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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
<issn pub-type="epub">2296-861X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnut.2025.1664412</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Effects of time-restricted eating on body composition and metabolic parameters in overweight and obese women: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Shiying</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xiaotian</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<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/software/"/>
<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/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kortas</surname>
<given-names>Jakub</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/500123/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<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>Liu</surname>
<given-names>Haitao</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/1786473/overview"/>
<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/"/>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Sport, Gdansk University of Physical Education and Sport</institution>, <addr-line>Gda&#x0144;sk</addr-line>, <country>Poland</country></aff>
<aff id="aff2"><sup>2</sup><institution>College of Physical Education, Henan University</institution>, <addr-line>Kaifeng, Henan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2796766/overview">Lucas Carvalho</ext-link>, Karolinska Institutet (KI), Sweden</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/30937/overview">Stefan Kabisch</ext-link>, Charit&#x00E9; University Medicine Berlin, Germany</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2201415/overview">Mostafa Vaghari-Tabari</ext-link>, Tabriz University of Medical Sciences, Iran</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2813915/overview">Tri Siswati</ext-link>, Health Polytechnic Ministry of Health, Indonesia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Haitao Liu, <email>10180110@vip.henu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1664412</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Chen, Zhang, Kortas and Liu.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chen, Zhang, Kortas and Liu</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>Background</title>
<p>Time-restricted eating (TRE), a subtype of intermittent fasting, is increasingly explored as a dietary strategy for weight and metabolic management. However, its effects in overweight and obese women remain unclear. This systematic review and meta-analysis aimed to evaluate the impact of TRE on body composition and metabolic parameters in this population.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>Following PRISMA guidelines and PROSPERO registration (CRD42024595472), randomized controlled trials were retrieved from eight English and Chinese databases up to August 2024. Eligible studies included adult women (&#x2265;85% female, BMI&#x202F;&#x2265;&#x202F;25&#x202F;kg/m<sup>2</sup>) receiving TRE interventions with or without caloric restriction. Quality was assessed using RoB 2.0 and the PEDro scale. Meta-analyses were conducted using Stata 17.0, with evidence certainty graded using GRADE.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Thirteen RCTs involving 612 participants were included. TRE significantly reduced body weight (WMD&#x202F;=&#x202F;&#x2212;1.927&#x202F;kg, 95% CI: &#x2212;3.688 to &#x2212;0.166, <italic>p</italic>&#x202F;=&#x202F;0.032) and fasting insulin levels (WMD&#x202F;=&#x202F;&#x2212;2.120 &#x03BC;U/mL, 95% CI: &#x2212;4.172 to &#x2212;0.069, <italic>p</italic>&#x202F;=&#x202F;0.043), but showed no significant effects on BMI, fat mass, fat-free mass, visceral fat, blood lipids, glucose, HOMA-IR, or blood pressure (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). Subgroup analysis revealed greater weight reduction with TRE compared to conventional diets (<italic>p</italic>&#x202F;=&#x202F;0.046), but not versus calorie restriction alone (<italic>p</italic>&#x202F;=&#x202F;0.295). No lean mass loss was observed. Four studies reported minor adverse events (e.g., hunger, headache), all self-resolving.</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>TRE is effective in reducing body weight and lowering fasting insulin in overweight and obese women, without negatively affecting lean body mass. Compared with traditional calorie-restricted diets, TRE does not yield superior weight loss, suggesting comparable efficacy. TRE demonstrates a favorable safety profile and better adherence, supporting its clinical feasibility. Further trials with larger samples and longer follow-up are needed to clarify TRE&#x2019;s long-term metabolic effects.</p>
</sec>
<sec id="sec401">
<title>Systematic review registration</title>
<p>The systematic review was registered in PROSPERO. Registration ID: CRD42024595472 URL: <uri xlink:href="https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=459547">https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=459547</uri>.</p>
</sec>
</abstract>
<kwd-group>
<kwd>intermittent fasting</kwd>
<kwd>time restricted eating</kwd>
<kwd>obesity</kwd>
<kwd>metabolism</kwd>
<kwd>female</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="74"/>
<page-count count="12"/>
<word-count count="8625"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nutrition and Metabolism</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>The increasing severity of global health issues has positioned obesity and its related chronic diseases as a major public health challenge (<xref ref-type="bibr" rid="ref1">1</xref>). Obesity not only elevates individual healthcare burdens but also exerts profound socioeconomic impacts. To address this challenge, researchers and healthcare practitioners have persistently sought effective weight management strategies. Traditionally recommended Calorie Restriction (CR) refers to reducing energy intake below the caloric requirement for maintaining current body weight (<xref ref-type="bibr" rid="ref2">2</xref>). This intervention induces secondary physiological adaptations such as increased appetite, decreased physical activity, and hormonal fluctuations that promote fat deposition while accelerating muscle catabolism (<xref ref-type="bibr" rid="ref3">3</xref>). Subjects often struggle to maintain long-term adherence to this strategy (<xref ref-type="bibr" rid="ref4">4</xref>), with prolonged implementation carrying a high risk of weight regain. Observations indicate that adherence to sustained CR begins to decline approximately 1 month post-intervention, with progressive deterioration thereafter (<xref ref-type="bibr" rid="ref5">5</xref>). Therefore, there is a critical need to develop innovative dietary strategies to manage weight effectively. Beyond energy balance, obesity features chronic low-grade inflammation and metabolic endotoxemia that together impair insulin sensitivity and cardiometabolic health (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref7">7</xref>). In line with their circadian regulation, meal timing is biologically meaningful (<xref ref-type="bibr" rid="ref8">8</xref>), motivating evaluation of time-focused dietary strategies such as Intermittent fasting (IF) and TRE.</p>
<p>IF, a dietary regimen comprising regulated fasting-feeding cycles (<xref ref-type="bibr" rid="ref9">9</xref>), has gained significant scientific attention as a promising weight-management approach (<xref ref-type="bibr" rid="ref10">10</xref>). Unlike traditional calorie restriction, IF primarily focuses on the temporal regulation of food intake rather than caloric quantity itself (<xref ref-type="bibr" rid="ref11">11</xref>), including TRE, alternate-day fasting (ADF), and the 5:2 regimen (<xref ref-type="bibr" rid="ref12">12</xref>). TRE confines eating to a consistent daily window&#x2014;typically 4&#x2013;12&#x202F;h, with the 16:8 pattern being most common&#x2014;with an extended overnight fast and usually without prescribed caloric restriction, emphasizing when food is eaten rather than how much (<xref ref-type="bibr" rid="ref13">13</xref>). By contrast, ADF and the 5:2 regimen manipulate intake across days (<xref ref-type="bibr" rid="ref14">14</xref>). Based on circadian alignment of feeding windows, TRE is classified into two subtypes: early TRE (eTRE) includes breakfast, while delayed TRE (dTRE) shifts the window toward the evening meal.</p>
