<?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="other" 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.147438.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Study Protocol</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Effect of high dietary fiber intake on insulin resistance, body composition and weight, among overweight or obese middle-aged women: study protocol for a double-blinded randomized controlled trail.</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 not approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Hebbar</surname>
                        <given-names>Suvarna</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/">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/0000-0003-3964-5116</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>Umakanth</surname>
                        <given-names>Shashikiran</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</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/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5210-7457</uri>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Thimmappa</surname>
                        <given-names>Latha</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</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/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Galbao</surname>
                        <given-names>Joniya</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0009-0002-8455-7385</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Clinical Nutrition and Dietetics, Manipal College of Health Professions, Manipal., Karnataka, 576104, India</aff>
                <aff id="a2">
                    <label>2</label>Department of Medicine, Melaka Manipal Medical College, Manipal, Karnataka, 576104, India</aff>
                <aff id="a3">
                    <label>3</label>College of Nursing, AIIMS Kalyani, Basantapur, West Bengal, 741245, India</aff>
                <aff id="a4">
                    <label>4</label>Clinical Nutrition and Dietetics, Kasturba Hospital, Manipal, Karnataka, 576104, India</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:suvarna.hebbar@manipal.edu">suvarna.hebbar@manipal.edu</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>27</day>
                <month>10</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2024</year>
            </pub-date>
            <volume>13</volume>
            <elocation-id>396</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>3</day>
                    <month>10</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Hebbar S et al.</copyright-statement>
                <copyright-year>2025</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/13-396/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Obesity is a major consequence of malnutrition and significantly contributes to the global burden of chronic diseases. Currently, there are more overweight and obese individuals than underweight individuals. Increased fiber intake can increase insulin sensitivity and fat oxidation. According to research studies, the average dietary fiber consumption is below the recommended value, and the WHO anticipates that the worldwide obesity prevalence has increased in the past ten years.</p>
                </sec>
                <sec>
                    <title>Aim</title>
                    <p>To evaluate the effect of high dietary fiber intake on insulin resistance, body composition, and weight in overweight and obese middle-aged women.</p>
                </sec>
                <sec>
                    <title>Method</title>
                    <p>This hospital-based study evaluated 500 people during phase 1 to identify the prevalence of insulin resistance among overweight and obese middle-aged women. An RCT with intervention and control arms for 180 individuals is being conducted in Phase 2 to determine the effect of increased dietary fiber consumption on insulin resistance, body composition, and weight in overweight or obese middle-aged women. In the intervention group, women were counselled for 15 min and given a tailored food chart including 40 g of fiber. Women in the control arm will receive a typical food care plan with 25 g of fiber, based on their health status. Each engaged woman received fiber nutritional empowerment.</p>
                </sec>
                <sec>
                    <title>Discussion</title>
                    <p>Increasing dietary fiber consumption can improve insulin resistance, body composition, and weight in middle-aged overweight and obese women.</p>
                </sec>
                <sec>
                    <title>Trial registration</title>
                    <p>The Clinical Trials Registry of India (CTRI/2022/01/039074) has registered this study as a clinical trial on January 3, 2022 
                        <uri xlink:href="http://ctri.nic.in/">http://ctri.nic.in</uri>
                    </p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Middle Aged</kwd>
                <kwd>Women</kwd>
                <kwd>Insulin Resistance</kwd>
                <kwd>Overweight</kwd>
                <kwd>Obesity</kwd>
                <kwd>Body Composition</kwd>
                <kwd>Dietary Fiber</kwd>
                <kwd>Health Status.</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100001411">
                    <funding-source>Indian Council of Medical Research</funding-source>
                    <award-id>R.11014/12/2023-GIA/HR</award-id>
                </award-group>
                <funding-statement>This study is funded by IMCR-DHR (R.11014/12/2023-GIA/HR) </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>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>The revised version of this article provides substantial clarifications and updates to improve methodological transparency and scientific accuracy. First, the methods section has been restructured, with Phase 1 (screening for insulin resistance) and Phase 2 (randomized controlled trial) now described under distinct subheadings, along with a schematic representation of the study timeline and intervention schedule. Second, the rationale for focusing exclusively on women has been expanded, with evidence supporting sex-specific differences in insulin resistance and obesity among middle-aged women. Third, outdated terminology such as &#x201c;roughage&#x201d; has been replaced with current scientific language to enhance clarity. The study design description has been corrected: the trial is an open-label randomized controlled study, not double-blind, with justification for this choice provided. Clarifications were also added regarding the sample size, dropout rate, and the structured 180-day intervention timeline. The rationale for selecting a 20 g/day difference in fiber intake between groups has been elaborated, drawing on both dietary guidelines and preliminary observational data. To strengthen methodological rigor, details on compliance assessment have been expanded, highlighting the combined use of 24-hour recalls, food frequency questionnaires, compliance checklists, and reinforcement sessions. Finally, the intervention diet is now described as ensuring consistency in soluble and insoluble fiber proportions, minimizing variability across participants. Collectively, these revisions address reviewer concerns and improve the clarity, feasibility, and justification of the study design.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec id="sec6">
            <title>Background</title>
            <p>Obesity is a major public health concern worldwide. Urbanization, economic growth, changing lifestyles, and dietary habits have posed a &#x201c;double burden&#x201d; of diseases in rapidly developing low- and middle-income countries, such as India.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> The average dietary fiber consumption was below the recommended value as per research studies, and the World Health Organization estimates that the incidence of obesity has increased worldwide in the last 10 years. Most people do not consume enough food with adequate amounts of fiber to meet the recommended level, and obese women report a lower intake of dietary fiber than normal-weight individuals.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup> A rich source of dietary fiber in meals induces satiety, resulting in reduced hunger.
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> The effect of dietary fiber was obvious in obese participants.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> According to a study led by Georgia State University, consumption of dietary fiber promotes the growth of beneficial bacteria in the colon, preventing obesity, metabolic syndrome, and adverse changes in the intestine.
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup>
            </p>
            <p>The decreased incidence of several diseases is associated with fiber-rich diets that have a positive impact on well-being. High-fiber foods can replace energy (calories), which provides low energy density against high-fat foods. The thickening properties of dietary fiber primarily influence satiation and fullness of the stomach. People who consume ample amounts of dietary fiber are at a low risk of developing coronary artery diseases, stroke, hypertension, diabetes, obesity, and certain gastrointestinal diseases compared to those who have minimal fiber intake. A significant improvement was observed in the values of serum lipoprotein and blood pressure, improvement in blood sugar for diabetic entities, and weight reduction by improving the consumption of elevated fiber foods or fiber supplements. Ingestion of soluble fiber enhances immune function.
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>
                </sup>
            </p>
            <p>An increase in the consumption of dietary fiber from a variety of fruits, vegetables, legumes, and whole-grain products will provide various physiological benefits. Dietary fiber, if consumed in acceptable amounts, lowers the risk of several chronic disorders, such as cardiovascular diseases, type 2 diabetes mellitus, obesity, and certain types of cancer. Dietary fiber sources, along with functional fibers, have the additional benefit of organically occurring micronutrients and phytochemicals that may enhance human health. Health benefits of consuming dietary fiber must be actively communicated to the public.
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> There are few studies on the utilization of dietary fiber in the treatment of obesity, but further research is required to confirm stronger associations between dietary fiber and obesity.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> The growth of beneficial bacteria in the gut is initiated by dietary fiber. Increased consumption of dietary fiber and whole grains helps normalize gut microbiota symbiosis. Dietary fiber improves the gut microbiota composition in individuals with obesity and other metabolic diseases. Nutritive fiber has different impacts on the gut microbiota because of the diverse compositions and structures of the fibers and whole grains.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> High-dietary fiber food is more satiating and has a significant role in establishing a sense of contentment, aids in reducing serum insulin secretion, helps in gastric emptying time, and reduces food intake. It also assists in increasing satiety levels, fat oxidation, decreasing energy intake, and lowering body fat content.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> Dietary fiber, upon fermentation, generates small chain fatty acids that alter eating forms by circulating peptides and gut hormones such as cholecystokinin and glucagon-like peptides, which reduce hunger and promote satiety.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Insulin sensitivity and stimulation of fat oxidation can be improved by increasing fiber intake. Saliva and gastric juice secretions distend the stomach by promoting satiety by enhancing chewing limits.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>This study focuses on weight reduction by increasing fiber consumption. Recommended fiber intake of 40 2000 kcal is per the Indian Council of Medical Research and National Institute of Nutrition Guidelines.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> Dietary fiber has various health benefits, with a satiating role in establishing a sense of contentment, lowering cholesterol levels, and decreasing the rise in blood sugar and fat oxidation by lowering body fat content. Consumption of dietary fiber at the recommended amount will improve overall well-being.</p>
        </sec>
        <sec id="sec7">
            <title>Objectives</title>
            <sec id="sec8">
                <title>Primary objective</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>To determine the effect of fiber intake on insulin resistance, body composition, and weight.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec9">
                <title>Secondary objective</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>To determine the effect of fiber intake on biochemical parameters.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>To assess the opinions of women on modified fiber intake.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
        </sec>
        <sec id="sec10" sec-type="methods">
            <title>Methods</title>
            <p>The present study will be conducted in the OPDs of the medicine, gynaecology, and endocrinology units of a tertiary care hospital in Karnataka, India. This study: 519/2021 was approved by Kasturba Medical College and Kasturba Hospital Institutional Ethics Committee (IEC) on December 19, 2021. The data will be collected on the consent of the patients and the confidentiality will be strictly maintained. Women in the age group between 35-55 years will be screened for insulin resistance at Phase-1 and those women with no contraindication for high fiber consumption and abnormal HOMA-IR will be included in Phase-2.</p>
        </sec>
        <sec id="sec11">
            <title>Phase 1</title>
            <sec id="sec12">
                <title>Objective</title>
                <p>The primary aim of Phase 1 is to screen middle-aged overweight and obese women to determine the prevalence of insulin resistance.</p>
            </sec>
            <sec id="sec13">
                <title>Study setting</title>
                <p>This phase will be conducted in the Outpatient Departments (OPDs) of Medicine, Gynaecology, and Endocrinology at Kasturba Hospital, Manipal.</p>
            </sec>
            <sec id="sec14">
                <title>Sample size &amp; Selection</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>A total of 500 women will be screened to assess insulin resistance.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>
Participants will be categorized into two groups: overweight (BMI 23&#x2013;24.9 kg/m
                                <sup>2</sup>) and obese (BMI &#x2265; 25 kg/m
                                <sup>2</sup>).</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Each group will have at least 166 participants. The sample size was calculated in accordance with insulin resistance and BMI.</p>
                        </list-item>
                    </list>
                </p>
                <sec id="sec15">
                    <title>Inclusion criteria</title>
                    <p>

