<?xml version="1.0" encoding="utf-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD Journal Publishing DTD v2.3 20070202//EN" "journalpublishing.dtd">
<?covid-19-tdm?>
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="2.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2024.1396598</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Sugary snack restriction enhances body composition improvement in overweight women engaging in non-face-to-face walking during COVID-19</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Lee</surname> <given-names>Youngjun</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2602047/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Kim</surname> <given-names>Nahyun</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2674904/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author"><name><surname>Go</surname> <given-names>Seunghwan</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2676951/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Kim</surname> <given-names>Jisu</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1434893/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Park</surname> <given-names>Jonghoon</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1247782/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/resources/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Physical Activity in Youth with Disabilities Laboratory, Department of Kinesiology, Michigan State University</institution>, <addr-line>East Lansing, MI</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Exercise Nutrition and Biochemistry Laboratory, Department of Physical Education, Korea University</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Sports Medicine and Science in Graduate School, Konkuk University</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country></aff>
<aff id="aff4"><sup>4</sup><institution>Physical Activity and Performance Institute, Konkuk University</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Rub&#x00E9;n Fern&#x00E1;ndez-Rodr&#x00ED;guez, University of Castilla La Mancha, Spain</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Aureliusz Kosendiak, Wroclaw Medical University, Poland</p>
<p>Yi Sub Kwak, Dong-Eui University, Republic of Korea</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Jisu Kim, <email>kimpro@konkuk.ac.kr</email>; Jonghoon Park, <email>jonghoonp@korea.ac.kr</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>03</day>
<month>06</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>12</volume>
<elocation-id>1396598</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>05</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2024 Lee, Kim, Go, Kim and Park.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Lee, Kim, Go, Kim and Park</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Introduction</title>
<p>This study assesses the impact of dietary modification, specifically sugary snack restriction, in conjunction with a brisk walking program on overweight management in young overweight women, with a focus on changes in body composition and glucose metabolism.</p>
</sec>
<sec id="sec2">
<title>Method</title>
<p>An 8-week randomized controlled trial was conducted amidst the COVID-19 pandemic, utilizing a remote intervention approach to comply with health guidelines and ensure participant safety. The study&#x2019;s remote nature highlights adaptability in health interventions during challenging periods, such as the COVID-19 pandemic. Twenty-one overweight Korean women aged 20&#x2013;39, with an average BMI of 24.6, were selected for the study. They were divided into two groups: one engaging in brisk walking and the other combining this exercise with a sugary snack restriction, demonstrating the study&#x2019;s focus on comparative intervention efficacy.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The exercise-only group showed notable reductions in glucose, insulin, HOMA-IR (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), and total cholesterol levels (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). In contrast, the group that combined exercise with dietary modification displayed more pronounced improvements in body weight, fat mass, and waist circumference (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). This differential outcome emphasizes the added benefit of integrating dietary control with physical activity.</p>
</sec>
<sec id="sec4">
<title>Discussion</title>
<p>The findings suggest that adding a dietary component, particularly a sugary snack restriction, to an exercise regimen can significantly enhance the effectiveness of overweight management in young women. This study underscores the importance of holistic lifestyle interventions that combine dietary and physical activity modifications for improved health outcomes.</p>
</sec>
</abstract>
<kwd-group>
<kwd>sugar</kwd>
<kwd>exercise</kwd>
<kwd>walking</kwd>
<kwd>body composition</kwd>
<kwd>glucose metabolism</kwd>
<kwd>overweight</kwd>
<kwd>young women</kwd>
<kwd>COVID-19</kwd>
</kwd-group>
<contract-num rid="cn1">KSSO202103</contract-num>
<contract-sponsor id="cn1">Korean Society for the Study of Obesity (KSSO)</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="4"/>
<equation-count count="1"/>
<ref-count count="43"/>
<page-count count="11"/>
<word-count count="7773"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health and Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5"><label>1</label>
<title>Introduction</title>
<p>Household configurations are experiencing rapid transformations attributed to the erosion of traditional family structures, a growing prevalence of individuals opting for single or nuclear family arrangements, and societal shifts, including advancements in women&#x2019;s economic empowerment (<xref ref-type="bibr" rid="ref1">1</xref>). According to recent findings from Statistics Korea, the incidence of single-person households in Korea has almost doubled, surging from 15.5% in 2000 to 29.9% in 2019, establishing it as the predominant family structure in the nation. Furthermore, projections indicate that single-person households are poised to constitute 37.7% of the total by 2047, with the sharpest growth rate observed among countries within the Organization for Economic Co-operation and Development. Particularly noteworthy is the pronounced rise among young adults aged 20&#x2013;39, with a substantial increase in the number of women residing in single-person households (<xref ref-type="bibr" rid="ref2">2</xref>). Single-person households have been linked to reduced physical activity and unhealthy dietary habits, heightening the risk of obesity in comparison to multi-person households (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). Research on the general adult population in Korea indicates that individuals living alone tend to consume a higher proportion of energy from fats and a lower intake from carbohydrates and plant proteins (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref6">6</xref>). This dietary pattern is associated with an increased risk of metabolic syndrome and obesity (<xref ref-type="bibr" rid="ref6">6</xref>). Notably, single-person households in metropolitan areas in Korea exhibited a higher tendency to skip breakfast and experience food insecurity, factors that are linked to an increased risk of metabolic abnormalities such as obesity (<xref ref-type="bibr" rid="ref7">7</xref>). Moreover, single-person households represent a vulnerable demographic at an elevated risk of social isolation, exacerbated by infectious diseases such as COVID-19 and subsequent social distancing measures. Such isolation often correlates with higher levels of stress and a lack of motivation, which can lead to coping strategies that include the increased consumption of sugary snacks and beverages (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). These dietary choices, driven by emotional responses rather than nutritional needs, further compound the risk of metabolic abnormalities and obesity. Under these circumstances, the implementation of non-face-to-face intervention programs becomes imperative to address the multifaceted contributors to overweight within single-person households.</p>
<p>Epidemiological evidence, coupled with plausible mechanisms and clinical data derived from dietary intervention studies, strongly substantiates a direct causative link between sugar intake and metabolic diseases (<xref ref-type="bibr" rid="ref10">10</xref>). Particularly, sugar-rich snacks and beverages represent prominent sources of added sugars in our dietary patterns. In a cross-sectional study encompassing 1,487 adults, there was a positive correlation observed between the consumption of sugary snacks and both body mass index (BMI) and waist circumference (WC) (<xref ref-type="bibr" rid="ref11">11</xref>). Additionally, among overweight individuals aged 20&#x2013;50&#x2009;years, a 10-week intervention featuring a high sucrose intake (comprising 28% of total energy consumption), primarily through beverages, resulted in increased energy intake, body weight, and fat mass (<xref ref-type="bibr" rid="ref12">12</xref>). The adverse impact of sugar-rich beverages on the development of obesity may be attributed to their ability to induce rapid and substantial elevations in blood glucose and insulin levels (<xref ref-type="bibr" rid="ref12">12</xref>). Conversely, substituting sugar-sweetened beverages with either artificially sweetened or unsweetened alternatives over 12&#x2009;months led to a reduction in body weight among individuals with central adiposity (<xref ref-type="bibr" rid="ref11">11</xref>). The greater weight and fat loss observed in response to a low-sugar diet could be linked to a decrease in the secretion of leptin, an appetite-suppressing hormone (<xref ref-type="bibr" rid="ref11">11</xref>). This reduction in leptin levels stimulates osteoblasts in the bone through brain signaling, ultimately augmenting the secretion of uncarboxylated osteocalcin (ucOC), a hormone released by bone tissue that is associated with anti-diabetic and anti-obesity effects (<xref ref-type="bibr" rid="ref13">13</xref>). Consequently, limiting the consumption of sugary beverages can assist individuals in adopting healthier dietary patterns and maintaining a healthy body weight (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>Brisk walking is a frequently adopted exercise regimen among adults aiming to control their body weight (<xref ref-type="bibr" rid="ref16">16</xref>). In the case of overweight adults, engaging in brisk walking interventions carries a minimal risk of injury while proving highly effective in achieving weight loss and mitigating the risk of metabolic conditions, including diabetes (<xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref18">18</xref>). A systematic review and meta-analysis have indicated that brisk walking can efficiently reduce body weight, waist circumference, and fat mass in individuals below 50&#x2009;years of age who are dealing with obesity (<xref ref-type="bibr" rid="ref19">19</xref>). Furthermore, moderate-intensity exercise has been demonstrated to stimulate the secretion of osteocalcin (OC), potentially contributing to an amelioration in serum glucose levels (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>).</p>
<p>The rationale for focusing on women specifically lies in the unique metabolic and hormonal differences that influence how they process, and store fat compared to men. Women tend to have a higher percentage of body fat and different fat distribution patterns, which are influenced by hormonal fluctuations related to the menstrual cycle, pregnancy, and menopause (<xref ref-type="bibr" rid="ref22">22</xref>). These factors can affect energy balance and the risk of developing metabolic disorders. Furthermore, women, particularly those living alone, may experience higher level of stress and emotional eating, leading to increased consumption of sugary snacks and beverages as coping mechanisms (<xref ref-type="bibr" rid="ref23">23</xref>). By addressing these specific needs, our study aims to provide tailored interventions that can more effectively support women in managing their weight and improving metabolic health. Previous research has highlighted the success of gender-specific approaches in dietary and exercise interventions, suggesting that such strategies can yield better outcomes by considering the unique physiological and psychological needs of women (<xref ref-type="bibr" rid="ref24 ref25 ref26">24&#x2013;26</xref>).</p>
<p>To the best of our understanding, there has been no prior exploration into whether implementing a management program focused on restricting sugar-rich snacks and beverages could augment the benefits of a brisk walking exercise regimen on metabolic outcomes within overweight populations. This study comes at a critical time when the demand and need for effective lifestyle programs are on the rise for overweight management in Korea, reflecting a growing public health concern (<xref ref-type="bibr" rid="ref27">27</xref>). Consequently, this study aims to examine the impact of limiting sugar-rich snacks and beverages on glucose metabolism markers and body composition among young women who are overweight and engaging in a non-face-to-face brisk walking program during the COVID-19 pandemic.</p>
