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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.2025.1598141</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nutrition</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Relationship between breastfeeding duration, lifestyle and obesity in children aged 3&#x2013;16&#x202F;years: a cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Liu</surname> <given-names>Yu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Gu</surname> <given-names>Yiyao</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0001"><sup>&#x2020;</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Mu</surname> <given-names>Jie</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Duan</surname> <given-names>Zhi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name><surname>Wang</surname> <given-names>Xixiang</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ren</surname> <given-names>Xiuwen</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Lu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Xu</surname> <given-names>Jingjing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhang</surname> <given-names>Chi</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Zhou</surname> <given-names>Shaobo</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ma</surname> <given-names>Ning</given-names></name>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Yuan</surname> <given-names>Linhong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Ying</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>School of Public Health, Capital Medical University, Beijing Key Laboratory of Environment and Aging, China-British Joint Laboratory of Nutrition Prevention and Control of Chronic Diseases</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Suzhou Research Center of Medical School, Suzhou Hospital, Affiliated Hospital of Medical School, Nanjing University</institution>, <addr-line>Suzhou</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Biological Sciences, University of Nebraska-Lincoln</institution>, <addr-line>Lincoln, NE</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>School of Science, Faculty of Engineering and Science, University of Greenwich</institution>, <addr-line>Chatham</addr-line>, <country>United Kingdom</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Francisco Jos&#x00E9; P&#x00E9;rez-Cano, University of Barcelona, Spain</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Yuan-Yuan Li, Biotage, Sweden</p>
<p>Mira Dewi, IPB University, Indonesia</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Ying Wang, <email>qqhewangying@163.com</email></corresp>
<corresp id="c002">Linhong Yuan, <email>ylhmedu@126.com</email></corresp>
<fn fn-type="equal" id="fn0001"><p><sup>&#x2020;</sup>These authors have contributed equally to this work and share first authorship</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1598141</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>03</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>23</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Liu, Gu, Mu, Duan, Wang, Ren, Liu, Xu, Zhang, Zhou, Ma, Yuan and Wang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Liu, Gu, Mu, Duan, Wang, Ren, Liu, Xu, Zhang, Zhou, Ma, Yuan and Wang</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>Childhood obesity is emerging as an increasingly severe public health problem. Effective lifestyle and dietary interventions are urgently needed to prevent childhood obesity. The study explored the association of breastfeeding duration in early life and lifestyle habits with childhood obesity.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A total of 541 children aged 3&#x2013;16 at Suzhou Science and Technology City Hospital were included in this analysis. The participants were categorized into obesity group and non-obesity group. Assigned and calculated the score of lifestyle habits and the total score of lifestyle habits and breastfeeding. Logistic regression was used to analyze the risk of obesity with breastfeeding and/or lifestyle habits scores, and ROC curves were applied to evaluate the accuracy of the models. SHapley Additive exPlanation (SHAP) was used to explore the specified impact of variables.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>(1) The dietary habits of children with obesity were marked by consuming more meat-based foods, preferring heavier flavors food items, and having a habit of snacking before meals. (2) It is recommended that newborn be breastfed for 4&#x2013;12&#x202F;months. (3) Healthy lifestyle habits and prolonged breastfeeding duration are both protective factors for childhood obesity respectively, and the synergistic impact is much more significant.</p>
</sec>
<sec id="sec4">
<title>Discussion</title>
<p>Prolonging breastfeeding duration appropriately and cultivating healthy dietary habits might contribute to prevention of childhood obesity.</p>
</sec>
</abstract>
<kwd-group>
<kwd>children</kwd>
<kwd>obesity</kwd>
<kwd>lifestyle</kwd>
<kwd>breastfeeding</kwd>
<kwd>dietary</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="49"/>
<page-count count="9"/>
<word-count count="6224"/>
</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">
<label>1</label>
<title>Introduction</title>
