<?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.150600.1</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>Prevalence, Characteristics and Risk Factors Analysis of Prediabetes: A Cross-Sectional Study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Amelia</surname>
                        <given-names>Rina</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</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/0000-0002-0419-9622</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Harahap</surname>
                        <given-names>Juliandi</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</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/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-1090-2003</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Wijaya</surname>
                        <given-names>Hendri</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</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/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</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/0000-0002-7309-8227</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Pase</surname>
                        <given-names>M. Aron</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Formal Analysis</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/">Project Administration</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/">Validation</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Suryani Widjaja</surname>
                        <given-names>Sry</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/">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/0000-0001-9738-9339</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Saktioto</surname>
                        <given-names>Saktioto</given-names>
                    </name>
                    <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/0000-0001-9200-8998</uri>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Department of Community Medicine, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia</aff>
                <aff id="a2">
                    <label>2</label>Department of Pediatrics, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia</aff>
                <aff id="a3">
                    <label>3</label>Department of Internal Medicine, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia</aff>
                <aff id="a4">
                    <label>4</label>Department of Biochemistry, Universitas Sumatera Utara, Medan, North Sumatra, 20155, Indonesia</aff>
                <aff id="a5">
                    <label>5</label>Physics Department, Math and Natural Sciences, Universitas Riau, Pekanbaru, Riau, 28293, Indonesia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:rina2@usu.ac.id">rina2@usu.ac.id</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>29</day>
                <month>7</month>
                <year>2024</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>843</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>15</day>
                    <month>7</month>
                    <year>2024</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Amelia R 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/13-843/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Prediabetes, a reversible condition before the onset of diabetes, is a significant concern in healthcare globally. The global prediabetes epidemic has emerged and has considerably impacted health expenditures. Various risk factors play important roles in the progression of prediabetes to diabetes. Intensive lifestyle and pharmacological interventions can significantly reduce the risk of diabetes progression.</p>
                </sec>
                <sec>
                    <title>Objective</title>
                    <p>This study aimed to determine the prevalence, characteristics, and risk factors of prediabetes state of Medan in August 2023.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>The sample consisted of 89 participants. This was an analytical cross-sectional study in the community that met the inclusion and exclusion criteria. The determination of prediabetes is based on the results of blood tests, namely, the examination of fasting blood sugar levels (FBGL), 2-hour postprandial oral glucose tolerance test (OGTT), and hemoglobin A1c (HbA1C). Other examinations included lipid profiling (total cholesterol, HDL-C, LDL-C, and triglycerides). Data processing was performed using SPSS via univariate and bivariate analyses (chi-square test).</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>Of the 89 participants, the prevalence of prediabetes based on HbA1c, FBGL and 2-hours OGTT levels was 28.1%, 50.6%, and 28.1%, respectively. 82% of the participants were female, and 53.9% were overweight or obese based on body mass index (BMI). The risk factors related to the prevalence of prediabetes were HbA1c level, impaired FBGL, and impaired 2-hours OGTT. Other risk factors such as age, sex, daily exercise, diet, BMI, waist-hip ratio, acanthosis nigricans, lipid profile, and blood pressure did not correlate significantly with the risk factors (
                        <italic toggle="yes">p</italic>&gt;0.05).</p>
                </sec>
                <sec>
                    <title>Conclusion</title>
                    <p>This study found that the prevalence of prediabetes was 67.4% in Medan, 82% of the participants were female, and more than 50% of participants were overweight or obese. HbA1c, FBGL, and 2-hour postprandial OGTT were the most important risk factors for prediabetes.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>macrovascular complication</kwd>
                <kwd>HbA1c</kwd>
                <kwd>diabetes type 2</kwd>
                <kwd>Prediabetes</kwd>
                <kwd>Risk Factors</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source> Directorate of Research, Technology and Community Service (DRTPM) Directorate General of Higher Education, Research and Technology (Ditjen Diktiristek) Ministry of Education, Culture, Research and Technology Indonesia, and TALENTA Universitas Sumatera Utara,  Medan .Indonesia</funding-source>
                </award-group>
                <funding-statement>This research was funded by the Directorate of Research, Technology and Community Service (DRTPM) Directorate General of Higher Education, Research and Technology (Ditjen Diktiristek) Ministry of Education, Culture, Research and Technology Indonesia, and TALENTA Universitas Sumatera Utara,  Medan .Indonesia</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec6" sec-type="intro">
            <title>Introduction</title>
            <p>Diabetes is a group of metabolic diseases and a serious, long-term (chronic) condition which characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or both.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Based on the 10th edition of the International Diabetic Federation (IDF) Atlas, the prevalence of diabetes is estimated to be 537 million adults aged 20&#x2013;79 years worldwide (10.5%). This includes both type 1 and type 2 diabetes as well as diagnosed and undiagnosed diabetes. The adult population with diabetes aged between 20-79 years is estimated to be 19,465,100 in Indonesia. Instead, the prevalence of diabetes among the ages&#x2013;20-79 years is 10.6% (of the total adult population aged 20-79 years is 179,720,500). In other words, one in nine people in Indonesia had diabetes.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> T2DM is one of the most important causes of morbidity and mortality worldwide.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
            </p>
            <p>Prediabetes is a condition that results in high BGL and often leads to T2DM.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> People with prediabetes have high BGL (are below the amount needed to be diagnosed with diabetes, but they are at a higher risk of getting diabetes.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup> According to the World Health Organization (WHO), prediabetes is an intermediate level of high blood sugar. They use two specific tests to define it: impaired FBGL, which means BGL of 6.1 to 6.9 mmol/L (110&#x2013;125 mg/dL) before a meal, or impaired OGTT, which mean OGTT of 7.8 to 11.0 mmol/L (140&#x2013;199 mg/dL) two hours after eating 75 g of oral glucose.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup>
            </p>
            <p>According to the American Diabetes Association (ADA), the criterion for identifying impaired FBGL between 5.6 and 6.9 mmol/L (100-125 mg/dL), impaired OGTT between 7.8 and 11.0 mmol/L (140-199 mg/dL), and HbA1c levels between 5.7% and 6.4% (39-47 mmol/mol).
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Both definitions rely on FBGL measurements, 2-hour plasma glucose concentrations during an OGTT, and HbA1c concentrations.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> In Indonesia, the diagnostic criteria for prediabetes align with those established by the ADA.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> The significance of Impaired FBGL and impaired 2-hour postprandial OGTT is threefold: they signal an elevated chance of developing T2DM in the future, indicative of an existing heightened risk of cardiovascular disease (CVD), and identifying therapies that can prevent the onset of T2DM.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>Individuals with Impaired FBGL and impaired OGTT are at a high risk of developing T2DM, with up to 50% within five years.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Untreated T2DM for a prolonged time can lead to complications such as retinopathy, neuropathy, CVD, or stroke.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> These chronic implications contribute to diabetes distress and health expenditures.
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Diabetes distress is a hidden emotional burden in DM.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup> Healthcare expenditure for people with diabetes is expected to reach 1,054 billion USD by 2045.
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> The cost of managing individuals with T2DM and complications is two times higher than that for individuals without complications.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup>
            </p>
            <p>Risk factors for prediabetes include BMI, waist circumference, ethnicity, family history, and sex.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> Other risk factors include hypertension, low levels of HDL cholesterol, smoking, and low levels of education and income.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> According to the RISKESDAS (National Basic Health Research) Indonesia, the increase in diabetes data is in line with the rise in obesity rates, a risk factor for diabetes, from 14.8% to 21.8% in 2013-2018. In addition, it is also in line with the increase in BMI from 11.5% to 13.6% and central obesity from 26.6% to 31%.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup> Intensive lifestyle and pharmacological intervention can significantly reduce the risk of progression to diabetes in patients with impaired FBGL or Iimpaired OGTT.
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup>
            </p>
            <p>This study aimed to investigate the prevalence, characteristics, and risk factors for prediabetes in Medan, Indonesia.</p>
        </sec>
        <sec id="sec7" sec-type="methods">
            <title>Methods</title>
            <sec id="sec8">
                <title>Study design and selection criteria</title>
                <p>A cross-sectional study of a community that fulfilled the eligibility criteria was conducted in Medan, Indonesia. The participants were people who were at least 18 years old. Participants who had been diagnosed with diabetes or were pregnant were excluded criteria. A day before the study, all participants were reminded to fast for 8 hours and were only allowed to drink plain water before we assessed their FBGL. The minimum number of participants was determined using the Slovin formula. This formula allows calculation of the minimum sample size based on an acceptable margin of error.
                    <sup>
                        <xref ref-type="bibr" rid="ref27">27</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec9">
                <title>Data collection</title>
                <p>Data were collected in August 2023 in Medan, Indonesia. Participation in this study is voluntary; participants are not obligated to participate. Earlier, the researcher provided an explanation regarding the ongoing research and their active participation in it. Subsequently, patients who gave their consent would sign the informed consent form. Participants then provided their background information, physical activity, consumption of vegetables or fruits, and history of high blood glucose (during pregnancy or medical checkups). Physical activity is defined as physical activity during work or leisure time (including daily activities) for at least 30 min. We also obtained information about a nigricans to identify additional risk factors for prediabetes. The study instrument was filled in by the participants themselves, followed by the measurement of their height, weight, waist circumference, hip circumference, systolic and diastolic blood pressure (SBP and DBP), lipid profile, FBGL, HbA1c, and 2-hour postprandial OGTT levels.</p>
            </sec>
            <sec id="sec10">
                <title>Ethical statement</title>
                <p>The research design was approved by the Ethics Committee of the Faculty of Medicine, Universitas Sumatera Utara. The approval number is 896/KEPK/USU/2023 (Approval date: 21 August 2023). Patient participation is voluntary; patients have no compulsion to participate in this research. Previously, the researcher explained the research protocol that would be carried out. If the patient agreed, they signed informed consent.</p>
            </sec>
            <sec id="sec11">
                <title>Data measurement</title>
                <p>Body Height, body weight, waist circumference, and hip circumference were measured by trained research assistants. While weighing, we asked participants to take off their footwear and only wear loose clothing. Waist circumference and hip circumference were measured using a non-stretchable tape. Patients were defined as centrally obese if they had a waist circumference of &gt;90 cm in men and &gt;80 cm in women. The blood pressure was measured using a digital blood pressure monitor (Omron&#x2122;). FBGL, HbA1c, and 2-hour postprandial OGTT levels were measured using venous blood. The process of collecting blood was conducted in two distinct phases. The initial phase was conducted following an 8-hour fasting period by the patient, the examination included measuring the patient&#x2019;s FBGL, HbA1C, and lipid profile. Subsequently, the patient was administered 75 grams of glucose (sugar dissolved in water) for the OGTT assessment, and the 2 hours post-prandial was monitored. The lipid profile was checked using the enzymatic colorimetric method (Thermo Scientific&#x2122; Indiko&#x2122; Plus Clinical Chemistry Analyzer).
                    <sup>
                        <xref ref-type="bibr" rid="ref28">28</xref>
                    </sup> The hexokinase method (NIPRO Premier S Blood Glucose Monitoring System GM01IAA) was used to find the FBGL and 2-hour post-meal OGTT levels.
                    <sup>
                        <xref ref-type="bibr" rid="ref29">29</xref>
                    </sup> High-performance liquid chromatography (HPLC) was used to determine HbA1c levels (BIORAD D-10 Hemoglobin Testing System).
