<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.139672.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 1 approved, 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Agraib</surname>
                        <given-names>Lana M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0938-7961</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Al-Shami</surname>
                        <given-names>Islam</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7149-0885</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Alkhatib</surname>
                        <given-names>Buthaina</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6105-0680</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hasan</surname>
                        <given-names>Hanan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Food Technology and Nutrition, Faculty of Agriculture, Jerash University, Jerash, Jerash Governorate, Jordan</aff>
                <aff id="a2">
                    <label>2</label>Department of Clinical Nutrition and Dietetics, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan</aff>
                <aff id="a3">
                    <label>3</label>The University of Jordan, Amman, Jordan</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:bkhatib@hu.edu.jo">bkhatib@hu.edu.jo</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>23</day>
                <month>2</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2023</year>
            </pub-date>
            <volume>12</volume>
            <elocation-id>1382</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>13</day>
                    <month>2</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Agraib LM et al.</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/12-1382/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>B vitamins play a crucial role in the balance and metabolism of energy. Energy metabolism mainly benefits from the B-complex vitamins. Specifically, decarboxylation, transamination, acylation, oxidation, and reduction of substrates that are ultimately employed in energy intake require thiamin, riboflavin, niacin, and vitamin B6. Vitamin deficiency could lead to chronic disease occurrence.</p>
                </sec>
                <sec>
                    <title>Objectives</title>
                    <p>To assess the impact of energy-releasing B-vitamins intake (B1, B2, B3, and B6) on selected indices of obesity and cardiac function.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>A cross-sectional study was performed on 491 apparently healthy adults (18-64 years old) between January and May 2019 at Hashemite University, Jordan. Anthropometric measurements were taken, lipid profiles were analyzed, and indices of obesity and cardiac function were calculated. The typical dietary intake of B1, B2, B3, and B6 vitamins was calculated.</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Conicity index (CI) and abdominal volume index (AVI) scores significantly decreased with the increased adjusted vitamin B1 and B6 intake. Also, body roundness index (BRI), weight-adjusted-waist index (WWI), lipid accumulation product (LAP), and atherogenic index of plasma (AIP) scores were decreased with the increase of adjusted B6 intake (
                        <italic toggle="yes">p</italic>&lt;0.05). The total sample showed a significant inverse weak correlation between energy-adjusted intake of B1 and AVI (r= -0.156, 
                        <italic toggle="yes">p</italic>=0.001) and BRI (r= 0.111, 
                        <italic toggle="yes">p</italic>=0.014). Similar correlations were detected among male participants between energy-adjusted B1 intake and BAI, AVI, and BRI. Female participants had a significant weak inverse correlation between BAI and energy-adjusted B2 (r= -0.180, 
                        <italic toggle="yes">p</italic>=0.029) and B6 intake (r= -0.212, 
                        <italic toggle="yes">p</italic>=0.010). Only B1, the vitamin, significantly explained 2.43 and 1.24% of changes observed in the AVI and BRI scores, respectively (
                        <italic toggle="yes">p</italic>&lt;0.05).</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Increasing the consumption of B1, B2, and B6 may significantly lower values of indices of obesity and cardiac function regardless of sex differences. Thus reducing the occurrence of obesity and related coronary heart diseases.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>energy-releasing vitamins</kwd>
                <kwd>obesity indices</kwd>
                <kwd>cardiac function indices</kwd>
                <kwd>abdominal volume index</kwd>
                <kwd>body roundness index</kwd>
            </kwd-group>
            <funding-group>
                <funding-statement>The author(s) declared that no grants were involved in supporting this work.</funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>- A sentence with reference has been added to the introduction. - The conclusion of the abstract has been rewritten. - Two new 2 references have been added to the first paragraph of the discussion.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Micronutrients work as coenzymes, cocatalysts, and buffers and are essential for various cellular and biochemical processes, such as releasing energy for synthesis, movement, and other processes.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> Due to their impact on intracellular homocysteine concentration and oxidative stress, subclinical deficiencies in several micronutrients have the potential to significantly slow the development of chronic disease.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> When the consumption of a micronutrient falls below the current recommended dietary amount, a significant chronic metabolic disturbance may result from the nutrient deficiencies such as polycystic ovarian syndrome (PCOS), insulin resistance, obesity, and metabolic syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref45">5</xref>
                </sup> In recent years, many studies approved that nutrients could play a vital role in obesity and metabolic syndrome prevention. Also, energy-dense foods with deficit nutrients contribute to the development of obesity, metabolic syndrome, and inflammation.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref5">6</xref>
                </sup>
            </p>
            <p>B vitamins play a crucial role in the balance and metabolism of energy.
                <sup>
                    <xref ref-type="bibr" rid="ref6">7</xref>
                </sup> Energy metabolism mainly benefits from the B-complex vitamins. Specifically, decarboxylation, transamination, acylation, oxidation, and reduction of substrates that are ultimately employed in energy intake require thiamin, riboflavin, niacin, and vitamin B6. One or more of these are also necessary for synthesizing steroids, fatty acids, cholesterol, amino acids, and glucose.
                <sup>
                    <xref ref-type="bibr" rid="ref7">8</xref>
                </sup> B-vitamin deficiency may impact energy metabolism, and cause insulin resistance, chronic inflammation, obesity, and elevated oxidative stress, which may contribute to the pathophysiology of metabolic syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref8">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">10</xref>
                </sup> B-vitamin deficiency has been approved in individuals with obesity and metabolic syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref10">11</xref>
                </sup> Moreover, thiamin (B1) and riboflavin (B2) intake are inversely associated with body mass index (BMI).
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref6">7</xref>
                </sup> As energy metabolism may be affected by deficiencies in biotin, niacin (B3), folate, and vitamins B6 and B12, which may enhance the generation of reactive oxidants and inflammatory reactions, lipogenesis may also be promoted, which may increase obesity.
                <sup>
                    <xref ref-type="bibr" rid="ref11">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">13</xref>
                </sup> Additionally, B vitamins play a vital role (methyl group donor and act as a coenzyme) in DNA methylation, which is important for body adiposity regulation
                <sup>
                    <xref ref-type="bibr" rid="ref13">14</xref>
                </sup> and is associated with BMI.
                <sup>
                    <xref ref-type="bibr" rid="ref14">15</xref>
                </sup>
            </p>
            <p>Wu 
                <italic toggle="yes">et al.</italic>,
                <sup>
                    <xref ref-type="bibr" rid="ref5">6</xref>
                </sup> suggested that a higher intake of vitamins B1, B2, B3, B6, and dietary folate were associated with a reduced risk of metabolic syndrome. Also, numerous cardiovascular diseases (CVDs), and risk factors, such as type 1 and type 2 diabetes, obesity, chronic vascular inflammation, dyslipidemia, heart failure, myocardial infarction, and depression, have been linked to B1, B3, and B6 deficiency.
                <sup>
                    <xref ref-type="bibr" rid="ref10">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">16</xref>
                </sup>
            </p>
            <p>Dietary intake of B vitamins has been found to be inversely related to CVD, as their attribution in lowering CVD risk factors, such as plasma homocysteine, serum triglycerides, and C-reaction protein.
                <sup>
                    <xref ref-type="bibr" rid="ref16">17</xref>
                </sup> These risk factors have been linked to the atherosclerotic process
                <sup>
                    <xref ref-type="bibr" rid="ref17">18</xref>
                </sup> and endothelial dysfunction,
                <sup>
                    <xref ref-type="bibr" rid="ref18">19</xref>
                </sup> which engage in CVD development. B vitamins play a role in the metabolism of one carbon unit, therefore each of these nutrients may have an impact on the pathological development of CVD by reducing homocysteine concentrations, methylation processes, and oxidative stress.
                <sup>
                    <xref ref-type="bibr" rid="ref19">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">21</xref>
                </sup>
            </p>
            <p>Furthermore, nicotinamide adenine dinucleotide (NAD) and nicotinamide adenine dinucleotide phosphate (NADP) are redox mediator coenzymes that are precursors of B3,
                <sup>
                    <xref ref-type="bibr" rid="ref21">22</xref>
                </sup> which has also been demonstrated to enhance levels of high-density lipoprotein cholesterol (HDL), lower levels of triglycerides (TG), very low levels of low-density lipoprotein cholesterol (VLDL-C), and dramatically diminish the risk of CVD and the progression of atherosclerosis.
                <sup>
                    <xref ref-type="bibr" rid="ref22">23</xref>
                </sup> Based on the aforementioned, not enough data are available to cover the association between energy-releasing vitamins with indices of obesity and cardiac function. So, this study aimed to assess the impact of energy-releasing B-vitamins intake (B1, B2, B3, and B6) on selected indices of obesity and cardiac function.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Study design, participants, and ethical approval</title>
                <p>A cross-sectional study design was used and conducted on 491 apparently healthy randomly selected male and female adults, university employees, aged between 18-64 years old (between January and May 2019) at Hashemite University, Jordan. The participants were asked to sign informed consent before participation; an example of the consent form can be found as 
                    <italic toggle="yes">Extended data.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref23">24</xref>
                    </sup> Exclusion criteria were pregnant or lactating women, subjects with incomplete anthropometric measurements and/or biochemical data. The study was approved by The Hashemite University Ethics Committee, which authorized the protocols, tools, and procedures. All procedures were carried out according to the Declaration of Helsinki and the Institutional Board Review (IRB) (No.7/13/2018/2019; date approved 13/7/2018).</p>
            </sec>
            <sec id="sec4">
                <title>Data collection</title>
                <p>Demographic data including age, sex, marital status, education level, lifestyle data (such as smoking status and physical activity), medical history, and family history of diseases were gathered through conducting a face-to-face structured interview in a private room using closed-ended questions, which can be found as 
                    <italic toggle="yes">Extended data.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref24">25</xref>
                    </sup> The interviewer asked the participants questions and then filled out the data form with the participant responses to ensure the accuracy of filled data (took place over 15-18 minutes). The participants were asked to provide verbal and written consent before participation.</p>
            </sec>
            <sec id="sec5">
                <title>Qualitative variables</title>
                <p>Socio-demographic data, including age, sex, marital status, education level, lifestyle data (such as smoking status and physical activity), medical history, and family history of diseases, were gathered through professional staff face-to-face interviews. These data were collected using a designed list of questions created for the study and put through a reliability test, after completion by 25 participants in a pilot study (&#x03b1;=0.77). The first 24 hours of dietary intake were recorded during these interviews. Moreover, participants were asked to schedule another meeting for fasting blood sample testing and collecting the second 24-hour dietary recall.</p>
            </sec>
            <sec id="sec6">
                <title>Quantitative variables</title>
                <p>Each participant had a fasting blood sample drawn after 8-12 hours of fasting, which was subsequently examined using a standardized procedure. A biochemical autoanalyzer (SEAL - AA3 HR - Colorimeter) was used to analyze the triglyceride (TG) and high-density lipoprotein (HDL). Using standardized techniques, well-trained examiners measured anthropometric indices. Participants were measured for body weight and height, wearing light clothing and bare feet, to the nearest 0.1 kg and 0.1 cm, respectively. With the individual standing, the waist circumference was measured using a flexible anthropometric tape on the horizontal plane halfway between the lowest rib and the iliac crest. At the place where the buttocks are at their widest comprehensive hip circumference was measured over thin clothing. The measurements of both circumferences were made to the nearest 0.1 cm. BMI was computed as weight divided by height square (kg)/(m
                    <sup>2</sup>). The waist-to-height ratio was calculated (waist measurement divided by height measurement). Furthermore, in this study, five obesity indices were considered and calculated using standard formulas as follows: conicity index (CI) = WC (m)/(0.109 &#x00d7; &#x221a; (Bodyweight (kg)/Height (m))
                    <sup>
                        <xref ref-type="bibr" rid="ref25">26</xref>
                    </sup>; body adiposity index (BAI) = hip circumference (cm)/height (m)1.5&#x2013;18)
                    <sup>
                        <xref ref-type="bibr" rid="ref26">27</xref>
                    </sup>; abdominal volume index (AVI) = (2 cm (waist)
                    <sup>2</sup> + 0.7 cm (waist-hip)2)/1,000)
                    <sup>
                        <xref ref-type="bibr" rid="ref25">26</xref>
                    </sup>; body roundness index (BRI0 = 365.2 &#x2212; 365.5 &#x00d7; &#x221a;(1 &#x2212; ((WC/2&#x03c0;)
                    <sup>2</sup>)/((0.5 &#x00d7; height))
                    <sup>2</sup>))
                    <sup>
                        <xref ref-type="bibr" rid="ref27">28</xref>
                    </sup>; and weight-adjusted-waist index (WWI) = WC (cm) divided by the square root of weight (kg).
                    <sup>
                        <xref ref-type="bibr" rid="ref28">29</xref>
                    </sup>
                </p>
                <p>Moreover, cardiac function indices were considered and calculated, including an atherogenic index of plasma (AIP), lipid accumulation product (LAP), and cardiometabolic index (CMI), based on the following equations: LAP for males = (waist (cm)&#x2212;65) &#x00d7; TG concentration (mmol/l), and for female = (waist (cm)&#x2212;58) &#x00d7; TG concentration (mmol/l); CMI = TG/HDL-C &#x00d7;(waist-to-height); AIP = Log (TG/HDL-C).
                    <sup>
                        <xref ref-type="bibr" rid="ref29">30</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec7">
                <title>Dietary assessment</title>
                <p>Two nonconsecutive 24-hour day recalls measured dietary intake (weekday and weekend). The participants were instructed to recollect and list all foods and beverages they had from midnight to midnight the day before, along with their quantity, cooking technique, and the names of brands. To ascertain the typical dietary intake of B1, B2, B3, and B6 vitamins, the database of ingested items was connected to ESHA Food Processor Nutrition Analysis (RRID: SCR_022528) Software (version 11:0; ESHA Research). The average total intake of the selected vitamins after adjustment for energy intake was calculated, then using percentiles (33% and 66%); the subject intake was categorized as tertiles (T1 presents the lower intake, T3 presents medium intake, and T3 presents the higher intake). T1 was a value less than the 33 percentiles (B1: &lt;1.6536; B2: &lt;1.4200; B3: &lt; 25.6736; B6: &lt; 1.3700), T2 was the value between 33 and 66 percentiles (B1: 1.6536-2.2800; B2: 1.4200-1.9400; B3: 25.6736-36.6252; B6: 1.3700-1.9300), and T3 was the value above the 66 percentiles (B1: &gt;2.2800; B2: &gt;1.9400; B3: &gt;36.6252; B6: &gt;1.9300).</p>
            </sec>
            <sec id="sec8">
                <title>Bias</title>
                <p>To prevent sample bias, we selected a representative sample size, which was calculated based on the total Jordanian population using online software Raosoft (Raosoft Inc., free online software, Seattle, WA, USA). Also, the incomplete anthropometric measurements and/or biochemical data were excluded to eliminate information bias. However, there were no self-reporting data to bypass recall bias, the interviewers were trained for data collection.</p>
            </sec>
            <sec id="sec9">
                <title>Study size</title>
                <p>The sample size was calculated using the calculator Raosoft based on the Department of Statistics in 2020, adults represented 52.2% (5,621,970) of the total population (10,806,000) in Jordan. With a 5% error margin, 95% CI, and 50% response distribution, and after addition of 10%, the minimum sample size was 424 participants. The total number of final participants was 491.</p>
            </sec>
            <sec id="sec10">
                <title>Statistical analysis</title>
                <p>Shapiro&#x2013;Wilk test was used to verify the normality of variables. To describe the sample, descriptive statistical tests were used. Means and standard deviations (means&#x00b1; SD) were used to express continuous variables. Categorical variables, on the other hand, are displayed as frequencies and percentages (n (%)). Age groups stratified this analysis.</p>
                <p>Means and standard deviation to present the continuous variables were calculated using an ANOVA test. Based on the sample distribution and test statistics, inferential statistics were applied, including the student&#x2019;s t-test, chi-squared test, and independent samples t-test. The energy-adjusted intakes of B-vitamins were calculated by adding the expected mean nutrient intake of the study population to the residual derived from the regression analysis.
                    <sup>
                        <xref ref-type="bibr" rid="ref30">31</xref>
                    </sup> This energy adjustment method was computed from the residuals of the regression model with total energy intake as the independent variable and the nutrient as the dependent variable. Pearson correlation coefficient was performed to determine the correlation between obesity indices and macronutrient intake. The percentage change in the index explained by nutrient intake was calculated using r-square from linear regression analysis considering age and sex as confounding factors. The statistical significance was set at 
                    <italic toggle="yes">p</italic> &lt; 0.05. IBM SPSS Statistics (RRID: SCR_016479) version 25 (IBM, Chicago, IL, USA) was used.</p>
            </sec>
        </sec>
        <sec id="sec11" sec-type="results">
            <title>Results</title>
            <sec id="sec12">
                <title>Descriptive data</title>
                <p>From the total sample, 198 participants were aged between 20-34 years old, 169 were aged 35-44 years old, and 124 were aged 45-65 years old. Participants aged between 20-34 years old had a mean weight of 74.04 &#x00b1; 15.72 kg, WC 89.69 &#x00b1; 13.15 cm, HC 102.98 &#x00b1; 10.09 cm, and BMI 25.68 &#x00b1; 4.96 kg/m
                    <sup>2</sup>. The participants aged between 35-44 years old had a mean weight of 79.48 &#x00b1; 15.32 kg, WC 97.18 &#x00b1; 12.65 cm, HC 106.26 &#x00b1; 9.62 cm, and BMI 28.00 &#x00b1; 4.58 kg/m
                    <sup>2</sup>. While participants aged between 45-65 years old had a mean weight of 84.40 &#x00b1; 15.51 kg, WC 105.18 &#x00b1; 15.59 cm, HC 108.22 &#x00b1; 12.02 cm, and BMI 30.21 &#x00b1; 5.94 kg/m
                    <sup>2</sup>. Most of the participants in the different age groups were male (66.2, 68.0 and 79.0%, respectively) (
                    <xref ref-type="table" rid="T1">Table 1</xref>).
                    <sup>
                        <xref ref-type="bibr" rid="ref31">32</xref>
                    </sup> A total of 51.5% of participants aged 20-34 years old had a school-level education, while 57.4% and 50.8% of participants aged 35-44 and 45-65 years old, respectively, had a university-level education. Most of the participants aged 35-44 and 45-65 years old were single, whereas 43.9% of participants aged 20-34 years old were married and 55.6% were single. Participants aged 20-34 years old were either normal or overweight (49.5% and 30.3%, respectively). Participants aged 35-44 and 45-65 years old were either overweight (40.2% and 42.7%, respectively) or obese (32.0% and 41.1%, respectively). In addition, a larger proportion of the participants of all ages were physically active and smokers. Almost all the participants of different ages were disease-free (
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>The general characteristics of the study population (n=491).</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Variables</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Mean &#x00b1; SD</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
                                    <italic toggle="yes">p</italic>-value
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">20-34 y (n = 198)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">35-44 y (n = 169)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">45-65 y (n = 124)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Weight (kg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">74.04 &#x00b1; 15.72</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">79.48 &#x00b1; 15.32</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">84.40 &#x00b1; 15.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Waist circumference (WC) (cm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">89.69 &#x00b1; 13.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">97.18 &#x00b1; 12.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">105.18 &#x00b1; 15.59</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Hip circumference (HC) (cm)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">102.98 &#x00b1; 10.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">106.26 &#x00b1; 9.62</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">108.22 &#x00b1; 12.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body mass index (BMI) (kg/m
                                    <sup>2</sup>)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">25.68 &#x00b1; 4.96</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">28.00 &#x00b1; 4.58</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">30.21 &#x00b1; 5.94</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="3" rowspan="1" valign="middle">
                                    <bold>n (%)</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Sex</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">131 (66.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">115 (68.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">98 (79.0)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.038</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67 (33.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">54 (32.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26 (21.0)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Education level</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">School education level</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">102 (51.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">72 (42.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61 (49.2)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.221</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">University education level</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">96 (48.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">97 (57.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">63 (50.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Marital status</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Married</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">87 (43.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">148 (87.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">118 (95.2)</td>
                                <td align="left" colspan="1" rowspan="4" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Single</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">110 (55.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18 (10.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4 (3.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Divorced</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (1.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Widow</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Body mass index categories</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Underweight</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (4.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="4" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Normal weight</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">98 (49.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">46 (27.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20 (16.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Overweight</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">60 (30.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">68 (40.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">53 (42.7)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Obese</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32 (16.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">54 (32.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">51 (41.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Physical activity</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Active</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">128 (65.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">90 (53.3)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">63 (50.8)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.022</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Inactive</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">70 (35.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">79 (46.7)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61 (49.2)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Smoking</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">82 (41.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61 (36.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">57 (46.0)</td>
                                <td align="left" colspan="1" rowspan="4" valign="middle">0.002
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">63 (31.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67 (39.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">32 (25.8)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ex-smoker</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">9 (4.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">15 (8.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19 (15.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Passive smoking</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">44 (22.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">26 (15.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16 (12.9)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Having diabetes multiuse</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0 (0.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6 (3.6)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">22 (17.7)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">198 (100.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">163 (96.4)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">102 (82.3)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Having dyslipidemia</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11 (6.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">16 (12.9)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">197 (99.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">158 (93.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">108 (87.1)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Having hypertension</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2 (1.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">7 (4.1)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18 (14.5)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">196 (99.0)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">162 (95.9)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">106 (85.5)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Having heart disease</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1 (0.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3 (1.8)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">8 (6.5)</td>