<p>TRE has been associated with good adherence in free-living conditions, due to its simplicity and minimal need for calorie tracking (<xref ref-type="bibr" rid="ref15">15</xref>, <xref ref-type="bibr" rid="ref16">16</xref>). IF may confer benefits through multiple pathways, including attenuated oxidative stress, improved circadian rhythm regulation, and enhanced ketogenesis (<xref ref-type="bibr" rid="ref17">17</xref>). Clinical studies in adults indicate that TRE may promote weight loss primarily by reducing energy intake rather than altering energy expenditure, even in the absence of deliberate CR (<xref ref-type="bibr" rid="ref18">18</xref>). However, evidence regarding the efficacy of TRE remains inconclusive, particularly among women with overweight or obesity. Published meta-analyses have extensively investigated diverse IF regimens, yet most lump TRE with other IF modalities, failing to isolate its specific effects. This conflation likely masks TRE-specific outcomes, impeding a clear understanding of its distinct potential in weight control and metabolic improvement. Over the past three decades, the global prevalence of overweight and obesity in women has risen sharply, with recent estimates indicating that more than half of adult women are affected (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Coupled with well-documented sex-based differences in metabolic regulation, hormonal responses, and body fat distribution (<xref ref-type="bibr" rid="ref21">21</xref>), this underscores the need for sex-specific evaluations of TRE in female populations. Moreover, given the documented sex-specific responses (<xref ref-type="bibr" rid="ref22">22</xref>), dedicated studies are warranted to evaluate TRE&#x2019;s gender-dimorphic effects. Therefore, this systematic review aims to assess TRE&#x2019;s effects on anthropometric parameters and metabolic profiles in women (aged &#x2265; 18&#x202F;years) with overweight/obesity, with the aim of informing clinical dietary practice and identifying priorities for future research.</p>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<sec id="sec7">
<title>Registration and protocol</title>
<p>This systematic review and meta-analysis adhered to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines (<xref ref-type="bibr" rid="ref23">23</xref>), and its protocol is registered on PROSPERO under the number CRD42024595472 (<xref ref-type="sec" rid="sec49">Appendix 1</xref>).</p>
</sec>
<sec id="sec8">
<title>Data source and search strategy</title>
<p>We systematically searched eight electronic databases (PubMed, Embase, Web of Science, Cochrane Library, CNKI, WanFang, VIP, and CBM) from inception through August 11, 2024. The search strategy aimed to identify all published RCTs evaluating the efficacy of TRE (&#x2264;12-h eating windows) for improving body composition (primary outcome) and metabolic parameters (secondary outcomes) in adult women (&#x2265;18&#x202F;years) with overweight and obesity (BMI&#x202F;&#x2265;&#x202F;25&#x202F;kg/m<sup>2</sup>). Search terms were systematically developed using the PICO framework: (1) population (e.g., &#x201C;obesity&#x201D; &#x201C;overweight&#x201D;), (2) intervention (e.g., &#x201C;time-restricted eating&#x201D; &#x201C;intermittent fasting&#x201D; &#x201C;TRE&#x201D;), (3) outcomes (e.g., &#x201C;weight loss&#x201D; &#x201C;body fat&#x201D;), and (4) study design (e.g., &#x201C;randomized controlled trial,&#x201D; &#x201C;RCT&#x201D;). We employed a combination of controlled vocabulary (MeSH/Emtree terms) and free-text terms across title/abstract/keyword fields, with language restrictions limited to English and Chinese. The complete search strategy for database is provided in <xref ref-type="sec" rid="sec49">Supplementary Table S1</xref>. To ensure comprehensive coverage, the reference lists of identified publications were manually screened to locate studies eligible for inclusion (<xref ref-type="bibr" rid="ref24">24</xref>).</p>
</sec>
<sec id="sec9">
<title>Inclusion and exclusion criteria</title>
<p>Inclusion and exclusion criteria are shown in <xref ref-type="table" rid="tab1">Table 1</xref>. Only language (English and Chinese) were applied as restrictions to the search.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Eligibility criteria based on PICO framework.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th/>
<th align="left" valign="top">Inclusion criteria</th>
<th align="left" valign="top">Exclusion criteria</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Types of study</td>
<td align="left" valign="top">&#x2022;Randomized controlled trials (RCTs, parallel design)<break/>&#x2022;Chinese/English publications</td>
<td align="left" valign="top">&#x2022;Reviews/meta-analyses<break/>&#x2022;Animal studies<break/>&#x2022;Conference abstracts without full data</td>
</tr>
<tr>
<td align="left" valign="top">Participants</td>
<td align="left" valign="top">&#x2022;Adults &#x003E;18&#x202F;years<break/>&#x2022;Female proportion &#x2265;85%<break/>&#x2022;Overweight and obese (BMI&#x202F;&#x2265;&#x202F;25)</td>
<td align="left" valign="top">&#x2022;Severe comorbidities (cancer, hyperthyroidism, diabetes)<break/>&#x2022;Baseline imbalance (P&#x202F;&#x003C;&#x202F;0.05)</td>
</tr>
<tr>
<td align="left" valign="top">Intervention</td>
<td align="left" valign="top">&#x2022;Time Restricted Eating</td>
<td align="left" valign="top">&#x2022;TRE not verifiable</td>
</tr>
<tr>
<td align="left" valign="top">Comparators</td>
<td align="left" valign="top">&#x2022;No intervention<break/>&#x2022;Regular low-calorie diet</td>
<td align="left" valign="top">&#x2022;Inter-method comparisons</td>
</tr>
<tr>
<td align="left" valign="top">Outcomes</td>
<td align="left" valign="top">&#x2022;Primary:<break/>&#x2460; Weight change<break/>&#x2022;Secondary:<break/>&#x2461; BMI &#x2462; FBG &#x2463; TG &#x2464; FM &#x2465; FFM &#x2466; LM &#x2467; VFM &#x2468; LDL &#x2469; HDL &#x246A; TC &#x246B; FPI &#x246C; HOMA-IR &#x246D; SBP &#x246E; DBP</td>
<td align="left" valign="top">&#x2022;Outcomes not reported or qualitatively analyzed only</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Intervention (I): TRE was operationalized as a within-day feeding schedule with a pre-specified; Timing (T): no a priori minimum duration; included RCTs ranged 6&#x2013;52&#x202F;weeks (see <xref ref-type="table" rid="tab2">Table 2</xref>); BMI, Body Mass Index; FBG, Fasting Blood Glucose; TG, Triglycerides; FM, Fat Mass; FFM, Fat-Free Mass; LM, Lean Mass; VFM, Visceral Fat Mass; LDL, Low-Density Lipoprotein; HDL, High-Density Lipoprotein; TC, Total Cholesterol; FPI, Fasting Plasma Insulin; HOMA-IR, Homeostatic Model Assessment for Insulin Resistance; SBP, Systolic Blood Pressure; DBP, Diastolic Blood Pressure.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec10">
<title>Quality assessment</title>
<p>Two reviewers (ZXT and CSY) evaluated the RoB using Version 2 of the Cochrane risk-of-bias tool (RoB 2) (<xref ref-type="bibr" rid="ref25">25</xref>). The assessment covered domains including random sequence generation, allocation concealment, blinding of participants, providers and outcome assessment, incomplete outcome data, and selective outcome reporting. Adherence issues were considered under RoB 2 (deviations from intended interventions). Every domain was determined to be of high, moderate, or low RoB. Disagreements were resolved by consensus between CSY and ZXT; if consensus could not be reached, a third reviewer (LHT) adjudicated the final judgment.</p>
<p>The Grading of Recommendations, Assessment, Development and Evaluation approach (GRADE) was employed to assess the certainty of the evidence (<xref ref-type="bibr" rid="ref26">26</xref>). If sufficient publications were identified (<italic>n</italic>&#x202F;&#x2265;&#x202F;10), the funnel-plot (visually asymmetry or not) with Egger&#x2019;s regression test (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 indicates the presence of publication bias) was conducted to test publication bias (<xref ref-type="bibr" rid="ref27">27</xref>).</p>
</sec>
<sec id="sec11">
<title>Data extraction</title>
<p>The following details were extracted: study characteristics consisting of first author, country, year of publication, study design; demographic characteristics of participants: gender, age, sample size; study design including diet plan, intervention mode and period, additional interventions; outcomes such as weight change, BMI and assessment method; comparators; results of pre&#x2013;post data, means and standard deviations of targeted outcomes.</p>
</sec>
<sec id="sec12">
<title>Data synthesis</title>