</sec>
<sec sec-type="materials|methods" id="sec6"><label>2</label>
<title>Materials and methods</title>
<sec id="sec7"><label>2.1</label>
<title>Subjects</title>
<p>We recruited participants through flyer advertisements and social media over 1 week from March 22 to March 28, 2021. Volunteers (<italic>n</italic>&#x2009;=&#x2009;40) expressed willingness to participate in this study and were screened by the research investigators. The sample size of the study population was determined using power analysis with the G-power 3.1 program, setting the significance level at below 0.05, power at 80%, and effect size at 0.05. The inclusion criteria for the study are as follows: (1) Participants must be female; (2) They must be a Korean nationality; (3) They should be aged between 20 and 39&#x2009;years; (4) Participants need to have a BMI of at least 23&#x2009;kg/m<sup>2</sup>, categorizing them as overweight according to World Health Organization standards for Asian populations; (5) They must possess a body fat percentage of 30% or higher; (6) They should be capable of undergoing brisk walking. These criteria were chosen based on previous studies indicating higher health risks and potential benefits from interventions in these groups (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>). The exclusion criteria include: (1) Participants with menstrual irregularities or amenorrhea, to control for hormonal influences that could affect the study&#x2019;s outcomes; (2) Those suffering from any systemic diseases like diabetes or chronic heart conditions, to avoid acute health fluctuations; (3) Those on medication for metabolic diseases such as insulin, to eliminate the effects of such medications on metabolic outcomes; (4) Participants who regularly engage in exercise, defined as more than 150&#x2009;min of moderate exercise per week, to focus on less active individuals. After screening and application of inclusion and exclusion criteria, 24 eligible participants were selected for inclusion in the study. These participants were then allocated into one of two intervention groups using a stratified randomization approach to balance the groups based on key demographic and baseline health characteristics (age, height, BMI, and body fat percentage, WC). This randomization was facilitated by a computerized random number generator software, which assigned participants to either the exercise and control (ExC; <italic>n</italic>&#x2009;=&#x2009;13) or exercise and nutrition (ExN; <italic>n</italic>&#x2009;=&#x2009;11) groups. The use of this software ensured that the allocation process was unbiased and that the assignment to the intervention groups was completely random. Participant characteristics are shown in <xref ref-type="table" rid="tab1">Table 1</xref>.</p>
<table-wrap position="float" id="tab1"><label>Table 1</label>
<caption>
<p>Descriptive characteristics of the participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Variables</th>
<th align="center" valign="middle" colspan="2">Exercise and control (<italic>n</italic>&#x2009;=&#x2009;13)</th>
<th align="center" valign="middle" colspan="2">Exercise and nutrition (<italic>n</italic>&#x2009;=&#x2009;11)</th>
<th align="center" valign="middle" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="char" valign="top" char=".">28.0</td>
<td align="char" valign="top" char=".">4.2</td>
<td align="char" valign="top" char=".">30.4</td>
<td align="char" valign="top" char=".">6.3</td>
<td align="char" valign="top" char=".">0.295</td>
</tr>
<tr>
<td align="left" valign="top">Height (cm)</td>
<td align="char" valign="top" char=".">164.9</td>
<td align="char" valign="top" char=".">4.1</td>
<td align="char" valign="top" char=".">162.0</td>
<td align="char" valign="top" char=".">4.6</td>
<td align="char" valign="top" char=".">0.128</td>
</tr>
<tr>
<td align="left" valign="top">Body weight (kg)</td>
<td align="char" valign="top" char=".">66.8</td>
<td align="char" valign="top" char=".">10.2</td>
<td align="char" valign="top" char=".">61.9</td>
<td align="char" valign="top" char=".">10.3</td>
<td align="char" valign="top" char=".">0.259</td>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td align="char" valign="top" char=".">24.6</td>
<td align="char" valign="top" char=".">3.8</td>
<td align="char" valign="top" char=".">23.6</td>
<td align="char" valign="top" char=".">3.9</td>
<td align="char" valign="top" char=".">0.532</td>
</tr>
<tr>
<td align="left" valign="top">WC (inch)</td>
<td align="char" valign="top" char=".">31.7</td>
<td align="char" valign="top" char=".">3.6</td>
<td align="char" valign="top" char=".">31.1</td>
<td align="char" valign="top" char=".">3.7</td>
<td align="char" valign="top" char=".">0.668</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>M, mean; SD, standard deviation; BMI, body mass index; WC, waist circumference.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec8"><label>2.2</label>
<title>Experimental design</title>
<p>The study was a non-face-to-face eight-week intervention trial. ExC and ExN groups participated in the non-face-to-face behavioral program of brisk walking at four sessions per week over 8 weeks. The ExC group focused solely on the exercise component without additional dietary guidance. The subjects maintained other habitual or recreational physical activities, such as housework, during the study. The ExN group further received nutrition education about the harmfulness of excess sugar intake causing overweight one time before starting the intervention. The ExN group was managed through social media or messages from phones to limit their intake of sugar-rich snacks and beverages during the intervention period. The participants consumed their usual diet 3 days before the test, then fasted (except for water), and abstained from exercise for 10&#x2013;16&#x2009;h on the night before the test. All measurements were carried out in consideration of changes in hormones and biometric data according to a woman&#x2019;s menstrual cycle. The experiment design involved a one-day pre-test session, 8 weeks of intervention, and a one-day post-test session. Post-intervention testing was completed &#x003E;72&#x2009;h after the final exercise session. During the intervention period, each participant visited the laboratory once every 2&#x2009;weeks to gradually increase the exercise intensity of brisk walking. Dietary intake and body composition were measured at 4&#x2009;weeks and 8&#x2009;weeks (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1"><label>Figure 1</label>
<caption>
<p>Comprehensive flowchart of the study design.</p>
</caption>
<graphic xlink:href="fpubh-12-1396598-g001.tif"/>
</fig>
</sec>
<sec id="sec9"><label>2.3</label>
<title>Exercise program</title>
<p>Brisk walking was conducted at 65 to 70% of their heart rate (HR) reserve for 40&#x2009;min per session with increments of 5&#x2009;min in duration per week until week 4 and for a maximum of 60&#x2009;min per session from weeks 4 to 8. Before starting the intervention, participants checked their intensity of brisk walking on the treadmill using an HR monitor (S810, Polar, Kempele, Finland) at the laboratory. After that, participants visited the laboratory every 2&#x2009;weeks and checked the intensity on the treadmill using the HR monitor to reach the target of 65&#x2013;70% of their HR reserve. When HR dropped below the target intensity, we increased the treadmill speed to ensure they reached the target HR. Usual walking training was conducted non-face-to-face with each subject. During the training period, they were instructed to begin each session with a 5-min gradual warm-up and walk briskly for the remainder of the session (50&#x2009;min). After the walking sessions, they were instructed to conduct a 5-min cool-down. They were requested to use the smartwatch parameters (HR) per session and upload their exercise load (i.e., time, pace, and distance) through a mobile messenger. Records were checked every day by the researcher after which the participants were given feedback about the exercise load. The total amount of physical activity (excluding warm-up and cool-down) was computed as metabolic equivalents (METs). The rationale for the chosen intensity and duration is based on previous studies showing effective weight management at this level of activity (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>).</p>
</sec>
<sec id="sec10"><label>2.4</label>
<title>Nutritional education program</title>
<p>To address the dietary imbalances, our study implemented a comprehensive nutritional education program. It includes food information to avoid in various situations, beverages that contain large amounts of sugar, and alternative foods to sugary snacks. Participants were grouped into chat rooms using the messenger app, where they uploaded photos of all meals and snacks. These photos were analyzed using the Computer Aided Nutritional Analysis Program (CAN-Pro 5.0) to evaluate nutritional content. Based on the analysis, participants received feedback on their dietary quality and personalized recommendations on how to adjust their nutrient intake, especially for the sugar intake. To support sustained healthy eating habits, participants were given positive feedback regularly. The program ensured daily monitoring and tailored advice to help participants improve their dietary patterns effectively. The rationale for the nutritional education program is supported by research showing the effectiveness of tailored dietary interventions in reducing sugar intake and improving health outcomes (<xref ref-type="bibr" rid="ref32">32</xref>).</p>
</sec>
<sec id="sec11"><label>2.5</label>
<title>Measurements</title>
<sec id="sec12"><label>2.5.1</label>
<title>Anthropometric evaluation</title>
<p>Height, and body composition (body weight, fat free mass and fat mass) were measured using bioelectrical impedance analysis equipment (Inbody 770; Inbody, Seoul, Korea). Waist circumference (WC) was measured midway between the lowest rib and the iliac crest in the standing position using a measuring tape.</p>
</sec>
<sec id="sec13"><label>2.5.2</label>
<title>Blood biomarkers</title>
<p>Blood samples were centrifuged at 4,000&#x2009;g for 10&#x2009;min, and serum samples were stored at &#x2212;80&#x00B0;C until analysis. Fasting serum glucose (FSG), triglyceride (TG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), fasting serum insulin, ALTSGPT, ALTSGOT, and uric acid were quantified by GC Labs (Gyeonggi-do, South Korea). Whole-body insulin resistance was estimated by the homeostasis model assessment of insulin resistance (HOMA-IR) index [FPI (mg/dl)&#x2009;&#x00D7;&#x2009;FSG (uIU/ml)/405]. Serum levels of cOC and ucOC were determined using a commercially available Gla-type osteocalcin (Gla-OC) EIA Kit (MK111; Takara Bio Inc., Tokyo, Japan) and Glu-type osteocalcin (Glu-OC) EIA Kit (MK118; Takara Bio Inc.), respectively. The total level of OC was calculated as the sum of cOC and ucOC.</p>
</sec>
<sec id="sec14"><label>2.5.3</label>
<title>Dietary intake</title>
<p>Amounts of energy (i.e., total calorie, carbohydrate, fat, and protein intake) were collected through a 24-h recall. This 24-h recall was conducted twice: pre-and post-intervention. For each assessment, participants recalled their dietary intake for three specific days from the preceding week-two on weekdays and one on a weekend day to ensure a comprehensive evaluation of energy intake. During face-to-face interviews with trained researchers, models and pictures of foods and dishes were used to help participants assess the sizes of standard food portions. Questions about snacks, drinks, and supplements were also asked. Nutritional analyses were performed using the CAN-Pro 5.0. The use of multiple recall days and detailed face-to-face interviews enhances the accuracy of dietary intake assessment, as recommend in previous nutritional research (<xref ref-type="bibr" rid="ref33">33</xref>).</p>
</sec>
<sec id="sec15"><label>2.5.4</label>
<title>Physical activity</title>
<p>Records on the distance (km/day), time (minute/day), and speed (minute/km) of brisk walking during the 8-week intervention were calculated using a running record application called &#x201C;Nike Run.&#x201D; The records were presented by taking the mean up to 2, 4, and 8&#x2009;weeks at intervals. The total energy expenditure was calculated using METS, which is a simple, practical, and easily understood procedure for quantifying the energy cost of activities. A value of 1 METS equals 3.5&#x2009;mL/kg/min. Based on the collected data on distance, time, and speed of exercise, the intensity of exercise per session was converted into a METS value and substituted into the following formula. The choice of using METS and detailed tracking via mobile application is supported by research indicationg their reliability and effectiveness in monitoring physical activity (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>).<disp-formula id="E1">
<mml:math id="M1">
<mml:mi mathvariant="normal">Energy</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">expenditure</mml:mi>