                                <td align="left" colspan="1" rowspan="2" valign="middle">0.003
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">No</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">197 (99.5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">166 (98.2)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">116 (93.5)</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>
                                    <italic toggle="yes">p</italic>-value &lt; 0.05 considered statistically significant (2-tailed).</p>
                            </fn>
                            <fn id="tfn2">
                                <label>**</label>
                                <p>
                                    <italic toggle="yes">p</italic>-value is significant at the 0.01 level (2-tailed).</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
            <sec id="sec13">
                <title>Main results</title>
                <p>The average total intake of the macronutrients and selected B vitamins were 3,050.09 &#x00b1; 914.90 Kcal for energy, 364.32 &#x00b1; 118.76 g for carbohydrate, 98.28 &#x00b1; 41.29 g for protein, 134.89 &#x00b1; 58.84 g for fat, 2.09 &#x00b1; 0.82 mg for unadjusted B1 vitamin, 1.79 &#x00b1; 0.83 mg for unadjusted B2 vitamin, 32.84 &#x00b1; 14.16 mg for unadjusted B3 vitamin, and 2.02 &#x00b1; 6.29 mg for unadjusted B6 vitamin. The mean intake and tertiles range for adjusted B vitamins were: 2.09 &#x00b1; 0.59 mg (T1: &lt;1.89; T2: 1.89-2.38; T3: &gt;2.38) for energy-adjusted B1 vitamin, 1.79 &#x00b1; 0.70 mg (T1: &lt;1.54; T2: 1.54-1.88; T3: &gt;1.88) for energy-adjusted B2 vitamin, 32.8 &#x00b1; 12.34 mg (T1: &lt;26.11; T2: 26.11-36.33; T3: &gt;36.33) for energy-adjusted B3 vitamin, and 2.02 &#x00b1; 6.22 mg (T1: &lt;1.47; T2: 1.47-2.06; T3: &gt;2.06) for energy-adjusted B6 vitamin.</p>
                <p>The mean score of indices of obesity and cardiac function among the adjusted B vitamins tertiles are shown in 
                    <xref ref-type="table" rid="T2">Table 2</xref>. Among adjusted vitamin B1 intake tertiles, the CI and AVI index score significantly decreased as the intake of B1 intake increased (CI: T1 = 1.31 &#x00b1; 0.01 
                    <italic toggle="yes">vs.</italic> T3 = 1.28 &#x00b1; 0.01, 
                    <italic toggle="yes">p</italic> = 0.031; AVI: T1=20.75 &#x00b1; 0.64 
                    <italic toggle="yes">vs.</italic> T3 = 18.14 &#x00b1; 0.43, 
                    <italic toggle="yes">p</italic> = 0.02). Among adjusted B6 tertiles the score of the CI (T1 = 1.33 &#x00b1; 0.01 
                    <italic toggle="yes">vs.</italic> T3 = 1.27 &#x00b1; 0.01, 
                    <italic toggle="yes">p</italic> &lt; 0.001), AVI (T1 = 20.62 &#x00b1; 0.57 
                    <italic toggle="yes">vs.</italic> T3 = 17.43 &#x00b1; 0.36, 
                    <italic toggle="yes">p</italic> &lt; 0.001), BRI (T1 = 2.19 &#x00b1; 0.09 
                    <italic toggle="yes">vs.</italic> T3 = 1.60 &#x00b1; 0.06, 
                    <italic toggle="yes">p</italic> &lt; 0.001), WWI (T1 = 11.16 &#x00b1; 0.09 
                    <italic toggle="yes">vs.</italic> T3 = 10.71 &#x00b1; 0.06, 
                    <italic toggle="yes">p</italic> &lt; 0.001), LAP (T1 = 69.29 &#x00b1; 4.48 
                    <italic toggle="yes">vs.</italic> T3 = 50.31 &#x00b1; 3.09, 
                    <italic toggle="yes">p</italic> = 0.048), AIP (T1 = 0.55 &#x00b1; 0.03 
                    <italic toggle="yes">vs.</italic> T3 = 0.46 &#x00b1; 0.02, 
                    <italic toggle="yes">p</italic> = 0.034) decreased significantly as we moved from T1 to T3.</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>The mean scores of indices of obesity and cardiac function among the adjusted B-vitamins tertiles.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Nutrient</th>
                                <th align="left" colspan="3" rowspan="1" valign="top">Mean &#x00b1; SEM</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
                                    <italic toggle="yes">p</italic>-value
                                    <xref ref-type="table-fn" rid="tfn3">*</xref>
                                </th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">T1 (n = 165)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">T2 (n = 163)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">T3 (n = 163)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Vitamin B1</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Conicity Index (CI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.31 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.31 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.28 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.031
                                    <xref ref-type="table-fn" rid="tfn3">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body adiposity index (BAI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.49 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.50 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.50 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.582</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Abdominal volume index (AVI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20.75 &#x00b1; 0.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.14 &#x00b1; 0.39</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.14 &#x00b1; 0.43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002
                                    <xref ref-type="table-fn" rid="tfn4">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body Roundness Index (BRI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.01 &#x00b1; 0.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.79 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.72 &#x00b1; 0.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.059</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Weight-adjusted-waist index (WWI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.90 &#x00b1; 0.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.94 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.79 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.275</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cardiometabolic index (CMI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.59 &#x00b1; 0.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.44 &#x00b1; 0.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.68 &#x00b1; 0.28</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.734</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Lipid accumulation product (LAP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">61.92 &#x00b1; 4.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">56.83 &#x00b1; 3.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">62.47 &#x00b1; 7.78</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.728</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Atherogenic index of plasma (AIP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.53 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48 &#x00b1; 0.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.428</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Vitamin B2</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Conicity Index (CI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.31 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.29 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.29 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.442</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body adiposity index (BAI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.51 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.49 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.51 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.259</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Abdominal volume index (AVI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.51 &#x00b1; 0.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.94 &#x00b1; 0.37</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.02 &#x00b1; 0.47</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.693</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body Roundness Index (BRI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.82 &#x00b1; 0.11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.83 &#x00b1; 0.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.77 &#x00b1; 0.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.816</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Weight-adjusted-waist index (WWI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.91 &#x00b1; 0.10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.89 &#x00b1; 0.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.83 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.773</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cardiometabolic index (CMI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.90 &#x00b1; 0.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.54 &#x00b1; 0.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.34 &#x00b1; 0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.359</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Lipid accumulation product (LAP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">67.85 &#x00b1; 12.38</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">59.26 &#x00b1; 3.21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55.29 &#x00b1; 3.80</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.400</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Atherogenic index of plasma (AIP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.50 &#x00b1; 0.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.832</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Vitamin B3</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Conicity Index (CI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.30 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.29 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.30 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.866</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body adiposity index (BAI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.50 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.50 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.51 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.644</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Abdominal volume index (AVI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.20 &#x00b1; 0.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">18.92 &#x00b1; 0.51</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.18 &#x00b1; 0.44</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.890</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body Roundness Index (BRI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.82 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.80 &#x00b1; 0.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.80 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.972</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Weight-adjusted-waist index (WWI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.89 &#x00b1; 0.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.86 &#x00b1; 0.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.87 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.943</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cardiometabolic index (CMI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.33 &#x00b1; 0.23</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.48 &#x00b1; 0.17</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.86 &#x00b1; 0.31</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.292</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Lipid accumulation product (LAP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">55.54 &#x00b1; 4.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">58.57 &#x00b1; 3.98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">65.70 &#x00b1; 8.41</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.460</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Atherogenic index of plasma (AIP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.45 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.50 &#x00b1; 0.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.52 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.209</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Vitamin B6</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Conicity Index (CI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.33 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.30 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.27 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn4">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body adiposity index (BAI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.49 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.50 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-17.51 &#x00b1; 0.01</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.051</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Abdominal volume index (AVI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">20.62 &#x00b1; 0.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">19.09 &#x00b1; 0.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">17.43 &#x00b1; 0.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn4">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Body Roundness Index (BRI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.19 &#x00b1; 0.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.76 &#x00b1; 0.08</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.60 &#x00b1; 0.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn4">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Weight-adjusted-waist index (WWI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">11.16 &#x00b1; 0.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.84 &#x00b1; 0.07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10.71 &#x00b1; 0.06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn4">**</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cardiometabolic index (CMI)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.78 &#x00b1; 0.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.79 &#x00b1; 0.36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.24 &#x00b1; 0.15</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.163</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Lipid accumulation product (LAP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">69.29 &#x00b1; 4.48</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">64.63 &#x00b1; 9.13</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">50.31 &#x00b1; 3.09</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.048
                                    <xref ref-type="table-fn" rid="tfn3">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Atherogenic index of plasma (AIP)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.55 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.48 &#x00b1; 0.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.46 &#x00b1; 0.02</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.034
                                    <xref ref-type="table-fn" rid="tfn3">*</xref>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn3">
                                <label>*</label>
                                <p>
                                    <italic toggle="yes">p</italic>-value &lt; 0.05 considered statistically significant (2-tailed).</p>
                            </fn>
                            <fn id="tfn4">
                                <label>**</label>
                                <p>
                                    <italic toggle="yes">p</italic>-value is significant at the 0.01 level (2-tailed).</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
                <p>The association between indices of obesity and cardiac function with the adjusted energy intake of B vitamins among the total sample and based on sex are illustrated in 
                    <xref ref-type="table" rid="T3">Table 3</xref>. The energy-adjusted intake of B1 for the total sample had a significantly inverse weak correlation with AVI (r = -0.156, 
                    <italic toggle="yes">p</italic> = 0.001) and BRI (r = -0.111, 
                    <italic toggle="yes">p</italic> = 0.014). Among male participants, similar correlations were detected between energy adjusted B1 intake and BAI (r = -0.207, 
                    <italic toggle="yes">p</italic> &lt; 0.001), AVI (r = -0.145, 
                    <italic toggle="yes">p</italic> = 0.007), and BRI (r = -0.163, 
                    <italic toggle="yes">p</italic> = 0.002). While, among female participants, there was a significant weak inverse correlation between BAI and energy adjusted B2 (r = -0.180, 
                    <italic toggle="yes">p</italic> = 0.029) and B6 intake (r = -0.212, 
                    <italic toggle="yes">p</italic> = 0.010). Moreover, there was a significant weak inverse association between energy adjusted B6 intake and AVI (r = -0.252, 
                    <italic toggle="yes">p</italic> = 0.002), BRI (r = -0.230, 
                    <italic toggle="yes">p</italic> = 0.005), and LAP (r = -0.179, 
                    <italic toggle="yes">p</italic> = 0.030) indices.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>The correlation between adjusted for energy vitamin B1, B2, B3, and B6 intake with obesity and cardiac function indices.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">B-vitamins</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">Statistical analysis</th>
                                <th align="left" colspan="8" rowspan="1" valign="top">Indices of obesity and cardiac function</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">CI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">BAI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">AVI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">BRI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">WWI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">CMI</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">LAP</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">AIP</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="10" rowspan="1" valign="top">
                                    <bold>Total participants</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B1 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.078</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.064</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.156</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.111</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.041</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.022</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <italic toggle="yes">p</italic>-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.084</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.155</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001
                                    <xref ref-type="table-fn" rid="tfn5">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.014
                                    <xref ref-type="table-fn" rid="tfn6">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.362</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.372</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.371</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.631</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B2 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.047</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.036</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.058</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.029</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.054</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.051</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.010</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <italic toggle="yes">p-</italic>value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.298</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.421</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.203</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.379</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.518</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.235</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.257</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.823</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B3 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.031</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.010</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.007</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.049</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.034</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.071</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.989</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.500</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.979</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.829</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.875</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.276</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.450</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.115</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B6 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.064</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.014</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.051</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.055</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.070</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.022</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.028</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.013</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.156</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.756</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.263</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.222</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.120</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.620</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.530</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.772</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="10" rowspan="1" valign="top">
                                    <bold>Male participants</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B1 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.020</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.207</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.145</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.163</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.078</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.079</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.030</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.716</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">&lt;0.001
                                    <xref ref-type="table-fn" rid="tfn5">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.007
                                    <xref ref-type="table-fn" rid="tfn5">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002
                                    <xref ref-type="table-fn" rid="tfn5">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.465</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.149</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.141</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.583</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B2 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.038</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.010</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.014</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.006</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.028</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.019</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.026</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.037</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.488</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.846</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.799</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.916</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.604</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.725</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.629</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.493</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B3 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.020</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.042</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.025</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.036</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.027</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.095</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.058</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.093</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.706</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.441</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.650</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.502</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.619</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.077</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.281</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.085</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B6 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.070</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.015</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.049</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.058</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.076</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.020</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.025</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.007</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.194</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.786</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.369</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.280</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.157</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.710</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.650</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.890</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="10" rowspan="1" valign="top">
                                    <bold>Female participants</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B1 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.137</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.127</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.042</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.048</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.147</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.073</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.080</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.105</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <italic toggle="yes">p</italic>-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.097</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.126</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.618</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.565</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.076</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.381</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.336</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.206</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B2 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.039</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.180</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.079</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.082</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.022</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.098</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.093</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.033</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.639</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.029
                                    <xref ref-type="table-fn" rid="tfn6">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.339</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.322</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.788</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.239</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.263</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.690</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B3 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.039</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.015</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.046</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.036</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.077</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.065</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.021</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.642</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.854</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.584</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.634</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.663</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.357</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.435</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.800</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2" valign="middle">B6 intake (mg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Pearson r</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.136</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.212</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.252</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.230</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.131</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.111</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.179</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0.112</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">p-value</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.100</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.010