<p>We separately performed pairwise meta-analyses for each of the primary outcome measures using Stata 17. Weighted mean difference (WMD) was used to establish the effect sizes of TRE compared to the usual care control. Cochrane Q-test and Higgins and Green&#x2019;s <italic>I<sup>2</sup></italic> test were used to test heterogeneity. A <italic>p</italic>-value less than 0.05 for Cochrane Q-test or an <italic>I<sup>2</sup></italic> statistic higher than 50% would indicate the presence of significant heterogeneity. Random-effect analysis would be applied when substantial heterogeneity existed among included studies (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
</sec>
<sec id="sec13">
<title>Data presentation</title>
<p>Study characteristics and outcome data were systematically summarized in tables. The primary effect measure was weighted mean difference (WMD) with 95% confidence intervals (CI) for continuous outcomes.</p>
</sec>
</sec>
<sec sec-type="results" id="sec14">
<title>Results</title>
<sec id="sec15">
<title>Study selection</title>
<p>Our systematic search identified 4,482 records. After removing 1,410 duplicates, we screened 3,072 titles/abstracts, excluding 2,928 irrelevant studies. Full-text review of 144 articles excluded 131 for: ineligible interventions (<italic>n</italic>&#x202F;=&#x202F;10), wrong settings (<italic>n</italic>&#x202F;=&#x202F;58), and unavailable outcome data (<italic>n</italic>&#x202F;=&#x202F;63).</p>
<p>Thirteen RCTs (<italic>n</italic>&#x202F;=&#x202F;612 participants) met all inclusion criteria and provided sufficient data for WMD calculations. The selection process followed PRISMA guidelines (<xref ref-type="fig" rid="fig1">Figure 1</xref>), with independent dual-reviewer screening. Study characteristics are summarized in <xref ref-type="table" rid="tab2">Table 2</xref>.</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>PRISMA flow diagram. PRISMA flow diagram delineates the systematic process of identifying and screening studies across multiple databases, culminating in selecting 13 studies.</p>
</caption>
<graphic xlink:href="fnut-12-1664412-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart depicting the identification and screening process for studies via databases and registers. Initially, 3,972 records were identified across multiple databases, with 1,410 duplicates removed. After screening 3,072 records, 2,928 were excluded. Of 144 reports sought, none were unretrieved. Upon assessing eligibility, 131 reports were excluded due to ineligibility, wrong setting, or unavailable data. Ultimately, 13 studies were included in the review.</alt-text>
</graphic>
</fig>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Characteristics of included studies.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Study</th>
<th align="left" valign="top" rowspan="2">Country</th>
<th align="center" valign="top" colspan="2">Age</th>
<th align="center" valign="top" colspan="2">Number of participant (female/male)</th>
<th align="center" valign="top" colspan="2">Intervention characteristics</th>
<th align="center" valign="top" rowspan="2">Duration</th>
<th align="center" valign="top" rowspan="2">Outcome</th>
</tr>
<tr>
<th align="center" valign="top">T</th>
<th align="center" valign="top">C</th>
<th align="center" valign="top">T</th>
<th align="center" valign="top">C</th>
<th align="left" valign="top">T</th>
<th align="left" valign="top">C</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Amodio et al. (<xref ref-type="bibr" rid="ref31">31</xref>) (2016)</td>
<td align="left" valign="middle">Italy</td>
<td align="center" valign="middle">55.6&#x202F;&#x00B1;&#x202F;5.0</td>
<td align="center" valign="middle">55.6&#x202F;&#x00B1;&#x202F;5.0</td>
<td align="center" valign="middle">12 (12/0)</td>
<td align="center" valign="middle">11 (11/0)</td>
<td align="left" valign="middle">TRE,8&#x202F;h&#x202F;+&#x202F;CR</td>
<td align="left" valign="middle">CR</td>
<td align="center" valign="middle">45d</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x2462;&#x2463;</td>
</tr>
<tr>
<td align="left" valign="middle">Domaszewski et al. (<xref ref-type="bibr" rid="ref32">32</xref>) (2020)</td>
<td align="left" valign="middle">Poland</td>
<td align="center" valign="middle">65.0&#x202F;&#x00B1;&#x202F;4.0</td>
<td align="center" valign="middle">66&#x202F;&#x00B1;&#x202F;4.7</td>
<td align="center" valign="middle">25 (25/0)</td>
<td align="center" valign="middle">20 (20/0)</td>
<td align="left" valign="middle">TRE,8&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">42d</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x2464;&#x2465;</td>
</tr>
<tr>
<td align="left" valign="middle">Haganes et al. (<xref ref-type="bibr" rid="ref33">33</xref>) (2022)</td>
<td align="left" valign="middle">Norway</td>
<td align="center" valign="middle">36.2&#x202F;&#x00B1;&#x202F;5.9</td>
<td align="center" valign="middle">36.4&#x202F;&#x00B1;&#x202F;6.2</td>
<td align="center" valign="middle">21 (21/0)</td>
<td align="center" valign="middle">29 (29/0)</td>
<td align="left" valign="middle">TRE,10&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">49d</td>
<td align="center" valign="middle">&#x2460;&#x2462;&#x2463;&#x2464;&#x2468;&#x2469;&#x246A;&#x246C;&#x246D;&#x246E;</td>
</tr>
<tr>
<td align="left" valign="middle">Lin et al. (<xref ref-type="bibr" rid="ref34">34</xref>) (2021)</td>
<td align="left" valign="middle">China</td>
<td align="center" valign="middle">50.1&#x202F;&#x00B1;&#x202F;7.5</td>
<td align="center" valign="middle">54.2&#x202F;&#x00B1;&#x202F;7.9</td>
<td align="center" valign="middle">30 (30/0)</td>
<td align="center" valign="middle">33 (33/0)</td>
<td align="left" valign="middle">TRE,8&#x202F;h&#x202F;+&#x202F;DCR</td>
<td align="left" valign="middle">CR</td>
<td align="center" valign="middle">56d</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x2462;&#x2463;&#x2465;&#x2467;&#x2468;&#x2469;&#x246A;&#x246B;&#x246C;&#x246D;&#x246E;</td>
</tr>
<tr>
<td align="left" valign="middle">Domaszewski et al. (<xref ref-type="bibr" rid="ref35">35</xref>) (2023)</td>
<td align="left" valign="middle">Poland</td>
<td align="center" valign="middle">69.7&#x202F;&#x00B1;&#x202F;3.1</td>
<td align="center" valign="middle">68.8&#x202F;&#x00B1;&#x202F;3.45</td>
<td align="center" valign="middle">29 (29/0)</td>
<td align="center" valign="middle">28 (28/0)</td>
<td align="left" valign="middle">TRE,8&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">42d</td>
<td align="center" valign="middle">&#x2460;&#x2461;</td>
</tr>
<tr>
<td align="left" valign="middle">Irani et al. (<xref ref-type="bibr" rid="ref36">36</xref>) (2024)</td>
<td align="left" valign="middle">Iran</td>
<td align="center" valign="middle">43.6&#x202F;&#x00B1;&#x202F;9.3</td>
<td align="center" valign="middle">41.0&#x202F;&#x00B1;&#x202F;8.3</td>
<td align="center" valign="middle">29 (29/0)</td>
<td align="center" valign="middle">27 (27/0)</td>
<td align="left" valign="middle">TRE,10&#x202F;h&#x202F;+&#x202F;CD</td>
<td align="left" valign="middle">CD</td>
<td align="center" valign="middle">56d</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x2464;</td>
</tr>
<tr>
<td align="left" valign="middle">Chow et al. (<xref ref-type="bibr" rid="ref37">37</xref>) (2020)</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">46.5&#x202F;&#x00B1;&#x202F;12.4</td>
<td align="center" valign="middle">44.2&#x202F;&#x00B1;&#x202F;12.3</td>
<td align="center" valign="middle">11 (9/2)</td>
<td align="center" valign="middle">9 (8/1)</td>
<td align="left" valign="middle">TRE,8&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">84d</td>
<td align="center" valign="middle">&#x2460;&#x2462;&#x2463;&#x2464;&#x2466;&#x2467; &#x2468;&#x2469;&#x246B;&#x246C;&#x246D;&#x246E;</td>
</tr>
<tr>
<td align="left" valign="middle">Cienfuegos et al. (<xref ref-type="bibr" rid="ref29">29</xref>), TRE4h (2020)</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">49.0&#x202F;&#x00B1;&#x202F;2.0</td>
<td align="center" valign="middle">45.0&#x202F;&#x00B1;&#x202F;2.0</td>
<td align="center" valign="middle">16 (14/2)</td>
<td align="center" valign="middle">14 (12/2)</td>
<td align="left" valign="middle">TRE,4&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">56d</td>
<td align="center" valign="middle">&#x2460;&#x2464;&#x2466;&#x2467;</td>
</tr>
<tr>
<td align="left" valign="middle">Cienfuegos et al. (<xref ref-type="bibr" rid="ref29">29</xref>), TRE6h (2020)</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">46.0&#x202F;&#x00B1;&#x202F;3.0</td>
<td align="center" valign="middle">45&#x202F;&#x00B1;&#x202F;2.0</td>
<td align="center" valign="middle">19 (18/1)</td>
<td align="center" valign="middle">14 (12/2)</td>
<td align="left" valign="middle">TRE,6&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">56d</td>