                    <sup>
                        <xref ref-type="bibr" rid="ref30">30</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec12">
                <title>Statistical analysis</title>
                <p>We conducted univariate analysis to determine the prevalence and demographic characteristics. Bivariate analysis was used to analyze the risk factors for prediabetes in Medan, Indonesia, using the Chi Square Test (p&lt;0.05). Statistical analyses were performed using the 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ibm.com/support/pages/ibm-spss-statistics-29011-fix-list">Statistical Package for the Social Sciences (SPSS Inc.)</ext-link>.</p>
            </sec>
        </sec>
        <sec id="sec13" sec-type="results">
            <title>Results</title>
            <sec id="sec14">
                <title>Characteristics of patients</title>
                <p>
                    <xref ref-type="table" rid="T1">Table 1</xref> shows that the majority of the 89 participants were housewives (69.7%) and women (82%). 40.4 Of the participants, 40.4% had a high school education, 31.5% were age range&#x2013;45-54 years old, 56.2% were never engaged in physical activity, and 51.7% consumed vegetables/fruits.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Frequency distribution based on demographic characteristics.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Characteristics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency (n = 89)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">Gender</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Men</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Women</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">73</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">82</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">Age (years)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;45-54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;55-64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&gt;64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">Education</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Elementary School</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Junior High School</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Senior High School</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">36</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Diploma</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Bachelor</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12.4</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Doctoral degree</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">Employment</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Housewife</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">62</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">69.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Student</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Entrepreneur</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Civil servants</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Private employee</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.5</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Physical activity</td>
                                <td colspan="1" rowspan="1"/>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Never</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43.8</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;More than 30 min</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Consuming vegetables/fruits</td>
                                <td colspan="2" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Everyday</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Not everyday</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">43</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48.3</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note. n; sample size.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>A total of 25 people had prediabetes based on HbA1c measurement, 45 had prediabetes based on FBGL measurement, and 25 had prediabetes based on 2-hour postprandial OGTT levels measurement. The prevalence of prediabetes based on HbA1c, FBG, and 2-hour postprandial OGTT was 28.1%, 50.6%, and 28.1%, respectively (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>Prevalence of prediabetes based on HbA1c, FBGL and 2-h postprandial OGTT examination.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Measurement</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency (n= 89)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">HbA1c Levels</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Normal</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">56.2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Prediabetes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Diabetes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">Fasting Blood Glucose Levels</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Normal</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Prediabetes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">50.6</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Diabetes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.7</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">2 Hours Postprandial OGTT Levels</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Normal</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">55.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Prediabetes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Diabetes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.9</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note. n; sample size, OGTT; oral glucose tolerance test.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>
                    <xref ref-type="table" rid="T3">Table 3</xref> shows the waist-hip circumference ratio: 66 participants (74.2%) were obese. Based on the blood pressure examination, the median systolic and diastolic blood pressures were 142 and 86 mmHg, respectively. Based on laboratory results, the median serum total cholesterol, HDL, triglycerides levels were 206 mg/dL, 53 mg/dL, 125 mg/dL respectively.</p>
                <table-wrap id="T3" orientation="portrait" position="float">
                    <label>Table 3. </label>
                    <caption>
                        <title>The result of physical examination and laboratory.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Characteristics</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Mean</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Median</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">95% 
                                    <italic toggle="yes">Confidence Interval (CI)</italic>
                                </th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Minimum-Maximum</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">BMI</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.61 kg/m
                                    <sup>2</sup>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26.14 kg/m
                                    <sup>2</sup>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.53-27.68</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.23-41.87 (kg/m
                                    <sup>2</sup>)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Waist-hip ratio</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.74</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.00</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.65-1.83</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1-2</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Systolic Blood Pressure</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">141.03 mmHg</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">142 mmHg</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">136.42-145.65</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">100-204 (mmHg)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Diastolic Blood Pressure</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">87.12 mmHg</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">86 mmHg</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">84.60-89.64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">66-131 (mmHg)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Total Cholesterol</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">209.66 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">206 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">198.76-220.57</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">127-471 (mg/dL)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HDL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">54.48 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.70-57.27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27-89 (mg/dL)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">LDL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">124.87 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">122 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">116.53-133.20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30-238 (mg/dL)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Triglycerides</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">142.87 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">126 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">123.87-161.86</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51-738 (mg/dL)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Fasting blood glucose</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">116.64 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">106 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">108.24-125.04</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">77-311 (mg/dL)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2-hours postprandial OGTT</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">157.70 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">136 mg/dL</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">143.44-172.03</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">75-521 (mg/dL)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">HbA1c</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">6.08%</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.60%</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.72-6.45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">4.5-13%</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note. VEGF, vascular endothelial growth factor; IGF-1; Insulin-like growth factor-1; BMI, body mass index; HDL, high-density lipoprotein; LDL, low-density lipoprotein; OGTT, oral glucose tolerance test.</p>
                    </table-wrap-foot>
                </table-wrap>
                <p>As shown in 
                    <xref ref-type="table" rid="T4">Table 4</xref>, the risk factors for prediabetes were significantly correlated if the p-value was &lt;0.05. According to the chi-square analysis, there was no significant relationship between risk factors, such as age, sex, daily exercise, consumption of vegetables/fruits, BMI, HDL, LDL, triglyceride, total cholesterol, acanthosis nigricans, and systolic and diastolic blood pressure in prediabetes patients. Meanwhile, risk factors, including HbA1c, FBGL, and 2-hours postprandial OGTT, have a significant relationship with prediabetes.</p>
                <table-wrap id="T4" orientation="portrait" position="float">
                    <label>Table 4. </label>
                    <caption>
                        <title>Analysis risk factors of prediabetes.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top">Risk factors</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Prediabetes</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">Non-prediabetes</th>
                                <th align="left" colspan="1" rowspan="2" valign="top">
                                    <italic toggle="yes">p</italic>-value</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency (n)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage (%)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Frequency (n)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Percentage (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Age (years)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.401</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;45</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;45-54</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;55-64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">18</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">5.6</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&gt;64</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.4</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Gender</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.313</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Male</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">3.4</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Female</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">47</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">52.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">26</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29.2</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Daily Exercise</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.925</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Never</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">30.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;More than 30 min</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">33</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Consuming vegetables/fruits</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.494</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Everyday</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">29</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">32.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Not everyday</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Body Mass Index</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.865</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Normoweight</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">7.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Obesity</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">48</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">53.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">High Density Lipoprotein (mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.00</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">40</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.3</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">11.2</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Low Density Lipoprotein (mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.603</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;100</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;100</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Trygliceride (mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.198</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;150</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">21.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Total Cholesterol (mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.508</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;200</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">23</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25.8</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;200</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">37</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">41.6</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">2-h Postprandial OGTT (mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.05