<p>Obesity is a major health concern in children and adolescents. The prevalence of obesity among children and adolescents remains high level and an upward trend (<xref ref-type="bibr" rid="ref1">1</xref>). From 1975 to 2016, the global prevalence of obesity and overweight increased around eight-fold (from 0.7 to 5.6% in girls and from 0.9 to 7.8% in boys) in children aged 5&#x2013;19&#x202F;years (<xref ref-type="bibr" rid="ref2">2</xref>). The estimated global prevalence of overweight and obesity increase from 10 to 20% in boys and from 14 and 24% in girls, hinting that around 400 million children and adolescents may be suffered by 2035 (<xref ref-type="bibr" rid="ref3">3</xref>). According to the survey, the obesity prevalence rate among preschool children in Jiangsu is 14.0% (<xref ref-type="bibr" rid="ref4">4</xref>). Alarmingly, the overall prevalence of overweight and obesity among children aged 6&#x2013;17&#x202F;years old has soared to 38.60% (<xref ref-type="bibr" rid="ref5">5</xref>), highlighting a concerning trend in childhood weight management in the region.</p>
<p>The first 1,000&#x202F;days of life is essential to individual&#x2019;s development, and would influence the health of adults and aging duration (<xref ref-type="bibr" rid="ref6">6</xref>). Early life factors contributing to obesity in children include adverse health conditions during pregnancy, unhealthy feeding methods, and environmental risk factor exposures (<xref ref-type="bibr" rid="ref7">7</xref>). Breastfeeding was considered an effective feeding pattern to prevent obesity and a significant protective factor of obesity (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref9">9</xref>). Compared with formula-fed children, breastfed children commonly accompanied by a lower incidence of obesity (<xref ref-type="bibr" rid="ref9">9</xref>). Some studies have found a dose&#x2013;response protective relationship between the duration of breastfeeding and the risk of overweight/obesity (<xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). Compared with child accepted breastfeeding for 2&#x202F;months, those undergone breastfeeding for 5&#x202F;months showed higher lean mass, skeletal muscle mass and lower total body fat mass. Besides, for the girls, a positive linear relation between breastfeeding duration and trunk lean mass was demonstrated (<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Sourced from various databases, 28 guidelines, either globally recognized or developed globally by governments, professional organizations, or expert groups, focused on obesity management for children and adolescents with obesity-related comorbidities or severe obesity. They recommended weight loss as the primary treatment method, with only 10 guidelines specifically emphasizing dietary management (<xref ref-type="bibr" rid="ref13">13</xref>). Childhood is a critical period for the formation of dietary patterns and habits; reasonable guidelines of dietary management are needed for the children with overweight or obesity. Moreover, given the discrepant metabolism status between children and adults, the recommended dietary intervention protocols for adults&#x2019; body weight management are not usually suitable for children (<xref ref-type="bibr" rid="ref14">14</xref>), thus evidence-based specific and efficient clinical body weight management protocol is expected for controlling children obesity. Data from some clinical interventions have demonstrated the impact of change in lifestyle on children obesity or overweight (<xref ref-type="bibr" rid="ref15">15</xref>). Compared with the control group, 16-week lifestyle intervention (include nutritional counseling and physical exercise) could significantly reduce the BMI <italic>z</italic> score and percentage body fat in obesity child (<xref ref-type="bibr" rid="ref16">16</xref>).</p>
<p>To date, few studies have explored the linkage of early life diet (represented by breastfeeding duration and dietary habits after weaning) and lifestyle with body weight and obesity, as well as their combined effect on the risk of obesity in child. Therefore, a cross-sectional study was designed to explore the relation between breastfeeding duration and lifestyle with childhood obesity. The data from our study will provide reference for formulating early life feeding method and lifestyle-based preventive and interventional strategy of obesity in children and adolescents.</p>
</sec>
<sec sec-type="methods" id="sec6">
<label>2</label>
<title>Methods</title>
<sec id="sec7">
<label>2.1</label>
<title>Survey design and study population</title>
<p>From August 26, 2021 to April 30, 2023, children were enrolled at Suzhou Science and Technology City Hospital and Dong Zhu Health Service Center. Inclusion criteria were (i) children aged 3&#x2013;16&#x202F;years old enrolled at Suzhou Science and Technology City Hospital and Dong Zhu Health Service Center; (ii) participated in the study after their parents or guardians signed informed consent forms, and the study procedures adhered to the ethical standards and were approved by the relevant ethics committee. Exclusion criteria used in final data analysis were (i) data of breastfeeding time missing; (ii) data of body composition missing; (iii) lack of baseline information for other reasons. A total of 541 subjects, including 320 boys and 221 girls, aged 3&#x2013;16&#x202F;years old, were participated in the study. The study protocol was approved by the Committee on Medical Ethics of Suzhou Science and Technology City Hospital (No. IRB202410003RI), and the study procedures followed the ethical standards of the Helsinki Declaration of 1975. Informed consent was signed by all participants or their parents before the investigation.</p>