<td align="center" valign="middle">&#x2460;&#x2464;&#x2466;&#x2467;</td>
</tr>
<tr>
<td align="left" valign="middle">Thoma et al. (<xref ref-type="bibr" rid="ref38">38</xref>) (2022)</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">38.3&#x202F;&#x00B1;&#x202F;7.9</td>
<td align="center" valign="middle">37.8&#x202F;&#x00B1;&#x202F;7.8</td>
<td align="center" valign="middle">41 (34/7)</td>
<td align="center" valign="middle">40 (35/5)</td>
<td align="left" valign="middle">eTRE,10&#x202F;h&#x202F;+&#x202F;DCR</td>
<td align="left" valign="middle">CR</td>
<td align="center" valign="middle">84d</td>
<td align="center" valign="middle">&#x2460;&#x2464;&#x2466;</td>
</tr>
<tr>
<td align="left" valign="middle">Fagundes et al. (<xref ref-type="bibr" rid="ref39">39</xref>) (2022)</td>
<td align="left" valign="middle">Brazil</td>
<td align="center" valign="middle">36.2&#x202F;&#x00B1;&#x202F;10.4</td>
<td align="center" valign="middle">31.1&#x202F;&#x00B1;&#x202F;5.6</td>
<td align="center" valign="middle">24 (24/0)</td>
<td align="center" valign="middle">12 (12/0)</td>
<td align="left" valign="middle">TRE,8&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">56d</td>
<td align="center" valign="middle">&#x2460;</td>
</tr>
<tr>
<td align="left" valign="middle">J&#x00E9;ssica et al. (<xref ref-type="bibr" rid="ref30">30</xref>), eTR (2022)</td>
<td align="left" valign="middle">Brazil</td>
<td align="center" valign="middle">33.0&#x202F;&#x00B1;&#x202F;6.0</td>
<td align="center" valign="middle">26.0&#x202F;&#x00B1;&#x202F;4.0</td>
<td align="center" valign="middle">13 (11/2)</td>
<td align="center" valign="middle">13 (11/2)</td>
<td align="left" valign="middle">eTRE, 8&#x202F;h&#x202F;+&#x202F;CR</td>
<td align="left" valign="middle">CR</td>
<td align="center" valign="middle">56d</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;&#x2465;&#x2468;&#x2469;&#x246A;&#x246B;&#x246C;</td>
</tr>
<tr>
<td align="left" valign="middle">J&#x00E9;ssica et al. (<xref ref-type="bibr" rid="ref30">30</xref>), dTR (2022)</td>
<td align="left" valign="middle">Brazil</td>
<td align="center" valign="middle">30.0&#x202F;&#x00B1;&#x202F;7.0</td>
<td align="center" valign="middle">26.0&#x202F;&#x00B1;&#x202F;4.0</td>
<td align="center" valign="middle">11 (9/2)</td>
<td align="center" valign="middle">13 (11/2)</td>
<td align="left" valign="middle">dTRE, 8&#x202F;h&#x202F;+&#x202F;CR</td>
<td align="left" valign="middle">CR</td>
<td align="center" valign="middle">56d</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x2462;&#x2463;&#x2464;&#x2465;&#x2468;&#x2469;&#x246A;&#x246B;&#x246C;</td>
</tr>
<tr>
<td align="left" valign="middle">Maruthur et al. (<xref ref-type="bibr" rid="ref40">40</xref>) (2024)</td>
<td align="left" valign="middle">USA</td>
<td align="center" valign="middle">59.7&#x202F;&#x00B1;&#x202F;7.0</td>
<td align="center" valign="middle">59.1&#x202F;&#x00B1;&#x202F;7.5</td>
<td align="center" valign="middle">21 (19/2)</td>
<td align="center" valign="middle">20 (19/1)</td>
<td align="left" valign="middle">TRE,10&#x202F;h</td>
<td align="left" valign="middle">usual diet</td>
<td align="center" valign="middle">84d</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x2462;&#x2463;&#x2469;&#x246A;&#x246C;&#x246D;&#x246E;</td>
</tr>
<tr>
<td align="left" valign="middle">Pureza et al. (<xref ref-type="bibr" rid="ref41">41</xref>) (2020)</td>
<td align="left" valign="middle">Brazil</td>
<td align="center" valign="middle">31.8&#x202F;&#x00B1;&#x202F;7.0</td>
<td align="center" valign="middle">31.0&#x202F;&#x00B1;&#x202F;0.16</td>
<td align="center" valign="middle">13 (13/0)</td>
<td align="center" valign="middle">14 (14/0)</td>
<td align="left" valign="middle">TRE,12&#x202F;h&#x202F;+&#x202F;CR</td>
<td align="left" valign="middle">CR</td>
<td align="center" valign="middle">12&#x6708;</td>
<td align="center" valign="middle">&#x2460;&#x2461;&#x246D;&#x246E;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>T, Experimental group; C, Control group; M, Male; F, Female; CR, Calorie restriction. &#x2460; Weight change. &#x2461; BMI. &#x2462; FBG. &#x2463; TG. &#x2464; FM. &#x2465; FFM. &#x2466; LM. &#x2467; VFM. &#x2468; LDL. &#x2469; HDL. &#x246A; TC. &#x246B; FPI. &#x246C; HOMA-IR. &#x246D; SBP. &#x246E; DBP.</p>
</table-wrap-foot>
</table-wrap>
<p>Our systematic review identified 13 randomized controlled trials (RCTs) with a total of 612 participants (intervention: <italic>n</italic>&#x202F;=&#x202F;315; control: <italic>n</italic>&#x202F;=&#x202F;297), all providing complete outcome data. Two studies employed three-arm designs: Cienfuegos (<xref ref-type="bibr" rid="ref29">29</xref>) compared 4-h TRE and 6-h TRE against a shared blank control, and Queiroz (<xref ref-type="bibr" rid="ref30">30</xref>) compared early TRE and delayed TRE against a shared CR control; these designs yielded 15 pairwise comparisons in total. For synthesis, analyses were stratified by caloric-restriction (CR) status; the dataset comprised seven comparisons of TRE&#x202F;+&#x202F;CR vs. CR and eight comparisons of ad libitum TRE vs. blank control. In multi-arm trials, the shared control was split equally between comparisons to avoid double-counting.</p>
</sec>
<sec id="sec16">
<title>Confidence in cumulative evidence</title>
<p>Results concerning the risk of bias in each domain are shown in <xref ref-type="fig" rid="fig2">Figures 2</xref>, <xref ref-type="fig" rid="fig3">3</xref>. Two reviewers (ZXT and CSY) evaluated the RoB using Version 2 of the Cochrane risk-of-bias tool (RoB 2) (<xref ref-type="bibr" rid="ref25">25</xref>). Most of the studies were considered to carry moderate risk (<xref ref-type="sec" rid="sec49">Supplementary Table S2</xref>). One exception was rated as carrying a high risk of bias. The Physiotherapy Evidence Database (PEDro) scale further confirmed study quality, with all included trials scoring &#x2265; 5 (<xref ref-type="sec" rid="sec49">Supplemental Table S3</xref>). For publication bias assessment, funnel plot analysis and Egger&#x2019;s test showed no significant asymmetry (<xref ref-type="sec" rid="sec49">Supplemental Figure S1</xref>).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Risk ratio of bias.</p>
</caption>
<graphic xlink:href="fnut-12-1664412-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar charts comparing bias in two methodologies. The top chart (intention-to-treat) and the bottom chart (per protocol) show risk levels: low (green), some concerns (yellow), and high (red) for six criteria: overall bias, selection of reported results, measurement of outcomes, missing outcome data, deviations from intended interventions, and randomization process. Intention-to-treat shows higher risk in some areas compared to per protocol.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Bias assessment of included literatures.</p>
</caption>
<graphic xlink:href="fnut-12-1664412-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Risk of bias summary table for various studies, showing risk levels across five domains: randomisation process, deviations from interventions, missing outcome data, outcome measurement, and result selection. Green circles indicate low risk, yellow circles indicate some concerns, and red circles indicate high risk. Overall risk is similarly rated. The table includes studies by authors such as D. Amodio et al. and Haganes et al.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec17">
<title>Meta-analysis</title>
<p>We performed a systematic meta-analysis examining 15 distinct outcome measures across four physiological domains: body composition, lipid metabolism, glucose metabolism, and blood pressure in the study participants.</p>
<sec id="sec18">
<title>Effect of time-restricted eating on body composition</title>
<sec id="sec19">
<title>Effect of time-restricted eating on body weight</title>
<p>The outcomes of 14 randomized controlled trials (<xref ref-type="bibr" rid="ref29 ref30 ref31 ref32 ref33 ref34 ref35 ref36 ref37 ref38 ref39 ref40">29&#x2013;40</xref>) included body weight, with a total sample size of 585. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.559, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had a significant effect on weight loss in overweight or obese participants (WMD&#x202F;=&#x202F;&#x2212;1.927, 95% CI&#x202F;=&#x202F;&#x2212;3.688 to &#x2212;0.166, <italic>p</italic>&#x202F;=&#x202F;0.032), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.345). In prespecified subgroup analyses by caloric-restriction (CR) status, only body weight showed a differential effect (ad libitum TRE&#x202F;&#x003E;&#x202F;blank), whereas TRE&#x202F;+&#x202F;CR did not differ from CR and no consistent subgroup effects were observed for other endpoints (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Meta-analysis results of TRE on female body composition and metabolic parameters.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Outcome</th>