                        <list list-type="bullet">
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Women aged 35&#x2013;55 years.</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Willing to provide informed consent.</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>BMI &#x2265; 23 kg/m
                                    <sup>2</sup>.</p>
                            </list-item>
                        </list>
                    </p>
                </sec>
                <sec id="sec16">
                    <title>Exclusion criteria</title>
                    <p>

                        <list list-type="bullet">
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Women with conditions affecting nutritional status (e.g., tuberculosis, HIV, cancer, organ failure).</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Women diagnosed with type 2 diabetes mellitus.</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Individuals with hypertension, thyroid disorders, or any medical condition requiring medications affecting body weight (e.g., thyroxine, diuretics).</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Pregnant or lactating women.</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Women already on a weight-loss regime or consuming fiber above the recommended dietary allowance.</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Women with contraindications for high fiber consumption (e.g., inflammatory bowel disease).</p>
                            </list-item>
                        </list>
                    </p>
                </sec>
            </sec>
            <sec id="sec17">
                <title>Data collection methods</title>
                <p>A cross-sectional screening will be undertaken. Women aged 
                    <bold>35&#x2013;55 years</bold> will be recruited for Phase I of the study.</p>
            </sec>
            <sec id="sec18">
                <title>Screening and measurements</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>

                                <bold>Anthropometry:</bold> Height and weight will be measured using standardized procedures, and 
                                <bold>Body Mass Index (BMI)</bold> will be calculated (kg/m
                                <sup>2</sup>).</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>

                                <bold>Biochemical Parameters:</bold> Insulin resistance will be determined using the 
                                <bold>Homeostatic Model Assessment of Insulin Resistance (HOMA-IR)</bold>.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>

                                <bold>Dietary Assessment:</bold> Usual dietary fiber intake will be assessed through a 
                                <bold>24-hour dietary recall method (one-day recall)</bold>. Total dietary fiber, as well as 
                                <bold>soluble and insoluble fiber intake</bold>, will be calculated using standard Indian food composition tables and nutrient analysis software.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec19">
                <title>In-depth interviews</title>
                <p>Simultaneously, an in-depth interview will be conducted telephonically for 45 min to understand the barriers of fiber intake among two equal groups of 20 each, consuming low fiber (&lt;20 g) and good fiber (=20 g to 25 g) in phase 1.</p>
            </sec>
        </sec>
        <sec id="sec20">
            <title>Phase 2: Randomized Controlled Trial (RCT)</title>
            <sec id="sec21">
                <title>Objective</title>
                <p>To assess the impact of high dietary fiber intake (40 g/day) on insulin resistance, body composition, and weight among overweight and obese women.</p>
            </sec>
            <sec id="sec22">
                <title>Study design</title>
                <p>Phase 2, the sample size was 180 participants,
                    <sup>
                        <xref ref-type="bibr" rid="ref12">12</xref>
                    </sup> who will be randomized into the study and control groups. Stratified Block Randomization, 9 block with 20 in each (stratified based on overweight and obese with at least 60 participants in overweight and obese strata). Sequence generation of samples using online software and the Concealment-Opaque Envelope Method will be applied to identify the effect of high dietary fiber intake on insulin resistance, body composition, and weight among overweight or obese middle-aged women.</p>
                <p>180 women will be randomized into:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Intervention Group (n = 90): Receives 40 g/day of fiber with dietary counselling.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Control Group (n = 90): Receives 25 g/day of fiber as part of a standard diet care plan.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec23">
                <title>Sample size calculation</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Sample size for repeated measures ANOVA.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Drop out 15%</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>n = 2&#x2217;(Z1&#x03b1;/2 + Z1-&#x03b2;)2&#x2217;s2&#x2217;[1 + (m&#x2212;1)]&#x2217;&#x03c1;m&#x2217;d2</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Where,</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>n = sample size</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>z 
                                <sub>1-&#x03b1;/2</sub> = 1.96 at &#x03b1; = 0.05</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>z 
                                <sub>1-&#x03b2;</sub> = 0.84 at 80% power</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>s = anticipated population standard deviation of the outcome variable.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>d = clinically significant difference</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>m = number of time points/follow-ups = 2</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>&#x03c1; = intraclass correlation = 0.4</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Insulin resistance</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>n = 71</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Accounting for a dropout rate of 15%, n = 83 per group</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>As per BMI</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>n = 77</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Accounting for a dropout rate of 15%, n = 90 per group</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>The final required sample size was 180 (90 each in the intervention and control groups).</p>
                        </list-item>
                    </list>
                </p>
                <sec id="sec24">
                    <title>Inclusion criteria</title>
                    <p>

                        <list list-type="bullet">
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Women from Phase 1 with abnormal HOMA-IR (&gt;2), indicating insulin resistance.</p>
                            </list-item>
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Willing to adhere to a high-fiber diet if randomized to the intervention group.</p>
                            </list-item>
                        </list>
                    </p>
                </sec>
                <sec id="sec25">
                    <title>Exclusion criteria</title>
                    <p>

                        <list list-type="bullet">
                            <list-item>
                                <label>&#x2022;</label>
                                <p>Women unwilling to continue participation or adhere to the high-fiber diet.</p>
                            </list-item>
                        </list>
                    </p>
                </sec>
            </sec>
            <sec id="sec26">
                <title>Data collection methods</title>
                <p>Women with no contraindication towards high fiber consumption and abnormal HOMA-IR will be included in Phase-2. Baseline assessment will be done for each woman of both the intervention as well as control groups. Demographic data will be collected such as age, religion, place of residence, type of family, number of family members, marital history, education, occupation and income performa. The anthropometric data using stadiometer (for measuring height), weighing scale (for weight measurement) waist and hip circumference will be documented in the OPD. In the biochemical data, fasting blood glucose (hexokinase method) HbA1c (TINA), serum insulin (ECLIA) and lipid profile (triglyceride-GPO Trinder, HDLdirect homogenous, LDL-enzymatic, total cholesterol-CE-CHOD-POD) will be checked. To assess dietary data, a 24-hr dietary recall and food frequency questionnaire will be used. The data will be analysed using DietCal version 6.3. Physical activity data is assessed by using the GPAQ (Global Physical Activity Questionnaire). Body fat analyser will be used to check visceral fat, subcutaneous fat and muscle mass. Clinical assessment (physical complaints like).</p>
            </sec>
        </sec>
        <sec id="sec27">
            <title>Intervention &amp; Control groups</title>
            <sec id="sec28">
                <title>Intervention group</title>
                <p>All women in the intervention arm will be counseled for about 15 minutes, and a customized diet chart consisting of high fiber of 40 grams will be provided. Nutritional empowerment on fiber shall be delivered to each woman enrolled. Necessary dietary advice on the modified diet plan and with a motivation to adhere to the diet plan will be communicated only to the intervention group. After the first counselling, on the 15th day, women will be telephonically assessed on their 24-hour recall dietary intake. On the 30th day, the women will be contacted telephonically again to record their 24-hour recall of their dietary intake. Necessary dietary changes on the modified diet plan will be advised, and motivation to adhere to the diet plan will be continued. On the 60th day, the women will be again telephonically contacted to record their 24-hour recall on their dietary intake, and necessary dietary changes on the modified diet plan will be advised, and motivation to adhere to the diet plan will be continued. On the 90th day, as an outcome-based assessment, women will be called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hr dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, body fat is analyzed using body fat analyzer and a questionnaire on patient opinion regarding modified diet plan shall be assessed as motivation and adherence towards fiber consumption subjects will be communicated telephonically on the 135th day. From the 136th to the 180th day, there shall not be any conversation regarding dietary modifications. On the 180th day, as a compliance-checking, the women will be again called to the hospital for the anthropometric data, biochemical data followed by dietary data. 24 hr dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, body fat analyzed using body fat analyzer and diet compliance on the modified diet plan shall be assessed (
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <p>Schematic representation for randomized control trial.</p>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <tbody>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">Control Arm</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 1</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">Traditional/standard care
                                    <break/>(patient will be called to OPD)</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 15</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">Nil</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 30</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">Nil</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 60</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">Nil</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 90
                                    <break/>(patient will be called to OPD)</td>
                                <td align="left" colspan="2" rowspan="1" valign="top">
                                    <bold>Basic data:</bold>

                                    <break/>Tool 2: 24hr recall and food frequency
                                    <break/>Tool 3: GPAQ
                                    <break/>

                                    <bold>Biochemical parameters:</bold>

                                    <break/>FBS, HbA1c, Sr. Insulin and lipid profile
                                    <break/>