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;140</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">34</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;140-199</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">27</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;200</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">2.2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.6</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">HbA1c (%)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.05
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;5.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.9</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;5.7-6.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;6.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.7</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Fasting Blood Glucose (mg/dL)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">&lt;0.05
                                    <xref ref-type="table-fn" rid="tfn1">*</xref>
                                </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;100</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">16.9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.526</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;100-125</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">44</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">49.4</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;126</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14.6</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Systolic Blood Pressure (mmHg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.202</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;140</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">25</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">17</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">19.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.137</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;140</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">35</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">39.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">12</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">13.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Diastolic Blood Pressure (mmHg)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.775</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&lt;90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">38</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">42.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.245</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;&#x2265;90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">24.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Achantosis Nigricans</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.548</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Yes</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">1.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;No</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">59</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">66.3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">28</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">31.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="5" rowspan="1" valign="top">Waist-hip Ratio</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">0.603</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Normal</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">14</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">15.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">9</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">10.1</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">&#x2003;Obesity</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">46</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">51.7</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">20</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">22.5</td>
                                <td colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>Note. N, sample size; p, probability less than 0.05; OGTT, oral glucose tolerance test.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>*</label>
                                <p>Statistical significance (p&lt;0.05).</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
            </sec>
        </sec>
        <sec id="sec15" sec-type="discussion">
            <title>Discussion</title>
            <p>Our study demonstrated that the prevalence of individuals with prediabetes in Medan, Indonesia, using HbA1c, FBGL, and 2-hours postprandial OGTT were 28.1%, 50.6%, and 28.1%, respectively. The prevalence of prediabetes based on FBGL examinations in 33 provinces in Indonesia was 10%.
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> In this study, the prevalence of prediabetes using FBGL was one-fifth of that in the previous study. Another study found that the prevalence of prediabetes in Pontianak with an FBGL &gt; 100 mg/dL was 76.5%. A significant increase in the prevalence of prediabetes has also been reported in the US, Europe, North America, the Caribbean, Africa, West Iran, and Malaysia.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref34">33</xref>
                </sup> The global prevalence of prediabetes using FBGL and 2-hours postprandial OGTT is estimated to increase to 6.5% and 10%, respectively, in 2045.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>In this study, we found that most patients with prediabetes were 55-64 years old. Similar to the study by Andriani et al., the majority of prediabetic patients were &gt; 50 years old. However, in this study, age was not significantly correlated with the incidence of prediabetes. A previous study found a significant relationship between age and incidence of prediabetes (
                <italic toggle="yes">p</italic>=0.029).
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Numerous additional factors that may impact the etiology of prediabetes are also associated with advanced age. Peripheral insulin resistance is increasing in tandem with these processes. with a poor diet, little exercise, or obesity. Hyperglycemia results if this process occurs in people who are at risk of developing prediabetes. The degree of environmental exposure and lifestyle choices have a significant impact on the rate and timing of development.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup>
            </p>
            <p>The frequency of physical inactivity in the subjects diagnosed with prediabetes in this study was 37.1% (
                <italic toggle="yes">p</italic>= 0.925). This contradicts the claim that a sedentary lifestyle influences the development of prediabetes and diabetes. Exercise helps to avoid obesity and increases insulin sensitivity. Compared to people who exercise, those who do not exercise may be more susceptible to developing prediabetes and diabetes.
                <sup>
                    <xref ref-type="bibr" rid="ref35">34</xref>
                </sup> Our study showed that there was no correlation between physical activity, diet, hyperlipidemia, and prediabetes. This study is in accordance with previous studies that stated that physical activity, diet, and hypercholesterolemia had no relationship with the incidence of prediabetes. Although physical activity is known to be protective against the onset of type 2 diabetes,
                <sup>
                    <xref ref-type="bibr" rid="ref36">35</xref>
                </sup> Redondo et al.
                <sup>
                    <xref ref-type="bibr" rid="ref37">36</xref>
                </sup> did not find a correlation between prediabetes and noncompliance with the WHO physical activity guidelines. Similar results have been obtained in other investigations.</p>
            <p>In this study, we found that most patients with prediabetes were female, overweight, or obese. This study is consistent with research conducted in Pontianak, showing that female and overweight or obesity are more prevalent among people with prediabetes.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> However, in this study, we found that sex and BMI were not significantly correlated with the incidence of prediabetes.</p>
            <p>Another study showed that sex and BMI were associated with prediabetes. Premenopausal women with prediabetes are prone to cardiometabolic risk factors and a threefold risk of obesity and central obesity.
                <sup>
                    <xref ref-type="bibr" rid="ref38">37</xref>
                </sup> Our study showed that 82% of the respondents were women. Women of reproductive age are less susceptible to cardiovascular disease because of the protective effects of estrogen. Estrogen commonly reduces triglyceride and LDL-C circulating levels, while increasing HDL-C levels. However, some studies have mentioned the development of cardiovascular disease in women with lower blood glucose levels than in men.
                <sup>
                    <xref ref-type="bibr" rid="ref39">38</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref41">40</xref>
                </sup> The mean BMI in this study was 26.61 (95% CI 25.53-27.68). BMI is a risk factor for prediabetes. BMI is a simple anthropometric measure commonly used to measure general adiposity.
                <sup>
                    <xref ref-type="bibr" rid="ref38">37</xref>
                </sup> Asian populations have more visceral fat than Caucasian populations do. This results in metabolic disorders, lipotoxicity, and insulin resistance. In addition, limited insulin secretory capacity and genetic predisposition play important roles in the development of insulin resistance. Several studies have reported that there is no relationship between BMI and the obesity paradox, and BMI acts as a simple indicator for evaluating the risk of blood glucose and lipid metabolism.
                <sup>
                    <xref ref-type="bibr" rid="ref42">41</xref>
                </sup> Maintaining a normal weight BMI is essential in the education of patients with prediabetes and is a concern for physicians.
                <sup>
                    <xref ref-type="bibr" rid="ref43">42</xref>
                </sup>
            </p>
            <p>In this study, of 16 risk factors, only 3 risk factors have significant correlation with prediabetes in Medan (
                <italic toggle="yes">p</italic>&lt;0.05), namely HbA1c, IFG, and IGT. The American Diabetes Association (ADA) defines impaired fasting glucose (IFG) as having a fasting plasma glucose (FPG) level of 100&#x2013;125 mg/dL, impaired glucose tolerance (IGT) as having a 2-hour postprandial glucose of 140&#x2013;199 mg/dL, or elevated HbA1c (5.7%&#x2013;6.4%) as having &#x201c;prediabetes,&#x201d; or intermediate hyperglycemia, and advises this population to make preventative efforts. Similar to the study by Barry et al., the majority of prediabetic participants in their sample showed elevated HbA1c (51%), IFG (67%), and IGT (32%) was significantly lower.
                <sup>
                    <xref ref-type="bibr" rid="ref44">43</xref>
                </sup> This is a new finding that has never been published in this manner: women are significantly more likely than males to have elevated HbA1c levels.</p>
            <p>Women are more likely than men to have increased HbA1c readings, which is a novel finding not previously documented in this manner. There was a substantial difference in the joint distribution of IGT, IFG, and elevated HbA1c values between men and women. Statistics suggest that the specific definition of prediabetes used can significantly impact the percentage of women and men who are classified as having prediabetes and are eligible for targeted lifestyle treatments to prevent diabetes. However, the exact reason for this observation is still unclear.
                <sup>
                    <xref ref-type="bibr" rid="ref41">40</xref>
                </sup>
            </p>
            <p>Preventing T2DM provides significant public health benefits, including lower rates of complications.
                <sup>
                    <xref ref-type="bibr" rid="ref45">44</xref>
                </sup> Implementing lifestyle counselling in clinical practice is feasible and cost-effective.
                <sup>
                    <xref ref-type="bibr" rid="ref33">45</xref>
                </sup> Program-intensive lifestyle interventions from the DPP were to achieve and maintain a minimum weight loss of 7% and a physical activity of 150 min per week identical in intensity to brisk walking. The goal of physical activity was to approximate at least 700 kcal/week of physical activity.
                <sup>
                    <xref ref-type="bibr" rid="ref46">46</xref>
                </sup> The 12-week intervention consisted of four nutrition visits and instructions on a high-carbohydrate diet (60% to 70% daily calories), high-fiber diet, and low-fat diet (&lt;7% calories from saturated fat). The results showed 5% weight loss.
                <sup>
                    <xref ref-type="bibr" rid="ref45">44</xref>
                </sup> In a study of participants at a high risk of diabetes, dietary fiber intake lowered postprandial blood glucose and insulin resistance. The recommended dietary fibre intake recommendation is 3.0 g or 1,000 kcal of total energy per day to prevent T2DM.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Holistic and integrated coordination is needed to assess the disease, including early detection in high-risk factor populations, targeted treatment, and intensive lifestyle modification.</p>
        </sec>
        <sec id="sec16" sec-type="conclusion">
            <title>Conclusion</title>
            <p>This study found that The prevalence of prediabetes in the Medan group was 67.4%. 82% of the participants were female, and more than half were overweight or obese based on body mass index. Risk factors such as HbA1c, IFG, and IGT were significantly correlated with the incidence of prediabetes in Medan. Early detection is necessary to assess high-risk factors, targeted treatment, and intensive lifestyle modifications.</p>
            <sec id="sec17">
                <title>Ethical statement</title>
                <p>The research design was approved by the Ethics Committee of the Faculty of Medicine, Universitas Sumatera Utara. The approval number is 896/KEPK/USU/2023 (Approval date: 21 August 2023). Patient participation is voluntary; patients are not compelled to participate in this research. Before being included in the research, patients are given an informed consent sheet containing information about research procedures, blood examinations, the discomfort they will experience when taking blood, and other matters related to the research. If the patient understands and is willing to participate, they must sign the informed consent sheet.</p>
            </sec>
        </sec>
    </body>
    <back>
        <sec id="sec20" sec-type="data-availability">
            <title>Data availability</title>
            <sec id="sec21">
                <title>Underlying data</title>
                <p>Figshare: Prediabetes data, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.25612098.v1">https://doi.org/10.6084/m9.figshare.25612098.v1</ext-link>.
                    <sup>