<th align="left" valign="top" rowspan="2">Group</th>
<th align="center" valign="top" rowspan="2">Number of study</th>
<th align="center" valign="top" rowspan="2">Number of participant</th>
<th align="center" valign="top" colspan="2">Heterogeneity</th>
<th align="left" valign="top">Model</th>
<th align="center" valign="top" colspan="3">Summary of findings</th>
</tr>
<tr>
<th align="center" valign="top">
<italic>I</italic>
<sup>2</sup>
</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
<th align="left" valign="top">Selection</th>
<th align="center" valign="top">WMD</th>
<th align="center" valign="top">95%CI</th>
<th align="center" valign="top">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle" rowspan="3">Weight</td>
<td align="left" valign="middle">All</td>
<td align="center" valign="top">14 (<xref ref-type="bibr" rid="ref29 ref30 ref31 ref32 ref33 ref34 ref35 ref36 ref37 ref38 ref39 ref40">29&#x2013;40</xref>)</td>
<td align="center" valign="middle">585</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.559</td>
<td align="left" valign="middle">Fixed</td>
<td align="center" valign="middle">&#x2212;1.927</td>
<td align="center" valign="middle">&#x2212;3.688, &#x2212;0.166</td>
<td align="center" valign="middle">0.032&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">TRE</td>
<td align="center" valign="top">8 (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="center" valign="middle">312</td>
<td align="center" valign="middle">12.3%</td>
<td align="center" valign="middle">0.334</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;2.569</td>
<td align="center" valign="middle">&#x2212;5.089, &#x2212;0.048</td>
<td align="center" valign="middle">0.046&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">TRE&#x202F;+&#x202F;HD</td>
<td align="center" valign="top">6 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref38">38</xref>)</td>
<td align="center" valign="middle">273</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.676</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;1.316</td>
<td align="center" valign="middle">&#x2212;3.776, 1.145</td>
<td align="center" valign="middle">0.295</td>
</tr>
<tr>
<td align="left" valign="middle">BMI</td>
<td align="left" valign="middle">All</td>
<td align="center" valign="top">9 (<xref ref-type="bibr" rid="ref30 ref31 ref32">30&#x2013;32</xref>, <xref ref-type="bibr" rid="ref34 ref35 ref36">34&#x2013;36</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="center" valign="middle">362</td>
<td align="center" valign="middle">12.9%</td>
<td align="center" valign="middle">0.327</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;0.424</td>
<td align="center" valign="middle">&#x2212;1.068, 0.221</td>
<td align="center" valign="middle">0.197</td>
</tr>
<tr>
<td align="left" valign="middle">FBG</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">7 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="center" valign="middle">246</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.668</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">0.685</td>
<td align="center" valign="middle">&#x2212;1.317, 2.687</td>
<td align="center" valign="middle">0.502</td>
</tr>
<tr>
<td align="left" valign="middle">TG</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">7 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="center" valign="middle">245</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.859</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">2.760</td>
<td align="center" valign="middle">&#x2212;8.117, 13.637</td>
<td align="center" valign="middle">0.619</td>
</tr>
<tr>
<td align="left" valign="middle">FM</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">9 (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref36 ref37 ref38">36&#x2013;38</xref>)</td>
<td align="center" valign="middle">365</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.655</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;1.196</td>
<td align="center" valign="middle">&#x2212;2.799, 0.407</td>
<td align="center" valign="middle">0.144</td>
</tr>
<tr>
<td align="left" valign="middle">FFM</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">4 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref34">34</xref>)</td>
<td align="center" valign="middle">158</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.881</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">0.417</td>
<td align="center" valign="middle">&#x2212;1.210, 2.044</td>
<td align="center" valign="middle">0.615</td>
</tr>
<tr>
<td align="left" valign="middle">LM</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">4 (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>)</td>
<td align="center" valign="middle">164</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.662</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">1.212</td>
<td align="center" valign="middle">&#x2212;1.734, 4.158</td>
<td align="center" valign="middle">0.420</td>
</tr>
<tr>
<td align="left" valign="middle">VFM</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">4 (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>)</td>
<td align="center" valign="middle">146</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.635</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">0.032</td>
<td align="center" valign="middle">&#x2212;0.209, 0.273</td>
<td align="center" valign="middle">0.795</td>
</tr>
<tr>
<td align="left" valign="middle">LDL</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">4 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>)</td>
<td align="center" valign="middle">156</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.980</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;3.214</td>
<td align="center" valign="middle">&#x2212;12.548, 6.120</td>
<td align="center" valign="middle">0.500</td>
</tr>
<tr>
<td align="left" valign="middle">HDL</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">6 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="center" valign="middle">222</td>
<td align="center" valign="middle">21.8%</td>
<td align="center" valign="middle">0.270</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;1.364</td>
<td align="center" valign="middle">&#x2212;4.218, 1.489</td>
<td align="center" valign="middle">0.349</td>
</tr>
<tr>
<td align="left" valign="middle">TC</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">5 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="center" valign="middle">202</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.409</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">4.075</td>
<td align="center" valign="middle">&#x2212;4.115, 12.264</td>
<td align="center" valign="middle">0.329</td>
</tr>
<tr>
<td align="left" valign="middle">FPI</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">5 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>)</td>
<td align="center" valign="middle">181</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.504</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;2.120</td>
<td align="center" valign="middle">&#x2212;4.172,&#x2212;0.069</td>
<td align="center" valign="middle">0.043&#x002A;</td>
</tr>
<tr>
<td align="left" valign="middle">HOMA-IR</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">5 (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>)</td>
<td align="center" valign="middle">174</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.868</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">&#x2212;0.438</td>
<td align="center" valign="middle">&#x2212;1.026, 0.149</td>
<td align="center" valign="middle">0.144</td>
</tr>
<tr>
<td align="left" valign="middle">SBP</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">5 (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="center" valign="middle">201</td>
<td align="center" valign="middle">0.0%</td>
<td align="center" valign="middle">0.469</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">0.377</td>
<td align="center" valign="middle">&#x2212;3.570, 4.324</td>
<td align="center" valign="middle">0.851</td>
</tr>
<tr>
<td align="left" valign="middle">DBP</td>
<td align="left" valign="top">All</td>
<td align="center" valign="top">5 (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>)</td>
<td align="center" valign="middle">201</td>
<td align="center" valign="middle">36.3%</td>
<td align="center" valign="middle">0.179</td>