                                    <bold>Body fat analyzer:</bold>

                                    <break/>Visceral fat, S/C fat, muscle mass</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="3" rowspan="1" valign="top">Intervention Arm</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Intervention
                                    <break/>(patient will be called to OPD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Customize the individual-specific diet plan
                                    <break/>Nutritional counseling
                                    <break/>Impart nutritional empowerment on fiber consumption
                                    <break/>Handover of diet plan</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 15, Day 30, Day 60</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reinforcement
                                    <break/>(through telephone)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Tool 2: 24 hr recall
                                    <break/>Tool 3: GPAQ
                                    <break/>Modification of diet plan (if required)
                                    <break/>Motivate to adhere to the intervention</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 90</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Outcome assessment
                                    <break/>(patient will be called to OPD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Basic data:</bold>

                                    <break/>Tool 2: 24-hour recall and food frequency
                                    <break/>Tool 3: GPAQ
                                    <break/>Tool 4: Clinical assessment scale
                                    <break/>Tool 5: Patient opinion on a modified diet
                                    <break/>

                                    <bold>Biochemical parameters:</bold>

                                    <break/>FBS, HbA1c, Sr. Insulin and lipid profile
                                    <break/>

                                    <bold>Body fat analyzer:</bold>

                                    <break/>Visceral fat, S/C fat, muscle mass</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 135</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Reinforcement (through telephone)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Motivation to follow customised diet plan</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">Day 180</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Checking compliance
                                    <break/>(patient will be called to OPD)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">
                                    <bold>Basic data:</bold>

                                    <break/>Tool 2: 24 hr recall and food frequency
                                    <break/>Tool 3: GPAQ
                                    <break/>Tool 4: Clinical assessment scale
                                    <break/>Tool 5: Compliance checklist
                                    <break/>

                                    <bold>Biochemical parameters:</bold>

                                    <break/>FBS, HbA1c, Sr. Insulin and lipid profile
                                    <break/>

                                    <bold>Body fat analyser:</bold>

                                    <break/>Visceral fat, S/C fat, muscle mass</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec29">
                <title>Control group</title>
                <p>Women in the control arm will get a traditional diet care plan with 25 gm of fiber according to their health condition. Necessary dietary advice will be communicated to the control group on the first visit to the hospital. There shall be no telephonic communication with the control group till the 90th day. On the 90th day, as an outcome-based assessment, women will be called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hour dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, and body fat is analyzed using body fat analyzer. On the 180th day, as a compliance-checking, the patient will be again called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hr dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, and body fat is analyzed using body fat analyzer (
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
            </sec>
            <sec id="sec30">
                <title>Data analysis</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Repeated Measures ANOVA will be used to evaluate changes in insulin resistance, body composition, and weight over time.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>SPSS v16.0 will be used for statistical analysis.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec31">
                <title>Ethical considerations</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Approval obtained from the Institutional Research Committee and Institutional Ethics Committee (IEC).</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Trial registered with the Clinical Trials Registry of India (CTRI/2022/01/039074).</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Informed consent was obtained from all participants.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec32">
                <title>Study status</title>
                <p>Currently, participants have been recruited for phase-1 and 2, and follow-up for phase-2 is ongoing.</p>
            </sec>
        </sec>
        <sec id="sec33" sec-type="discussion">
            <title>Discussion</title>
            <p>There is limited evidence on the beneficial association between high dietary fiber intake and metabolic indicators, body composition, and weight in middle-aged women who are overweight or obese in the Indian population. This study will focus on improving insulin resistance, body composition, and weight, which will be recorded in participants with high dietary fiber intake. Dietary fiber has various health benefits, with a satiating role in establishing a sense of contentment, lowering cholesterol levels, and decreasing the rise in blood sugar and fat oxidation by lowering body fat content.</p>
        </sec>
        <sec id="sec34">
            <title>Article summary</title>
            <sec id="sec35">
                <title>Strengths and limitations of this study</title>
                <p>

                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>An improvement in insulin resistance, body composition, and weight will be recorded in participants with high dietary fiber intake.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Good knowledge and practice regarding modified diet plans with high dietary fiber will be addressed to participants.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Knowledge regarding barriers/consequences/clinical hindrances in consuming a high-fiber diet will be addressed.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Drop out due to non-compliance.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Patients adhering to follow the diet plan for a longer period.</p>
                        </list-item>
                        <list-item>
                            <label>&#x2022;</label>
                            <p>Limited resources are available to address the importance of inclusion of recommended fiber in the general public since we are only screening patients visiting hospitals.</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec36">
                <title>Ethics and dissemination</title>
                <p>The study protocol was reviewed and approved by the Institutional Research Committee (IRC) and Institutional Ethics Committee (IEC): 519/2021 was approved by Kasturba Medical College and Kasturba Hospital Institutional Ethics Committee on December 19, 2021, registered under the Clinical Trials Registry- India (CTRI) (CRTI/2022/01/039074). The study will be carried out in compliance with Good Clinical Practice standards. These findings will be published in peer-reviewed journals and presented at international conferences.</p>
            </sec>
            <sec id="sec37">
                <title>Consent to participate</title>
                <p>All the participants signed a written informed consent form. All methods will be carried out in accordance with the relevant guidelines and regulations.</p>
            </sec>
        </sec>
        <sec id="sec38">
            <title>Data availability</title>
            <sec id="sec39">
                <title>Underlying data</title>
                <p>No data are associated with this article.</p>
            </sec>
            <sec id="sec40">
                <title>Extended data</title>
                <p>Open Source Framework: Effect of high dietary fiber intake on insulin resistance, body composition, and weight among overweight or obese middle-aged women: Study protocol for a double-blind randomized controlled trial, DOI 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.17605/OSF.IO/HUW43">https://doi.org/10.17605/OSF.IO/HUW43</ext-link>.</p>
                <p>The supplementary materials available are:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2010;</label>
                            <p>Questionnaire</p>
                        </list-item>
                        <list-item>
                            <label>&#x2010;</label>
                            <p>SPIRIT checklist</p>
                        </list-item>
                        <list-item>
                            <label>&#x2010;</label>
                            <p>Education Material
</p>
                        </list-item>
                    </list>
                </p>
            </sec>
            <sec id="sec41">
                <title>Reporting guidelines</title>
                <p>Open Source Framework: Checklist for Effect of high dietary fiber intake on insulin resistance, body composition, and weight among overweight or obese middle-aged women: Study protocol for a randomized controlled trial, DOI 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.17605/OSF.IO/HUW43">https://doi.org/10.17605/OSF.IO/HUW43</ext-link>.</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We are grateful to the funding agency IMCR-DHR, India.</p>
        </ack>
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                <label>11</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Davis</surname>
                            <given-names>JN</given-names>
                        </name>

                        <name name-style="western">
                            <surname>Landry</surname>
                            <given-names>MJ</given-names>
                        </name>

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

                        <etal/>
</person-group>:
                    <article-title>Effects of a School-Based Nutrition, Gardening, and Cooking Intervention on Metabolic Parameters in High-risk Youth.</article-title>
                    <source>

                        <italic toggle="yes">JAMA Netw. Open.</italic>
</source>
                    <year>2023</year>;<volume>6</volume>(<issue>1</issue>):<fpage>e2250375</fpage>.
                    <pub-id pub-id-type="pmid">36626172</pub-id>
                    <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2022.50375</pub-id>
                    <pub-id pub-id-type="pmcid">PMC9856961</pub-id>
                </mixed-citation>
            </ref>
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                <label>12</label>
                <mixed-citation publication-type="journal">
                    <person-group person-group-type="author">

                        <name name-style="western">
                            <surname>Heaton</surname>
                            <given-names>KW</given-names>
                        </name>
</person-group>:
                    <article-title>Food fibre as an obstacle to energy intake.</article-title>
                    <source>

                        <italic toggle="yes">Lancet.</italic>
</source>
                    <year>1973</year>;<volume>302</volume>(<issue>7843</issue>):<fpage>1418</fpage>&#x2013;<lpage>1421</lpage>.
                    <pub-id pub-id-type="pmid">4128728</pub-id>
                    <pub-id pub-id-type="doi">10.1016/S0140-6736(73)92806-7</pub-id>
                </mixed-citation>
            </ref>
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                <label>13</label>
                <mixed-citation publication-type="journal">
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                        <name name-style="western">
                            <surname>Anderson</surname>
                            <given-names>JW</given-names>
                        </name>

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

                        <name name-style="western">
                            <surname>Davis</surname>
                            <given-names>RH</given-names>
                            <suffix>Jr</suffix>
                        </name>

                        <etal/>
</person-group>:
                    <article-title>Health benefits of dietary fiber.</article-title>
                    <source>