                        <xref ref-type="bibr" rid="ref47">47</xref>
</sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Data file: Prediabetes Data</p>
                        </list-item>
                    </list>
                </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/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0)</p>
            </sec>
        </sec>
        <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>Kharroubi</surname>
                            <given-names>AT</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Darwish</surname>
                            <given-names>HM</given-names>
                        </name>
</person-group>:
                    <article-title>Diabetes mellitus: The epidemic of the century.</article-title>
                    <source>

                        <italic toggle="yes">World J. Diabetes.</italic>
</source>
                    <year>2015</year>;<volume>6</volume>(<issue>6</issue>):<fpage>850</fpage>&#x2013;<lpage>867</lpage>.
                    <pub-id pub-id-type="pmid">26131326</pub-id>
                    <pub-id pub-id-type="doi">10.4239/wjd.v6.i6.850</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4478580</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref2">
                <label>2</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Magliano</surname>
                            <given-names>DJ</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Boyko</surname>
                            <given-names>EJ</given-names>
                        </name>
</person-group>:
                    <chapter-title>IDF Diabetes Atlas 10th edition scientific committee.</chapter-title>
                    <source>

                        <italic toggle="yes">IDF Diabetes Atlas.</italic>
</source>
                    <edition>10th ed.</edition>
                    <publisher-loc>Brussels</publisher-loc>:
                    <publisher-name>International Diabetes Federation</publisher-name>;<year>2021</year>
                </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>Amelia</surname>
                            <given-names>R</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Zulham</surname>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Educational Model and Prevention on Prediabetes: A Systematic Review.</article-title>
                    <source>