<td align="left" valign="top">Fixed</td>
<td align="center" valign="middle">0.531</td>
<td align="center" valign="middle">&#x2212;2.482, 3.543</td>
<td align="center" valign="middle">0.730</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A; indicates statistical significance at <italic>p</italic> &#x003C; 0.05. Weight, body weight; BMI, body mass index; FBG, fasting blood glucose; TG, triglycerides; FM, fat mass; FFM, fat-free mass; LM, lean mass; VFM, visceral fat mass; LDL, low-density lipoprotein cholesterol; HDL, high-density lipoprotein cholesterol; TC, total cholesterol; FPI, fasting plasma insulin; HOMA-IR, homeostatic model assessment of insulin resistance; SBP, systolic blood pressure; DBP, diastolic blood pressure.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec20">
<title>Effect of time-restricted eating on body mass index</title>
<p>The outcomes of 9 randomized controlled trials (<xref ref-type="bibr" rid="ref30 ref31 ref32">30&#x2013;32</xref>, <xref ref-type="bibr" rid="ref34 ref35 ref36">34&#x2013;36</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>) included BMI, with a total sample size of 362. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;12.9%, <italic>p</italic>&#x202F;=&#x202F;0.327, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on BMI reduction in overweight or obese participants (WMD&#x202F;=&#x202F;&#x2212;0.424, 95% CI&#x202F;=&#x202F;&#x2212;1.068 to 0.221, <italic>p</italic>&#x202F;=&#x202F;0.197), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.584).</p>
</sec>
<sec id="sec21">
<title>Effect of time-restricted eating on fat mass</title>
<p>The outcomes of 9 randomized controlled trials (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref36 ref37 ref38">36&#x2013;38</xref>) included fat mass, with a total sample size of 365. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.655, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on fat mass reduction in overweight or obese participants (WMD&#x202F;=&#x202F;&#x2212;1.196, 95% CI&#x202F;=&#x202F;&#x2212;2.799 to 0.407, <italic>p</italic>&#x202F;=&#x202F;0.144), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.150).</p>
</sec>
<sec id="sec22">
<title>Effect of time-restricted eating on fat-free mass</title>
<p>The outcomes of 4 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref34">34</xref>) included fat-free mass, with a total sample size of 158. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.881, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on fat-free mass in overweight or obese participants (WMD&#x202F;=&#x202F;0.417, 95% CI&#x202F;=&#x202F;&#x2212;1.210 to 2.044, <italic>p</italic>&#x202F;=&#x202F;0.615), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.092).</p>
</sec>
<sec id="sec23">
<title>Effect of time-restricted eating on lean body mass</title>
<p>The outcomes of 4 randomized controlled trials (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>) included lean body mass, with a total sample size of 164. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.662, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on lean body mass in overweight or obese participants (WMD&#x202F;=&#x202F;1.212, 95% CI&#x202F;=&#x202F;&#x2212;1.734 to 4.158, <italic>p</italic>&#x202F;=&#x202F;0.420), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.930).</p>
</sec>
<sec id="sec24">
<title>Effect of time-restricted eating on visceral fat mass</title>
<p>The outcomes of 4 randomized controlled trials (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>) included visceral fat mass, with a total sample size of 146. After heterogeneity testing, I<sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.635, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on visceral fat mass in overweight or obese participants (WMD&#x202F;=&#x202F;0.032, 95% CI&#x202F;=&#x202F;&#x2212;0.209 to 0.273, <italic>p</italic>&#x202F;=&#x202F;0.795), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.467).</p>
</sec>
</sec>
<sec id="sec25">
<title>Effect of time-restricted eating on lipid metabolism</title>
<sec id="sec26">
<title>Effect of time-restricted eating on triglycerides</title>
<p>The outcomes of 7 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>) included triglycerides, with a total sample size of 245. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.859, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on triglyceride levels in overweight or obese participants (WMD&#x202F;=&#x202F;2.760, 95% CI&#x202F;=&#x202F;&#x2212;8.117 to 13.637, <italic>p</italic>&#x202F;=&#x202F;0.619), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.860).</p>
</sec>
<sec id="sec27">
<title>Effect of time-restricted eating on low-density lipoprotein</title>
<p>The outcomes of 4 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>) included low-density lipoprotein levels, with a total sample size of 156. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.980, the fixed-effect model was selected for analysis. The results demonstrated that compared with the control group, TRE showed no significant effect on LDL cholesterol levels in overweight or obese participants (WMD&#x202F;=&#x202F;&#x2212;3.214, 95% CI&#x202F;=&#x202F;&#x2212;12.548 to 6.120, <italic>p</italic>&#x202F;=&#x202F;0.500), with no evidence of publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.124).</p>
</sec>
<sec id="sec28">
<title>Effect of time-restricted eating on high-density lipoprotein</title>
<p>The outcomes of 6 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>) included high-density lipoprotein, with a total sample size of 222. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;21.8%, <italic>p</italic>&#x202F;=&#x202F;0.270, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on high-density lipoprotein levels in overweight or obese participants (WMD&#x202F;=&#x202F;&#x2212;1.364, 95% CI&#x202F;=&#x202F;&#x2212;4.218 to 1.489, <italic>p</italic>&#x202F;=&#x202F;0.349), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.089).</p>
</sec>
<sec id="sec29">
<title>Effect of time-restricted eating on total cholesterol</title>
<p>The outcomes of 5 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref40">40</xref>) included total cholesterol, with a total sample size of 202. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.409, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on total cholesterol levels in overweight or obese participants (WMD&#x202F;=&#x202F;4.075, 95% CI&#x202F;=&#x202F;&#x2212;4.115 to 12.264, <italic>p</italic>&#x202F;=&#x202F;0.329), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.478).</p>
</sec>
</sec>
<sec id="sec30">
<title>Effect of time-restricted eating on glucose metabolism</title>
<sec id="sec31">
<title>Effect of time-restricted eating on fasting blood glucose</title>
<p>The outcomes of 7 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>) included fasting blood glucose, with a total sample size of 246. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.668, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on fasting blood glucose levels in overweight or obese participants (WMD&#x202F;=&#x202F;0.685, 95% CI&#x202F;=&#x202F;&#x2212;1.317 to 2.687, <italic>p</italic>&#x202F;=&#x202F;0.502), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.123).</p>
</sec>
<sec id="sec32">
<title>Effect of time-restricted eating on fasting plasma insulin</title>
<p>The outcomes of 5 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>) included fasting plasma insulin, with a total sample size of 181. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.504, the fixed-effect model was selected for analysis. The results demonstrated that compared with the control group, TRE significantly reduced fasting plasma insulin levels in overweight or obese participants (WMD&#x202F;=&#x202F;&#x2212;2.120, 95% CI&#x202F;=&#x202F;&#x2212;4.172 to &#x2212;0.069, <italic>p</italic>&#x202F;=&#x202F;0.043), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.485).</p>
</sec>
<sec id="sec33">
<title>Effect of time-restricted eating on homeostasis model assessment of insulin resistance</title>
<p>The outcomes of 5 randomized controlled trials (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>) included insulin resistance, with a total sample size of 174. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.868, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on HOMA-IR in overweight or obese participants (WMD&#x202F;=&#x202F;&#x2212;0.438, 95% CI&#x202F;=&#x202F;&#x2212;1.026 to 0.149, <italic>p</italic>&#x202F;=&#x202F;0.144), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.777).</p>