                        <italic toggle="yes">Nutr. Rev.</italic>
</source>
                    <year>2009</year>;<volume>67</volume>(<issue>4</issue>):<fpage>188</fpage>&#x2013;<lpage>205</lpage>.
                    <pub-id pub-id-type="doi">10.1111/j.1753-4887.2009.00189.x</pub-id>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report430536">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.188848.r430536</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Boshuizen</surname>
                        <given-names>Hendriek C</given-names>
                    </name>
                    <xref ref-type="aff" rid="r430536a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r430536a1">
                    <label>1</label>Wageningen University and Research, Wageningen, The Netherlands</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>11</day>
                <month>12</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Boshuizen HC</copyright-statement>
                <copyright-year>2025</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="relatedArticleReport430536" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.147438.2"/>
            <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 is a protocol of a trial comparing a group that will be motivated to eat a high fiber diet to a control group that is not motivated to do so, but only receives information on the benefits of eating fiber. This is a worthwhile endeavor that I fully support. However, the way the protocol has been written down can be improved and the sample size calculation needs correction. Below some points that were not clear to me, or where I have questions regarding the methodology not answered by the protocol. 
                <list list-type="order">
                    <list-item>
                        <p>The second secondary objective is not specific enough. Opinion on what?</p>
                    </list-item>
                    <list-item>
                        <p>In phase 1 I have doubt whether a single 24 hour recall is adequate to determine usual intake. I wonder whether a food frequency questionnaire designed for measuring fiber intake would not be more suitable. Is there evidence to support that a single 24 hour recall gives a sufficiently accurate estimate of usual intake of fiber?</p>
                    </list-item>
                    <list-item>
                        <p>Are 500 participants in phase 1 enough to provide 180 participants who agree to being randomized in phase 2? This is not explained clearly.</p>
                    </list-item>
                    <list-item>
                        <p>It is not clear to me what is meant by &#x201c;The sample size was calculated in accordance with insulin resistance and BMI.&#x201d; Please give more details on the sample size calculation. What input was used? What sample size calculation method?</p>
                    </list-item>
                </list> Phase 2: 
                <list list-type="order">
                    <list-item>
                        <p>The information on the sample size calculation is not complete: two essential parameters for the sample size calculations are s = anticipated population standard deviation of the outcome variable and d = clinically significant difference. The authors do not provide the values they used for these parameters, nor do they justify why the choice for this d and s was made. The sample size formula given cannot be correct and is also not formatted correctly (s2 instead of s
                            <sup>2</sup>).</p>
                    </list-item>
                    <list-item>
                        <p>I understand the difference in fiber intake between control and treatment groups was changed from 20 g/day to 15 g/day in this new version of the protocol. However, the sample size did not change, while I would expect that a higher sample size would be needed as the effect (d) would be lower with a smaller difference.&#x00a0;</p>
                    </list-item>
                    <list-item>
                        <p>In regard to the methodology of phase 2: why are the follow-up measurement on day 180 is not done for the control group? &#x00a0;This could be explained better.</p>
                    </list-item>
                </list> Apart from these points, the writing can be improved.</p>
            <p> The introduction needs structuring and a complete rewrite. Now a series of statements is strung together without clear order. For instance, the role of the microbiome is mentioned, interspersed with statements on other aspects, giving the introduction a repetitive character. Another example is the second sentence where a statement on fiber and an unrelated statement on obesity are combined into a single sentence without the sentence making clear why they are combined. Similarly, there is the sentence &#x201c;There are few studies on the utilization of dietary fiber in the treatment of obesity, but further research is required to confirm stronger associations between dietary fiber and obesity&#x201d;, where &#x201c;but&#x201d; implies a contradiction between the first and the second part, while I don&#x2019;t see the contradiction.</p>
            <p> </p>
            <p> Parts of the protocol are not written out but only given in bullet points. I found this both strange for a paper, and also often unclear. &#x00a0;For instance, under strength an limitations: &#x201c;Good knowledge and practice regarding modified diet plans with high dietary fiber will be addressed to participants&#x201d;. Knowledge of whom? Of the researcher or the participants? How will this knowledge be addresses? &#x00a0;</p>
            <p> </p>
            <p> </p>
            <p>Is the study design appropriate for the research question?</p>
            <p>Partly</p>
            <p>Is the rationale for, and objectives of, the study clearly described?</p>
            <p>Partly</p>
            <p>Are sufficient details of the methods provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Are the datasets clearly presented in a useable and accessible format?</p>
            <p>Not applicable</p>
            <p>Reviewer Expertise:</p>
            <p>Biostatistics, with nutrition as one of my focus areas</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-type="response" id="comment15077-430536">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Hebbar</surname>
                            <given-names>Suvarna</given-names>
                        </name>
                        <aff>Clinical Nutrition &amp; Dietetics, Manipal Academy of Higher Education, Manipal, Karnataka, India</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>15</day>
                    <month>12</month>
                    <year>2025</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>Response for F1000</bold> 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>The second secondary objective is not specific enough. Opinion on what?</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>Opinion of women on modified fiber intake</p>
                <p> </p>
                <p> &#x00a0; 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>In phase 1 I doubt whether a single 24 hour recall is adequate to determine usual intake. I wonder whether a food frequency questionnaire designed for measuring fiber intake would be more suitable. Is there evidence to support that a single 24 hour recall gives a sufficiently accurate estimate of usual intake of fiber?</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>We sincerely appreciate the reviewer&#x2019;s valuable observation. We acknowledge that a single 24-hour dietary recall may not fully capture an individual&#x2019;s habitual dietary intake. However, the primary objective of the present study was to estimate the prevalence of insulin resistance among overweight and obese middle-aged women and to obtain an overview of usual dietary patterns at the population level. For this purpose, a single 24-hour recall is considered a methodologically acceptable and scientifically justified approach, as it provides a reliable estimate of mean group intake when collected from a sufficiently large and heterogeneous sample.</p>
                <p> </p>
                <p> To minimize potential bias, participants reporting atypical or irregular dietary patterns were excluded, thereby ensuring that the recorded dietary recall reasonably reflected usual intake.</p>
                <p> </p>
                <p> We recognize that a more detailed dietary assessment is essential for evaluating individual-level nutrient adequacy, particularly dietary fiber intake. Accordingly, in the subsequent intervention phase, we plan to implement a structured high-fiber dietary intervention combined with supportive physical activity. Dietary intake will be assessed using three non-consecutive 24-hour recalls along with a validated Food Frequency Questionnaire (FFQ) to capture habitual intake patterns more comprehensively. Physical activity will be assessed using the Global Physical Activity Questionnaire (GPAQ). This integrated approach will enable a more robust assessment of habitual diet while facilitating the evaluation of changes in insulin sensitivity and related metabolic outcomes.</p>
                <p> &#x00a0; 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>Are 500 participants in phase 1 enough to provide 180 participants who agree to being randomized in phase 2? This is not explained clearly.</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: Sample Size Justification</bold>
                </p>
                <p> In Phase 1, a total of 
                    <bold>500 overweight and obese middle-aged women</bold> will be screened to determine the prevalence of insulin resistance using 
                    <bold>HOMA-IR</bold>
                    <bold>.</bold> Based on existing epidemiological evidence and our preliminary observational study conducted among 
                    <bold>564 women</bold>, a high prevalence of insulin resistance is anticipated in this population. In the preliminary study, 
                    <bold>over 55% of participants were obese and approximately 20% were overweight</bold>, yielding an observed 
                    <bold>obese-to-overweight ratio of approximately 2:1</bold>
                    <bold>.</bold>
                </p>
                <p> Taking this distribution into account, along with the expected prevalence of insulin resistance and potential exclusions and non-participation in the intervention phase, a screening sample of 
                    <bold>500 participants</bold> was considered adequate to ensure the recruitment of 
                    <bold>180 eligible and consenting participants for Phase 2</bold>
                    <bold>.</bold> This approach allows for appropriate representation of both overweight and obese groups in the randomized phase while maintaining sufficient statistical power for the intervention analyses.</p>
                <p> &#x00a0; 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>It is not clear to me what is meant by &#x201c;The sample size was calculated in accordance with insulin resistance and BMI.&#x201d; Please give more details on the sample size calculation. What input was used? What sample size calculation method</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>The sample size for Phase 2 was calculated based on 
                    <bold>two primary outcome variables insulin </bold>
                    <bold>resistance and body mass index (BMI </bold>as these represent the key metabolic and anthropometric endpoints of the intervention. The calculation was performed using a 
                    <bold>repeated-measures </bold>
                    <bold>ANOVA model</bold>
                    <bold>,</bold> which is appropriate for assessing within- and between-group changes over time in randomized controlled trials.</p>
                <p> Published intervention studies examining the effects of dietary fiber on 
                    <bold>insulin resistance and </bold>
                    <bold>BMI</bold>
                    <bold> </bold>were used as reference sources to determine realistic and clinically meaningful estimates of the 
                    <bold>expected standard deviation (s)</bold> and the 
                    <bold>minimum detectable difference (d)</bold> for these outcomes (references 34 and 35).</p>
                <p> </p>
                <p> Phase 2: 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>The information on the sample size calculation is not complete: two essential parameters for the sample size calculations are s = anticipated population standard deviation of the outcome variable and d = clinically significant difference. The authors do not provide the values they used for these parameters, nor do they justify why the choice for this d and s was made. The sample size formula given cannot be correct and is also not formatted correctly (s2 instead of s2).</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>Explained under the heading- sample size calculation</p>