<mml:mo>=</mml:mo>
<mml:mi mathvariant="normal">METS</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mi mathvariant="normal">value</mml:mi>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">time</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mfenced open="(" close=")">
<mml:mi mathvariant="normal">minute</mml:mi>
</mml:mfenced>
<mml:mo>&#x00D7;</mml:mo>
<mml:mi mathvariant="normal">weight</mml:mi>
<mml:mspace width="0.25em"/>
<mml:mfenced open="(" close=")">
<mml:mi mathvariant="normal">kg</mml:mi>
</mml:mfenced>
</mml:math>
</disp-formula></p>
</sec>
</sec>
<sec id="sec16"><label>2.6</label>
<title>Statistical analyses</title>
<p>All data were analyzed using Statistical Package for Social Sciences (SPSS 18.0&#x2009;K; IBM, United States). Data were presented as mean&#x2009;&#x00B1;&#x2009;SD. Paired <italic>t</italic>-test was used to examine differences in baseline and follow-up variables within each group. An unpaired <italic>t</italic>-test was used for comparison between the ExC group and the ExN group. For variables with non-normal distribution, the Mann&#x2013;Whitney U-test was performed. Pearson&#x2019;s correlation analyses were used to assess correlations among changes in anthropometric measurements and total OC, cOC, and ucOC. Simple linear regression models were used to assess the influences of changes in OCs on anthropometric measurements, including changes in BMI, WC, and percentage of body fat. Statistical significance was set at <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec17"><label>3</label>
<title>Results</title>
<sec id="sec18"><label>3.1</label>
<title>Participant enrollment and attrition</title>
<p>During the first 4 weeks, one participant withdrew for personal reasons (business trips). Four weeks after the intervention started, two participants dropped out due to infection with COVID-19 or close contact. The final number of participants is 21. The data of 21 young women (mean age: 30.24&#x2009;&#x00B1;&#x2009;5.09&#x2009;years; BMI: 24.59&#x2009;&#x00B1;&#x2009;3.75; % body fat: 35.31&#x2009;&#x00B1;&#x2009;6.01; waist circumference [WC]: 31.84&#x2009;&#x00B1;&#x2009;3.41 inch) were analyzed. No significant difference was found in all variables between the two groups at the baseline (Week 0).</p>
</sec>
<sec id="sec19"><label>3.2</label>
<title>Exercise and energy expenditure</title>
<p><xref ref-type="table" rid="tab2">Table 2</xref> presents the estimated energy expenditure of the participants during the eight-week intervention at weeks 2, 4, and 8. No significant difference was found for exercise in terms of distance, time, speed, and total energy expenditure between the two groups in weeks 2, 4, and 8. The average exercise distance across 8 weeks was 5.3&#x2009;&#x00B1;&#x2009;0.5&#x2009;km/day (ExC group) and 5.4&#x2009;&#x00B1;&#x2009;0.5&#x2009;km/day (ExN group); the average exercise time was 58.4&#x2009;&#x00B1;&#x2009;4.7&#x2009;min/day (ExC group) and 58.8&#x2009;&#x00B1;&#x2009;4.8&#x2009;min/day (ExN group); average speed was 11.02&#x2009;min/km (ExC group) and 10.53&#x2009;min/km (ExN group); lastly, total energy expenditure was 226.7&#x2009;&#x00B1;&#x2009;50.8&#x2009;kcal/day (ExC group) and 217.9&#x2009;&#x00B1;&#x2009;31.9&#x2009;kcal/day (ExN group) (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<table-wrap position="float" id="tab2"><label>Table 2</label>
<caption>
<p>The estimated energy expenditure of the participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="2">Variables</th>
<th align="center" valign="middle" rowspan="2">Follow-up</th>
<th align="center" valign="middle" colspan="2">Exercise and control (<italic>n</italic>&#x2009;=&#x2009;10)</th>
<th align="center" valign="middle" colspan="2">Exercise and nutrition (<italic>n</italic>&#x2009;=&#x2009;11)</th>
<th align="center" valign="middle" rowspan="2"><italic>p</italic>-value</th>
</tr>
<tr>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="3">Distance (km/day)</td>
<td align="center" valign="top">Week 2</td>
<td align="char" valign="top" char=".">4.7</td>
<td align="char" valign="top" char=".">0.8</td>
<td align="char" valign="top" char=".">4.6</td>
<td align="char" valign="top" char=".">0.7</td>
<td align="char" valign="top" char=".">0.761</td>
</tr>
<tr>
<td align="center" valign="top">Week 4</td>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">0.5</td>
<td align="char" valign="top" char=".">5.1</td>
<td align="char" valign="top" char=".">0.6</td>
<td align="char" valign="top" char=".">0.352</td>
</tr>
<tr>
<td align="center" valign="top">Week 8</td>
<td align="char" valign="top" char=".">5.3</td>
<td align="char" valign="top" char=".">0.5</td>
<td align="char" valign="top" char=".">5.4</td>
<td align="char" valign="top" char=".">0.5</td>
<td align="char" valign="top" char=".">0.732</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Time (minute/day)</td>
<td align="center" valign="top">Week 2</td>
<td align="char" valign="top" char=".">50.0</td>
<td align="char" valign="top" char=".">9.4</td>
<td align="char" valign="top" char=".">49.9</td>
<td align="char" valign="top" char=".">6.7</td>
<td align="char" valign="top" char=".">0.980</td>
</tr>
<tr>
<td align="center" valign="top">Week 4</td>
<td align="char" valign="top" char=".">52.2</td>
<td align="char" valign="top" char=".">6.4</td>
<td align="char" valign="top" char=".">54.8</td>
<td align="char" valign="top" char=".">5.8</td>
<td align="char" valign="top" char=".">0.338</td>
</tr>
<tr>
<td align="center" valign="top">Week 8</td>
<td align="char" valign="top" char=".">58.4</td>
<td align="char" valign="top" char=".">4.7</td>
<td align="char" valign="top" char=".">58.8</td>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">0.843</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Pace (minute/km)</td>
<td align="center" valign="top">Week 2</td>
<td align="char" valign="top" char=".">10:43</td>
<td/>
<td align="char" valign="top" char=".">10:51</td>
<td/>
<td align="char" valign="top" char=".">0.520</td>
</tr>
<tr>
<td align="center" valign="top">Week 4</td>
<td align="char" valign="top" char=".">10:52</td>
<td/>
<td align="char" valign="top" char=".">10:48</td>
<td/>
<td align="char" valign="top" char=".">0.815</td>
</tr>
<tr>
<td align="center" valign="top">Week 8</td>
<td align="char" valign="top" char=".">11:02</td>
<td/>
<td align="char" valign="top" char=".">10:53</td>
<td/>
<td align="char" valign="top" char=".">0.995</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Total energy expenditure (kcal/day)</td>
<td align="center" valign="top">Week 2</td>
<td align="char" valign="top" char=".">206.0</td>
<td align="char" valign="top" char=".">56.6</td>
<td align="char" valign="top" char=".">182.3</td>
<td align="char" valign="top" char=".">31.9</td>
<td align="char" valign="top" char=".">0.262</td>
</tr>
<tr>
<td align="center" valign="top">Week 4</td>
<td align="char" valign="top" char=".">209.0</td>
<td align="char" valign="top" char=".">49.0</td>
<td align="char" valign="top" char=".">209.2</td>
<td align="char" valign="top" char=".">29.5</td>
<td align="char" valign="top" char=".">0.992</td>
</tr>
<tr>
<td align="center" valign="top">Week 8</td>
<td align="char" valign="top" char=".">226.7</td>
<td align="char" valign="top" char=".">50.8</td>
<td align="char" valign="top" char=".">217.9</td>
<td align="char" valign="top" char=".">31.9</td>
<td align="char" valign="top" char=".">0.646</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>M, mean; SD, standard deviation.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2"><label>Figure 2</label>
<caption>
<p>Trends in physical activity levels among participants during the experiment for ExC group and ExN group.</p>
</caption>
<graphic xlink:href="fpubh-12-1396598-g002.tif"/>
</fig>
</sec>
<sec id="sec20"><label>3.3</label>
<title>Dietary intake and nutritional changes</title>
<p><xref ref-type="table" rid="tab3">Table 3</xref> depicts energy intake during the eight-week intervention at weeks 2, 4, and 8. A significant reduction was observed in total energy intake (<italic>d</italic>&#x2009;=&#x2009;&#x2212;377.6&#x2009;&#x00B1;&#x2009;445.7) and carbohydrate intake (<italic>d</italic>&#x2009;=&#x2009;&#x2212;301.4&#x2009;&#x00B1;&#x2009;255.5) for the ExN group; however, we observed no significant differences for the ExC group.</p>
<table-wrap position="float" id="tab3"><label>Table 3</label>
<caption>
<p>Baseline and follow-up energy intake of the subjects.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="middle" rowspan="3">Variables</th>
<th align="center" valign="middle" colspan="8">Exercise and control (<italic>n</italic>&#x2009;=&#x2009;10)<break/>Age: 28.3&#x2009;&#x00B1;&#x2009;4.3</th>
<th align="center" valign="middle" colspan="8">Exercise and nutrition (<italic>n</italic>&#x2009;=&#x2009;11)<break/>Age: 32.0&#x2009;&#x00B1;&#x2009;5.3</th>
</tr>
<tr>
<th align="center" valign="middle" colspan="2">Week 0</th>
<th align="center" valign="middle" colspan="2">Week 4</th>
<th align="center" valign="middle" colspan="2">Week 8</th>
<th align="center" valign="middle" colspan="2">
<italic>d</italic>
</th>
<th align="center" valign="middle" colspan="2">Week 0</th>
<th align="center" valign="middle" colspan="2">Week 4</th>
<th align="center" valign="middle" colspan="2">Week 8</th>
<th align="center" valign="middle" colspan="2">
<italic>d</italic>
</th>
</tr>
<tr>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
<th align="center" valign="middle">
<italic>M</italic>
</th>
<th align="center" valign="middle">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Total energy intake (kcal/day)</td>
<td align="char" valign="top" char=".">1822.9</td>
<td align="char" valign="top" char=".">223.1</td>
<td align="char" valign="top" char=".">1464.7</td>
<td align="char" valign="top" char=".">466.9</td>
<td align="char" valign="top" char=".">1590.8</td>
<td align="char" valign="top" char=".">243.3</td>
<td align="char" valign="top" char=".">&#x2212;232.1</td>
<td align="char" valign="top" char=".">403.2</td>
<td align="char" valign="top" char=".">1582.0</td>
<td align="char" valign="top" char=".">340.6</td>
<td align="char" valign="top" char=".">1139.2</td>
<td align="char" valign="top" char=".">366.7</td>
<td align="char" valign="top" char=".">1204.5</td>
<td align="char" valign="top" char=".">330.7</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;377.6&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">445.7</td>
</tr>
<tr>
<td align="left" valign="top">Carbohydrates intake (kcal/day)</td>
<td align="char" valign="top" char=".">923.6</td>
<td align="char" valign="top" char=".">156.3</td>
<td align="char" valign="top" char=".">688.0</td>
<td align="char" valign="top" char=".">238.8</td>
<td align="char" valign="top" char=".">802.2</td>
<td align="char" valign="top" char=".">216.7</td>
<td align="char" valign="top" char=".">&#x2212;121.4</td>
<td align="char" valign="top" char=".">270.3</td>
<td align="char" valign="top" char=".">815.6</td>
<td align="char" valign="top" char=".">270.0</td>
<td align="char" valign="top" char=".">546.3</td>
<td align="char" valign="top" char=".">224.3</td>
<td align="char" valign="top" char=".">514.2</td>
<td align="char" valign="top" char=".">175.7</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;301.4&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">255.5</td>
</tr>
<tr>
<td align="left" valign="top">Fat intake (kcal/day)</td>
<td align="char" valign="top" char=".">579.3</td>
<td align="char" valign="top" char=".">90.2</td>
<td align="char" valign="top" char=".">494.9</td>
<td align="char" valign="top" char=".">252.7</td>
<td align="char" valign="top" char=".">463.4</td>
<td align="char" valign="top" char=".">228.1</td>
<td align="char" valign="top" char=".">&#x2212;115.9</td>
<td align="char" valign="top" char=".">181.8</td>
<td align="char" valign="top" char=".">469.0</td>
<td align="char" valign="top" char=".">118.7</td>
<td align="char" valign="top" char=".">363.1</td>
<td align="char" valign="top" char=".">171.0</td>
<td align="char" valign="top" char=".">453.2</td>
<td align="char" valign="top" char=".">159.6</td>
<td align="char" valign="top" char=".">&#x2212;15.8</td>
<td align="char" valign="top" char=".">199.7</td>
</tr>
<tr>
<td align="left" valign="top">Protein intake (kcal/day)</td>
<td align="char" valign="top" char=".">291.3</td>
<td align="char" valign="top" char=".">43.9</td>
<td align="char" valign="top" char=".">278.7</td>
<td align="char" valign="top" char=".">89.8</td>
<td align="char" valign="top" char=".">282.2</td>
<td align="char" valign="top" char=".">64.8</td>
<td align="char" valign="top" char=".">&#x2212;9.1</td>
<td align="char" valign="top" char=".">72.4</td>
<td align="char" valign="top" char=".">264.9</td>
<td align="char" valign="top" char=".">78.4</td>
<td align="char" valign="top" char=".">252.3</td>
<td align="char" valign="top" char=".">66.5</td>
<td align="char" valign="top" char=".">247.0</td>
<td align="char" valign="top" char=".">65.8</td>
<td align="char" valign="top" char=".">&#x2212;17.9</td>