</sec>
</sec>
<sec id="sec34">
<title>Effect of TRE on blood pressure</title>
<sec id="sec35">
<title>Effect of time-restricted eating on systolic blood pressure</title>
<p>The outcomes of 5 randomized controlled trials (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>) included systolic blood pressure, with a total sample size of 201. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;0.0%, <italic>p</italic>&#x202F;=&#x202F;0.469, the fixed-effect model was selected for analysis. The results showed that compared with the control group, TRE had no significant effect on systolic blood pressure in overweight or obese participants (WMD&#x202F;=&#x202F;0.377, 95% CI&#x202F;=&#x202F;&#x2212;3.570 to 4.324, <italic>p</italic>&#x202F;=&#x202F;0.851), with no publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.389). Effect of time-restricted eating on diastolic blood pressure (DBP).</p>
<p>The outcomes of 5 randomized controlled trials (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>) included diastolic blood pressure, with a total sample size of 201. After heterogeneity testing, <italic>I</italic><sup>2</sup> =&#x202F;36.3%, <italic>p</italic>&#x202F;=&#x202F;0.179, the fixed-effect model was selected for analysis. The results demonstrated that compared with the control group, TRE had no significant effect on diastolic blood pressure levels in overweight or obese participants (WMD&#x202F;=&#x202F;0.531, 95% CI&#x202F;=&#x202F;&#x2212;2.482 to 3.543, <italic>p</italic>&#x202F;=&#x202F;0.730), with no evidence of publication bias (Egger&#x2019;s test: <italic>p</italic>&#x202F;=&#x202F;0.081).</p>
</sec>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec36">
<title>Discussion</title>
<sec id="sec37">
<title>TRE contributes to weight management in overweight and obese women</title>
<p>Obesity elevates mortality risks associated with various diseases and increases the likelihood of developing multiple comorbidities. Our findings demonstrate that TRE shows superior efficacy in weight regulation compared to a regular diet among overweight and obese women, the pooled effect aligns with recent meta-analyses showing modest losses, likely reflecting spontaneous reductions in energy intake rather than meal timing under isocaloric conditions (<xref ref-type="bibr" rid="ref42">42</xref>). Animal studies by Chaix et al. (<xref ref-type="bibr" rid="ref43">43</xref>, <xref ref-type="bibr" rid="ref44">44</xref>) have demonstrated that TRE prevents and reverses adverse metabolic outcomes induced by various nutritional challenges, including obesogenic diets high in fat and sucrose. Compared to high-fat diet-fed mice, TRE-treated mice demonstrated significant reductions in obesity indices and hepatic steatosis, along with improved glucose tolerance and lowered cholesterol levels. These metabolic alterations may indicate enhanced homeostatic regulation across multiple tissue systems. In the general population, daily eating patterns typically span 15&#x202F;h or longer. The desynchronization between circadian biology and behavioral patterns, particularly food consumption misaligned with endogenous circadian phases, has been identified as a key determinant of obesity and metabolic disorder risks (<xref ref-type="bibr" rid="ref45">45</xref>). TRE facilitates circadian rhythm realignment through regulated eating-fasting cycles and avoidance of nocturnal caloric intake (<xref ref-type="bibr" rid="ref46">46</xref>). Furthermore, human participants under TRE protocols have been observed to voluntarily reduce their caloric intake (<xref ref-type="bibr" rid="ref47">47</xref>).</p>
<p>A key aspect of this study is the subgroup analysis of TRE variants based on CR status. TRE protocols are generally classified as &#x201C;ad libitum&#x201D; or &#x201C;prescribed&#x201D; (<xref ref-type="bibr" rid="ref48">48</xref>). &#x201C;Ad libitum&#x201D; TRE allows unrestricted food consumption without caloric restriction (CR) during specified feeding windows. In contrast, prescribed TRE entails adherence to specific guidelines regarding food selection or caloric intake during feeding windows. Subgroup analysis demonstrated that TRE alone showed significant weight-loss effects compared to blank controls, whereas the combination of TRE with CR showed no statistically significant difference compared to CR alone. This suggests that TRE&#x2019;s metabolic effects may not surpass those of daily CR in obese individuals (<xref ref-type="bibr" rid="ref49">49</xref>), with CR accounting for the majority of benefits observed in time-restricted feeding protocols. This interpretation is supported by findings from isocaloric trials, which report no significant difference in weight loss between TRE and traditional calorie-restricted diets when total energy intake is matched (<xref ref-type="bibr" rid="ref50">50</xref>). These findings highlight the importance of considering distinct characteristics across TRE methodologies. Future research should prioritize standardization of controlled dietary interventions to enable direct comparisons and establish more conclusive findings (<xref ref-type="bibr" rid="ref48">48</xref>).</p>
</sec>
<sec id="sec38">
<title>Time-restricted eating can effectively lower insulin levels in overweight and obese women</title>
<p>TRE demonstrates efficacy in reducing insulin levels among women with overweight or obesity. As a primary metabolic hormone secreted by pancreatic <italic>&#x03B2;</italic>-cells, insulin primarily regulates glucose homeostasis by promoting cellular glucose uptake and glycogen synthesis. Insulin resistance, characterized by diminished sensitivity to insulin&#x2019;s metabolic actions, is mediated by genetic predisposition and environmental determinants. This metabolic dysfunction constitutes a principal risk factor for type 2 diabetes mellitus, hypertension, dyslipidemia, and atherosclerotic cardiovascular pathologies (<xref ref-type="bibr" rid="ref51">51</xref>). In our meta-analysis, TRE lowered fasting insulin and HOMA-IR, in line with prior reports (<xref ref-type="bibr" rid="ref52 ref53 ref54">52&#x2013;54</xref>). Mechanistically, constraining the eating window reduces the number and duration of insulinogenic exposures and limits late-evening intake, thereby avoiding the melatonin&#x2013;dinner mismatch and blunted <italic>&#x03B2;</italic>-cell responsiveness (<xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref56">56</xref>). Shorter eating hours also reduce snacking opportunities; in practice, ad libitum TRE often produces modest spontaneous energy-intake reductions, further decreasing insulin demand (<xref ref-type="bibr" rid="ref42">42</xref>). Over weeks, prolonged nightly fasting increases fatty-acid oxidation/ketogenesis and may enhance hepatic insulin signaling and insulin clearance, changes consistent with the observed reductions in fasting insulin (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). Previous investigations into prolonged fasting protocols have documented weight reduction, enhanced insulin sensitivity, improved sleep parameters, and attenuated inflammatory responses (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref59 ref60 ref61 ref62">59&#x2013;62</xref>). This interpretation is consistent with recent syntheses attributing early metabolic gains to longer fasting-induced energy deficits and circadian alignment rather than timing alone under isocaloric prescriptions (<xref ref-type="bibr" rid="ref42">42</xref>).</p>
</sec>
<sec id="sec39">
<title>Time-restricted eating demonstrates favorable safety and compliance profiles</title>
<p>While weight loss remains the primary intervention target for overweight and obese individuals, concomitant body composition changes merit equal attention. Existing evidence indicates that daily CR-induced weight loss comprises approximately 75&#x2013;80% fat mass reduction and 20&#x2013;25% FFM loss (<xref ref-type="bibr" rid="ref63">63</xref>). As a key determinant of basal metabolic rate, FFM plays crucial roles in metabolic regulation, skeletal integrity maintenance, and functional capacity preservation (<xref ref-type="bibr" rid="ref64">64</xref>). FFM reduction may accelerate age-related strength decline in older women. Moreover, CR-induced weight loss may reduce both resting metabolic rate (RMR) and sympathetic nervous system (SNS) activity, potentially predisposing women to weight regain (<xref ref-type="bibr" rid="ref65">65</xref>). Our findings reveal that weight loss observed during TRE interventions did not induce additional reductions in fat-free mass or lean body mass among female participants. This finding aligns with previous observations in healthy male cohorts. In this protocol, participants maintained daily 16-h fasting windows while continuing regular resistance training. The intervention resulted in preserved lean body mass and maximal strength alongside body fat reduction in male TRE participants (<xref ref-type="bibr" rid="ref66">66</xref>). Within the included studies, only one participant discontinued due to inability to adhere to the prescribed feeding window (<xref ref-type="bibr" rid="ref37">37</xref>). Four trials (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>) documented mild transient adverse events, including dizziness, headaches, nausea, and diarrhea. These symptoms typically occurred during the initial intervention phase and resolved spontaneously over time. Collectively, these findings suggest superior compliance and safety profiles of TRE compared to CR interventions.</p>