                <p> &#x00a0; 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>I understand the difference in fiber intake between control and treatment groups was changed from 20 g/day to 15 g/day in this new version of the protocol. However, the sample size did not change, while I would expect that a higher sample size would be needed as the effect (d) would be lower with a smaller difference.</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>The sample size estimation was performed using insulin resistance and body mass index as the primary outcomes, and not dietary fiber intake. Accordingly, no modification to the sample size was required. 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>In regard to the methodology of phase 2: why are the follow-up measurement on day 180 is not done for the control group? &#x00a0;This could be explained better.</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>Its is already been done and mentioned even in flow chart.</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>For instance, the role of the microbiome is mentioned, interspersed with statements on other aspects, giving the introduction a repetitive character. Another example is the second sentence where a statement on fiber and an unrelated statement on obesity are combined into a single sentence without the sentence making clear why they are combined.</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>Its rephrased in page -6</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Similarly, there is the sentence &#x201c;There are few studies on the utilization of dietary fiber in the treatment of obesity, but further research is required to confirm stronger associations between dietary fiber and obesity&#x201d;, where &#x201c;but&#x201d; implies a contradiction between the first and the second part, while I don&#x2019;t see the contradiction.</bold>
                            </p>
                        </list-item>
                    </list> 
                    <bold>Response: </bold>The conjunction &#x201c;but&#x201d; was intentionally used to indicate a contrast between the presence of general evidence supporting the role of dietary fiber in obesity and the limited depth and scope of studies specifically addressing its utilization and strength of association. The intent was to emphasize that, despite existing evidence, further focused investigation remains necessary, which forms the basis of the present study.</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Parts of the protocol are not written out but only given in bullet points. I found this both strange for a paper, and also often unclear. &#x00a0;For instance, under strength an limitations: &#x201c;Good knowledge and practice regarding modified diet plans with high dietary fiber will be addressed to participants&#x201d;. Knowledge of whom? Of the researcher or the participants? How will this knowledge be addresses? &#x00a0;</bold>
                            </p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Response:&#x00a0;Strengths and limitations:&#x00a0;</bold>The study is expected to demonstrate improvements in insulin resistance, body composition, and body weight among participants with higher dietary fiber intake. Participants will receive structured guidance on modified high-fiber diet plans, which is intended to improve their knowledge and dietary practices, as well as to identify barriers and challenges related to sustained fiber consumption. Potential limitations include participant dropout due to dietary non-compliance, variability in long-term adherence to the prescribed diet, and limited generalizability due to hospital-based recruitment and resource constraints.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report357073">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.161634.r357073</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Frost</surname>
                        <given-names>Gary</given-names>
                    </name>
                    <xref ref-type="aff" rid="r357073a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0529-6325</uri>
                </contrib>
                <aff id="r357073a1">
                    <label>1</label>Department of Metabolism, Digestion and Reproduction, Imperial College London, London, England, UK</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>5</day>
                <month>2</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Frost G</copyright-statement>
                <copyright-year>2025</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="relatedArticleReport357073" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.147438.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>reject</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>I found the protocol somewhat confusing, primarily because the methods section combines both Phase 1 and Phase 2. It would be clearer if each phase were presented separately under distinct subheadings.</p>
            <p> </p>
            <p> Including a schematic diagram of the intervention would greatly aid in understanding the different phases and how they are structured.</p>
            <p> </p>
            <p> The rationale for expecting sex-specific differences in response to the dietary fiber intervention is unclear. Additionally, the purpose of the intervention itself needs to be better justified. Is this study specifically designed for women&#x2019;s health? If so, the justification for conducting a single-sex study should be clearly articulated.</p>
            <p> </p>
            <p> Some of the language used in the background section appears outdated and would benefit from revision. For example, terms like &#x201c;roughage&#x201d; should be updated to reflect current scientific terminology.</p>
            <p> </p>
            <p> The study is described as stratified, randomized, controlled, and double-blind. However, given that the intervention involves dietary advice to achieve 40g of fiber intake compared to 20g, true double-blinding does not seem feasible. Clarification on how blinding is being implemented would be helpful. Additionally, why was a crossover design not considered, as it might have addressed some of these challenges?</p>
            <p> </p>
            <p> There is confusion regarding the sample size. The power calculation suggests 90 participants per group, but the random allocation section mentions 60 per group. This discrepancy needs to be clarified.</p>
            <p> </p>
            <p> The duration of the intervention is also difficult to determine. It appears to be 180 days for the intervention group, but this information is not presented clearly. Providing a concise summary of the study timeline would improve clarity.</p>
            <p> </p>
            <p> There is limited justification for selecting a 20g difference in fiber intake between groups, as well as for the chosen length of the intervention. It would be useful to know if the research team has previously demonstrated success in increasing dietary fiber intake by 20g, as this can be challenging.</p>
            <p> </p>
            <p> Relying solely on 24-hour dietary recalls to assess compliance is concerning, given the known limitations of this method. Are there any plans to include additional compliance measures?</p>
            <p> </p>
            <p> Lastly, will the composition of dietary fiber (i.e., soluble vs. insoluble) be consistent across participants? The metabolic effects of these fiber types can vary significantly, and this should be addressed.</p>
            <p>Is the study design appropriate for the research question?</p>
            <p>Partly</p>
            <p>Is the rationale for, and objectives of, the study clearly described?</p>
            <p>No</p>
            <p>Are sufficient details of the methods provided to allow replication by others?</p>
            <p>No</p>
            <p>Are the datasets clearly presented in a useable and accessible format?</p>
            <p>No</p>
            <p>Reviewer Expertise:</p>
            <p>Nutrition and carbohydrate research</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-type="response" id="comment13603-357073">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Hebbar</surname>
                            <given-names>Suvarna</given-names>
                        </name>
                        <aff>Clinical Nutrition &amp; Dietetics, Manipal Academy of Higher Education, Manipal, Karnataka, India</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>21</day>
                    <month>3</month>
                    <year>2025</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>1. Clarity in Methods Section (Phase 1 &amp; Phase 2 Separation)</bold>
                </p>
                <p> 
                    <bold>Phase 1</bold>
                </p>
                <p> 
                    <bold>Objective</bold>
                </p>
                <p> The primary aim of Phase 1 is to screen middle-aged overweight and obese women to determine the prevalence of insulin resistance.</p>
                <p> 
                    <bold>Study Setting</bold>
                </p>
                <p> This phase will be conducted in the Outpatient Departments (OPDs) of Medicine, Gynaecology, and Endocrinology at Kasturba Hospital, Manipal.</p>
                <p> 
                    <bold>Sample Size &amp; Selection</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>A total of 500 women will be screened to assess insulin resistance.</p>
                        </list-item>
                        <list-item>
                            <p>Participants will be categorized into two groups: overweight (BMI 23&#x2013;24.9 kg/m&#x00b2;) and obese (BMI &#x2265; 25 kg/m&#x00b2;).</p>
                        </list-item>
                        <list-item>
                            <p>Each group will have at least 166 participants.</p>
                        </list-item>
                    </list> 
                    <bold>Inclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women aged 35&#x2013;55 years.</p>
                        </list-item>
                        <list-item>
                            <p>Willing to provide informed consent.</p>
                        </list-item>
                        <list-item>
                            <p>BMI &#x2265; 23 kg/m&#x00b2;.</p>
                        </list-item>
                    </list> 
                    <bold>Exclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women with conditions affecting nutritional status (e.g., tuberculosis, HIV, cancer, organ failure).</p>
                        </list-item>
                        <list-item>
                            <p>Women diagnosed with type 2 diabetes mellitus.</p>
                        </list-item>
                        <list-item>
                            <p>Individuals with hypertension, thyroid disorders, or any medical condition requiring medications affecting body weight (e.g., thyroxine, diuretics).</p>
                        </list-item>
                        <list-item>
                            <p>Pregnant or lactating women.</p>
                        </list-item>
                        <list-item>
                            <p>Women already on a weight-loss regime or consuming fiber above the recommended dietary allowance.</p>
                        </list-item>
                        <list-item>
                            <p>Women with contraindications for high fiber consumption (e.g., inflammatory bowel disease).</p>
                        </list-item>
                    </list> 
                    <bold>Data Collection Methods</bold>
                </p>
                <p> Participants will undergo a baseline assessment, including: 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>Demographic Information:</bold> Age, education, occupation, income, marital history, place of residence, and family structure.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Anthropometric Measures:</bold> Height, weight, BMI, waist circumference, and hip circumference using standardized tools.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Biochemical Assessments:</bold> 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Fasting blood glucose (hexokinase method).</p>
                                    </list-item>
                                    <list-item>
                                        <p>HbA1c (TINA method).</p>
                                    </list-item>
                                    <list-item>
                                        <p>Serum insulin (ECLIA).</p>
                                    </list-item>
                                    <list-item>
                                        <p>Lipid profile (triglycerides, HDL, LDL, total cholesterol).</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Dietary Assessment</bold>: 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>24-hour dietary recall and food frequency questionnaire analyzed using DietCal version 6.3.</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Physical Activity Assessment</bold>: 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Global Physical Activity Questionnaire (GPAQ).</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Clinical Assessment:</bold> Evaluation of physical symptoms (e.g., bowel movement, satiety, leg pain, backache).</p>
                        </list-item>
                    </list> 
                    <bold>In-Depth Interviews</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>20 participants consuming low fiber (&lt;20g/day) and 20 participants consuming moderate fiber (20-25g/day) will be interviewed telephonically for 45 minutes to assess barriers to fiber intake.</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Phase 2: Randomized Controlled Trial (RCT)</bold>
                </p>
                <p> 
                    <bold>Objective</bold>
                </p>