                                    <xref ref-type="table-fn" rid="tfn5">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002
                                    <xref ref-type="table-fn" rid="tfn5">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.005
                                    <xref ref-type="table-fn" rid="tfn5">**</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.112</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.179</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.030
                                    <xref ref-type="table-fn" rid="tfn6">*</xref>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.175</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>CI: Conicity Index; BAI: Body adiposity index; AVI: Abdominal volume index; BRI: Body Roundness Index; WWI: Weight-adjusted-waist index; CMI: Cardiometabolic index; LAP: Lipid accumulation product; AIP: Atherogenic index of plasma.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn5">
                                <label>**</label>
                                <p>Correlation is significant at the 0.01 level (2-tailed).</p>
                            </fn>
                            <fn id="tfn6">
                                <label>*</label>
                                <p>Correlation is significant at the 0.05 level (2-tailed).</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
                <p>For more details, the percentage changes in indices of obesity and cardiac function explained by energy-adjusted B vitamins intakes using the linear regression model are presented in 
                    <xref ref-type="table" rid="T4">Table 4</xref>. Among B vitamins, only vitamin B1 significantly explained 2.43% of changes observed in the AVI score and 1.24% of changes observed in the BRI score (
                    <italic toggle="yes">p</italic> &lt; 0.05).</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Changes in obesity and cardiac function indices based on B vitamin intake using the linear regression model.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Model</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">R</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">R Square change</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">% change</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">
                                    <italic toggle="yes">p-</italic>value for change
                                    <xref ref-type="table-fn" rid="tfn7">*</xref>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Conicity Index (CI)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.078</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.006</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.61%</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.084</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.047</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.22%</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.298</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.00%</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.989</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.064</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.004</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.41%</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.156</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Body adiposity index (BAI)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.064</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.004</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.41%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.155</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.036</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.13%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.421</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.031</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.09%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.500</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.014</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.02%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.756</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Abdominal volume index (AVI)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.156</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.024</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2.43%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001
                                    <xref ref-type="table-fn" rid="tfn7">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.058</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.003</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.33%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.203</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.00%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.979</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.051</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.003</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.26%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.263</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Body Roundness Index (BRI)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.111</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.012</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1.24%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.014
                                    <xref ref-type="table-fn" rid="tfn7">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.16%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.379</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.010</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.829</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.055</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.003</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.31%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.222</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Weight-adjusted-waist index (WWI)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.041</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.17%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.362</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.029</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.09%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.518</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.007</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.875</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.070</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.005</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.49%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.120</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Cardiometabolic index (CMI)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.16%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.372</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.054</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.003</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.29%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.235</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.049</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.24%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.276</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.022</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.05%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.620</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Lipid accumulation product (LAP)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.040</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.002</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.16%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.371</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.051</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.003</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.26%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.257</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.034</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.12%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.450</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.028</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.001</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.08%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.530</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="middle">
                                    <bold>Atherogenic index of plasma (AIP)</bold>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.022</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.05%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.631</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.010</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.01%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.823</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B3</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.071</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.005</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.51%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.115</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Adjusted Vitamin B6</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.013</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.000</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.02%</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.772</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn-group content-type="footnotes">
                            <fn id="tfn7">
                                <label>*</label>
                                <p>
                                    <italic toggle="yes">p</italic>-value &lt; 0.05 considered statistically significant (2-tailed).</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec14" sec-type="discussion">
            <title>Discussion</title>
            <p>Obesity is considered to be one of the malnutrition forms, which develops individually and as a result of unbalanced nutrition.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Based on The World Health Organization (WHO), obesity is defined as the &#x201c;double burden of malnutrition&#x201d; and indicates that it may occur more frequently in socioeconomically underdeveloped and poorly nourished societies side by side with malnutrition, and in consequence, chronic diseases may develop.
                <sup>
                    <xref ref-type="bibr" rid="ref32">33</xref>
                </sup> Vitamins B1 (thiamine), B2 (Riboflavin), B3 (niacin), and B6 (pyridoxine), all of which are vital for the metabolism of energy, carbohydrate, lipid, and amino acid, as well as the regulation of the cellular redox state.
                <sup>
                    <xref ref-type="bibr" rid="ref10">11</xref>
                </sup> Some studies have revealed that obesity is associated with low levels of fruit intake, total diet quality, and micronutrient intake compared to normal BMI, which means that people living with obesity may consume fewer micronutrients due to the foods they eat and subsequently may lead to low levels of water-soluble vitamins.
                <sup>
                    <xref ref-type="bibr" rid="ref10">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">34</xref>
                </sup> Also, it has been found that the requirements of B vitamins has been increased for people with obesity, diabetes, and peripheral neuropathy.
                <sup>
                    <xref ref-type="bibr" rid="ref46">35</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref47">36</xref>
                </sup>
            </p>
            <p>The current study studied the association between dietary intake of B vitamins; specifically, B1, B2, B3, and B6, with indices of obesity and cardiac function were studied. Among these B vitamins, B1 and B6 had a significant association with some of the obesity indices; B2 with BAI indices, and B6 had a significant association with LAP (one of the cardiac function indices) The result revealed that the score of obesity indices CI and AVI decreased with an increase in the dietary intake of vitamin B1. Moreover, the energy-adjusted intake of B1 had a significantly inverse weak correlation with AVI and BRI among the total sample and male participants. Energy-adjusted B1 vitamin significantly explained 2.43% of changes observed in the AVI and 1.24% of changes observed in the BRI indices (
                <italic toggle="yes">p</italic> &lt; 0.05). In addition, based on this study result, increasing the intake of B6 led to reductions in the score of obesity (CI, AVI, BRI, WWI) and cardiac function indices (LAP and AIP).</p>
            <p>By these results, Kerns 
                <italic toggle="yes">et al.</italic>, reported that 15.5&#x2013;29% of patients with obesity who seek bariatric surgery have malnutrition disease, specifically, B1 deficiency.
                <sup>
                    <xref ref-type="bibr" rid="ref34">37</xref>
                </sup> In line with the present findings, B1 deficiency was found in children with obesity, and most of those cases were subclinical.
                <sup>
                    <xref ref-type="bibr" rid="ref35">38</xref>
                </sup> Kardas 
                <italic toggle="yes">et al.</italic>, observed significantly decreased levels of vitamin B2, vitamin B12, and B9 in the obesity and metabolic syndrome groups.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> By contrast, they observed an increased level of B1 with a positive correlation with LDL-C and a negative correlation with HOMA-IR and body weight in the target group.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Studies show that vitamin B2 deficiency causes functional alterations in adipocytes, and thus has pro-inflammatory and proinsulin effects, resulting from increased adipocytes.
                <sup>
                    <xref ref-type="bibr" rid="ref36">39</xref>
                </sup> Moreover, in the subjects with obesity, an inverse correlation was found between vitamin B6 and body weight.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Gunanti 
                <italic toggle="yes">et al.</italic> (2014) examined the associations between serum B vitamins and vitamin intake with body fat in Mexican American children aged 8&#x2013;15 years. B1 and B2 intakes were inversely associated with BMI and trunk fat mass (b:21.26, 
                <italic toggle="yes">p</italic> &lt; 0.05; b: 21.37, 
                <italic toggle="yes">p</italic> &lt; 0.05).
                <sup>
                    <xref ref-type="bibr" rid="ref6">7</xref>
                </sup> Different suggested mechanisms have been introduced to describe the correlation between B-vitamin deficiency and obesity occurrence, all are summarized in 
                <xref ref-type="fig" rid="f1">Figure 1</xref>. The interaction mechanism between the reduced serum B-complex level and obesity includes the reduction in B1, B2, B3, and B6 levels associated with an increased risk of metabolic syndrome, which is considered one of the major cases of obesity.
                <sup>
                    <xref ref-type="bibr" rid="ref5">6</xref>
                </sup> Also, decreases in the levels of B1 and B2 are correlated with increased BMI,
                <sup>
                    <xref ref-type="bibr" rid="ref6">7</xref>
                </sup> and B6 regulates the expression of peroxisome proliferator-activated receptor gamma (PPAR&#x03b3;), which is a target gene that plays a key role in adipocyte gene expression and adipogenesis.
                <sup>
                    <xref ref-type="bibr" rid="ref12">13</xref>
                </sup> Additionally, decreased B1, B3, and B6 concentrations correlate significantly with an increased risk of insulin resistance, metabolic dysfunction, and obesity.
                <sup>
                    <xref ref-type="bibr" rid="ref37">40</xref>
                </sup> Moreover, generally, B vitamins have a fundamental role in the lipid and lipoprotein metabolism cascade. Therefore, quantitative or qualitative defects in B vitamins will negatively impact the metabolism of lipid derivatives.
                <sup>
                    <xref ref-type="bibr" rid="ref38">41</xref>
                </sup> Also, B2 plays a vital role in energy-expenditure adipocyte gene regulation at the epigenetic level.
                <sup>
                    <xref ref-type="bibr" rid="ref39">42</xref>
                </sup> The final suggested mechanism is that increased body weight leads to the reduction of vitamin B6 levels by inducing systemic oxidative stress, which leads to stimulating adipocytokines dysregulation.
                <sup>
                    <xref ref-type="bibr" rid="ref6">7</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">23</xref>
                </sup>
            </p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Mechanism of interaction between reduction level of serum B-complex and obesity.</title>
                    <p>(1) Deficiencies in B7, B6, B9, and B12 lead to energy metabolism disruption, which induces the production of reactive oxygen species, inflammation, and lipogenesis.
                        <sup>
                            <xref ref-type="bibr" rid="ref6">7</xref>
                        </sup> (2) Reduced levels of B1, B2, B3, and B6 levels are associated with an increased risk of metabolic syndrome, which is considered one of the major cases of obesity.
                        <sup>
                            <xref ref-type="bibr" rid="ref5">6</xref>
                        </sup> (3) Decreased levels of B1 and B2 are correlated with increased body mass index (BMI).
                        <sup>
                            <xref ref-type="bibr" rid="ref6">7</xref>
                        </sup> (4) B6 regulates the expression of peroxisome proliferator-activated receptor gamma)PPARg(target genes, which play a key role in adipocyte gene expression and adipogenesis.
                        <sup>
                            <xref ref-type="bibr" rid="ref41">44</xref>
                        </sup> (5) Decreased B1, B3, and B6 concentrations are significantly correlated with increased risk of insulin resistance, metabolic dysfunction and obesity.
                        <sup>
                            <xref ref-type="bibr" rid="ref42">45</xref>
                        </sup> (6) B vitamins are fundamental in the lipid and lipoprotein metabolism cascade. Therefore, quantitative or qualitative defects in B vitamins will negatively impact the metabolism of lipid derivatives.
                        <sup>
                            <xref ref-type="bibr" rid="ref37">40</xref>
                        </sup> (7) B2 plays a vital role in energy-expenditure adipocyte gene regulation at the epigenetic level.
                        <sup>
                            <xref ref-type="bibr" rid="ref43">46</xref>
                        </sup> (8) Increased body weight leads to the reduction of vitamin B6 levels by inducing systemic oxidative stress, which leads to stimulating cytokines dysregulation.
                        <sup>
                            <xref ref-type="bibr" rid="ref6">7</xref>
                        </sup>
                        <sup>,</sup>
                        <sup>
                            <xref ref-type="bibr" rid="ref38">41</xref>
                        </sup>
                    </p>
                </caption>
                <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/162623/db3ec99c-785b-40d1-973b-0adf7a6183e2_figure1.gif"/>
            </fig>
            <p>Studies investigating the prevalence of B1 deficiency among patients with cardiovascular diseases (CVDs) concluded that B1 deficiency could have a role in the development of CVDs.
                <sup>
                    <xref ref-type="bibr" rid="ref15">16</xref>
                </sup> Odum 
                <italic toggle="yes">et al.</italic> (2012) found that the mean plasma vitamins B1, B3, B6 and C concentrations of subjects with metabolic syndrome were significantly lower than that of controls (
                <italic toggle="yes">p</italic> = 0.001, 0.05, 0.045, 0.001, respectively). Also, 14% and 32% of subjects had inadequate vitamin B1 and vitamin C status, respectively.
                <sup>
                    <xref ref-type="bibr" rid="ref10">11</xref>
                </sup> Additionally, Wu 
                <italic toggle="yes">et al.</italic>, found a linear inverse relationship between dietary vitamin B1, niacin, B6, and metabolic syndrome, and a non-linear inverse relationship was found between dietary vitamin B2 and metabolic syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref5">6</xref>
                </sup> It was noted that vitamin B6 supplementation is vital in preventing metabolic syndrome and pyridoxine levels were lower in patients with metabolic syndrome compared to those in healthy patients.
                <sup>
                    <xref ref-type="bibr" rid="ref39">42</xref>
                </sup> They suggested that a higher intake of vitamin B1, B2, niacin, B6, and dietary folate equivalent was associated with a reduced risk of metabolic syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref5">6</xref>
                </sup> Not like other results, Kardas 
                <italic toggle="yes">et al.</italic>, found that B1 levels were high in subjects with obesity and metabolic syndrome; they explained this difference by the fact that these individuals typically consumed large quantities of bread and cereals, which are considered major sources of B1.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> Many suggested mechanisms have been introduced to describe the association between B-vitamin deficiency and metabolic syndrome and coronary heart diseases, all are summarized in 
                <xref ref-type="fig" rid="f2">Figure 2</xref>.</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Relationship between B-vitamins intake and cardiovascular disease.</title>
                    <p>(1) B3 intake leads to decreased serum levels of low-density lipoprotein cholesterol (LDL), very low-density lipoprotein cholesterol (VLDL), and triglycerides (TG). Also, increased levels of high-density lipoprotein cholesterol (HDL).
                        <sup>
                            <xref ref-type="bibr" rid="ref19">20</xref>
                        </sup> (2) Vitamins B2, B6, B9, and B12 are vital in homocysteine demethylation into methionine, leading to decreased risk of atherosclerosis.
                        <sup>
                            <xref ref-type="bibr" rid="ref13">14</xref>
                        </sup>
                        <sup>,</sup>
                        <sup>
                            <xref ref-type="bibr" rid="ref19">20</xref>
                        </sup> (3) Decreased levels of folate intake lead to decreased DNA-methylation, which has been detected in atherosclerotic lesions.
                        <sup>
                            <xref ref-type="bibr" rid="ref44">47</xref>
                        </sup> Also, B6 is associated with reduced risk of metabolic syndrome.
                        <sup>
                            <xref ref-type="bibr" rid="ref5">6</xref>
                        </sup> (4) Low B1, B3, and B6 levels were associated with increased insulin resistance, metabolic dysfunction, and increased risk of atherosclerosis, obesity, metabolic syndrome, diabetes, and cardiovascular disease.
                        <sup>
                            <xref ref-type="bibr" rid="ref10">11</xref>
                        </sup>
                        <sup>,</sup>
                        <sup>
                            <xref ref-type="bibr" rid="ref40">43</xref>
                        </sup>
                    </p>
                </caption>
                <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/162623/db3ec99c-785b-40d1-973b-0adf7a6183e2_figure2.gif"/>
            </fig>
            <p>B3 intake is suggested to decrease serum levels of LDL, VLDL, and TG, as well as, increase levels of HDL.
                <sup>
                    <xref ref-type="bibr" rid="ref19">20</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref22">23</xref>
                </sup> Also, vitamins B2 and B6 have a vital role in homocysteine demethylation into methionine, which leads to decreased risk of atherosclerosis.
                <sup>
                    <xref ref-type="bibr" rid="ref13">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref19">20</xref>
                </sup> Additionally, B6 is associated with a reduced risk of metabolic syndrome.
                <sup>
                    <xref ref-type="bibr" rid="ref5">6</xref>
                </sup> Lastly, low levels of B1, B3, and B6 are associated with increased insulin resistance, metabolic dysfunction, and increased risk of atherosclerosis, obesity, metabolic syndrome, diabetes, and cardiovascular disease.
                <sup>
                    <xref ref-type="bibr" rid="ref10">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref40">43</xref>
                </sup>
            </p>
            <p>This study is one of the early studies that placed importance on examining the relationship between inadequate dietary intake of energy-releasing B-vitamins, and each of the indices of obesity and cardiac function in healthy individuals. There are not enough studies that clarify the correlation between B vitamins and indices of obesity and cardiac function. This provides the scope to highlight the significance of dietary consumption and the part that nutritional inadequacies play in the prevalence of obesity and heart disease.</p>
            <p>The present study had certain limitations. First, because the study was cross-sectional, it was impossible to conclusively establish a causal link between obesity, cardiac function indices, and dietary intake of B vitamins. The availability of both conventional and innovative anthropometric measures as well as cardiac function indices is one of our study&#x2019;s key strengths. Additionally, because the current data were gathered before the COVID-19 pandemic, they can be used to compare studies done before and after the pandemic by researchers in the same field. Another key benefit of the study is the originality of its investigation of the relationship between indicators of cardiac function and several chosen nutrients. We selected a representative sample size to prevent sample bias, which was calculated based on the total Jordanian population using online software. Also, the incomplete anthropometric measurements and/or biochemical data have been excluded to eliminate information bias. However, there were no self-reporting data to bypass recall bias, the interviewers were trained for data collection.</p>
        </sec>
        <sec id="sec15" sec-type="conclusions">
            <title>Conclusions</title>
            <p>In conclusion, after energy adjustment, obesity indices are inversely associated with B1, B2, and B6 vitamins. Specifically, AVI and BRI were inversely associated with B1 and B6 vitamins, whereas BAI was inversely associated with B2 vitamins among female participants. Only the B6 vitamin was inversely associated with LAP and AIP among cardiac function indices. Increasing the intake of these vitamins (B1, B2, and B6) results in reducing the score of obesity (CI, AVI, BRI, WWI) and cardiac function indices (LAP and AIP), which in consequence may help reduce the occurrence of obesity and related coronary diseases.</p>
        </sec>
    </body>
    <back>
        <sec id="sec18" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec19">
                <title>Underlying data</title>
                <p>Zenodo: The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.8159117">https://doi.org/10.5281/zenodo.8159117</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref31">32</xref>
</sup>
                </p>
                <p>The project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Supplementary File 1-Energy releasing B vitamins 13-1-2023.sav (Anonymized participant data used in this study)
</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec20">
                <title>Extended data</title>
                <p>Zenodo: The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.8167423">https://doi.org/10.5281/zenodo.8167423</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref24">25</xref>
</sup>
                </p>
                <p>This project contains the list of interview questions used with 24-hour recall form.</p>
                <p>Zenodo: The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.8167442">https://doi.org/10.5281/zenodo.8167442</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref23">24</xref>
</sup>
                </p>
                <p>This project contains an example of the consent form used.</p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgments</title>
            <p>The authors thank the participants for their patience and great help. Grammarly software program has been used to enhance language editing.</p>
        </ack>
        <ref-list>
            <title>References</title>
            <ref id="ref1">
                <label>1</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Monteverde</surname>
                            <given-names>D</given-names>
                        </name>