</sec>
<sec id="sec40">
<title>Metabolic effects of time-restricted eating in overweight and obese women</title>
<p>Our findings indicate that TRE significantly improves insulin levels in overweight and obese women, whereas no significant alterations were observed in blood pressure, glucose metabolism, or lipid profiles. Consistent with these observations, clinical evidence for lipid outcomes in women remains inconclusive, with contradictory findings across trials (<xref ref-type="bibr" rid="ref67">67</xref>). Notably, experimental evidence demonstrating metabolic benefits predominantly originates from male rodent models (<xref ref-type="bibr" rid="ref68">68</xref>, <xref ref-type="bibr" rid="ref69">69</xref>) or small-scale human clinical trials (<xref ref-type="bibr" rid="ref70">70</xref>). Taken together, these observations suggest that not all TRE schedules are physiologically equivalent (<xref ref-type="bibr" rid="ref71">71</xref>, <xref ref-type="bibr" rid="ref72">72</xref>). Population data also indicate a non-linear association between nocturnal fasting duration and cardiometabolic indicators: both shorter (&#x003C;10.0&#x202F;h) and longer (&#x003E;14.1&#x202F;h) fasting durations were independently associated with higher age-related markers in NHANES (<xref ref-type="bibr" rid="ref73">73</xref>). This schedule-dependence underscores the need to delineate the timing, duration, and stability of the eating window when evaluating metabolic endpoints (<xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref74">74</xref>).</p>
<p>These findings imply that the health impacts of TRE&#x2019;s fasting window may involve complex mechanisms requiring further investigation. Future research should prioritize large-scale clinical studies with rigorous designs to objectively determine TRE&#x2019;s effects on glucose metabolism, lipid profiles, and blood pressure regulation.</p>
</sec>
<sec id="sec41">
<title>Strengths and limitations</title>
<p>This systematic review specifically focused on TRE as a distinct dietary intervention and restricted inclusion to overweight and obese female populations, thereby enhancing the clinical relevance and sex-specific interpretability of the findings. By separately analyzing anthropometric and metabolic parameters, and employing standardized tools for quality assessment and evidence grading, the study provides a methodologically robust synthesis of TRE&#x2019;s effects in this demographic. Nonetheless, several limitations should be acknowledged that may influence the generalizability and interpretation of the findings. First, the relatively small number of eligible trials&#x2014;together with our eligibility criterion restricting inclusion to women-only cohorts or mixed-sex cohorts with &#x2265;85% female participants to preserve analytic focus&#x2014;resulted in a limited total sample size; accordingly, the findings are primarily applicable to women. Second, the inherent design characteristics of the included studies precluded implementation of blinding procedures. Third, substantial heterogeneity in outcome measurements across primary studies and the limited number of randomized controlled trials reporting secondary outcomes precluded quantitative assessment of publication bias through funnel plot analyses for most endpoints. Collectively, these limitations underscore the necessity for methodologically robust studies with larger sample sizes and extended follow-up periods to comprehensively evaluate TRE interventions in female populations. We also acknowledge that heterogeneity in TRE protocols, such as differences in feeding window duration, timing, and caloric restriction, limited our ability to perform subgroup analyses. We emphasize the need for future trials to directly compare different TRE regimens in women.</p>
<p>Most outcomes had low heterogeneity (I<sup>2</sup>&#x202F;&#x003C;&#x202F;25%). Where &#x2265;10 trials were available, funnel plots were roughly symmetric and Egger&#x2019;s tests were non-significant (<xref ref-type="sec" rid="sec49">Supplementary Figure S1</xref>), though limited study numbers mean small-study/publication bias cannot be excluded. We encourage precise TRE reporting&#x2014;clock-defined daily window (start/end, length), caloric strategy, adherence with monitoring, co-interventions/comparators, and standardized outcomes&#x2014;to improve inclusion and comparability across trials.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec42">
<title>Conclusion</title>
<p>The principal findings are as follows: (1) Time-restricted eating may serve as an effective intervention for overweight and obese women, demonstrating weight reduction and lower fasting insulin while preserving both fat-free mass and lean body mass. (2) When compared to traditional calorie-restricted diets, time-restricted eating shows no statistically significant differences in weight loss outcomes. (3) Compared to conventional low-calorie diets, time-restricted eating exhibits a more favorable safety profile and higher adherence rates. (4) The long-term metabolic impacts of time-restricted eating in overweight and obese female populations warrant further investigation.</p>
<p>Clinically, in overweight and obese women, time-restricted eating can be offered as an adherence-friendly alternative that achieves modest weight loss without compromising lean mass; however, definitive guidance will require isocaloric, protocol-standardized trials with long-term follow-up.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec43">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="sec49">Supplementary material</xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec sec-type="author-contributions" id="sec44">
<title>Author contributions</title>
<p>SC: Conceptualization, Writing &#x2013; original draft, Formal analysis, Methodology. XZ: Investigation, Methodology, Software, Data curation, Formal analysis, Writing &#x2013; review &#x0026; editing. JK: Project administration, Conceptualization, Supervision, Writing &#x2013; review &#x0026; editing. HL: Supervision, Validation, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec45">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by Postgraduate Education Reform and Quality Improvement Project of Henan Province (YJS2025ZX32), Education and Teaching Reform Project in Higher Education of Henan Province (2024SJGLX0265), Undergraduate Research Course Project - Sports Injury and Rehabilitation - of Henan University (2025YXKC20), Postgraduate Education Reform and Quality Improvement Project of Henan Province (YJS2025JC28), and Postgraduate Education Reform and Quality Improvement Project of Henan University (SYL2025YJSAL06).</p>
</sec>
<sec sec-type="COI-statement" id="sec46">
<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="ai-statement" id="sec47">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec48">
<title>Publisher&#x2019;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>
<sec sec-type="supplementary-material" id="sec49">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fnut.2025.1664412/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1664412/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>BMI, Body Mass index; CI, Confidence interval; DBP, Diastolic blood pressure; FBG, Fasting blood glucose; FFM, Fat-free mass; FM, Fat mass; FPI, Fasting plasma insulin; HDL, High-density lipoprotein; HOMA-IR, Homeostatic Model Assessment for Insulin Resistance; LDL, Low-density lipoprotein; LM, Lean mass; RCT, randomized controlled trial; RoB2, Risk of Bias 2 tool; SBP, Systolic blood pressure; TC, Total cholesterol; TG, Triglycerides; VFM, Visceral fat mass.</p>
</fn>
</fn-group>
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