                <p> To assess the impact of high dietary fiber intake (40g/day) on insulin resistance, body composition, and weight among overweight and obese women.</p>
                <p> 
                    <bold>Study Design</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Randomized, controlled trial.</p>
                        </list-item>
                        <list-item>
                            <p>Stratified Block Randomization (9 blocks of 20 participants each).</p>
                        </list-item>
                        <list-item>
                            <p>180 women will be randomized into: 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Intervention Group (n=90): Receives 40g/day of fiber with dietary counselling.</p>
                                    </list-item>
                                    <list-item>
                                        <p>Control Group (n=90): Receives 25g/day of fiber as part of a standard diet care plan.</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                    </list> 
                    <bold>Inclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women from Phase 1 with abnormal HOMA-IR (&gt;2), indicating insulin resistance.</p>
                        </list-item>
                        <list-item>
                            <p>Willing to adhere to a high-fiber diet if randomized to the intervention group.</p>
                        </list-item>
                    </list> 
                    <bold>Exclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women unwilling to continue participation or adhere to the high-fiber diet.</p>
                        </list-item>
                    </list> 
                    <bold>Intervention &amp; Control Groups</bold>
                </p>
                <p> 
                    <bold>Intervention group </bold>
                </p>
                <p> All women in the intervention arm will be counseled for about 15 minutes, and a customized diet chart consisting of high fiber of 40 grams will be provided. Nutritional empowerment on fiber shall be delivered to each woman enrolled. Necessary dietary advice on the modified diet plan and with a motivation to adhere to the diet plan will be communicated only to the intervention group. After the first counselling, on the 15th day, women will be telephonically assessed on their 24-hour recall dietary intake. On the 30th day, the women will be contacted telephonically again to record their 24-hour recall of their dietary intake. Necessary dietary changes on the modified diet plan will be advised, and motivation to adhere to the diet plan will be continued. On the 60th day, the women will be again telephonically contacted to record their 24-hour recall on their dietary intake, and necessary dietary changes on the modified diet plan will be advised, and motivation to adhere to the diet plan will be continued. On the 90th day, as an outcome-based assessment, women will be called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hr dietary recall, food frequency analyzed using DietCal version 6.3., physical activity data assessed by using GPAQ, body fat is analyzed using body fat analyzer and a questionnaire on patient opinion regarding modified diet plan shall be ass. Necessaryessed as motivation and adherence towards fiber consumption subjects will be communicated telephonically on the 135th day. From the 136th to the 180th day, there shall not be any conversation regarding dietary modifications. On the 180th day, as a compliance-checking, the women will be again called to the hospital for the anthropometric data, biochemical data followed by dietary data .24hr dietary recall, food frequency analyzed using DietCal version 6.3., physical activity data assessed by using GPAQ, body fat analyzed using body fat analyzer and diet compliance on the modified diet plan shall be assessed.</p>
                <p> </p>
                <p> Control group.</p>
                <p> Women in the control arm will get a traditional diet care plan with 25gm of fiber according to their health condition. Necessary dietary advice will be communicated to the control group on the first visit to the hospital. There shall be no telephonic communication with the control group till the 90th day. On the 90th day, as an outcome-based assessment, women will be called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hour dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, and body fat is analyzed using body fat analyzer. On the 180th day, as a compliance-checking, the patient will be again called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hr dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, and body fat is analyzed using body fat analyzer</p>
                <p> </p>
                <p> 
                    <bold>Data Analysis</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Repeated Measures ANOVA will be used to evaluate changes in insulin resistance, body composition, and weight over time.</p>
                        </list-item>
                        <list-item>
                            <p>SPSS v16.0 will be used for statistical analysis.</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Ethical Considerations</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Approval obtained from the Institutional Research Committee and Institutional Ethics Committee (IEC).</p>
                        </list-item>
                        <list-item>
                            <p>Trial registered with the Clinical Trials Registry of India (CTRI/2022/01/039074).</p>
                        </list-item>
                        <list-item>
                            <p>Informed consent was obtained from all participants.</p>
                        </list-item>
                    </list> </p>
                <p> </p>
                <p> CONTROL ARM</p>
                <p> </p>
                <p> Day 1</p>
                <p> </p>
                <p> Traditional/standard care</p>
                <p> (patient will be called to OPD)</p>
                <p> </p>
                <p> Day 15</p>
                <p> Nil</p>
                <p> </p>
                <p> Day 30</p>
                <p> Nil</p>
                <p> </p>
                <p> Day 60</p>
                <p> Nil</p>
                <p> </p>
                <p> Day 90</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24hr recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyzer:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> INTERVENTION ARM</p>
                <p> </p>
                <p> Day 1</p>
                <p> </p>
                <p> Intervention</p>
                <p> (patient will be called to OPD)</p>
                <p> </p>
                <p> Customize the individual-specific diet plan</p>
                <p> Nutritional counseling</p>
                <p> Impart nutritional empowerment on fiber consumption</p>
                <p> Handover of diet plan</p>
                <p> </p>
                <p> Day 15</p>
                <p> </p>
                <p> Reinforcement</p>
                <p> (through telephone)</p>
                <p> </p>
                <p> Tool 2: 24hr recall</p>
                <p> Tool 3: GPAQ</p>
                <p> Modification of diet plan (if required)</p>
                <p> Motivate to adhere to the intervention</p>
                <p> </p>
                <p> </p>
                <p> Day 30</p>
                <p> </p>
                <p> Tool 2: 24hr recall</p>
                <p> Tool 3: GPAQ</p>
                <p> Modification of diet plan (if required)</p>
                <p> Motivate to adhere to the intervention</p>
                <p> </p>
                <p> </p>
                <p> Day 60</p>
                <p> </p>
                <p> Tool 2: 24hr recall</p>
                <p> Tool 3: GPAQ</p>
                <p> Modification of diet plan (if required)</p>
                <p> Motivate to adhere to the intervention</p>
                <p> </p>
                <p> Day 90</p>
                <p> </p>
                <p> Outcome assessment</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24-hour recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> Tool 4: Clinical assessment scale</p>
                <p> Tool 5: Patient opinion on a modified diet</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyzer:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> Day 135</p>
                <p> </p>
                <p> Reinforcement (through telephone)</p>
                <p> </p>
                <p> Motivation to follow a customized diet plan</p>
                <p> </p>
                <p> </p>
                <p> Day 180</p>
                <p> </p>
                <p> Checking compliance</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24-hour recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> Tool 4: Clinical assessment scale</p>
                <p> Tool 5: Compliance checklist</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyzer:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> Day 135</p>
                <p> Nil</p>
                <p> </p>
                <p> Day180</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24hr recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyser:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> 
                    <bold>3. Rationale for Sex-Specific Differences and Justification for a Single-Sex Study</bold>
                </p>
                <p> This study is specifically designed for women&#x2019;s health, as obesity and insulin resistance present distinct physiological and hormonal influences in females. The decision to focus on middle-aged women was based on prior evidence suggesting unique metabolic responses to dietary interventions in this demographic. &#x00a0;</p>
                <p> 
                    <bold>L&#x00f3;pez, M. et al. (2016) - "Menopause, obesity, and insulin resistance: An emerging paradigm"</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>This study specifically explores the impact of menopause on metabolic health, highlighting the increased risk of insulin resistance and obesity in women as they transition through menopause. It aligns with your focus on middle-aged women and the unique metabolic responses they experience.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Reference</bold>: L&#x00f3;pez, M. et al. "Menopause, obesity, and insulin resistance: An emerging paradigm." 
                                <italic>Endocrinology</italic> (2016).</p>
                        </list-item>
                    </list> Van
                    <bold> Der Steeg, W. et al. (2010) - "Sex differences in insulin resistance in obesity"</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>This study investigates how hormonal factors, especially estrogen, affect insulin resistance and fat distribution differently in women, providing key insights into the sex-specific mechanisms that make middle-aged women particularly vulnerable to obesity and metabolic disorders.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Reference</bold>: Van Der Steeg, W. et al. "Sex differences in insulin resistance in obesity." 
                                <italic>Obesity Reviews</italic> (2010).</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>4. Updating Scientific Terminology in the Background Section</bold>
                </p>
                <p> We appreciate the suggestion regarding outdated terminology. The term "roughage" and other obsolete language will be revised to align with current scientific terminology.</p>
                <p> 
                    <bold>5. Clarification on Double-Blinding and Study Design</bold>
                </p>
                <p> There was an error in the original study design description. This study is 
                    <bold>not</bold> a double-blind study but rather an 
                    <bold>open-ended</bold> study. This design was chosen to facilitate a deeper understanding of the real-world effects of dietary interventions on obesity and insulin resistance in middle-aged women, where factors like adherence to the intervention and participant feedback play an essential role in the analysis.</p>
                <p> </p>
                <p> 
                    <bold>6. Sample Size Discrepancy</bold>
                </p>
                <p> The final sample size of 
                    <bold>180 participants (90 per group)</bold> was determined based on power calculations for insulin resistance and BMI, accounting for a 
                    <bold>15% dropout rate</bold>. To ensure appropriate representation, participants were stratified based on the prevalence of obesity and overweight, maintaining a 
                    <bold>2:1 ratio</bold>, with a higher proportion of obese individuals, as obesity is more prevalent in the target population.</p>
                <p> </p>
                <p> 
                    <bold>7. Clarification of Study Duration</bold>
                </p>
                <p> The total duration of the intervention is 180 days (6 months) for the intervention group, with structured follow-ups to ensure adherence and assess outcomes. Participants receive customized dietary counseling on Day 1, followed by reinforcement sessions via telephone on Days 15, 30, and 60 to monitor compliance and provide necessary modifications. Outcome assessments are conducted on Day 90 and Day 180, where anthropometric, biochemical, and dietary data are collected. A motivational follow-up is done on Day 135 to encourage continued adherence. The control group follows the same assessment schedule but does not receive interim dietary modifications. This structured timeline ensures a comprehensive evaluation of the intervention&#x2019;s impact while maintaining participant engagement.</p>