<td align="char" valign="top" char=".">105.2</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>M, mean; SD, standard deviation. Week 0, before intervention; week 4, at the beginning of the 4th week of the intervention; week 8, after intervention; d: (week 8) &#x2013; (week 0). P difference between baseline and follow-up values; &#x002A; &#x003C; 0.05, &#x002A;&#x002A; &#x003C; 0.01, &#x002A;&#x002A;&#x002A;&#x2009;&#x003C;&#x2009;0.001.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec21"><label>3.4</label>
<title>Body composition and blood parameter shifts</title>
<p>Throughout the study, both groups exhibited improvements in obesity-related body composition measures. Notably, the ExN group displayed remarkable enhancements, including a substantial reduction in body weight (5.2%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), a significant decrease in body fat percentage (9.5%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and a considerable reduction in waist circumference (10.7%, <italic>p</italic> &#x003C;&#x2009;0.001) compared to the ExC group. Shifting our focus to obesity-related blood variables, significant reductions were observed in the ExC group for total cholesterol (TC) (10.9%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), high-density lipoprotein (HDL) (12.1%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), glucose (9.2%, <italic>p</italic> &#x003C;&#x2009;0.05), insulin (30.5%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), and the Homeostatic Model Assessment for Insulin Resistance (HOMA-IR) (38.7%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Similarly, while the ExN group exhibited a significant decrease in glucose (8.5%, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). To aid in understanding these results, <xref ref-type="fig" rid="fig3">Figures 3</xref>, <xref ref-type="fig" rid="fig4">4</xref> visually depict changes in body composition parameters and glucose metabolism biomarkers before and after the intervention for both groups. In <xref ref-type="fig" rid="fig3">Figure 3</xref>, both groups exhibited significant decreases in body weight (ExC: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, ExN: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), with the ExN group showing a significant decrease than the ExC group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Similarly, both groups demonstrated significant decreases in body fat percentage (ExC: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05, ExN: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), with the ExN group displaying a significant decrease than the ExC group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Noteworthy decreases in WC were observed in both groups (ExC: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, ExN: <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001), and the ExN group exhibited a significant decrease than the ExC group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). In <xref ref-type="fig" rid="fig4">Figure 4</xref>, both the ExC and ExN groups exhibited significant decreases in glucose (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05), with the ExC group also showing significant decreases in HOMA-IR and Insulin (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Additionally, for TC, the ExC group demonstrated a significant decrease (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01) compared to baseline, while the ExN group displayed a notably lower value than the ExC group (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). These collective results emphasize the substantial and differential impacts of the intervention on health-related parameters, suggesting the potential for meaningful improvements in both body composition and metabolic health (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<fig position="float" id="fig3"><label>Figure 3</label>
<caption>
<p>Comparison of changes in body composition components for ExC group and ExN group before and after participating in the intervention program. <bold>(A)</bold> Changes in body weight. <bold>(B)</bold> Changes in fat free mass. <bold>(C)</bold> Changes in body fat percent. <bold>(D)</bold> Changes in WC. Values are mean&#x2009;&#x00B1;&#x2009;SD, &#x002A; &#x003C;0.05 vs. baseline, &#x002A;&#x002A; &#x003C;0.01 vs. baseline, &#x002A;&#x002A;&#x002A; &#x003C;0.001 vs. baseline, # &#x003C;0.05 vs. ExC.</p>
</caption>
<graphic xlink:href="fpubh-12-1396598-g003.tif"/>
</fig>
<fig position="float" id="fig4"><label>Figure 4</label>
<caption>
<p>Comparison of changes in body glucose metabolism biomarkers for ExC group and ExN group before and after participating in the intervention program. <bold>(A)</bold> Changes in glucose. <bold>(B)</bold> Changes in HOMA-IR. <bold>(C)</bold> Changes in insulin. <bold>(D)</bold> Changes in TC. Values are mean&#x2009;&#x00B1;&#x2009;SD, &#x002A; &#x003C;0.05 vs. baseline, &#x002A;&#x002A; &#x003C;0.01 vs. baseline, &#x002A;&#x002A;&#x002A; &#x003C;0.001 vs. baseline, # &#x003C;0.05 vs. ExC.</p>
</caption>
<graphic xlink:href="fpubh-12-1396598-g004.tif"/>
</fig>
<table-wrap position="float" id="tab4"><label>Table 4</label>
<caption>
<p>Baseline and follow-up characteristics of the subjects.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="3">Variables</th>
<th align="center" valign="top" colspan="8">Exercise and control (<italic>n</italic>&#x2009;=&#x2009;10)<break/>Age: 28.3&#x2009;&#x00B1;&#x2009;4.3</th>
<th align="center" valign="top" colspan="10">Exercise and nutrition (<italic>n</italic>&#x2009;=&#x2009;11)<break/>Age: 32.0&#x2009;&#x00B1;&#x2009;5.3</th>
</tr>
<tr>
<th align="center" valign="top" colspan="2">Week 0</th>
<th align="center" valign="top" colspan="2">Week 4</th>
<th align="center" valign="top" colspan="2">Week 8</th>
<th align="center" valign="top" colspan="2">
<italic>d</italic>
</th>
<th align="center" valign="top" colspan="2">Week 0</th>
<th align="center" valign="top" colspan="2">Week 4</th>
<th align="center" valign="top" colspan="2">Week 8</th>
<th align="center" valign="top" colspan="2">
<italic>d</italic>
</th>
<th align="center" valign="top">P&#x002A;</th>
<th align="center" valign="top">P&#x2020;</th>
</tr>
<tr>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">
<italic>M</italic>
</th>
<th align="center" valign="top">SD</th>
<th/>
<th/>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="19">
<bold>Body composition</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Body weight (kg)</td>
<td align="char" valign="top" char=".">67.1</td>
<td align="char" valign="top" char=".">10.7</td>
<td align="char" valign="top" char=".">65.8</td>
<td align="char" valign="top" char=".">10.2</td>
<td align="char" valign="top" char=".">65.4</td>
<td align="char" valign="top" char=".">10.3</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;1.8&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.8</td>
<td align="char" valign="top" char=".">64.1</td>
<td align="char" valign="top" char=".">9.6</td>
<td align="char" valign="top" char=".">62.0</td>
<td align="char" valign="top" char=".">8.8</td>
<td align="char" valign="top" char=".">60.8</td>
<td align="char" valign="top" char=".">8.9</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;3.3&#x002A;&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.7</td>
<td align="char" valign="top" char=".">0.506</td>
<td align="char" valign="top" char=".">
<bold>0.048&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Body fat mass (kg)</td>
<td align="char" valign="top" char=".">23.8</td>
<td align="char" valign="top" char=".">6.9</td>
<td align="char" valign="top" char=".">22.9</td>
<td align="char" valign="top" char=".">6.7</td>
<td align="char" valign="top" char=".">22.1</td>
<td align="char" valign="top" char=".">6.4</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;1.7&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.6</td>
<td align="char" valign="top" char=".">23.3</td>
<td align="char" valign="top" char=".">6.7</td>
<td align="char" valign="top" char=".">21.5</td>
<td align="char" valign="top" char=".">5.7</td>
<td align="char" valign="top" char=".">20.1</td>
<td align="char" valign="top" char=".">6.3</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;2.7&#x002A;&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.5</td>
<td align="char" valign="top" char=".">0.878</td>
<td align="char" valign="top" char=".">
<bold>0.013&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Fat free mass (kg)</td>
<td align="char" valign="top" char=".">43.3</td>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">43.0</td>
<td align="char" valign="top" char=".">5.1</td>
<td align="char" valign="top" char=".">43.3</td>
<td align="char" valign="top" char=".">5.0</td>
<td align="char" valign="top" char=".">&#x2212;0.1</td>
<td align="char" valign="top" char=".">1.2</td>
<td align="char" valign="top" char=".">40.8</td>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">40.5</td>
<td align="char" valign="top" char=".">4.4</td>
<td align="char" valign="top" char=".">40.7</td>
<td align="char" valign="top" char=".">4.4</td>
<td align="char" valign="top" char=".">&#x2212;0.1</td>
<td align="char" valign="top" char=".">1.1</td>
<td align="char" valign="top" char=".">0.239</td>
<td align="char" valign="top" char=".">0.956</td>
</tr>
<tr>
<td align="left" valign="top">BMI</td>
<td align="char" valign="top" char=".">24.9</td>
<td align="char" valign="top" char=".">3.8</td>
<td align="char" valign="top" char=".">24.4</td>
<td align="char" valign="top" char=".">3.7</td>
<td align="char" valign="top" char=".">24.0</td>
<td align="char" valign="top" char=".">3.6</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;0.8&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">0.8</td>
<td align="char" valign="top" char=".">24.3</td>
<td align="char" valign="top" char=".">3.8</td>
<td align="char" valign="top" char=".">23.5</td>
<td align="char" valign="top" char=".">3.6</td>
<td align="char" valign="top" char=".">22.9</td>
<td align="char" valign="top" char=".">3.5</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;1.4&#x002A;&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">0.7</td>
<td align="char" valign="top" char=".">0.736</td>
<td align="char" valign="top" char=".">0.097</td>
</tr>
<tr>
<td align="left" valign="top">Percent body fat (%)</td>
<td align="char" valign="top" char=".">34.8</td>
<td align="char" valign="top" char=".">5.6</td>
<td align="char" valign="top" char=".">34.2</td>
<td align="char" valign="top" char=".">6.2</td>
<td align="char" valign="top" char=".">33.2</td>
<td align="char" valign="top" char=".">5.7</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;1.6&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.7</td>
<td align="char" valign="top" char=".">35.8</td>
<td align="char" valign="top" char=".">6.6</td>
<td align="char" valign="top" char=".">34.2</td>
<td align="char" valign="top" char=".">5.4</td>
<td align="char" valign="top" char=".">32.4</td>
<td align="char" valign="top" char=".">6.9</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;3.4&#x002A;&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.3</td>
<td align="char" valign="top" char=".">0.714</td>
<td align="char" valign="top" char=".">
<bold>0.011&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">WC (inch)</td>
<td align="char" valign="top" char=".">31.9</td>
<td align="char" valign="top" char=".">3.7</td>
<td align="char" valign="top" char=".">32.0</td>
<td align="char" valign="top" char=".">3.8</td>
<td align="char" valign="top" char=".">30.1</td>
<td align="char" valign="top" char=".">3.5</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;1.8&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.3</td>
<td align="char" valign="top" char=".">31.8</td>
<td align="char" valign="top" char=".">3.3</td>
<td align="char" valign="top" char=".">29.8</td>
<td align="char" valign="top" char=".">3.2</td>
<td align="char" valign="top" char=".">28.4</td>
<td align="char" valign="top" char=".">2.9</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;3.4&#x002A;&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.5</td>
<td align="char" valign="top" char=".">0.961</td>
<td align="char" valign="top" char=".">
<bold>0.020&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" colspan="19">
<bold>Glucose metabolism biomarkers</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">HDL (mg/dL)</td>
<td align="char" valign="top" char=".">64.2</td>
<td align="char" valign="top" char=".">6.7</td>
<td/>
<td/>
<td align="char" valign="top" char=".">56.4</td>
<td align="char" valign="top" char=".">6.6</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;7.9&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">9.0</td>
<td align="char" valign="top" char=".">63.4</td>
<td align="char" valign="top" char=".">12.5</td>
<td/>
<td/>
<td align="char" valign="top" char=".">62.4</td>
<td align="char" valign="top" char=".">12.5</td>
<td align="char" valign="top" char=".">&#x2212;1.3</td>
<td align="char" valign="top" char=".">8.8</td>
<td align="char" valign="top" char=".">0.929</td>
<td align="char" valign="top" char=".">0.109</td>
</tr>
<tr>
<td align="left" valign="top">Glucose (mg/dL)</td>
<td align="char" valign="top" char=".">93.3</td>
<td align="char" valign="top" char=".">6.5</td>
<td/>
<td/>