                        <name name-style="western">
                            <surname>G&#x00f3;mez-Consarnau</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Suffridge</surname>
                            <given-names>C</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Life&#x2019;s utilization of B vitamins on early Earth.</article-title>
                    <source>

                        <italic toggle="yes">Geobiology.</italic>
</source>
                    <year>2017</year>;<volume>15</volume>(<issue>1</issue>):<fpage>3</fpage>&#x2013;<lpage>18</lpage>.
                    <pub-id pub-id-type="pmid">27477998</pub-id>
                    <pub-id pub-id-type="doi">10.1111/gbi.12202</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Karda&#x015f;</surname>
                            <given-names>F</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Y&#x00fc;cel</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kendirci</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Evaluation of micronutrient levels in children and adolescents with obesity and their correlation with the components of metabolic syndrome.</article-title>
                    <source>

                        <italic toggle="yes">Turk. J. Pediatr.</italic>
</source>
                    <year>2021</year>;<volume>63</volume>(<issue>1</issue>):<fpage>48</fpage>&#x2013;<lpage>68</lpage>.
                    <pub-id pub-id-type="doi">10.24953/turkjped.2021.01.006</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref3">
                <label>3</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Motamed</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ebrahimi</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Safarian</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Micronutrient intake and the presence of the metabolic syndrome.</article-title>
                    <source>