                <p> </p>
                <p> 
                    <bold>8. Justification for the 20g Fiber Difference and Study Duration</bold>
                </p>
                <p> The 20g difference in fiber intake between groups was selected based on existing dietary recommendations and evidence supporting its impact on weight management and metabolic health. The intervention group receives 40g of fiber per 2000 kcal, aligning with the Indian Council of Medical Research (ICMR) and National Institute of Nutrition (NIN) guidelines. In contrast, the control group follows a standard 25g fiber intake. This difference ensures a meaningful contrast while remaining practical for adherence.</p>
                <p> The 180-day (6-month) intervention period was chosen to allow sufficient time for stabilizing dietary habits and for metabolic changes, such as improvements in insulin resistance and body composition, to be observed. The feasibility of increasing dietary fiber intake by 20g has been supported by our preliminary observational study (2019), which assessed fiber intake and obesity among 564 women. This study highlighted a significant negative correlation between fiber intake and BMI, reinforcing the need for a structured dietary intervention to promote increased fiber consumption.</p>
                <p> </p>
                <p> </p>
                <p> 
                    <bold>9. Addressing Compliance Assessment Concerns</bold>
                </p>
                <p> Compliance assessment in this study is not solely based on 24-hour dietary recall; multiple tools are incorporated to ensure accuracy and reliability. In addition to the 24-hour recall and food frequency questionnaire, a compliance checklist is used to track adherence to the prescribed dietary plan. Furthermore, patient opinions on the modified diet are collected to assess acceptability and feasibility. Regular reinforcement sessions (via telephone on Days 15, 30, and 60) further help monitor compliance and address challenges.</p>
                <p> </p>
                <p> </p>
                <p> 
                    <bold>10. Consistency in Fiber Composition (Soluble vs. Insoluble)</bold>
                </p>
                <p> The study ensures 
                    <bold>consistency in dietary fiber composition</bold> across participants by providing a structured, 
                    <bold>customized diet plan</bold> that proportions soluble and insoluble fiber appropriately. The dietary sources primarily include 
                    <bold>whole grains, legumes, vegetables, and fruits</bold>, providing a balanced fiber mix. While the metabolic effects of soluble and insoluble fiber can vary, the intervention is designed to reflect a 
                    <bold>realistic, well-balanced dietary intake</bold>, aligning with established dietary guidelines. This approach ensures that all participants receive a comparable fiber composition, minimizing variability in metabolic responses while maintaining dietary feasibility.</p>
            </body>
        </sub-article>
        <sub-article article-type="response" id="comment14712-357073">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Hebbar</surname>
                            <given-names>Suvarna</given-names>
                        </name>
                        <aff>Clinical Nutrition &amp; Dietetics, Manipal Academy of Higher Education, Manipal, Karnataka, India</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>3</day>
                    <month>10</month>
                    <year>2025</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>. Clarity in Methods Section (Phase 1 &amp; Phase 2 Separation)</bold>
                </p>
                <p> 
                    <bold>Phase 1</bold>
                </p>
                <p> 
                    <bold>Objective</bold>
                </p>
                <p> The primary aim of Phase 1 is to screen middle-aged overweight and obese women to determine the prevalence of insulin resistance.</p>
                <p> 
                    <bold>Study Setting</bold>
                </p>
                <p> This phase will be conducted in the Outpatient Departments (OPDs) of Medicine, Gynaecology, and Endocrinology at Kasturba Hospital, Manipal.</p>
                <p> 
                    <bold>Sample Size &amp; Selection</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>A total of 500 women will be screened to assess insulin resistance.</p>
                        </list-item>
                        <list-item>
                            <p>Participants will be categorized into two groups: overweight (BMI 23&#x2013;24.9 kg/m&#x00b2;) and obese (BMI &#x2265; 25 kg/m&#x00b2;).</p>
                        </list-item>
                        <list-item>
                            <p>Each group will have at least 166 participants.</p>
                        </list-item>
                    </list> 
                    <bold>Inclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women aged 35&#x2013;55 years.</p>
                        </list-item>
                        <list-item>
                            <p>Willing to provide informed consent.</p>
                        </list-item>
                        <list-item>
                            <p>BMI &#x2265; 23 kg/m&#x00b2;.</p>
                        </list-item>
                    </list> 
                    <bold>Exclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women with conditions affecting nutritional status (e.g., tuberculosis, HIV, cancer, organ failure).</p>
                        </list-item>
                        <list-item>
                            <p>Women diagnosed with type 2 diabetes mellitus.</p>
                        </list-item>
                        <list-item>
                            <p>Individuals with hypertension, thyroid disorders, or any medical condition requiring medications affecting body weight (e.g., thyroxine, diuretics).</p>
                        </list-item>
                        <list-item>
                            <p>Pregnant or lactating women.</p>
                        </list-item>
                        <list-item>
                            <p>Women already on a weight-loss regime or consuming fiber above the recommended dietary allowance.</p>
                        </list-item>
                        <list-item>
                            <p>Women with contraindications for high fiber consumption (e.g., inflammatory bowel disease).</p>
                        </list-item>
                    </list> 
                    <bold>Data Collection Methods</bold>
                </p>
                <p> Participants will undergo a baseline assessment, including: 
                    <list list-type="order">
                        <list-item>
                            <p>
                                <bold>Demographic Information:</bold> Age, education, occupation, income, marital history, place of residence, and family structure.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Anthropometric Measures:</bold> Height, weight, BMI, waist circumference, and hip circumference using standardized tools.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Biochemical Assessments:</bold> 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Fasting blood glucose (hexokinase method).</p>
                                    </list-item>
                                    <list-item>
                                        <p>HbA1c (TINA method).</p>
                                    </list-item>
                                    <list-item>
                                        <p>Serum insulin (ECLIA).</p>
                                    </list-item>
                                    <list-item>
                                        <p>Lipid profile (triglycerides, HDL, LDL, total cholesterol).</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Dietary Assessment</bold>: 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>24-hour dietary recall and food frequency questionnaire analyzed using DietCal version 6.3.</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Physical Activity Assessment</bold>: 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Global Physical Activity Questionnaire (GPAQ).</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Clinical Assessment:</bold> Evaluation of physical symptoms (e.g., bowel movement, satiety, leg pain, backache).</p>
                        </list-item>
                    </list> 
                    <bold>In-Depth Interviews</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>20 participants consuming low fiber (&lt;20g/day) and 20 participants consuming moderate fiber (20-25g/day) will be interviewed telephonically for 45 minutes to assess barriers to fiber intake.</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Phase 2: Randomized Controlled Trial (RCT)</bold>
                </p>
                <p> 
                    <bold>Objective</bold>
                </p>
                <p> To assess the impact of high dietary fiber intake (40g/day) on insulin resistance, body composition, and weight among overweight and obese women.</p>
                <p> 
                    <bold>Study Design</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Randomized, controlled trial.</p>
                        </list-item>
                        <list-item>
                            <p>Stratified Block Randomization (9 blocks of 20 participants each).</p>
                        </list-item>
                        <list-item>
                            <p>180 women will be randomized into: 
                                <list list-type="bullet">
                                    <list-item>
                                        <p>Intervention Group (n=90): Receives 40g/day of fiber with dietary counselling.</p>
                                    </list-item>
                                    <list-item>
                                        <p>Control Group (n=90): Receives 25g/day of fiber as part of a standard diet care plan.</p>
                                    </list-item>
                                </list> </p>
                        </list-item>
                    </list> 
                    <bold>Inclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women from Phase 1 with abnormal HOMA-IR (&gt;2), indicating insulin resistance.</p>
                        </list-item>
                        <list-item>
                            <p>Willing to adhere to a high-fiber diet if randomized to the intervention group.</p>
                        </list-item>
                    </list> 
                    <bold>Exclusion Criteria</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Women unwilling to continue participation or adhere to the high-fiber diet.</p>
                        </list-item>
                    </list> 
                    <bold>Intervention &amp; Control Groups</bold>
                </p>
                <p> 
                    <bold>Intervention group </bold>
                </p>
                <p> All women in the intervention arm will be counseled for about 15 minutes, and a customized diet chart consisting of high fiber of 40 grams will be provided. Nutritional empowerment on fiber shall be delivered to each woman enrolled. Necessary dietary advice on the modified diet plan and with a motivation to adhere to the diet plan will be communicated only to the intervention group. After the first counselling, on the 15th day, women will be telephonically assessed on their 24-hour recall dietary intake. On the 30th day, the women will be contacted telephonically again to record their 24-hour recall of their dietary intake. Necessary dietary changes on the modified diet plan will be advised, and motivation to adhere to the diet plan will be continued. On the 60th day, the women will be again telephonically contacted to record their 24-hour recall on their dietary intake, and necessary dietary changes on the modified diet plan will be advised, and motivation to adhere to the diet plan will be continued. On the 90th day, as an outcome-based assessment, women will be called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hr dietary recall, food frequency analyzed using DietCal version 6.3., physical activity data assessed by using GPAQ, body fat is analyzed using body fat analyzer and a questionnaire on patient opinion regarding modified diet plan shall be assessed as motivation and adherence towards fiber consumption subjects will be communicated telephonically on the 135th day. From the 136th to the 180th day, there shall not be any conversation regarding dietary modifications. On the 180th day, as a compliance-checking, the women will be again called to the hospital for the anthropometric data, biochemical data followed by dietary data .24hr dietary recall, food frequency analyzed using DietCal version 6.3., physical activity data assessed by using GPAQ, body fat analyzed using body fat analyzer and diet compliance on the modified diet plan shall be assessed.</p>
                <p> </p>
                <p> Control group.</p>