<td align="char" valign="top" char=".">84.7</td>
<td align="char" valign="top" char=".">9.6</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;8.7&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">11.7</td>
<td align="char" valign="top" char=".">98.9</td>
<td align="char" valign="top" char=".">14.3</td>
<td/>
<td/>
<td align="char" valign="top" char=".">90.5</td>
<td align="char" valign="top" char=".">10.9</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;8.4&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">10.9</td>
<td align="char" valign="top" char=".">0.273</td>
<td align="char" valign="top" char=".">0.962</td>
</tr>
<tr>
<td align="left" valign="top">TC (mg/dL)</td>
<td align="char" valign="top" char=".">189.5</td>
<td align="char" valign="top" char=".">22.9</td>
<td/>
<td/>
<td align="char" valign="top" char=".">168.8</td>
<td align="char" valign="top" char=".">21.1</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;20.7&#x002A;&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">16.8</td>
<td align="char" valign="top" char=".">190.5</td>
<td align="char" valign="top" char=".">25.0</td>
<td/>
<td/>
<td align="char" valign="top" char=".">195.0</td>
<td align="char" valign="top" char=".">23.5</td>
<td align="char" valign="top" char=".">4.5</td>
<td align="char" valign="top" char=".">14.5</td>
<td align="char" valign="top" char=".">0.925</td>
<td align="char" valign="top" char=".">
<bold>0.002&#x002A;&#x002A;</bold>
</td>
</tr>
<tr>
<td align="left" valign="top">Insulin (&#x03BC;U/mL)</td>
<td align="char" valign="top" char=".">13.1</td>
<td align="char" valign="top" char=".">4.5</td>
<td/>
<td/>
<td align="char" valign="top" char=".">9.1</td>
<td align="char" valign="top" char=".">4.0</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;4.0&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">4.3</td>
<td align="char" valign="top" char=".">14.3</td>
<td align="char" valign="top" char=".">8.8</td>
<td/>
<td/>
<td align="char" valign="top" char=".">11.6</td>
<td align="char" valign="top" char=".">8.3</td>
<td align="char" valign="top" char=".">&#x2212;2.7</td>
<td align="char" valign="top" char=".">8.9</td>
<td align="char" valign="top" char=".">0.682</td>
<td align="char" valign="top" char=".">0.678</td>
</tr>
<tr>
<td align="left" valign="top">HOMA-IR</td>
<td align="char" valign="top" char=".">3.1</td>
<td align="char" valign="top" char=".">1.2</td>
<td/>
<td/>
<td align="char" valign="top" char=".">1.9</td>
<td align="char" valign="top" char=".">0.8</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;1.2&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">1.2</td>
<td align="char" valign="top" char=".">3.6</td>
<td align="char" valign="top" char=".">2.5</td>
<td/>
<td/>
<td align="char" valign="top" char=".">2.5</td>
<td align="char" valign="top" char=".">1.5</td>
<td align="char" valign="top" char=".">&#x2212;1.1</td>
<td align="char" valign="top" char=".">2.1</td>
<td align="char" valign="top" char=".">0.542</td>
<td align="char" valign="top" char=".">0.867</td>
</tr>
<tr>
<td align="left" valign="top">ALTGPT (U/L)</td>
<td align="char" valign="top" char=".">11.5</td>
<td align="char" valign="top" char=".">2.9</td>
<td/>
<td/>
<td align="char" valign="top" char=".">9.6</td>
<td align="char" valign="top" char=".">2.3</td>
<td align="char" valign="top" char=".">
<bold>&#x2212;1.9&#x002A;</bold>
</td>
<td align="char" valign="top" char=".">2.1</td>
<td align="char" valign="top" char=".">13.4</td>
<td align="char" valign="top" char=".">5.8</td>
<td/>
<td/>
<td align="char" valign="top" char=".">12.2</td>
<td align="char" valign="top" char=".">2.8</td>
<td align="char" valign="top" char=".">&#x2212;1.1</td>
<td align="char" valign="top" char=".">5.3</td>
<td align="char" valign="top" char=".">0.361</td>
<td align="char" valign="top" char=".">0.696</td>
</tr>
<tr>
<td align="left" valign="top">ASTGOT (U/L)</td>
<td align="char" valign="top" char=".">15.5</td>
<td align="char" valign="top" char=".">2.6</td>
<td/>
<td/>
<td align="char" valign="top" char=".">15.5</td>
<td align="char" valign="top" char=".">3.2</td>
<td align="char" valign="top" char=".">&#x2212;0.1</td>
<td align="char" valign="top" char=".">2.8</td>
<td align="char" valign="top" char=".">16.5</td>
<td align="char" valign="top" char=".">2.2</td>
<td/>
<td/>
<td align="char" valign="top" char=".">16.0</td>
<td align="char" valign="top" char=".">2.5</td>
<td align="char" valign="top" char=".">&#x2212;0.5</td>
<td align="char" valign="top" char=".">1.9</td>
<td align="char" valign="top" char=".">0.352</td>
<td align="char" valign="top" char=".">0.668</td>
</tr>
<tr>
<td align="left" valign="top">Uric acid (mg/dL)</td>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">0.7</td>
<td/>
<td/>
<td align="char" valign="top" char=".">4.9</td>
<td align="char" valign="top" char=".">1.3</td>
<td align="char" valign="top" char=".">0.1</td>
<td align="char" valign="top" char=".">1.3</td>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">1.3</td>
<td/>
<td/>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">1.1</td>
<td align="char" valign="top" char=".">0.0</td>
<td align="char" valign="top" char=".">0.8</td>
<td align="char" valign="top" char=".">0.973</td>
<td align="char" valign="top" char=".">0.911</td>
</tr>
<tr>
<td align="left" valign="top">Total OC (nmol/L)</td>
<td align="char" valign="top" char=".">18.7</td>
<td align="char" valign="top" char=".">5.1</td>
<td/>
<td/>
<td align="char" valign="top" char=".">17.8</td>
<td align="char" valign="top" char=".">4.7</td>
<td align="char" valign="top" char=".">&#x2212;0.9</td>
<td align="char" valign="top" char=".">4.4</td>
<td align="char" valign="top" char=".">16.1</td>
<td align="char" valign="top" char=".">4.1</td>
<td/>
<td/>
<td align="char" valign="top" char=".">16.6</td>
<td align="char" valign="top" char=".">4.8</td>
<td align="char" valign="top" char=".">0.5</td>
<td align="char" valign="top" char=".">2.8</td>
<td align="char" valign="top" char=".">0.200</td>
<td align="char" valign="top" char=".">0.397</td>
</tr>
<tr>
<td align="left" valign="top">COC (nmol/L)</td>
<td align="char" valign="top" char=".">14.4</td>
<td align="char" valign="top" char=".">4.0</td>
<td/>
<td/>
<td align="char" valign="top" char=".">13.6</td>
<td align="char" valign="top" char=".">4.9</td>
<td align="char" valign="top" char=".">&#x2212;0.8</td>
<td align="char" valign="top" char=".">3.4</td>
<td align="char" valign="top" char=".">12.5</td>
<td align="char" valign="top" char=".">3.7</td>
<td/>
<td/>
<td align="char" valign="top" char=".">12.5</td>
<td align="char" valign="top" char=".">4.3</td>
<td align="char" valign="top" char=".">0.0</td>
<td align="char" valign="top" char=".">3.1</td>
<td align="char" valign="top" char=".">0.293</td>
<td align="char" valign="top" char=".">0.593</td>
</tr>
<tr>
<td align="left" valign="top">UCOC (nmol/L)</td>
<td align="char" valign="top" char=".">4.4</td>
<td align="char" valign="top" char=".">2.9</td>
<td/>
<td/>
<td align="char" valign="top" char=".">4.3</td>
<td align="char" valign="top" char=".">2.6</td>
<td align="char" valign="top" char=".">&#x2212;0.1</td>
<td align="char" valign="top" char=".">1.4</td>
<td align="char" valign="top" char=".">3.5</td>
<td align="char" valign="top" char=".">2.0</td>
<td/>
<td/>
<td align="char" valign="top" char=".">4.0</td>
<td align="char" valign="top" char=".">2.7</td>
<td align="char" valign="top" char=".">0.5</td>
<td align="char" valign="top" char=".">1.7</td>
<td align="char" valign="top" char=".">0.447</td>
<td align="char" valign="top" char=".">0.378</td>
</tr>
<tr>
<td align="left" valign="top">TG (mg/dL)</td>
<td align="char" valign="top" char=".">69.9</td>
<td align="char" valign="top" char=".">21.3</td>
<td/>
<td/>
<td align="char" valign="top" char=".">67.2</td>
<td align="char" valign="top" char=".">21.7</td>
<td align="char" valign="top" char=".">&#x2212;2.7</td>
<td align="char" valign="top" char=".">23.8</td>
<td align="char" valign="top" char=".">108.2</td>
<td align="char" valign="top" char=".">102.2</td>
<td/>
<td/>
<td align="char" valign="top" char=".">91.0</td>
<td align="char" valign="top" char=".">47.9</td>
<td align="char" valign="top" char=".">&#x2212;17.1</td>
<td align="char" valign="top" char=".">65.3</td>
<td align="char" valign="top" char=".">0.260</td>
<td align="char" valign="top" char=".">0.517</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>M, mean; SD, standard deviation. Week 0, before intervention; week 4, at the beginning of the 4th week of the intervention; week 8, after intervention; d: (week 8) &#x2013; (week 0). P difference between baseline and follow-up values; &#x002A; &#x003C; 0.05, &#x002A;&#x002A; &#x003C; 0.01, &#x002A;&#x002A;&#x002A; &#x003C; 0.001, P&#x002A; difference between baseline measures between the groups; P&#x2020; difference in changes in the measures between the groups. BMI, body mass index; WC, waist circumference; SBP, systolic blood pressure; DBP, diastolic blood pressure; TC, total cholesterol; HDL, high-density lipoprotein cholesterol; TG, triglyceride; HOMA-IR, homeostatic model assessment for insulin resistance; OC, osteocalcin; COC, carboxylated osteocalcin; UCOC, undercarboxylated osteocalcin.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="sec22"><label>4</label>
<title>Discussion</title>
<p>Sugar restriction, characterized by the limitation of sugar-rich snacks and beverages over an 8-week program and combined with non-face-to-face brisk walking exercise, led to additional improvements in body composition parameters. These parameters included body weight, body fat mass, percent body fat, and waist circumference, in comparison to the results seen in the group that only engaged in brisk walking. These findings suggest that the combination of nutritional intervention and exercise proves effective for weight management in young overweight women aged 20&#x2013;39 living alone. However, contrary to our primary hypothesis, the nutritional intervention did not result in additional enhancements in glucose metabolism biomarkers.</p>
<p>A substantial body of research consistently suggests that brisk walking presents a viable strategy for promoting weight loss among young women in their 20s and 30s. Additionally, emerging evidence indicates that brisk walking may have favorable effects on lipid profiles (<xref ref-type="bibr" rid="ref20">20</xref>). In this study, the exercise and control group experienced significant reductions in key measures, including body weight (1.8&#x2009;&#x00B1;&#x2009;1.8&#x2009;kg), and percent body fat (1.6&#x2009;&#x00B1;&#x2009;1.7%). These findings align with our initial hypothesis and are in line with previous research outcomes. In a sedentary population of overweight women aged 21&#x2013;30, engaging in in-person brisk walking for 45&#x2009;min, five times a week, over 10&#x2009;weeks led to significant weight reduction (<xref ref-type="bibr" rid="ref17">17</xref>). Similarly, among sedentary young adults aged 20&#x2013;40 who participated in 30&#x2009;min of daily in-person walking exercise for 8&#x2009;weeks, there was a notable reduction in percent body fat by (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) (<xref ref-type="bibr" rid="ref36">36</xref>).</p>
<p>Furthermore, physical activity represents a vital lifestyle intervention that has demonstrated its efficacy in improving glucose metabolism and reducing the risk of overweight. In this study, the exercise and control group exhibited significant decreases in fasting glucose by 9.2%, insulin by 30.5%, and HOMA-IR by 38.7%. These findings are consistent with prior research, confirming the favorable impact of exercise interventions on glucose metabolism biomarkers. According to Sandvei et al. (<xref ref-type="bibr" rid="ref37">37</xref>), young adults engaging in continuous moderate-intensity aerobic training three times a week for 8 weeks at an intensity of 70&#x2013;80% of maximal heart rate experienced a significant reduction in fasting glucose levels by 3.6%. Moreover, in obese young adults, insulin levels decreased by 45.4% following the eight-week aerobic exercise program (<xref ref-type="bibr" rid="ref38">38</xref>). Remarkably, even though brisk walking was conducted in a non-face-to-face manner over 8&#x2009;weeks in this study when compared to previous studies conducted in a face-to-face setting, it was observed that fasting glucose levels decreased to a greater extent, and insulin levels also decreased significantly, albeit not to the same extent as in the face-to-face program. This suggests that in the future, leveraging advanced devices and technologies for non-face-to-face brisk walking exercises could be an effective approach for improving glucose metabolism biomarkers in young obese women.</p>