                        <italic toggle="yes">Curr. Diabetes Rev.</italic>
</source>
                    <year>2024</year>;<volume>20</volume>:<fpage>e101023221945</fpage>.
                    <pub-id pub-id-type="pmid">37818560</pub-id>
                    <pub-id pub-id-type="doi">10.2174/0115733998275518231006074504</pub-id>
                    <pub-id pub-id-type="pmcid">PMC10909827</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>Lee</surname>
                            <given-names>CMY</given-names>
                        </name>

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

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

                        <etal/>
</person-group>:
                    <article-title>Comparing different definitions of prediabetes with subsequent risk of diabetes: an individual participant data meta-analysis involving 76 513 individuals and 8208 cases of incident diabetes.</article-title>
                    <source>

                        <italic toggle="yes">BMJ Open Diabetes Res. Care.</italic>
</source>
                    <year>2019</year>;<volume>7</volume>(<issue>1</issue>):<fpage>e000794</fpage>.
                    <pub-id pub-id-type="pmid">31908797</pub-id>
                    <pub-id pub-id-type="doi">10.1136/bmjdrc-2019-000794. eCollection 2019</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6936411</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref5">
                <label>5</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Vicks</surname>
                            <given-names>WS</given-names>
                        </name>

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

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

                        <etal/>
</person-group>:
                    <article-title>Prevalence of prediabetes and diabetes vary by ethnicity among U.S. Asian adults at healthy weight, overweight, and obesity ranges: an electronic health record study.</article-title>
                    <source>

                        <italic toggle="yes">BMC Public Health.</italic>
</source>
                    <year>2022</year>;<volume>22</volume>(<issue>1</issue>):<fpage>1954</fpage>.
                    <pub-id pub-id-type="pmid">36273116</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s12889-022-14362-8</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9587616</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref6">
                <label>6</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Khan</surname>
                            <given-names>RMM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Chua</surname>
                            <given-names>ZJY</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research.</article-title>
                    <source>

                        <italic toggle="yes">Medicina (Kaunas).</italic>
</source>
                    <year>2019</year>;<volume>55</volume>(<issue>9</issue>):<fpage>546</fpage>.
                    <pub-id pub-id-type="pmid">31470636</pub-id>
                    <pub-id pub-id-type="doi">10.3390/medicina55090546</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6780236</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref7">
                <label>7</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Bansal</surname>
                            <given-names>N</given-names>
                        </name>
</person-group>:
                    <article-title>Prediabetes diagnosis and treatment: A review.</article-title>
                    <source>

                        <italic toggle="yes">World J. Diabetes.</italic>
</source>
                    <year>2015</year>;<volume>6</volume>(<issue>2</issue>):<fpage>296</fpage>&#x2013;<lpage>303</lpage>.
                    <pub-id pub-id-type="pmid">25789110</pub-id>
                    <pub-id pub-id-type="doi">10.4239/wjd.v6.i2.296</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4360422</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref8">
                <label>8</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Rooney</surname>
                            <given-names>MR</given-names>
                        </name>

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

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

                        <etal/>
</person-group>:
                    <article-title>Global Prevalence of Prediabetes.</article-title>
                    <source>

                        <italic toggle="yes">Diabetes Care.</italic>
</source>
                    <year>2023</year>;<volume>46</volume>(<issue>7</issue>):<fpage>1388</fpage>&#x2013;<lpage>1394</lpage>.
                    <pub-id pub-id-type="pmid">37196350</pub-id>
                    <pub-id pub-id-type="doi">10.2337/dc22-2376</pub-id>
                    <pub-id pub-id-type="pmcid">PMC10442190</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref9">
                <label>9</label>
                <mixed-citation publication-type="journal">
                    <collab>American Diabetes Association</collab>:
                    <article-title>2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes&#x2014;2021.</article-title>
                    <source>

                        <italic toggle="yes">Diabetes Care.</italic>
</source>
                    <year>2021</year>;<volume>44</volume>(<issue>Supplement1</issue>):<fpage>S15</fpage>&#x2013;<lpage>S33</lpage>.
                    <pub-id pub-id-type="pmid">33298413</pub-id>
                    <pub-id pub-id-type="doi">10.2337/dc21-S002</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref10">
                <label>10</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Ryd&#x00e9;n</surname>
                            <given-names>L</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Risk and management of pre-diabetes.</article-title>
                    <source>

                        <italic toggle="yes">Eur. J. Prev. Cardiol.</italic>
</source>
                    <year>2019</year>;<volume>26</volume>(<issue>2</issue>):<fpage>47</fpage>&#x2013;<lpage>54</lpage>.
                    <pub-id pub-id-type="doi">10.1177/2047487319880041</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref11">
                <label>11</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <source>

                        <italic toggle="yes">Pedoman Pengelolaan dan Pencegahan Diabetes Melitus Tipe 2 Dewasa di Indonesia.</italic>
</source>
                    <publisher-loc>Indonesia</publisher-loc>:
                    <publisher-name>PB PERKENI</publisher-name>;<year>2021</year>.</mixed-citation>
            </ref>
            <ref id="ref12">
                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Atherosclerotic Cardiovascular Disease in Diabetes Patients.</article-title>
                    <source>

                        <italic toggle="yes">Curr. Diabetes Rev.</italic>
</source>
                    <year>2023</year>;<volume>19</volume>(<issue>8</issue>):<fpage>e060223213457</fpage>.
                    <pub-id pub-id-type="doi">10.2174/1573399819666230206124638</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref13">
                <label>13</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Risk of Cardiovascular Complication Among Type 2 Diabetes Mellitus Patients in Medan, Indonesia. A Cross-sectional Study.</article-title>
                    <source>

                        <italic toggle="yes">Med. Arch.</italic>
</source>
                    <year>2022 Oct</year>;<volume>76</volume>(<issue>5</issue>):<fpage>324</fpage>&#x2013;<lpage>328</lpage>.
                    <pub-id pub-id-type="pmid">36545452</pub-id>
                    <pub-id pub-id-type="doi">10.5455/medarh.2022.76.324-328</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9760233</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref14">
                <label>14</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Risk analysis for cardiovascular complication based on the atherogenic index of plasma of type 2 diabetes mellitus patients in Medan, Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Family Med. Prim. Care Rev.</italic>
</source>
                    <year>2020</year>;<volume>22</volume>(<issue>3</issue>):<fpage>197</fpage>&#x2013;<lpage>201</lpage>.
                    <pub-id pub-id-type="doi">10.5114/fmpcr.2020.98242</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref15">
                <label>15</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Hostalek</surname>
                            <given-names>U</given-names>
                        </name>
</person-group>:
                    <article-title>Global epidemiology of prediabetes - present and future perspectives.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Diabetes Endocrinol.</italic>
</source>
                    <year>2019</year>;<volume>5</volume>:<fpage>5</fpage>.
                    <pub-id pub-id-type="pmid">31086677</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s40842-019-0080-0</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6507173</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref16">
                <label>16</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Feldman</surname>
                            <given-names>EL</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Callaghan</surname>
                            <given-names>BC</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Diabetic neuropathy.</article-title>
                    <source>