                <p> Women in the control arm will get a traditional diet care plan with 25gm of fiber according to their health condition. Necessary dietary advice will be communicated to the control group on the first visit to the hospital. There shall be no telephonic communication with the control group till the 90th day. On the 90th day, as an outcome-based assessment, women will be called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hour dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, and body fat is analyzed using body fat analyzer. On the 180th day, as a compliance-checking, the patient will be again called to the hospital for the anthropometric data, biochemical data followed by dietary data, a 24-hr dietary recall, food frequency analyzed using DietCal version 6.3, physical activity data assessed by using GPAQ, and body fat is analyzed using body fat analyzer</p>
                <p> </p>
                <p> 
                    <bold>Data Analysis</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Repeated Measures ANOVA will be used to evaluate changes in insulin resistance, body composition, and weight over time.</p>
                        </list-item>
                        <list-item>
                            <p>SPSS v16.0 will be used for statistical analysis.</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>Ethical Considerations</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>Approval obtained from the Institutional Research Committee and Institutional Ethics Committee (IEC).</p>
                        </list-item>
                        <list-item>
                            <p>Trial registered with the Clinical Trials Registry of India (CTRI/2022/01/039074).</p>
                        </list-item>
                        <list-item>
                            <p>Informed consent was obtained from all participants.</p>
                        </list-item>
                    </list> </p>
                <p> </p>
                <p> CONTROL ARM</p>
                <p> </p>
                <p> Day 1</p>
                <p> </p>
                <p> Traditional/standard care</p>
                <p> (patient will be called to OPD)</p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> Day 15</p>
                <p> Nil</p>
                <p> </p>
                <p> Day 30</p>
                <p> Nil</p>
                <p> </p>
                <p> Day 60</p>
                <p> Nil</p>
                <p> </p>
                <p> Day 90</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24hr recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyzer:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> INTERVENTION ARM</p>
                <p> </p>
                <p> Day 1</p>
                <p> </p>
                <p> Intervention</p>
                <p> (patient will be called to OPD)</p>
                <p> </p>
                <p> Customize the individual-specific diet plan</p>
                <p> Nutritional counseling</p>
                <p> Impart nutritional empowerment on fiber consumption</p>
                <p> Handover of diet plan</p>
                <p> </p>
                <p> Day 15</p>
                <p> </p>
                <p> Reinforcement</p>
                <p> (through telephone)</p>
                <p> </p>
                <p> Tool 2: 24hr recall</p>
                <p> Tool 3: GPAQ</p>
                <p> Modification of diet plan (if required)</p>
                <p> Motivate to adhere to the intervention</p>
                <p> </p>
                <p> </p>
                <p> Day 30</p>
                <p> </p>
                <p> Tool 2: 24hr recall</p>
                <p> Tool 3: GPAQ</p>
                <p> Modification of diet plan (if required)</p>
                <p> Motivate to adhere to the intervention</p>
                <p> </p>
                <p> </p>
                <p> Day 60</p>
                <p> </p>
                <p> Tool 2: 24hr recall</p>
                <p> Tool 3: GPAQ</p>
                <p> Modification of diet plan (if required)</p>
                <p> Motivate to adhere to the intervention</p>
                <p> </p>
                <p> Day 90</p>
                <p> </p>
                <p> Outcome assessment</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24-hour recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> Tool 4: Clinical assessment scale</p>
                <p> Tool 5: Patient opinion on a modified diet</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyzer:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> Day 135</p>
                <p> </p>
                <p> Reinforcement (through telephone)</p>
                <p> </p>
                <p> Motivation to follow customised diet plan</p>
                <p> </p>
                <p> </p>
                <p> Day 180</p>
                <p> </p>
                <p> Checking compliance</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24hr recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> Tool 4: Clinical assessment scale</p>
                <p> Tool 5: Compliance checklist</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyser:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> Day 135</p>
                <p> Nil</p>
                <p> </p>
                <p> Day180</p>
                <p> (patient will be called to OPD)</p>
                <p> 
                    <bold>Basic data:</bold>
                </p>
                <p> Tool 2: 24hr recall and food frequency</p>
                <p> Tool 3: GPAQ</p>
                <p> 
                    <bold>Biochemical parameters:</bold>
                </p>
                <p> FBS, HbA1c, Sr. Insulin and lipid profile</p>
                <p> 
                    <bold>Body fat analyser:</bold>
                </p>
                <p> Visceral fat, S/C fat, muscle mass</p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> </p>
                <p> 
                    <bold>3. Rationale for Sex-Specific Differences and Justification for a Single-Sex Study</bold>
                </p>
                <p> This study is specifically designed for women&#x2019;s health, as obesity and insulin resistance present distinct physiological and hormonal influences in females. The decision to focus on middle-aged women was based on prior evidence suggesting unique metabolic responses to dietary interventions in this demographic. &#x00a0;</p>
                <p> 
                    <bold>L&#x00f3;pez, M. et al. (2016) - "Menopause, obesity, and insulin resistance: An emerging paradigm"</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>This study specifically explores the impact of menopause on metabolic health, highlighting the increased risk of insulin resistance and obesity in women as they transition through menopause. It aligns with your focus on middle-aged women and the unique metabolic responses they experience.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Reference</bold>: L&#x00f3;pez, M. et al. "Menopause, obesity, and insulin resistance: An emerging paradigm." 
                                <italic>Endocrinology</italic> (2016).</p>
                        </list-item>
                    </list> Van
                    <bold> Der Steeg, W. et al. (2010) - "Sex differences in insulin resistance in obesity"</bold> 
                    <list list-type="bullet">
                        <list-item>
                            <p>This study investigates how hormonal factors, especially estrogen, affect insulin resistance and fat distribution differently in women, providing key insights into the sex-specific mechanisms that make middle-aged women particularly vulnerable to obesity and metabolic disorders.</p>
                        </list-item>
                        <list-item>
                            <p>
                                <bold>Reference</bold>: Van Der Steeg, W. et al. "Sex differences in insulin resistance in obesity." 
                                <italic>Obesity Reviews</italic> (2010).</p>
                        </list-item>
                    </list> </p>
                <p> 
                    <bold>4. Updating Scientific Terminology in the Background Section</bold>
                </p>
                <p> We appreciate the suggestion regarding outdated terminology. The term "roughage" and other obsolete language will be revised to align with current scientific terminology.</p>
                <p> 
                    <bold>5. Clarification on Double-Blinding and Study Design</bold>
                </p>
                <p> There was an error in the original study design description. This study is 
                    <bold>not</bold> a double-blind study but rather an 
                    <bold>open-ended</bold> study. This design was chosen to facilitate a deeper understanding of the real-world effects of dietary interventions on obesity and insulin resistance in middle-aged women, where factors like adherence to the intervention and participant feedback play an important role in the analysis.</p>
                <p> </p>
                <p> 
                    <bold>6. Sample Size Discrepancy</bold>
                </p>
                <p> The final sample size of 
                    <bold>180 participants (90 per group)</bold> was determined based on power calculations for insulin resistance and BMI, accounting for a 
                    <bold>15% dropout rate</bold>. To ensure appropriate representation, participants were stratified based on the prevalence of obesity and overweight, maintaining a 
                    <bold>2:1 ratio</bold>, with a higher proportion of obese individuals, as obesity is more prevalent in the target population.</p>
                <p> </p>
                <p> 
                    <bold>7. Clarification of Study Duration</bold>
                </p>
                <p> The total duration of the intervention is 180 days (6 months) for the intervention group, with structured follow-ups to ensure adherence and assess outcomes. Participants receive customized dietary counseling on Day 1, followed by reinforcement sessions via telephone on Days 15, 30, and 60 to monitor compliance and provide necessary modifications. Outcome assessments are conducted on Day 90 and Day 180, where anthropometric, biochemical, and dietary data are collected. A motivational follow-up is done on Day 135 to encourage continued adherence. The control group follows the same assessment schedule but does not receive interim dietary modifications. This structured timeline ensures a comprehensive evaluation of the intervention&#x2019;s impact while maintaining participant engagement.</p>
                <p> </p>
                <p> 
                    <bold>8. Justification for the 20g Fiber Difference and Study Duration</bold>
                </p>
                <p> The 20g difference in fiber intake between groups was selected based on existing dietary recommendations and evidence supporting its impact on weight management and metabolic health. The intervention group receives 40g of fiber per 2000 kcal, aligning with the Indian Council of Medical Research (ICMR) and National Institute of Nutrition (NIN) guidelines. In contrast, the control group follows a standard 25g fiber intake. This difference ensures a meaningful contrast while remaining practical for adherence.</p>
                <p> The 180-day (6-month) intervention period was chosen to allow sufficient time for stabilizing dietary habits and for metabolic changes, such as improvements in insulin resistance and body composition, to be observed. The feasibility of increasing dietary fiber intake by 20g has been supported by our preliminary observational study (2019), which assessed fiber intake and obesity among 564 women. This study highlighted a significant negative correlation between fiber intake and BMI, reinforcing the need for a structured dietary intervention to promote increased fiber consumption.</p>
                <p> </p>
                <p> </p>
                <p> 
                    <bold>9. Addressing Compliance Assessment Concerns</bold>
                </p>
                <p> Compliance assessment in this study is not solely based on 24-hour dietary recall; multiple tools are incorporated to ensure accuracy and reliability. In addition to the 24-hour recall and food frequency questionnaire, a compliance checklist is used to track adherence to the prescribed dietary plan. Furthermore, patient opinions on the modified diet are collected to assess acceptability and feasibility. Regular reinforcement sessions (via telephone on Days 15, 30, and 60) further help monitor compliance and address challenges.</p>
                <p> </p>
                <p> </p>
                <p> 
                    <bold>10. Consistency in Fiber Composition (Soluble vs. Insoluble)</bold>
                </p>
                <p> The study ensures 
                    <bold>consistency in dietary fiber composition</bold> across participants by providing a structured, 
                    <bold>customized diet plan</bold> that appropriately proportions soluble and insoluble fiber. The dietary sources primarily include 
                    <bold>whole grains, legumes, vegetables, and fruits</bold>, providing a balanced fiber mix. While the metabolic effects of soluble and insoluble fiber can vary, the intervention is designed to reflect a 
                    <bold>realistic, well-balanced dietary intake</bold>, aligning with established dietary guidelines. This approach ensures that all participants receive a comparable fiber composition, minimizing variability in metabolic responses while maintaining dietary feasibility.</p>
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