<p>Our 8-week program, focusing on restricting sugar-rich snacks and beverages to reduce carbohydrate intake, resulted in notable improvements in body composition. While both groups experienced significant decreases in various body composition parameters, it is crucial to emphasize that the exercise and nutrition group achieved substantially greater reductions compared to the exercise and control group. Specifically, the exercise and nutrition group exhibited significant decreases in body weight, body fat mass, percent body fat, and waist circumference. In contrast, the exercise and control group showed reductions of a lesser magnitude, including decreases in body weight, body fat mass, percent body fat, and waist circumference. Previous reviews underscore the importance of reducing sugar-rich snack and beverage consumption as a complementary strategy for maintaining a healthy weight and promoting overall healthy dietary patterns (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). A meta-analysis revealed that substituting sugar-sweetened beverages with low- or no-calorie sweetened alternatives was associated with weight reductions with a mean difference of &#x2212;1.06 (&#x2212;1.71 to &#x2212;0.41&#x2009;kg) (<xref ref-type="bibr" rid="ref39">39</xref>), aligning with our study&#x2019;s observation of a significantly greater reduction in body weight in the exercise and nutrition group that restricted their consumption of sugar-rich snacks and beverages compared to the exercise and control group. From a public health perspective, the integration of brisk walking with the reduction of sugar-rich snack and beverage consumption emerges as a straightforward and effective approach to facilitate weight loss and enhance overall well-being. Nevertheless, the widespread implementation of these interventions may necessitate policy modifications or environmental enhancements, including the provision of safe and walkable spaces or the implementation of taxes on sugar-sweetened beverages (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>The exercise and nutrition group exhibited a notable reduction in fasting glucose levels (8.4&#x2009;&#x00B1;&#x2009;10.9&#x2009;mg/dL) following the 8-week intervention. However, no significant difference in the changes in fasting glucose was observed when compared to the exercise and control group. These outcomes suggest that there was no significant additional effect on glucose metabolism biomarkers when combining an exercise program with a nutrition program. Notably, the participants in this study did not display markedly elevated values for diabetes-related variables, particularly fasting glucose (98.9&#x2009;&#x00B1;&#x2009;14.3&#x2009;mg/dL) before the intervention. Therefore, despite the evident effectiveness of limiting the consumption of sugar-rich snacks and beverages in improving body composition, no substantial changes were observed in glucose metabolism. Moreover, it is important to acknowledge that the intervention period lasted only 8&#x2009;weeks, which may have been insufficient to induce significant alterations in glycemic control indicators and other metabolic health parameters, especially among individuals whose initial glycemic profiles fell within the normal physiological range. Furthermore, lifestyle factors can exert a significant influence on glucose metabolism. One possible contributing factor is the timing and frequency of meals and snacks within individuals&#x2019; daily routines. In the case of single-person households in Korea, dining alone is common due to living arrangements, resulting in inconsistent mealtime and eating patterns (<xref ref-type="bibr" rid="ref41">41</xref>).</p>
<p>In addition, while our study highlights the benefits of brisk walking combined with nutritional interventions for improving body composition and glucose metabolism, it is important to acknowledge the potential of other exercise forms. Resistance training, for example, has been demonstrated to also offer significant benefits in the improvement of glucose metabolism and body composition (<xref ref-type="bibr" rid="ref42">42</xref>, <xref ref-type="bibr" rid="ref43">43</xref>). This suggests that integrating diverse forms of physical activity could further enhance the efficacy of lifestyles interventions targeted at metabolic health improvements. Such findings advocate for a broader inclusion of varied exercise modalities in future studies, potentially offering a more comprehensive approach to managing and improving metabolic health in similar populations.</p>
<p>The current study is subject to several limitations. Firstly, we did not implement controls to monitor participants&#x2019; sleep patterns or collect corresponding sleep-related data. Sleep quality and duration significantly impact various aspects of health, including glucose metabolism and overall energy levels. Individual variations in sleep patterns, such as inadequate sleep, irregular sleep schedules, or sleep disruptions, could introduce confounding variables influencing the study&#x2019;s outcomes. The second limitation of our study is the small sample size, which was significantly influenced by external factors beyond our control, primarily the COVID-19 pandemic. The pandemic and the consequent social distancing measures imposed severe recruitment challenges. Many potential participants were hesitant to engage in a study involving physical visits during this period. Furthermore, there were several instances of participant dropouts due to COVID-19 infections and related concerns, which compounded the difficulty of maintaining a larger, stable cohort. To address this limitation and enhance the robustness of future studies, we recommend adopting more flexible and resilient recruitment and data collection methods that can adapt to similar disruptions. Thirdly, our examination of participants&#x2019; carbohydrate intake, as presented in <xref ref-type="table" rid="tab3">Table 3</xref>, did not specifically measure sugar intake. In this study, an analysis of sugar intake was excluded from our assessment due to limitations in the nutrient analysis program used. Although this limitation prevents us from offering comprehensive insights into sugar consumption patterns, we believe that our study still provides valuable insights into other dietary components. Notably, the ExN group showed a significant reduction in carbohydrate intake between the week 0 and week 8, which includes sugars, suggesting that the observed effects could be partially attributed to reduced sugar consumption. While we cannot directly attribute the effects to sugar alone, the reduction in total carbohydrate intake likely reflects a decrease in sugar-rich foods. Future studies should include more detailed dietary assessments to differentiate the specific contributions of sugar reduction versus overall carbohydrate reduction This distinction is essential for developing more targeted and effective dietary strategies for weight management in young overweight women.</p>
<p>Our results indicate that a program focused on restricting the consumption of sugar-rich snacks and beverages may serve as a viable approach within diet-exercise strategies to promote weight loss among young women who are overweight or obese. These findings underscore the promise of implementing non-face-to-face nutrition and exercise behavioral programs in clinical practice, aiming to address overweight in young adult women living in single-person households. Future research is warranted to validate our observations, explore the long-term effects, and assess the feasibility of these non-face-to-face interventions by employing extended intervention durations.</p>
</sec>
<sec sec-type="data-availability" id="sec23">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec24">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Korea University Institutional Review Board of the Korea (reference number: KUIRB-2021-0146-01). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec25">
<title>Author contributions</title>
<p>YL: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NK: Data curation, Formal analysis, Software, Validation, Visualization, Writing &#x2013; review &#x0026; editing. SG: Data curation, Investigation, Methodology, Writing &#x2013; review &#x0026; editing. JK: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Writing &#x2013; review &#x0026; editing. JP: Conceptualization, Funding acquisition, Project administration, Resources, Supervision, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="sec26">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This research received financial support through the Research Grant (Grant No. KSSO202103) provided by the Korean Society for the Study of Obesity (KSSO).</p>
</sec>
<ack>
<p>This paper was supported by the Konkuk University Research Professor Program of Konkuk University.</p>
</ack>
<sec sec-type="COI-statement" id="sec27">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="sec28">
<title>Publisher's note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cho</surname> <given-names>KI</given-names></name> <name><surname>Kim</surname> <given-names>BH</given-names></name> <name><surname>Je</surname> <given-names>HG</given-names></name> <name><surname>Jang</surname> <given-names>JS</given-names></name> <name><surname>Park</surname> <given-names>YH</given-names></name></person-group>. <article-title>Gender-specific associations between socioeconomic status and psychological factors and metabolic syndrome in the Korean population: findings from the 2013 Korean National Health and nutrition examination survey</article-title>. <source>Biomed Res Int</source>. (<year>2016</year>) <volume>2016</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2016/3973197</pub-id></citation></ref>
<ref id="ref2"><label>2.</label> <citation citation-type="other"><person-group><collab>Korea National Statistical Office</collab></person-group>. <article-title>Status and Characteristics of Single-Person Households in Population and Housing Census [Internet]</article-title>. (<year>2020</year>). <comment>Available at:</comment> <ext-link xlink:href="https://eiec.kdi.re.kr/policy/materialView.do?num=180908" ext-link-type="uri">https://eiec.kdi.re.kr/policy/materialView.do?num=180908</ext-link> (Accessed September 1, 2020).</citation></ref>
<ref id="ref3"><label>3.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shin</surname> <given-names>S</given-names></name> <name><surname>Kim</surname> <given-names>SA</given-names></name> <name><surname>Ha</surname> <given-names>J</given-names></name> <name><surname>Lim</surname> <given-names>K</given-names></name></person-group>. <article-title>Sugar-sweetened beverage consumption in relation to obesity and metabolic syndrome among Korean adults: a cross-sectional study from the 2012(&#x2212;)2016 Korean National Health and nutrition examination survey (KNHANES)</article-title>. <source>Nutrients</source>. (<year>2018</year>) <volume>10</volume>:<fpage>1467</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu10101467</pub-id>, PMID: <pub-id pub-id-type="pmid">30304842</pub-id></citation></ref>
<ref id="ref4"><label>4.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>Y-J</given-names></name> <name><surname>Park</surname> <given-names>Y-H</given-names></name> <name><surname>Lee</surname> <given-names>J-W</given-names></name> <name><surname>Sung</surname> <given-names>E-S</given-names></name> <name><surname>Lee</surname> <given-names>H-S</given-names></name> <name><surname>Park</surname> <given-names>J</given-names></name></person-group>. <article-title>Household-specific physical activity levels and energy intakes according to the presence of metabolic syndrome in Korean young adults: Korean National Health and nutrition examination survey 2016&#x2013;2018</article-title>. <source>BMC Public Health</source>. (<year>2022</year>) <volume>22</volume>:<fpage>476</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-022-12852-3</pub-id></citation></ref>
<ref id="ref5"><label>5.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shin</surname> <given-names>HJ</given-names></name> <name><surname>Cho</surname> <given-names>E</given-names></name> <name><surname>Lee</surname> <given-names>H-J</given-names></name> <name><surname>Fung</surname> <given-names>TT</given-names></name> <name><surname>Rimm</surname> <given-names>E</given-names></name> <name><surname>Rosner</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Instant noodle intake and dietary patterns are associated with distinct cardiometabolic risk factors in Korea</article-title>. <source>J Nutr</source>. (<year>2014</year>) <volume>144</volume>:<fpage>1247</fpage>&#x2013;<lpage>55</lpage>. doi: <pub-id pub-id-type="doi">10.3945/jn.113.188441</pub-id>, PMID: <pub-id pub-id-type="pmid">24966409</pub-id></citation></ref>
<ref id="ref6"><label>6.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>KW</given-names></name> <name><surname>Shin</surname> <given-names>D</given-names></name></person-group>. <article-title>Comparison of dietary behaviors and the prevalence of metabolic syndrome in single-and multi-person households among Korean adults</article-title>. <source>Healthcare</source>. (<year>2021</year>) <volume>9</volume>:<fpage>1116</fpage>. doi: <pub-id pub-id-type="doi">10.3390/healthcare9091116</pub-id></citation></ref>
<ref id="ref7"><label>7.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname> <given-names>KW</given-names></name> <name><surname>Shin</surname> <given-names>D</given-names></name></person-group>. <article-title>Relationships of dietary factors with obesity, hypertension, and diabetes by regional type among single-person households in Korea</article-title>. <source>Nutrients</source>. (<year>2021</year>) <volume>13</volume>:<fpage>1218</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu13041218</pub-id>, PMID: <pub-id pub-id-type="pmid">33917110</pub-id></citation></ref>