                        <italic toggle="yes">N. Am. J. Med. Sci.</italic>
</source>
                    <year>2013</year>;<volume>5</volume>(<issue>6</issue>):<fpage>377</fpage>&#x2013;<lpage>385</lpage>.
                    <pub-id pub-id-type="pmid">23923113</pub-id>
                    <pub-id pub-id-type="doi">10.4103/1947-2714.114171</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref4">
                <label>4</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Via</surname>
                            <given-names>M</given-names>
                        </name>
</person-group>:
                    <article-title>The malnutrition of obesity: micronutrient deficiencies that promote diabetes.</article-title>
                    <source>

                        <italic toggle="yes">ISRN Endocrinol.</italic>
</source>
                    <year>2012</year>;<volume>2012</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>.
                    <pub-id pub-id-type="doi">10.5402/2012/103472</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref45">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Szczuko</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Hawry&#x0142;kowicz</surname>
                            <given-names>V</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kikut</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The implications of vitamin content in the plasma in reference to the parameters of carbohydrate metabolism and hormone and lipid profiles in PCOS.</article-title>
                    <source>

                        <italic toggle="yes">J. Steroid Biochem. Mol. Biol.</italic>
</source>
                    <year>2020</year>;<volume>198</volume>: 105570.
                    <pub-id pub-id-type="pmid">31883924</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.jsbmb.2019.105570</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wu</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Li</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wang</surname>
                            <given-names>W</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Associations of dietary vitamin B1, vitamin B2, niacin, vitamin B6, vitamin B12 and folate equivalent intakes with metabolic syndrome.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Food Sci. Nutr.</italic>
</source>
                    <year>2020</year>;<volume>71</volume>(<issue>6</issue>):<fpage>738</fpage>&#x2013;<lpage>749</lpage>.
                    <pub-id pub-id-type="pmid">31986943</pub-id>
                    <pub-id pub-id-type="doi">10.1080/09637486.2020.1719390</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Gunanti</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Marks</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Al-Mamun</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Low serum vitamin B-12 and folate concentrations and low thiamin and riboflavin intakes are inversely associated with greater adiposity in Mexican American children.</article-title>
                    <source>

                        <italic toggle="yes">J. Nutr.</italic>
</source>
                    <year>2014</year>;<volume>144</volume>(<issue>12</issue>):<fpage>2027</fpage>&#x2013;<lpage>2033</lpage>.
                    <pub-id pub-id-type="pmid">25411037</pub-id>
                    <pub-id pub-id-type="doi">10.3945/jn.114.201202</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Yanni</surname>
                            <given-names>AE</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kokkinos</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Psychogiou</surname>
                            <given-names>G</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Daily consumption of fruit-flavored yoghurt enriched with vitamins B contributes to lower energy intake and body weight reduction, in type 2 diabetic patients: a randomized clinical trial.</article-title>
                    <source>