                        <italic toggle="yes">Nat. Rev. Dis. Prim.</italic>
</source>
                    <year>2019</year>;<volume>5</volume>:<fpage>42</fpage>.
                    <pub-id pub-id-type="doi">10.1038/s41572-019-0092-1</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref17">
                <label>17</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Yamamoto</surname>
                            <given-names>Z</given-names>
                        </name>
</person-group>:
                    <article-title>Stress level and self-concept among type 2 diabetes mellitus patients in Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Family Med. Prim. Care Rev.</italic>
</source>
                    <year>2020</year>;<volume>22</volume>(<issue>2</issue>):<fpage>111</fpage>&#x2013;<lpage>115</lpage>.
                    <pub-id pub-id-type="doi">10.5114/fmpcr.2020.95313</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref18">
                <label>18</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>IDF Diabetes Atlas: Global, regional and country-level diabetes prevalence estimates for 2021 and projections for 2045.</article-title>
                    <source>

                        <italic toggle="yes">Diabetes Res. Clin. Pract.</italic>
</source>
                    <year>2022</year>;<volume>183</volume>:<fpage>109119</fpage>.
                    <pub-id pub-id-type="pmid">34879977</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.diabres.2021.109119</pub-id>
                    <pub-id pub-id-type="pmcid">PMC11057359</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref19">
                <label>19</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Ramadani</surname>
                            <given-names>RV</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Direct Medical Cost of Type 2 Diabetes Mellitus and Its Associated Complications in Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Value Health Reg. Issues.</italic>
</source>
                    <year>2022</year>;<volume>28</volume>:<fpage>82</fpage>&#x2013;<lpage>89</lpage>.
                    <pub-id pub-id-type="pmid">34839111</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.vhri.2021.04.006</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref20">
                <label>20</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Amelia</surname>
                            <given-names>R</given-names>
                        </name>
</person-group>:
                    <article-title>The Model of Self Care Behaviour and the Relationship with Quality Of Life, Metabolic Control and Lipid Control of Type 2 Diabetes Mellitus Patients in Binjai City, Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Open Access Maced. J. Med. Sci.</italic>
</source>
                    <year>2018 Sep 21</year>;<volume>6</volume>(<issue>9</issue>):<fpage>1762</fpage>&#x2013;<lpage>1767</lpage>.
                    <pub-id pub-id-type="pmid">30338004</pub-id>
                    <pub-id pub-id-type="doi">10.3889/oamjms.2018.363</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6182544</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref21">
                <label>21</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Wijaya</surname>
                            <given-names>H</given-names>
                        </name>
</person-group>:
                    <article-title>The role of physical activity on glucose transporter-4, fasting blood glucose level and glycate hemoglobin in type 2 diabetes mellitus patients in Medan, Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Family Med. Prim. Care Rev.</italic>
</source>
                    <year>2021</year>;<volume>23</volume>(<issue>3</issue>):<fpage>274</fpage>&#x2013;<lpage>278</lpage>.
                    <pub-id pub-id-type="doi">10.5114/fmpcr.2021.108188</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref22">
                <label>22</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Kartasurya</surname>
                            <given-names>MI</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Subagio</surname>
                            <given-names>HW</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>High Prevalence of Prediabetes and Associated Risk Factors in Urban Areas of Pontianak, Indonesia: A Cross-Sectional Study.</article-title>
                    <source>

                        <italic toggle="yes">J. Obes.</italic>
</source>
                    <year>2022</year>;<volume>2022</volume>:<fpage>4851044</fpage>&#x2013;<lpage>4851049</lpage>.
                    <pub-id pub-id-type="pmid">36536959</pub-id>
                    <pub-id pub-id-type="doi">10.1155/2022/4851044</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9759381</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref23">
                <label>23</label>
                <mixed-citation publication-type="other">
                    <collab>Kementerian Kesehatan Republik Indonesia</collab>:
                    <article-title>InfoDATin 2020 Diabetes Melitus. Pusdatin.</article-title>
                    <year>2020</year>
                </mixed-citation>
            </ref>
            <ref id="ref24">
                <label>24</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Lelo</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <article-title>The Relationship between Anthropometry and Ankle-Brachial Index with Blood Glucose Level in Patients with Type 2 Diabetes Mellitus at Community Health Center in Medan, Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Family Med. Prim. Care Rev.</italic>
</source>
                    <year>2018</year>;<volume>20</volume>(<issue>4</issue>):<fpage>307</fpage>&#x2013;<lpage>312</lpage>.
                    <pub-id pub-id-type="doi">10.5114/fmpcr.2018.79339</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref25">
                <label>25</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Analysis of factors affecting the self-care behaviors of diabetes mellitus type 2 patients in Binjai, North Sumatera-Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Asian J. Microbiol., Biotechnol. Environ. Sci.</italic>
</source>
                    <year>2018</year>;<volume>20</volume>(<issue>2</issue>):<fpage>361</fpage>&#x2013;<lpage>367</lpage>.</mixed-citation>
            </ref>
            <ref id="ref26">
                <label>26</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Rusdiana</surname>
                            <given-names>SM</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Amelia</surname>
                            <given-names>R</given-names>
                        </name>
</person-group>:
                    <article-title>The Effect of Diabetes Self-Management Education on Hba1c Level and Fasting Blood Sugar in Type 2 Diabetes Mellitus Patients in Primary Health Care in Binjai City of North Sumatera, Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Open Access Maced. J. Med. Sci.</italic>
</source>
                    <year>2018 Apr 12</year>;<volume>6</volume>(<issue>4</issue>):<fpage>715</fpage>&#x2013;<lpage>718</lpage>.
                    <pub-id pub-id-type="pmid">29731946</pub-id>
                    <pub-id pub-id-type="doi">10.3889/oamjms.2018.169</pub-id>
                    <pub-id pub-id-type="pmcid">PMC5927509</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref27">
                <label>27</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Anoyke</surname>
                            <given-names>MA</given-names>
                        </name>
</person-group>:
                    <article-title>Sample Size Determination in Survey Research.</article-title>
                    <source>

                        <italic toggle="yes">J. Sci. Res. Rep.</italic>
</source>
                    <year>2020</year>;<volume>26</volume>(<issue>5</issue>):<fpage>90</fpage>&#x2013;<lpage>97</lpage>.
                    <pub-id pub-id-type="doi">10.9734/jsrr/2020/v26i530263</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref28">
                <label>28</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Kathak</surname>
                            <given-names>RR</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Sumon</surname>
                            <given-names>AH</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Molla</surname>
                            <given-names>NH</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>The association between elevated lipid profile and liver enzymes: a study on Bangladeshi adults.</article-title>
                    <source>

                        <italic toggle="yes">Sci. Rep.</italic>
</source>
                    <year>2022</year>;<volume>12</volume>(<issue>1</issue>):<fpage>1711</fpage>.
                    <pub-id pub-id-type="pmid">35110625</pub-id>
                    <pub-id pub-id-type="doi">10.1038/s41598-022-05766-y</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8810783</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref29">
                <label>29</label>
                <mixed-citation publication-type="book">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Motiani</surname>
                            <given-names>A</given-names>
                        </name>
</person-group>:
                    <source>