<ref id="ref8"><label>8.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Henriksen</surname> <given-names>RE</given-names></name> <name><surname>Torsheim</surname> <given-names>T</given-names></name> <name><surname>Thuen</surname> <given-names>F</given-names></name></person-group>. <article-title>Loneliness, social integration and consumption of sugar-containing beverages: testing the social baseline theory</article-title>. <source>PLoS One</source>. (<year>2014</year>) <volume>9</volume>:<fpage>e104421</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0104421</pub-id>, PMID: <pub-id pub-id-type="pmid">25105408</pub-id></citation></ref>
<ref id="ref9"><label>9.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Campos-Ram&#x00ED;rez</surname> <given-names>C</given-names></name> <name><surname>Palacios-Delgado</surname> <given-names>J</given-names></name> <name><surname>Caama&#x00F1;o-Perez</surname> <given-names>MC</given-names></name> <name><surname>Camacho-Calderon</surname> <given-names>N</given-names></name> <name><surname>Villagr&#x00E1;n-Herrera</surname> <given-names>ME</given-names></name> <name><surname>Aguilar-Galarza</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Perceived stress is directly associated with major consumption of sugar-sweetened beverages among public university students</article-title>. <source>Behav Sci</source>. (<year>2023</year>) <volume>13</volume>:<fpage>232</fpage>. doi: <pub-id pub-id-type="doi">10.3390/bs13030232</pub-id></citation></ref>
<ref id="ref10"><label>10.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stanhope</surname> <given-names>KL</given-names></name></person-group>. <article-title>Sugar consumption, metabolic disease and obesity: the state of the controversy</article-title>. <source>Crit Rev Clin Lab Sci</source>. (<year>2016</year>) <volume>53</volume>:<fpage>52</fpage>&#x2013;<lpage>67</lpage>. doi: <pub-id pub-id-type="doi">10.3109/10408363.2015.1084990</pub-id>, PMID: <pub-id pub-id-type="pmid">26376619</pub-id></citation></ref>
<ref id="ref11"><label>11.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ebbeling</surname> <given-names>CB</given-names></name> <name><surname>Feldman</surname> <given-names>HA</given-names></name> <name><surname>Steltz</surname> <given-names>SK</given-names></name> <name><surname>Quinn</surname> <given-names>NL</given-names></name> <name><surname>Robinson</surname> <given-names>LM</given-names></name> <name><surname>Ludwig</surname> <given-names>DS</given-names></name></person-group>. <article-title>Effects of sugar-sweetened, artificially sweetened, and unsweetened beverages on Cardiometabolic risk factors, body composition, and sweet taste preference: a randomized controlled trial</article-title>. <source>J Am Heart Assoc</source>. (<year>2020</year>) <volume>9</volume>:<fpage>e015668</fpage>. doi: <pub-id pub-id-type="doi">10.1161/JAHA.119.015668</pub-id>, PMID: <pub-id pub-id-type="pmid">32696704</pub-id></citation></ref>
<ref id="ref12"><label>12.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Janssens</surname> <given-names>JP</given-names></name> <name><surname>Shapira</surname> <given-names>N</given-names></name> <name><surname>Debeuf</surname> <given-names>P</given-names></name> <name><surname>Michiels</surname> <given-names>L</given-names></name> <name><surname>Putman</surname> <given-names>R</given-names></name> <name><surname>Bruckers</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Effects of soft drink and table beer consumption on insulin response in normal teenagers and carbohydrate drink in youngsters</article-title>. <source>Eur J Cancer Prev</source>. (<year>1999</year>) <volume>8</volume>:<fpage>289</fpage>&#x2013;<lpage>96</lpage>. doi: <pub-id pub-id-type="doi">10.1097/00008469-199908000-00004</pub-id>, PMID: <pub-id pub-id-type="pmid">10493303</pub-id></citation></ref>
<ref id="ref13"><label>13.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gravenstein</surname> <given-names>KS</given-names></name> <name><surname>Napora</surname> <given-names>JK</given-names></name> <name><surname>Short</surname> <given-names>RG</given-names></name> <name><surname>Ramachandran</surname> <given-names>R</given-names></name> <name><surname>Carlson</surname> <given-names>OD</given-names></name> <name><surname>Metter</surname> <given-names>EJ</given-names></name> <etal/></person-group>. <article-title>Cross-sectional evidence of a signaling pathway from bone homeostasis to glucose metabolism</article-title>. <source>J Clin Endocrinol Metab</source>. (<year>2011</year>) <volume>96</volume>:<fpage>E884</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1210/jc.2010-2589</pub-id>, PMID: <pub-id pub-id-type="pmid">21389141</pub-id></citation></ref>
<ref id="ref14"><label>14.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Malik</surname> <given-names>VS</given-names></name> <name><surname>Hu</surname> <given-names>FB</given-names></name></person-group>. <article-title>Sugar-sweetened beverages and Cardiometabolic health: an update of the evidence</article-title>. <source>Nutrients</source>. (<year>2019</year>) <volume>11</volume>:<fpage>1840</fpage>. doi: <pub-id pub-id-type="doi">10.3390/nu11081840</pub-id>, PMID: <pub-id pub-id-type="pmid">31398911</pub-id></citation></ref>
<ref id="ref15"><label>15.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Malik</surname> <given-names>VS</given-names></name> <name><surname>Hu</surname> <given-names>FB</given-names></name></person-group>. <article-title>Fructose and Cardiometabolic health: what the evidence from sugar-sweetened beverages tells us</article-title>. <source>J Am Coll Cardiol</source>. (<year>2015</year>) <volume>66</volume>:<fpage>1615</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jacc.2015.08.025</pub-id>, PMID: <pub-id pub-id-type="pmid">26429086</pub-id></citation></ref>
<ref id="ref16"><label>16.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Karatoprak</surname> <given-names>C</given-names></name> <name><surname>Ekinci</surname> <given-names>I</given-names></name> <name><surname>Batar</surname> <given-names>N</given-names></name> <name><surname>Zorlu</surname> <given-names>M</given-names></name> <name><surname>Cakirca</surname> <given-names>M</given-names></name> <name><surname>Kiskac</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>The relationship between the frequency of brisk walking and weight loss and other metabolic parameters in obese individuals</article-title>. <source>Acta Med Mediterr</source>. (<year>2019</year>) <volume>35</volume>:<fpage>2125</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.19193/0393-6384_2019_4_333</pub-id></citation></ref>
<ref id="ref17"><label>17.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Melam</surname> <given-names>GR</given-names></name> <name><surname>Alhusaini</surname> <given-names>AA</given-names></name> <name><surname>Buragadda</surname> <given-names>S</given-names></name> <name><surname>Kaur</surname> <given-names>T</given-names></name> <name><surname>Khan</surname> <given-names>IA</given-names></name></person-group>. <article-title>Impact of brisk walking and aerobics in overweight women</article-title>. <source>J Phys Ther Sci</source>. (<year>2016</year>) <volume>28</volume>:<fpage>293</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1589/jpts.28.293</pub-id>, PMID: <pub-id pub-id-type="pmid">26957777</pub-id></citation></ref>
<ref id="ref18"><label>18.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>NSI</surname> <given-names>CKC</given-names></name> <name><surname>AL-SAFI</surname> <given-names>AA</given-names></name></person-group>. <article-title>Effects of brisk walking and resistance training on cardiorespiratory fitness, body composition, and lipid profiles among overweight and obese individuals</article-title>. <source>J Phys Educ Sport</source>. (<year>2016</year>) <volume>16</volume>:<fpage>957</fpage>&#x2013;<lpage>63</lpage>. doi: <pub-id pub-id-type="doi">10.7752/jpes.2016.03151</pub-id></citation></ref>
<ref id="ref19"><label>19.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rahimi</surname> <given-names>M</given-names></name> <name><surname>Torkaman</surname> <given-names>G</given-names></name> <name><surname>Ghabaee</surname> <given-names>M</given-names></name> <name><surname>Ghasem-Zadeh</surname> <given-names>A</given-names></name></person-group>. <article-title>Advanced weight-bearing mat exercises combined with functional electrical stimulation to improve the ability of wheelchair-dependent people with spinal cord injury to transfer and attain independence in activities of daily living: a randomized controlled trial</article-title>. <source>Spinal Cord</source>. (<year>2020</year>) <volume>58</volume>:<fpage>78</fpage>&#x2013;<lpage>85</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41393-019-0328-7</pub-id>, PMID: <pub-id pub-id-type="pmid">31312016</pub-id></citation></ref>
<ref id="ref20"><label>20.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shevchenko</surname> <given-names>Y</given-names></name> <name><surname>Mamontova</surname> <given-names>T</given-names></name> <name><surname>Baranova</surname> <given-names>A</given-names></name> <name><surname>Vesnina</surname> <given-names>L</given-names></name> <name><surname>Kaidashev</surname> <given-names>I</given-names></name></person-group>. <article-title>Changes in lifestyle factors affect the levels of neuropeptides, involved in the control of eating behavior, insulin resistance and level of chronic systemic inflammation in young overweight persons</article-title>. <source>Georgian Med News</source>. (<year>2015</year>) <volume>248</volume>:<fpage>50</fpage>&#x2013;<lpage>7</lpage>.</citation></ref>
<ref id="ref21"><label>21.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mabire</surname> <given-names>L</given-names></name> <name><surname>Mani</surname> <given-names>R</given-names></name> <name><surname>Liu</surname> <given-names>L</given-names></name> <name><surname>Mulligan</surname> <given-names>H</given-names></name> <name><surname>Baxter</surname> <given-names>D</given-names></name></person-group>. <article-title>The influence of age, sex and body mass index on the effectiveness of brisk walking for obesity Management in Adults: a systematic review and Meta-analysis</article-title>. <source>J Phys Act Health</source>. (<year>2017</year>) <volume>14</volume>:<fpage>389</fpage>&#x2013;<lpage>407</lpage>. doi: <pub-id pub-id-type="doi">10.1123/jpah.2016-0064</pub-id>, PMID: <pub-id pub-id-type="pmid">28169568</pub-id></citation></ref>
<ref id="ref22"><label>22.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Power</surname> <given-names>ML</given-names></name> <name><surname>Schulkin</surname> <given-names>J</given-names></name></person-group>. <article-title>Sex differences in fat storage, fat metabolism, and the health risks from obesity: possible evolutionary origins</article-title>. <source>Br J Nutr</source>. (<year>2008</year>) <volume>99</volume>:<fpage>931</fpage>&#x2013;<lpage>40</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0007114507853347</pub-id>, PMID: <pub-id pub-id-type="pmid">17977473</pub-id></citation></ref>
<ref id="ref23"><label>23.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mauvais-Jarvis</surname> <given-names>F</given-names></name></person-group>. <article-title>Sex differences in metabolic homeostasis, diabetes, and obesity</article-title>. <source>Biol Sex Differ</source>. (<year>2015</year>) <volume>6</volume>:<fpage>1</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s13293-015-0033-y</pub-id></citation></ref>
<ref id="ref24"><label>24.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sharkey</surname> <given-names>T</given-names></name> <name><surname>Whatnall</surname> <given-names>MC</given-names></name> <name><surname>Hutchesson</surname> <given-names>MJ</given-names></name> <name><surname>Haslam</surname> <given-names>RL</given-names></name> <name><surname>Bezzina</surname> <given-names>A</given-names></name> <name><surname>Collins</surname> <given-names>CE</given-names></name> <etal/></person-group>. <article-title>Effectiveness of gender-targeted versus gender-neutral interventions aimed at improving dietary intake, physical activity and/or overweight/obesity in young adults (aged 17&#x2013;35 years): a systematic review and meta-analysis</article-title>. <source>Nutr J</source>. (<year>2020</year>) <volume>19</volume>:<fpage>1</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12937-020-00594-0</pub-id></citation></ref>
<ref id="ref25"><label>25.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Van Uffelen</surname> <given-names>JG</given-names></name> <name><surname>Khan</surname> <given-names>A</given-names></name> <name><surname>Burton</surname> <given-names>NW</given-names></name></person-group>. <article-title>Gender differences in physical activity motivators and context preferences: a population-based study in people in their sixties</article-title>. <source>BMC Public Health</source>. (<year>2017</year>) <volume>17</volume>:<fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12889-017-4540-0</pub-id></citation></ref>