                        <italic toggle="yes">Food Funct.</italic>
</source>
                    <year>2019</year>;<volume>10</volume>(<issue>11</issue>):<fpage>7435</fpage>&#x2013;<lpage>7443</lpage>.
                    <pub-id pub-id-type="pmid">31663569</pub-id>
                    <pub-id pub-id-type="doi">10.1039/C9FO01796H</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Barazzoni</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Silva</surname>
                            <given-names>V</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Singer</surname>
                            <given-names>P</given-names>
                        </name>
</person-group>:
                    <article-title>Clinical biomarkers in metabolic syndrome.</article-title>
                    <source>

                        <italic toggle="yes">Nutr. Clin. Pract.</italic>
</source>
                    <year>2014</year>;<volume>29</volume>(<issue>2</issue>):<fpage>215</fpage>&#x2013;<lpage>221</lpage>.
                    <pub-id pub-id-type="doi">10.1177/0884533613516168</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>McCracken</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Monaghan</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sreenivasan</surname>
                            <given-names>S</given-names>
                        </name>
</person-group>:
                    <article-title>Pathophysiology of the metabolic syndrome.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Dermatol.</italic>
</source>
                    <year>2018</year>;<volume>36</volume>(<issue>1</issue>):<fpage>14</fpage>&#x2013;<lpage>20</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.clindermatol.2017.09.004</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Odum</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Wakwe</surname>
                            <given-names>V</given-names>
                        </name>
</person-group>:
                    <article-title>Plasma concentrations of water-soluble vitamins in metabolic syndrome subjects.</article-title>
                    <source>

                        <italic toggle="yes">Niger. J. Clin. Pract.</italic>
</source>
                    <year>2012</year>;<volume>15</volume>:<fpage>442</fpage>&#x2013;<lpage>447</lpage>.
                    <pub-id pub-id-type="pmid">23238195</pub-id>
                    <pub-id pub-id-type="doi">10.4103/1119-3077.104522</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ullegaddi</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Powers</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Gariballa</surname>
                            <given-names>S</given-names>
                        </name>
</person-group>:
                    <article-title>B-group vitamin supplementation mitigates oxidative damage after acute ischaemic stroke.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Sci.</italic>
</source>
                    <year>2004</year>;<volume>107</volume>:<fpage>477</fpage>&#x2013;<lpage>484</lpage>.
                    <pub-id pub-id-type="pmid">15279619</pub-id>
                    <pub-id pub-id-type="doi">10.1042/CS20040134</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref12">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Folsom</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Desvarieux</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nieto</surname>
                            <given-names>F</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>B vitamin status and inflammatory markers.</article-title>
                    <source>

                        <italic toggle="yes">Atherosclorosis.</italic>
</source>
                    <year>2003</year>;<volume>169</volume>:<fpage>169</fpage>&#x2013;<lpage>174</lpage>.
                    <pub-id pub-id-type="doi">10.1016/S0021-9150(03)00161-8</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Huang</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zheng</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Qi</surname>
                            <given-names>Q</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>DNA Methylation Variants at HIF3A Locus, B-Vitamin Intake, and Long-term Weight Change: Gene-Diet Interactions in Two U.S. Cohorts.</article-title>
                    <source>

                        <italic toggle="yes">Diabetes.</italic>
</source>
                    <year>2015</year>;<volume>64</volume>(<issue>9</issue>):<fpage>3146</fpage>&#x2013;<lpage>3154</lpage>.
                    <pub-id pub-id-type="pmid">26001398</pub-id>
                    <pub-id pub-id-type="doi">10.2337/db15-0264</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4542450</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Dick</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nelson</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Tsaprouni</surname>
                            <given-names>L</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>DNA methylation and body-mass index: a genome-wide analysis.</article-title>
                    <source>

                        <italic toggle="yes">Lancet.</italic>
</source>
                    <year>2014</year>;<volume>383</volume>:<fpage>1990</fpage>&#x2013;<lpage>1998</lpage>.
                    <pub-id pub-id-type="doi">10.1016/S0140-6736(13)62674-4</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Eshak</surname>
                            <given-names>E</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Arafa</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>Thiamine deficiency and cardiovascular disorders.</article-title>
                    <source>

                        <italic toggle="yes">Nutr. Metab. Cardiovasc. Dis.</italic>
</source>
                    <year>2018</year>;<volume>28</volume>(<issue>10</issue>):<fpage>965</fpage>&#x2013;<lpage>972</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.numecd.2018.06.013</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Huang</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Li</surname>
                            <given-names>K</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ksimi</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Effect of vitamin B-12 and n-3 polyunsaturated fatty acids on plasma homocysteine, ferritin, C-reaction protein, and other cardiovascular risk factors: A randomized controlled trial.</article-title>
                    <source>

                        <italic toggle="yes">Asia Pac. J. Clin. Nutr.</italic>
</source>
                    <year>2015</year>;<volume>24</volume>:<fpage>403</fpage>&#x2013;<lpage>411</lpage>.
                    <pub-id pub-id-type="pmid">26420180</pub-id>
                    <pub-id pub-id-type="doi">10.6133/apjcn.2015.24.3.19</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Blacher</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Czernichow</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Paillard</surname>
                            <given-names>F</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Cardiovascular effects of B-vitamins and/or N-3 fatty acids: the SU. FOL. OM3 trial.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Cardiol.</italic>
</source>
                    <year>2013</year>;<volume>167</volume>(<issue>2</issue>):<fpage>508</fpage>&#x2013;<lpage>513</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.ijcard.2012.01.060</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <label>19</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Valko</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Rhodes</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Moncol</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Free radicals, metals and antioxidants in oxidative stress-induced cancer.</article-title>
                    <source>

                        <italic toggle="yes">Chem. Biol. Interact.</italic>
</source>
                    <year>2006</year>;<volume>160</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>40</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.cbi.2005.12.009</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Fiorito</surname>
                            <given-names>G</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Guarrera</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Valle</surname>
                            <given-names>C</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>B-vitamins intake, DNA-methylation of one carbon metabolism and homocysteine pathway genes and myocardial infarction risk: the EPICOR study.</article-title>
                    <source>

                        <italic toggle="yes">Nutr. Metab. Cardiovasc. Dis.</italic>
</source>
                    <year>2014</year>;<volume>24</volume>(<issue>5</issue>):<fpage>483</fpage>&#x2013;<lpage>488</lpage>.
                    <pub-id pub-id-type="pmid">24418380</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.numecd.2013.10.026</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref20">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Zhu</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Xun</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kolencik</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Do B Vitamins Enhance the Effect of Omega-3 Polyunsaturated Fatty Acids on Cardiovascular Diseases? A Systematic Review of Clinical Trials.</article-title>
                    <source>

                        <italic toggle="yes">Nutrients.</italic>
</source>
                    <year>2022</year>;<volume>14</volume>(<issue>8</issue>):<fpage>1608</fpage>.
                    <pub-id pub-id-type="pmid">35458173</pub-id>
                    <pub-id pub-id-type="doi">10.3390/nu14081608</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9032763</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wan</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Moat</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Anstey</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>Pellagra: a review with mphasis on hotosensitivity.</article-title>
                    <source>

                        <italic toggle="yes">Br. J. Dermatol.</italic>
</source>
                    <year>2011</year>;<volume>164</volume>(<issue>6</issue>):<fpage>1188</fpage>&#x2013;<lpage>1200</lpage>.
                    <pub-id pub-id-type="pmid">21128910</pub-id>
                    <pub-id pub-id-type="doi">10.1111/j.1365-2133.2010.10163.x</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref22">
                <label>23</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Villines</surname>
                            <given-names>TC</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kim</surname>
                            <given-names>AS</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Gore</surname>
                            <given-names>RS</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Niacin: The evidence, clinical use, and future directions.</article-title>
                    <source>

                        <italic toggle="yes">Curr. Atheroscler. Rep.</italic>
</source>
                    <year>2011</year>;<volume>14</volume>:<fpage>49</fpage>&#x2013;<lpage>59</lpage>.</mixed-citation>
            </ref>
            <ref id="ref23">
                <label>24</label>
                <mixed-citation publication-type="data">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Agraib</surname>
                            <given-names>LM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Al-Shami</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alkhatib</surname>
                            <given-names>B</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <data-title>The impact of energy releasing B-vitamins intake on obesity indices and coronary heart indices: a cross-sectional study (v1, consent form).</data-title>[Dataset].
                    <source>

                        <italic toggle="yes">Zenodo.</italic>
</source>
                    <year>2023</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.8167442</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <label>25</label>
                <mixed-citation publication-type="data">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Agraib</surname>
                            <given-names>LM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Al-Shami</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alkhatib</surname>
                            <given-names>B</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <data-title>The impact of energy releasing B-vitamins intake on obesity indices and coronary heart indices: a cross-sectional study (v1, Study Questionnaire).</data-title>[Dataset].
                    <source>

                        <italic toggle="yes">Zenodo.</italic>
</source>
                    <year>2023</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.8167423</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>26</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Gowda</surname>
                            <given-names>V</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Philip</surname>
                            <given-names>K</given-names>
                        </name>
</person-group>:
                    <article-title>Abdominal volume index and conicity index in predicting metabolic abnormalities in young women of different socioeconomic classes.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Med. Sci. Public Health.</italic>
</source>
                    <year>2016</year>;<volume>5</volume>(<issue>7</issue>):<fpage>1452</fpage>&#x2013;<lpage>1456</lpage>.
                    <pub-id pub-id-type="doi">10.5455/ijmsph.2016.13102015231</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref26">
                <label>27</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wang</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sun</surname>
                            <given-names>G</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Validity of cardiometabolic index, lipid accumulation product, and body adiposity index in predicting the risk of hypertension in Chinese population.</article-title>
                    <source>

                        <italic toggle="yes">Postgrad. Med.</italic>
</source>
                    <year>2018</year>;<volume>130</volume>(<issue>3</issue>):<fpage>325</fpage>&#x2013;<lpage>333</lpage>.
                    <pub-id pub-id-type="pmid">29478365</pub-id>
                    <pub-id pub-id-type="doi">10.1080/00325481.2018.1444901</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref27">
                <label>28</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Chang</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Guo</surname>
                            <given-names>X</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chen</surname>
                            <given-names>Y</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>A body shape index and body roundness index: Two new body indices to identify diabetes mellitus among rural populations in northeast China.</article-title>
                    <source>

                        <italic toggle="yes">BMC Public Health.</italic>
</source>
                    <year>2015</year>;<volume>15</volume>:<fpage>794</fpage>.
                    <pub-id pub-id-type="pmid">26286520</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s12889-015-2150-2</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4544789</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref28">
                <label>29</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Cai</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhou</surname>
                            <given-names>L</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhang</surname>
                            <given-names>Y</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Association of the Weight-Adjusted-Waist Index With Risk of All-Cause Mortality: A 10-Year Follow-Up Study.</article-title>
                    <source>

                        <italic toggle="yes">Front. Nutr.</italic>
</source>
                    <year>2022</year>;<volume>9</volume>.
                    <pub-id pub-id-type="pmid">35694172</pub-id>
                    <pub-id pub-id-type="doi">10.3389/fnut.2022.894686</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9174751</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref29">
                <label>30</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Wakabayashi</surname>
                            <given-names>I</given-names>
                        </name>
</person-group>:
                    <article-title>Associations of Smoking and Drinking with New Lipid-Related Indices in Women with Hyperglycemia.</article-title>
                    <source>