                        <italic toggle="yes">Hexokinase method.</italic>
</source>
                    <publisher-name>StatPearls</publisher-name>;<year>2024</year>.</mixed-citation>
            </ref>
            <ref id="ref30">
                <label>30</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Analytical interference of 33 different hemoglobin variants on HbA1c measurements comparing high-performance liquid chromatography with whole blood enzymatic assay: a multi-center study.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Chim. Acta.</italic>
</source>
                    <year>2022</year>;<volume>531</volume>:<fpage>145</fpage>&#x2013;<lpage>151</lpage>.
                    <pub-id pub-id-type="pmid">35378091</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.cca.2022.03.028</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref31">
                <label>31</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Pramono</surname>
                            <given-names>LA</given-names>
                        </name>
</person-group>:
                    <article-title>Prevalence, Characteristics, and Predictors Of Pre-diabetes In Indonesia.</article-title>
                    <source>

                        <italic toggle="yes">Med. J. Indones.</italic>
</source>
                    <year>2011</year>;<volume>20</volume>(<issue>4</issue>):<fpage>283</fpage>&#x2013;<lpage>294</lpage>.
                    <pub-id pub-id-type="doi">10.13181/mji.v20i4.465</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref32">
                <label>32</label>
                <mixed-citation publication-type="book">
                    <collab>Center for Disease Control and Prevention</collab>:
                    <source>

                        <italic toggle="yes">Prevalence of Prediabetes Among Adults.</italic>
</source>
                    <publisher-loc>The United States of America (The US)</publisher-loc>:
                    <publisher-name>CDC</publisher-name>;<year>2022 [updated 2022; cited 2023 Sept 06]</year>. Prevalence of Prediabetes Among Adults|Diabetes|CDC.</mixed-citation>
            </ref>
            <ref id="ref34">
                <label>33</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Nasir</surname>
                            <given-names>JA</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Prevalence of type-2 diabetes and prediabetes in Malaysia: A systematic review and meta-analysis.</article-title>
                    <source>

                        <italic toggle="yes">PLoS One.</italic>
</source>
                    <year>2022</year>;<volume>17</volume>(<issue>1</issue>):<fpage>e0263139</fpage>.
                    <pub-id pub-id-type="pmid">35085366</pub-id>
                    <pub-id pub-id-type="doi">10.1371/journal.pone.0263139</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8794132</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref35">
                <label>34</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Andriani</surname>
                            <given-names>RN</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Danawati</surname>
                            <given-names>CW</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Analysis of prediabetes risk factors at primary health care centers.</article-title>
                    <source>

                        <italic toggle="yes">RevPrim. Care Prac. Educ.</italic>
</source>
                    <year>2022</year>;<volume>5</volume>(<issue>2</issue>):<fpage>52</fpage>&#x2013;<lpage>56</lpage>.
                    <pub-id pub-id-type="doi">10.22146/rpcpe.74552</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref36">
                <label>35</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Galaviz</surname>
                            <given-names>KI</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Narayan</surname>
                            <given-names>KMV</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Lifestyle and the Prevention of Type 2 Diabetes: A Status Report.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Lifestyle Med.</italic>
</source>
                    <year>2018</year>;<volume>12</volume>(<issue>1</issue>):<fpage>4</fpage>&#x2013;<lpage>20</lpage>.
                    <pub-id pub-id-type="pmid">30202378</pub-id>
                    <pub-id pub-id-type="doi">10.1177/1559827615619159</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6125024</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref37">
                <label>36</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Redondo</surname>
                            <given-names>AD</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Modifiable risk factors associated with prediabetes in men and women: a cross-sectional analysis of the cohort study in primary health care on the evolution of patients with prediabetes (PREDAPS-Study).</article-title>
                    <source>

                        <italic toggle="yes">BMC Fam. Pract.</italic>
</source>
                    <year>2015</year>;<volume>16</volume>(<issue>5</issue>):<fpage>5</fpage>.
                    <pub-id pub-id-type="pmid">25609029</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s12875-014-0216-3</pub-id>
                    <pub-id pub-id-type="pmcid">PMC4316391</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref38">
                <label>37</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Rising Prediabetes, Undiagnosed Diabetes, and Risk Factors in Young Women.</article-title>
                    <source>

                        <italic toggle="yes">Am. J. Prev. Med.</italic>
</source>
                    <year>2023</year>;<volume>64</volume>(<issue>3</issue>):<fpage>423</fpage>&#x2013;<lpage>427</lpage>.
                    <pub-id pub-id-type="pmid">36437142</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.amepre.2022.10.001</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9974837</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref39">
                <label>38</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Miranda</surname>
                            <given-names>JJ</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Diagnostic accuracy of the Finnish Diabetes Risk Score (FINDRISC) for undiagnosed T2DM in Peruvian population.</article-title>
                    <source>

                        <italic toggle="yes">Prim. Care Diabetes.</italic>
</source>
                    <year>2018</year>;<volume>12</volume>(<issue>6</issue>):<fpage>517</fpage>&#x2013;<lpage>525</lpage>.
                    <pub-id pub-id-type="pmid">30131300</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.pcd.2018.07.015</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6249987</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref40">
                <label>39</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

                        <name name-style="western">
                            <surname>Harun</surname>
                            <given-names>SN</given-names>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Gender differences in the modifiable risk factors associated with the presence of prediabetes: A systematic review.</article-title>
                    <source>

                        <italic toggle="yes">Diabetes Metab. Syndr. Clin. Res. Rev.</italic>
</source>
                    <year>2020</year>;<volume>14</volume>(<issue>5</issue>):<fpage>1243</fpage>&#x2013;<lpage>1252</lpage>.
                    <pub-id pub-id-type="pmid">32688241</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.dsx.2020.06.069</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref41">
                <label>40</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

                        <name name-style="western">
                            <surname>Powell-Wiley</surname>
                            <given-names>TM</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Identification of obesity and cardiovascular risk in ethnically and racially diverse populations: a scientific statement from the american heart association.</article-title>
                    <source>

                        <italic toggle="yes">Circulation.</italic>
</source>
                    <year>2015</year>;<volume>132</volume>(<issue>5</issue>):<fpage>457</fpage>&#x2013;<lpage>472</lpage>.
                    <pub-id pub-id-type="pmid">26149446</pub-id>
                    <pub-id pub-id-type="doi">10.1161/CIR.0000000000000223</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref42">
                <label>41</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Association of body mass index with risk of prediabetes in Chinese adults: A population-based cohort study.</article-title>
                    <source>

                        <italic toggle="yes">J. Diabetes Investig.</italic>
</source>
                    <year>2022</year>;<volume>13</volume>(<issue>7</issue>):<fpage>1235</fpage>&#x2013;<lpage>1244</lpage>.
                    <pub-id pub-id-type="pmid">35243798</pub-id>
                    <pub-id pub-id-type="doi">10.1111/jdi.13783</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9248430</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref43">
                <label>42</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Grundlingh</surname>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Assessment of prevalence and risk factors of diabetes and pre-diabetes in South Africa.</article-title>
                    <source>