<ref id="ref26"><label>26.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Linsenmeyer</surname> <given-names>W</given-names></name> <name><surname>Waters</surname> <given-names>J</given-names></name></person-group>. <article-title>Sex and gender differences in nutrition research: considerations with the transgender and gender nonconforming population</article-title>. <source>Nutr J</source>. (<year>2021</year>) <volume>20</volume>:<fpage>6</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12937-021-00662-z</pub-id>, PMID: <pub-id pub-id-type="pmid">33451300</pub-id></citation></ref>
<ref id="ref27"><label>27.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moon</surname> <given-names>BR</given-names></name> <name><surname>Kang</surname> <given-names>JH</given-names></name> <name><surname>Lee</surname> <given-names>JY</given-names></name> <name><surname>Kong</surname> <given-names>JY</given-names></name></person-group>. <article-title>Analysis of public perception of national obesity management policy</article-title>. <source>Phys Act Nutr</source>. (<year>2023</year>) <volume>27</volume>:<fpage>027</fpage>&#x2013;<lpage>35</lpage>. doi: <pub-id pub-id-type="doi">10.20463/pan.2023.0026</pub-id>, PMID: <pub-id pub-id-type="pmid">37946444</pub-id></citation></ref>
<ref id="ref28"><label>28.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baker</surname> <given-names>A</given-names></name> <name><surname>Mitchell</surname> <given-names>EJ</given-names></name> <name><surname>Thomas</surname> <given-names>KS</given-names></name></person-group>. <article-title>A practical guide to implementing a successful social media recruitment strategy: lessons from the eczema monitoring online trial</article-title>. <source>Trials</source>. (<year>2022</year>) <volume>23</volume>:<fpage>905</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13063-022-06839-z</pub-id>, PMID: <pub-id pub-id-type="pmid">36303217</pub-id></citation></ref>
<ref id="ref29"><label>29.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kulie</surname> <given-names>T</given-names></name> <name><surname>Slattengren</surname> <given-names>A</given-names></name> <name><surname>Redmer</surname> <given-names>J</given-names></name> <name><surname>Counts</surname> <given-names>H</given-names></name> <name><surname>Eglash</surname> <given-names>A</given-names></name> <name><surname>Schrager</surname> <given-names>S</given-names></name></person-group>. <article-title>Obesity and women's health: an evidence-based review</article-title>. <source>J Am Board Fam Med</source>. (<year>2011</year>) <volume>24</volume>:<fpage>75</fpage>&#x2013;<lpage>85</lpage>. doi: <pub-id pub-id-type="doi">10.3122/jabfm.2011.01.100076</pub-id></citation></ref>
<ref id="ref30"><label>30.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hall</surname> <given-names>CW</given-names></name> <name><surname>Holmstrup</surname> <given-names>ME</given-names></name> <name><surname>Koloseus</surname> <given-names>J</given-names></name> <name><surname>Anderson</surname> <given-names>D</given-names></name> <name><surname>Kanaley</surname> <given-names>JA</given-names></name></person-group>. <article-title>Do overweight and obese individuals select a &#x201C;moderate intensity&#x201D; workload when asked to do so?</article-title> <source>J Obes</source>. (<year>2012</year>) <volume>2012</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2012/919051</pub-id>, PMID: <pub-id pub-id-type="pmid">22655176</pub-id></citation></ref>
<ref id="ref31"><label>31.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tudor-Locke</surname> <given-names>C</given-names></name> <name><surname>Aguiar</surname> <given-names>EJ</given-names></name> <name><surname>Han</surname> <given-names>H</given-names></name> <name><surname>Ducharme</surname> <given-names>SW</given-names></name> <name><surname>Schuna</surname> <given-names>JM</given-names></name> <name><surname>Barreira</surname> <given-names>TV</given-names></name> <etal/></person-group>. <article-title>Walking cadence (steps/min) and intensity in 21&#x2013;40 year olds: CADENCE-adults</article-title>. <source>Int J Behav Nutr Phys Act</source>. (<year>2019</year>) <volume>16</volume>:<fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12966-019-0769-6</pub-id></citation></ref>
<ref id="ref32"><label>32.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vargas-Garcia</surname> <given-names>EJ</given-names></name> <name><surname>El Evans</surname> <given-names>C</given-names></name> <name><surname>Cade</surname> <given-names>JE</given-names></name></person-group>. <article-title>Impact of interventions to reduce sugar-sweetened beverage intake in children and adults: a protocol for a systematic review and meta-analysis</article-title>. <source>Syst Rev</source>. (<year>2015</year>) <volume>4</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s13643-015-0008-4</pub-id></citation></ref>
<ref id="ref33"><label>33.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Brustad</surname> <given-names>M</given-names></name> <name><surname>Skeie</surname> <given-names>G</given-names></name> <name><surname>Braaten</surname> <given-names>T</given-names></name> <name><surname>Slimani</surname> <given-names>N</given-names></name> <name><surname>Lund</surname> <given-names>E</given-names></name></person-group>. <article-title>Comparison of telephone vs face-to-face interviews in the assessment of dietary intake by the 24 h recall EPIC SOFT program&#x2014;the Norwegian calibration study</article-title>. <source>Eur J Clin Nutr</source>. (<year>2003</year>) <volume>57</volume>:<fpage>107</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1038/sj.ejcn.1601498</pub-id>, PMID: <pub-id pub-id-type="pmid">12548305</pub-id></citation></ref>
<ref id="ref34"><label>34.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pradal-Cano</surname> <given-names>L</given-names></name> <name><surname>Lozano-Ruiz</surname> <given-names>C</given-names></name> <name><surname>Pereyra-Rodr&#x00ED;guez</surname> <given-names>JJ</given-names></name> <name><surname>Saig&#x00ED;-Rubi&#x00F3;</surname> <given-names>F</given-names></name> <name><surname>Bach-Faig</surname> <given-names>A</given-names></name> <name><surname>Esquius</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>Using mobile applications to increase physical activity: a systematic review</article-title>. <source>Int J Environ Res Public Health</source>. (<year>2020</year>) <volume>17</volume>:<fpage>8238</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijerph17218238</pub-id>, PMID: <pub-id pub-id-type="pmid">33171871</pub-id></citation></ref>
<ref id="ref35"><label>35.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Evenson</surname> <given-names>KR</given-names></name> <name><surname>Goto</surname> <given-names>MM</given-names></name> <name><surname>Furberg</surname> <given-names>RD</given-names></name></person-group>. <article-title>Systematic review of the validity and reliability of consumer-wearable activity trackers</article-title>. <source>Int J Behav Nutr Phys Act</source>. (<year>2015</year>) <volume>12</volume>:<fpage>1</fpage>&#x2013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12966-015-0314-1</pub-id></citation></ref>
<ref id="ref36"><label>36.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Osei-Tutu</surname> <given-names>KB</given-names></name> <name><surname>Campagna</surname> <given-names>PD</given-names></name></person-group>. <article-title>The effects of short-vs. long-bout exercise on mood, VO2max., and percent body fat</article-title>. <source>Prev Med</source>. (<year>2005</year>) <volume>40</volume>:<fpage>92</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ypmed.2004.05.005</pub-id>, PMID: <pub-id pub-id-type="pmid">15530585</pub-id></citation></ref>
<ref id="ref37"><label>37.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sandvei</surname> <given-names>M</given-names></name> <name><surname>Jeppesen</surname> <given-names>PB</given-names></name> <name><surname>Stoen</surname> <given-names>L</given-names></name> <name><surname>Litleskare</surname> <given-names>S</given-names></name> <name><surname>Johansen</surname> <given-names>E</given-names></name> <name><surname>Stensrud</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Sprint interval running increases insulin sensitivity in young healthy subjects</article-title>. <source>Arch Physiol Biochem</source>. (<year>2012</year>) <volume>118</volume>:<fpage>139</fpage>&#x2013;<lpage>47</lpage>. doi: <pub-id pub-id-type="doi">10.3109/13813455.2012.677454</pub-id>, PMID: <pub-id pub-id-type="pmid">22540332</pub-id></citation></ref>
<ref id="ref38"><label>38.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>YS</given-names></name> <name><surname>Nam</surname> <given-names>JS</given-names></name> <name><surname>Yeo</surname> <given-names>DW</given-names></name> <name><surname>Kim</surname> <given-names>KR</given-names></name> <name><surname>Suh</surname> <given-names>SH</given-names></name> <name><surname>Ahn</surname> <given-names>CW</given-names></name></person-group>. <article-title>The effects of aerobic exercise training on serum osteocalcin, adipocytokines and insulin resistance on obese young males</article-title>. <source>Clin Endocrinol</source>. (<year>2015</year>) <volume>82</volume>:<fpage>686</fpage>&#x2013;<lpage>94</lpage>. doi: <pub-id pub-id-type="doi">10.1111/cen.12601</pub-id>, PMID: <pub-id pub-id-type="pmid">25174991</pub-id></citation></ref>
<ref id="ref39"><label>39.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chew</surname> <given-names>HSJ</given-names></name> <name><surname>Rajasegaran</surname> <given-names>NN</given-names></name> <name><surname>Chng</surname> <given-names>S</given-names></name></person-group>. <article-title>Effectiveness of interactive technology-assisted interventions on promoting healthy food choices: a scoping review and meta-analysis</article-title>. <source>Br J Nutr</source>. (<year>2023</year>) <volume>130</volume>:<fpage>1250</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0007114523000193</pub-id></citation></ref>
<ref id="ref40"><label>40.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>YC</given-names></name> <name><surname>Orleans</surname> <given-names>CT</given-names></name> <name><surname>Gortmaker</surname> <given-names>SL</given-names></name></person-group>. <article-title>Reaching the healthy people goals for reducing childhood obesity: closing the energy gap</article-title>. <source>Am J Prev Med</source>. (<year>2012</year>) <volume>42</volume>:<fpage>437</fpage>&#x2013;<lpage>44</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.amepre.2012.01.018</pub-id>, PMID: <pub-id pub-id-type="pmid">22516482</pub-id></citation></ref>
<ref id="ref41"><label>41.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Song Ji</surname> <given-names>Y</given-names></name> <name><surname>Choi</surname> <given-names>M</given-names></name> <name><surname>Kim</surname> <given-names>OY</given-names></name></person-group>. <article-title>Relationship between meal regularity and the metabolic syndrome among Korean single-person household adults under 60 years of age: based on the seventh Korea National Health and nutrition examination survey (2016~2018)</article-title>. <source>J Kor Diet Assoc</source>. (<year>2021</year>) <volume>27</volume>:<fpage>1</fpage>&#x2013;<lpage>14</lpage>. doi: <pub-id pub-id-type="doi">10.14373/JKDA.2021.27.1.1</pub-id></citation></ref>
<ref id="ref42"><label>42.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qadir</surname> <given-names>R</given-names></name> <name><surname>Sculthorpe</surname> <given-names>NF</given-names></name> <name><surname>Todd</surname> <given-names>T</given-names></name> <name><surname>Brown</surname> <given-names>EC</given-names></name></person-group>. <article-title>Effectiveness of resistance training and associated program characteristics in patients at risk for type 2 diabetes: a systematic review and meta-analysis</article-title>. <source>Sports Med Open</source>. (<year>2021</year>) <volume>7</volume>:<fpage>38</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s40798-021-00321-x</pub-id>, PMID: <pub-id pub-id-type="pmid">34050828</pub-id></citation></ref>
<ref id="ref43"><label>43.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pesta</surname> <given-names>DH</given-names></name> <name><surname>Goncalves</surname> <given-names>RL</given-names></name> <name><surname>Madiraju</surname> <given-names>AK</given-names></name> <name><surname>Strasser</surname> <given-names>B</given-names></name> <name><surname>Sparks</surname> <given-names>LM</given-names></name></person-group>. <article-title>Resistance training to improve type 2 diabetes: working toward a prescription for the future</article-title>. <source>Nutr Metab</source>. (<year>2017</year>) <volume>14</volume>:<fpage>1</fpage>&#x2013;<lpage>10</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12986-017-0173-7</pub-id></citation></ref>
</ref-list>
</back>
</article>