                        <italic toggle="yes">Women&#x2019;s Health Reports.</italic>
</source>
                    <year>2021</year>;<volume>2</volume>(<issue>1</issue>):<fpage>23</fpage>&#x2013;<lpage>31</lpage>.
                    <pub-id pub-id-type="pmid">33786527</pub-id>
                    <pub-id pub-id-type="doi">10.1089/whr.2020.0100</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7957949</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref30">
                <label>31</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Willett</surname>
                            <given-names>W</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Stampfer</surname>
                            <given-names>MJ</given-names>
                        </name>
</person-group>:
                    <article-title>Total energy intake: implications for epidemiologic analyses.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Epidemiol.</italic>
</source>
                    <year>1986</year>;<volume>124</volume>(<issue>1</issue>):<fpage>17</fpage>&#x2013;<lpage>27</lpage>.
                    <pub-id pub-id-type="doi">10.1093/oxfordjournals.aje.a114366</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref31">
                <label>32</label>
                <mixed-citation publication-type="data">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Agraib</surname>
                            <given-names>LM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Al-Shami</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Alkhatib</surname>
                            <given-names>B</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <data-title>The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study.</data-title>[Dataset].
                    <source>

                        <italic toggle="yes">Zenodo.</italic>
</source>
                    <year>2023</year>.
                    <pub-id pub-id-type="doi">10.5281/zenodo.8159117</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref32">
                <label>33</label>
                <mixed-citation publication-type="other">
                    <collab>WHO</collab>:
                    <article-title>besity and overweight 2020.</article-title>
                    <ext-link ext-link-type="uri" xlink:href="https://www.who.int/news-room/fact-sheets/detail/obesity-andoverweight">Reference Source</ext-link>
                </mixed-citation>
            </ref>
            <ref id="ref33">
                <label>34</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Agarwal</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Reider</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Brooks</surname>
                            <given-names>JR</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Comparison of prevalence of inadequate nutrient intake based on body weight status of adults in the United States: an analysis of NHANES 2001&#x2013;2008.</article-title>
                    <source>

                        <italic toggle="yes">J. Am. Coll. Nutr.</italic>
</source>
                    <year>2015</year>;<volume>34</volume>(<issue>2</issue>):<fpage>126</fpage>&#x2013;<lpage>134</lpage>.
                    <pub-id pub-id-type="pmid">25564766</pub-id>
                    <pub-id pub-id-type="doi">10.1080/07315724.2014.901196</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref46">
                <label>35</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Nix</surname>
                            <given-names>WA</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zirwes</surname>
                            <given-names>R</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Bangert</surname>
                            <given-names>V</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Vitamin B status in patients with type 2 diabetes mellitus with and without incipient nephropathy.</article-title>
                    <source>

                        <italic toggle="yes">Diabetes Res. Clin. Pract.</italic>
</source>
                    <year>2015</year>;<volume>107</volume>(<issue>1</issue>):<fpage>157</fpage>&#x2013;<lpage>165</lpage>.
                    <pub-id pub-id-type="pmid">25458341</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.diabres.2014.09.058</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref47">
                <label>36</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Stein</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Geisel</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Obeid</surname>
                            <given-names>R</given-names>
                        </name>
</person-group>:
                    <article-title>Association between neuropathy and B-vitamins: A systematic review and meta-analysis.</article-title>
                    <source>

                        <italic toggle="yes">Eur. J. Neurol.</italic>
</source>
                    <year>2021</year>;<volume>28</volume>(<issue>6</issue>):<fpage>2054</fpage>&#x2013;<lpage>2064</lpage>.
                    <pub-id pub-id-type="pmid">33619867</pub-id>
                    <pub-id pub-id-type="doi">10.1111/ene.14786</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref34">
                <label>37</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kerns</surname>
                            <given-names>JC</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Arundel</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chawla</surname>
                            <given-names>LS</given-names>
                        </name>
</person-group>:
                    <article-title>Thiamin deficiency in people with obesity.</article-title>
                    <source>

                        <italic toggle="yes">Adv. Nutr.</italic>
</source>
                    <year>2015</year>;<volume>6</volume>(<issue>2</issue>):<fpage>147</fpage>&#x2013;<lpage>153</lpage>.
                    <pub-id pub-id-type="pmid">25770253</pub-id>
                    <pub-id pub-id-type="doi">10.3945/an.114.007526</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4352173</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref35">
                <label>38</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Densupsoontorn</surname>
                            <given-names>N</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Srisawat</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chotipanang</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Prevalence of and factors associated with thiamin deficiency in obese Thai children.</article-title>
                    <source>

                        <italic toggle="yes">Asia Pac. J. Clin. Nutr.</italic>
</source>
                    <year>2019</year>;<volume>28</volume>(<issue>1</issue>):<fpage>116</fpage>&#x2013;<lpage>121</lpage>.
                    <pub-id pub-id-type="pmid">30896422</pub-id>
                    <pub-id pub-id-type="doi">10.6133/apjcn.201903_28(1).0016</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref36">
                <label>39</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Mazur-Bialy</surname>
                            <given-names>AI</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Poche&#x0107;</surname>
                            <given-names>E</given-names>
                        </name>
</person-group>:
                    <article-title>Vitamin B2 deficiency enhances the pro-inflammatory activity of adipocyte, consequences for insulin resistance and metabolic syndrome development.</article-title>
                    <source>

                        <italic toggle="yes">Life Sci.</italic>
</source>
                    <year>2017</year>;<volume>178</volume>:<fpage>9</fpage>&#x2013;<lpage>16</lpage>.
                    <pub-id pub-id-type="pmid">28414075</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.lfs.2017.04.010</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref37">
                <label>40</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Ibrahim</surname>
                            <given-names>GR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Shah</surname>
                            <given-names>I</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Gariballa</surname>
                            <given-names>S</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Significantly elevated levels of plasma nicotinamide, pyridoxal, and pyridoxamine phosphate levels in obese Emirati population: A cross-sectional study.</article-title>
                    <source>

                        <italic toggle="yes">Molecules.</italic>
</source>
                    <year>2020</year>;<volume>25</volume>(<issue>17</issue>):<fpage>3932</fpage>.
                    <pub-id pub-id-type="pmid">32872122</pub-id>
                    <pub-id pub-id-type="doi">10.3390/molecules25173932</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7504312</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref38">
                <label>41</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Furukawa</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Fujita</surname>
                            <given-names>T</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Shimabukuro</surname>
                            <given-names>M</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Increased oxidative stress in obesity and its impact on metabolic syndrome.</article-title>
                    <source>

                        <italic toggle="yes">J. Clin. Invest.</italic>
</source>
                    <year>2017</year>;<volume>114</volume>(<issue>12</issue>):<fpage>1752</fpage>&#x2013;<lpage>1761</lpage>.
                    <pub-id pub-id-type="pmid">15599400</pub-id>
                    <pub-id pub-id-type="doi">10.1172/JCI21625</pub-id>
                    <pub-id pub-id-type="pmcid">PMC535065</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref39">
                <label>42</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Liu</surname>
                            <given-names>Z</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Li</surname>
                            <given-names>P</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhao</surname>
                            <given-names>Z-H</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Vitamin b6 prevents endothelial dysfunction, insulin resistance, and hepatic lipid accumulation in apoe&#x2212;/&#x2212; mice fed with high-fat diet.</article-title>
                    <source>

                        <italic toggle="yes">J. Diabetes Res.</italic>
</source>
                    <year>2016</year>;<volume>2016</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>.
                    <pub-id pub-id-type="pmid">26881239</pub-id>
                    <pub-id pub-id-type="doi">10.1155/2016/1748065</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4735993</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref40">
                <label>43</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Shen</surname>
                            <given-names>J</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Lai</surname>
                            <given-names>C-Q</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Mattei</surname>
                            <given-names>J</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Association of vitamin B-6 status with inflammation, oxidative stress, and chronic inflammatory conditions: the Boston Puerto Rican Health Study.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Clin. Nutr.</italic>
</source>
                    <year>2010</year>;<volume>91</volume>(<issue>2</issue>):<fpage>337</fpage>&#x2013;<lpage>342</lpage>.
                    <pub-id pub-id-type="pmid">19955400</pub-id>
                    <pub-id pub-id-type="doi">10.3945/ajcn.2009.28571</pub-id>
                    <pub-id pub-id-type="pmcid">PMC2806890</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref41">
                <label>44</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Yanaka</surname>
                            <given-names>N</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Kanda</surname>
                            <given-names>M</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Toya</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Vitamin B6 regulates mRNA expression of peroxisome proliferator-activated receptor-&#x03b3; target genes.</article-title>
                    <source>

                        <italic toggle="yes">Exp. Ther. Med.</italic>
</source>
                    <year>2011</year>;<volume>2</volume>(<issue>3</issue>):<fpage>419</fpage>&#x2013;<lpage>424</lpage>.
                    <pub-id pub-id-type="pmid">22977520</pub-id>
                    <pub-id pub-id-type="doi">10.3892/etm.2011.238</pub-id>
                    <pub-id pub-id-type="pmcid">PMC3440721</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref42">
                <label>45</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Patrini</surname>
                            <given-names>C</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Griziotti</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Ricciardi</surname>
                            <given-names>L</given-names>
                        </name>
</person-group>:
                    <article-title>Obese individuals as thiamin storers.</article-title>
                    <source>

                        <italic toggle="yes">Int. J. Obes.</italic>
</source>
                    <year>2004</year>;<volume>28</volume>(<issue>7</issue>):<fpage>920</fpage>&#x2013;<lpage>924</lpage>.
                    <pub-id pub-id-type="pmid">15098017</pub-id>
                    <pub-id pub-id-type="doi">10.1038/sj.ijo.0802638</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref43">
                <label>46</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hino</surname>
                            <given-names>S</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sakamoto</surname>
                            <given-names>A</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Nagaoka</surname>
                            <given-names>K</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>FAD-dependent lysine-specific demethylase-1 regulates cellular energy expenditure.</article-title>
                    <source>

                        <italic toggle="yes">Nat. Commun.</italic>
</source>
                    <year>2012</year>;<volume>3</volume>(<issue>1</issue>):<fpage>1</fpage>&#x2013;<lpage>12</lpage>.</mixed-citation>
            </ref>
            <ref id="ref44">
                <label>47</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Jiang</surname>
                            <given-names>Y</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Zhang</surname>
                            <given-names>H</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sun</surname>
                            <given-names>T</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The comprehensive effects of hyperlipidemia and hyperhomocysteinemia on pathogenesis of atherosclerosis and DNA hypomethylation in ApoE&#x2212;/&#x2212; mice.</article-title>
                    <source>