                        <italic toggle="yes">J. Health Popul. Nutr.</italic>
</source>
                    <year>2022</year>;<volume>41</volume>(<issue>7</issue>):<fpage>7</fpage>.
                    <pub-id pub-id-type="pmid">35236427</pub-id>
                    <pub-id pub-id-type="doi">10.1186/s41043-022-00281-2</pub-id>
                    <pub-id pub-id-type="pmcid">PMC8889060</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref44">
                <label>43</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Greiner</surname>
                            <given-names>GG</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Emmert-Fees</surname>
                            <given-names>KMF</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Toward targeted prevention: risk factors for prediabetes defned by impaired fasting glucose, impaired glucose tolerance and increased HbA1c in the population-based KORA study from Germany.</article-title>
                    <source>

                        <italic toggle="yes">Acta Diabetol.</italic>
</source>
                    <year>2020</year>;<volume>57</volume>:<fpage>1481</fpage>&#x2013;<lpage>1491</lpage>.
                    <pub-id pub-id-type="pmid">32748175</pub-id>
                    <pub-id pub-id-type="doi">10.1007/s00592-020-01573-x</pub-id>
                    <pub-id pub-id-type="pmcid">PMC7591423</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref45">
                <label>44</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Diabetes Canada 2018 Clinical Practice Guidelines for the Prevention and Management of Diabetes in Canada: Pharmacologic Glycemic Management of Type 2 Diabetes in Adults.</article-title>
                    <source>

                        <italic toggle="yes">Can. J. Diabetes.</italic>
</source>
                    <year>2018</year>;<volume>42</volume>(<issue>Suppl 1</issue>):<fpage>S88</fpage>&#x2013;<lpage>S103</lpage>.
                    <pub-id pub-id-type="doi">10.1016/j.jcjd.2017.10.034</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref33">
                <label>45</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

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

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

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

                        <etal/>
</person-group>:
                    <article-title>Prevalence of prediabetes, diabetes, diabetes awareness, treatment, and its socioeconomic inequality in west of Iran.</article-title>
                    <source>

                        <italic toggle="yes">Sci. Rep.</italic>
</source>
                    <year>2022</year>;<volume>12</volume>(<issue>1</issue>):<fpage>17892</fpage>.
                    <pub-id pub-id-type="pmid">36284227</pub-id>
                    <pub-id pub-id-type="doi">10.1038/s41598-022-22779-9</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9596718</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref46">
                <label>46</label>
                <mixed-citation publication-type="journal">
                    <collab>American Diabetes Association</collab>:
                    <article-title>Standards of Medical Care in Diabetes&#x2014;2020 Abridged for Primary Care Providers.</article-title>
                    <source>

                        <italic toggle="yes">Clin. Diabetes.</italic>
</source>
                    <year>2020</year>;<volume>38</volume>(<issue>1</issue>):<fpage>10</fpage>&#x2013;<lpage>38</lpage>.
                    <pub-id pub-id-type="pmid">31975748</pub-id>
                    <pub-id pub-id-type="doi">10.2337/cd20-as01</pub-id>
                    <pub-id pub-id-type="pmcid">PMC6969656</pub-id>
                </mixed-citation>
            </ref>
            <ref id="ref47">
                <label>47</label>
                <mixed-citation publication-type="other">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Amelia</surname>
                            <given-names>R</given-names>
                        </name>
</person-group>:
                    <article-title>Prediabetes Data.</article-title>
                    <pub-id pub-id-type="doi">10.6084/m9.figshare.25612098.v1</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report317377">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.165188.r317377</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Pradeepa</surname>
                        <given-names>Rajendra</given-names>
                    </name>
                    <xref ref-type="aff" rid="r317377a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4909-3733</uri>
                </contrib>
                <aff id="r317377a1">
                    <label>1</label>Madras Diabetes Research Foundation, Tamil Nadu, India</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>18</day>
                <month>9</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Pradeepa R</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="relatedArticleReport317377" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.150600.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Thank you for asking me to review the article entitled &#x201c;Prevalence, Characteristics and Risk Factors Analysis of Prediabetes: A Cross-Sectional Study&#x201d; conducted in Medan, Indonesia. The study aimed to determine the prevalence, characteristics, and risk factors of prediabetes state of Medan in August 2023 among 89 participants. The authors have reported the prevalence of prediabetes based on HbA1c, FBG and 2-hours OGTT levels as 28.1%, 50.6%, and 28.1%, respectively. They have provided the clinical and biochemical characteristics and risk factors assessed in the study population.</p>
            <p> &#x00a0;The study has been conducted in one month with a very small sample size of 89 participants. The authors could also assess the prevalence using combinations of criteria such as using both HbA1c and FBG etc. The statistical analysis done is very basic, suggest to include multivariate regression to assess the association of risk factors with prediabetes.</p>
            <p> </p>
            <p> This manuscript needs major modification</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>No</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>No</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>Epidemiology of diabetes and associated complications</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report313859">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.165188.r313859</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Abdallah</surname>
                        <given-names>Hanaa Reyad</given-names>
                    </name>
                    <xref ref-type="aff" rid="r313859a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r313859a1">
                    <label>1</label>National Research Centre, Cairo, Egypt</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>30</day>
                <month>8</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Abdallah HR</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="relatedArticleReport313859" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.150600.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This manuscript gives information about the prevalence of pre-diabetes in&#x00a0; Medan state in Indonesia which was diagnosed by three methods; HbA1c, OGTT and FBG. the authors also investigated factors associated with pre-diabetes occurrence in those people. Here are my comments about this manuscript:</p>
            <p> 1- The title: please remove the word "analysis".</p>
            <p> 2- Methods:</p>
            <p> - I think the sample size is small for a community based study representing a state like Medan.</p>
            <p> -&#x00a0; The anthropometric measures needs to be in more details and reference is needed and BMI calculation and classification is shoes insufficiency.</p>
            <p> - The statistical analysis: the statistical tests were not used appropriately as follows:</p>
            <p> &#x00a0;- The Chi square test is not used to detect associated factors; it is used to compare two groups according to qualitative data. so you should calculate the percentages in each group ( prediabetes group and normal group) separately.</p>
            <p> - The correlation was not assessed accurately as you should use the tests of correlation e.g Pearson's correlation coefficient test.</p>
            <p> - The risk factors associated with the occurrence of prediabetes should be assessed by Multiple logistic regression analysis not Chi square test.</p>
            <p> 3- Results:</p>
            <p> - The prevalence of prediabetes was mentioned by three percentages according to the method used to diagnose it then latter in the text it was mentioned in only one percentage which differed completely from these findings.</p>
            <p> - there is discrepancies in results in the tables than those in the text so please revise your results accurately.</p>
            <p> -&#x00a0; HbA1c, FBGL, and 2-hours postprandial OGTT, are not risk factors for prediabetes, they are diagnostic tests&#x00a0; used to detect prediabetes.</p>
            <p> 4- The conclusion:</p>
            <p> the prevalence of prediabetes mentioned was completely different than this in the results.</p>
            <p> 5-The legends of tables contains some abbreviations which was not present in the tables as IGF1 &amp; VEGF.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</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>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Child growth and development, Diabetes, NAFLD, Obesity, nutrition, stunted growth, Autism, Down Syndrome, Oxidative stress, Gut microbiota.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to state that I do not consider it to be of an acceptable scientific standard, for reasons outlined above.</p>
        </body>
    </sub-article>
</article>