                        <italic toggle="yes">Acta Biochim. Biophys. Sin.</italic>
</source>
                    <year>2012</year>;<volume>44</volume>(<issue>10</issue>):<fpage>866</fpage>&#x2013;<lpage>875</lpage>.
                    <pub-id pub-id-type="pmid">23017835</pub-id>
                    <pub-id pub-id-type="doi">10.1093/abbs/gms075</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report304462">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.162623.r304462</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Rahimlou</surname>
                        <given-names>Mehran</given-names>
                    </name>
                    <xref ref-type="aff" rid="r304462a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r304462a1">
                    <label>1</label>Nutrition, Zanjan University of Medical Sciences, Zanjan, Iran</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>1</day>
                <month>8</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Rahimlou M</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport304462" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.139672.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This study entitled: The impact of energy releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study is interesting. However, I have some comments. 
                <list list-type="order">
                    <list-item>
                        <p>In the introduction section, it would have been better for the researchers to point out why obese people with metabolic syndrome are at risk of deficiency of group B vitamins.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>B-vitamin deficiency may impact energy metabolism, and cause insulin resistance, chronic inflammation, obesity, and elevated oxidative stress, which may contribute to the pathophysiology of metabolic syndrome (add more references such as these articles to this sentence: Ghanavati M, et al., 2020 [Ref-1])</p>
                    </list-item>
                    <list-item>
                        <p>"Study design, participants, and ethical approval" It is better to explain information about the type of sampling in this section.</p>
                    </list-item>
                    <list-item>
                        <p>On the other hand, one of the drawbacks of this study is that all people were selected from a university group, and this significantly reduces the ability to generalize the results to the society, because in sampling based on an institution or organization, the factors There are many confounders that have low generalizability compared to population studies.</p>
                    </list-item>
                    <list-item>
                        <p>Researchers should also explain how to calculate the sample size.</p>
                    </list-item>
                    <list-item>
                        <p>"Data collection" what is your approach about subjects who consumed nutritional supplements like multi vitamins or subjects who adherent from restrictive diets such as weight loss diets.</p>
                    </list-item>
                    <list-item>
                        <p>"The first 24 hours of dietary intake were recorded during these interviews" It would have been better if three days dietary recall (including two working days and one off day) were collected.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Nutrition and diet</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-304462-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Pistachios and cardiometabolic risk factors: A systematic review and meta-analysis of randomized controlled clinical trials.</article-title>
                        <source>
                            <italic>Complement Ther Med</italic>
                        </source>.<year>2020</year>;<volume>52</volume>:
                        <elocation-id>10.1016/j.ctim.2020.102513</elocation-id>
                        <fpage>102513</fpage>
                        <pub-id pub-id-type="pmid">32951758</pub-id>
                        <pub-id pub-id-type="doi">10.1016/j.ctim.2020.102513</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
        <sub-article article-type="response" id="comment12119-304462">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Alkhatib</surname>
                            <given-names>Buthaina </given-names>
                        </name>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>1</day>
                    <month>8</month>
                    <year>2024</year>
                </pub-date>
            </front-stub>
            <body>
                <p>This study entitled: The impact of energy-releasing B-vitamin intake on indices of obesity and cardiac function: a cross-sectional study is interesting. However, I have some comments.</p>
                <p> 1. In the introduction section, it would have been better for the researchers to point out why obese people with metabolic syndrome are at risk of deficiency of group B vitamins.&#x00a0;</p>
                <p> Response: The core of the study hypothesis was to study the effect of a lower dietary intake of B vitamins, which leads to obesity and metabolic syndrome, rather than approving that obese and metabolic syndrome people are at risk of B vitamin deficiency.</p>
                <p> </p>
                <p> 2. B-vitamin deficiency may impact energy metabolism, and cause insulin resistance, chronic inflammation, obesity, and elevated oxidative stress, which may contribute to the pathophysiology of metabolic syndrome (add more references such as these articles to this sentence: Ghanavati M, et al., 2020 [Ref-1])</p>
                <p> Response: Done, Thank you.</p>
                <p> </p>
                <p> 3. "Study design, participants, and ethical approval" It is better to explain information about the type of sampling in this section.</p>
                <p> Response: A random sample.</p>
                <p> </p>
                <p> 4. On the other hand, one of the drawbacks of this study is that all people were selected from a university group, and this significantly reduces the ability to generalise the results to the society, because in sampling based on an institution or organisation, the factors There are many confounders that have low generalisability compared to population studies.</p>
                <p> Response: It has been added to the study limitations.&#x00a0;</p>
                <p> </p>
                <p> 5. &#x00a0;Researchers should also explain how to calculate the sample size.</p>
                <p> Response: Done (The Raosoft calculator (online) was used to calculate the sample size based on the Department of Statistics in 2020. Adults represented 52.2% (5,621,970) of Jordan's population (10,806,000). With a 5% error margin, 95% CI, and 50% response distribution, the minimum sample size was 385 participants.)</p>
                <p> </p>
                <p> 6. "Data collection:" What is your approach to subjects who consumed nutritional supplements like multivitamins or subjects who adhered to restrictive diets such as weight loss diets?</p>
                <p> Response: Yes, we asked about medications, dietary supplements intake, food allergies, and adhesion to a weight reduction diet, and they were excluded (We added sentence about this)</p>
                <p> </p>
                <p> 7. "The first 24 hours of dietary intake were recorded during these interviews." It would have been better if three days of dietary recall (including two working days and one off day) were collected.</p>
                <p> Response: Thank you, there many references whom used 2 days 24 hour recalls for the big samples, rather than using 3 days (sure it is better)</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report249706">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.162623.r249706</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Szczuko</surname>
                        <given-names>Ma&#x0142;gorzata</given-names>
                    </name>
                    <xref ref-type="aff" rid="r249706a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9808-0624</uri>
                </contrib>
                <aff id="r249706a1">
                    <label>1</label>Department of Biochemistry and Human Nutrition, Pomeranian Medical University, Szczecin, Poland</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>26</day>
                <month>2</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Szczuko M</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport249706" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.139672.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Position 24 and 25 in the references are identical.</p>
            <p> I have no further comments.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>nutrition, metabolic syndrom, vitamin B</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report239615">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.152969.r239615</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Szczuko</surname>
                        <given-names>Ma&#x0142;gorzata</given-names>
                    </name>
                    <xref ref-type="aff" rid="r239615a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9808-0624</uri>
                </contrib>
                <aff id="r239615a1">
                    <label>1</label>Department of Biochemistry and Human Nutrition, Pomeranian Medical University, Szczecin, Poland</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>12</day>
                <month>2</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Szczuko M</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport239615" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.139672.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>1. The article is clearly written and easy to read. Although it seems that at the same time it does not exhaust the topic in some respects</p>
            <p> </p>
            <p> 2. A major advantage of the study is the number of patients examined and the well-described statistics of the results</p>
            <p> </p>
            <p> 3. the summary lacks a specific summary and conclusion</p>
            <p> </p>
            <p> 4. in the introduction, please also include women with PCOS, in the course of which insulin resistance, metabolic syndrome and obesity develop</p>
            <p> ref [1]</p>
            <p> 5. the age of the examined patients is missing in table 1</p>
            <p> </p>
            <p> 6. the following issues should be discussed in the discussion:</p>
            <p> - increased demand for B vitamins in people with obesity and diabetes re [2].</p>
            <p> - peripheral neuropathy ref [3]</p>
            <p> - effects of supplementation and over supplementation of B vitamins</p>
            <p> ref [4]</p>
            <p> </p>
            <p> 7. It is recommended to use the provided literature to improve and improve the article.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>nutrition, metabolic syndrom, vitamin B</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-239615-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>The implications of vitamin content in the plasma in reference to the parameters of carbohydrate metabolism and hormone and lipid profiles in PCOS.</article-title>
                        <source>
                            <italic>J Steroid Biochem Mol Biol</italic>
                        </source>.<year>2020</year>;<volume>198</volume>:
                        <elocation-id>10.1016/j.jsbmb.2019.105570</elocation-id>
                        <fpage>105570</fpage>
                        <pub-id pub-id-type="pmid">31883924</pub-id>
                        <pub-id pub-id-type="doi">10.1016/j.jsbmb.2019.105570</pub-id>
                    </mixed-citation>
                </ref>
                <ref id="rep-ref-239615-2">
                    <label>2</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Vitamin B status in patients with type 2 diabetes mellitus with and without incipient nephropathy.</article-title>
                        <source>
                            <italic>Diabetes Res Clin Pract</italic>
                        </source>.<year>2015</year>;<volume>107</volume>(<issue>1</issue>) :
                        <elocation-id>10.1016/j.diabres.2014.09.058</elocation-id>
                        <fpage>157</fpage>-<lpage>65</lpage>
                        <pub-id pub-id-type="pmid">25458341</pub-id>
                        <pub-id pub-id-type="doi">10.1016/j.diabres.2014.09.058</pub-id>
                    </mixed-citation>
                </ref>
                <ref id="rep-ref-239615-3">
                    <label>3</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Association between neuropathy and B-vitamins: A systematic review and meta-analysis.</article-title>
                        <source>
                            <italic>Eur J Neurol</italic>
                        </source>.<year>2021</year>;<volume>28</volume>(<issue>6</issue>) :
                        <elocation-id>10.1111/ene.14786</elocation-id>
                        <fpage>2054</fpage>-<lpage>2064</lpage>
                        <pub-id pub-id-type="pmid">33619867</pub-id>
                        <pub-id pub-id-type="doi">10.1111/ene.14786</pub-id>
                    </mixed-citation>
                </ref>
                <ref id="rep-ref-239615-4">
                    <label>4</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Micronutrient Supplementation to Reduce Cardiovascular Risk.</article-title>
                        <source>
                            <italic>J Am Coll Cardiol</italic>
                        </source>.<year>2022</year>;<volume>80</volume>(<issue>24</issue>) :
                        <elocation-id>10.1016/j.jacc.2022.09.048</elocation-id>
                        <fpage>2269</fpage>-<lpage>2285</lpage>
                        <pub-id pub-id-type="pmid">36480969</pub-id>
                        <pub-id pub-id-type="doi">10.1016/j.jacc.2022.09.048</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
        <sub-article article-type="response" id="comment11052-239615">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Alkhatib</surname>
                            <given-names>Buthaina </given-names>
                        </name>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>no competing interest</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>12</day>
                    <month>2</month>
                    <year>2024</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <list list-type="order">
                        <list-item>
                            <p>The article is clearly written and easy to read. Although it seems that at the same time it does not exhaust the topic in some respects</p>
                        </list-item>
                        <list-item>
                            <p> 
                                <bold>Response: Thank you</bold>
                            </p>
                            <p> </p>
                            <p> 2. A major advantage of the study is the number of patients examined and the well-described statistics of the results</p>
                            <p> 
                                <bold>Response: thank you</bold>
                            </p>
                            <p> </p>
                            <p> 3. the summary lacks a specific summary and conclusion</p>
                            <p> 
                                <bold>Response: it has been revised (conclusion: Increasing the consumption of B1, B2, and B6 may significantly lower values of indices of obesity and cardiac function regardless of sex differences. Thus reducing the occurrence of obesity and related coronary heart diseases</bold>
                            </p>
                            <p> </p>
                            <p> 4. in the introduction, please also include women with PCOS, in the course of which insulin resistance, metabolic syndrome and obesity develop</p>
                            <p> ref [1]</p>
                            <p> 
                                <bold>Response: it has been added </bold>
                            </p>
                            <p> </p>
                            <p> 5. the age of the examined patients is missing in table 1</p>
                            <p> 
                                <bold>Response: the table was prepared regarding the age group, as shown in raw 1)</bold>
                            </p>
                            <p> </p>
                            <p> 6. the following issues should be discussed in the discussion:</p>
                            <p> - increased demand for B vitamins in people with obesity and diabetes re [2].</p>
                            <p> - peripheral neuropathy ref [3]</p>
                            <p> - effects of supplementation and over-supplementation of B vitamins</p>
                            <p> ref [4]</p>
                            <p> 
                                <bold>Response: it has been provided (references 35, 36). But reference no 4 is not within the scope of discussion. </bold>
                            </p>
                            <p> </p>
                            <p> 7. It is recommended to use the provided literature to improve and improve the article.</p>
                            <p> 
                                <bold>Response: many thanks for your suggestions, it has been provided </bold>
                            </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Is the work clearly and accurately presented and does it cite the current literature?</bold>
                            </p>
                        </list-item>
                        <list-item>
                            <p>Yes</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Is the study design appropriate and is the work technically sound?</bold>
                            </p>
                        </list-item>
                        <list-item>
                            <p>Yes</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Are sufficient details of methods and analysis provided to allow replication by others?</bold>
                            </p>
                        </list-item>
                        <list-item>
                            <p>Yes</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>If applicable, is the statistical analysis and its interpretation appropriate?</bold>
                            </p>
                        </list-item>
                        <list-item>
                            <p>Yes</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Are all the source data underlying the results available to ensure full reproducibility?</bold>
                            </p>
                        </list-item>
                        <list-item>
                            <p>Yes</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Are the conclusions drawn adequately supported by the results?</bold>
                            </p>
                        </list-item>
                        <list-item>
                            <p>Yes</p>
                        </list-item>
                    </list>
                </p>
            </body>
        </sub-article>
    </sub-article>
</article>