</sec>
<sec id="sec8">
<label>2.2</label>
<title>Anthropometric, hemogram and biochemical measurements</title>
<p>According to the guideline of the World Health Organization (<xref ref-type="bibr" rid="ref17">17</xref>), the height was measured by a standard height gauge (Seca). Weight-machine was required to calibrated the scale daily (Seca). Body mass index (BMI) was calculated according the formula: BMI (kg/m<sup>2</sup>)&#x202F;=&#x202F;weight (kg)/height (m)/height (m). Children were categorized as obesity and non-obesity according to weight (3&#x2013;6y) or body mass index (6&#x2013;16y) [BMI (kg/m<sup>2</sup>)] (details in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref>). Body composition was measured by the Body Composition Analyzer (INBODY S10) (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>).</p>
<p>Fasting venous blood (3&#x202F;mL) was collected by EDTA tubes, and after separating plasma, the samples were stored at &#x2212;80&#x00B0;C for clinical parameter measurement. Plasma triglyceride (TG) was measured by ILAB600 clinical chemistry analyzer (Instrumentation Laboratory, Lexington, WI, United States). Serum proteins measurement including erythrocyte (10^<sup>12/L</sup>), hemoglobin (g/L), total protein (g/L), albumin (g/L), globulin (g/L) and prealbumin (g/L) were conducted by the clinical laboratory technician. Hemoglobin concentration and blood cell counts in blood samples are measured using the Sysmex XN-1000 (<xref ref-type="bibr" rid="ref20">20</xref>). Various proteins in the blood are detected by an automatic biochemical analyzer (<xref ref-type="bibr" rid="ref21">21</xref>).</p>
</sec>
<sec id="sec9">
<label>2.3</label>
<title>Lifestyle investigation and score grading</title>
<p>Lifestyle information of the participants was collected according to the questionnaires. Daily dietary habits include exclusive breastfeeding duration (months), energy intake (kcal/d), water intake (ml/d), dietary taste, dietary conditions, food types (per week), and snacks habit. Physical activity level includes weekly frequency and duration.</p>
<p>Lifestyle score (<xref ref-type="bibr" rid="ref22">22</xref>) was calculated by indexes includes dietary habits (balance dietary habits; imbalance dietary habits including prefer vegetarianism, prefer meat, no staple foods, boredom eating), dietary taste (light flavor, popular flavor, strong flavor), dietary conditions (regular, timed, and quantified meals; irregular conditions including: eat all three meals, but not regularly enough; only eat two meals a day; have supper frequently), water intake (&#x003C;600&#x202F;mL/day, &#x2265;600&#x202F;mL/day), daily food types (&#x003C;5, 5&#x2013;12, &#x2265;12), snacks before meals (frequently, occasionally, never), weekly physical activity frequency (never, 1, 2, 3, 4, 5, 6, or 7 times per week) and physical activity duration per time (0, &#x003C;0.5&#x202F;h, 0.5&#x2013;1&#x202F;h, 1&#x2013;2&#x202F;h, 2&#x2013;3&#x202F;h, &#x003E;3&#x202F;h). Total score including lifestyle score and exclusive breastfeeding duration score (&#x003C;6&#x202F;months, 6&#x2013;24&#x202F;months, &#x2265;24&#x202F;months) (<xref ref-type="bibr" rid="ref23">23</xref>). The scoring grading rule is in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S2</xref>.</p>
</sec>
<sec id="sec10">
<label>2.4</label>
<title>Statistical analysis</title>
<p>SPSS 26.0 and R 4.2.2 were used for statistical analysis. Measurement data was expressed as mean &#x00B1; SD or <italic>n</italic> (%). If the data conform to the normal distribution, the t-test was used to compare the differences between groups; otherwise, the rank sum test was applied to compare the difference between groups. The categorical data were expressed as numbers and proportions, and <italic>&#x03C7;</italic><sup>2</sup> test was applied to compare the difference between groups. Pearson or Spearman analysis used for correlation analysis. Logistic regression was run to test the association between the breastfeeding duration, lifestyle and the risk of childhood obesity.</p>
</sec>
</sec>
<sec sec-type="results" id="sec11">
<label>3</label>
<title>Results</title>
<sec id="sec12">
<label>3.1</label>
<title>Demographic characteristics of the participants</title>
<p>As shown in <xref ref-type="table" rid="tab1">Table 1</xref>, the average age of the obesity children group was lower than the non-obesity group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The proportion of boys with obesity was higher than girls (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). The obesity group children showed higher bodyweight, waist circumference (WC) and BMI than the normal-weight children (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Children with obesity showed increased blood erythrocyte, hemoglobin, total protein, albumin, globulin, prealbumin and triglyceride levels as comparing with normal children (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Demographic characteristics and clinical biochemical indicators of the participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Indexes</th>
<th align="center" valign="top">Obesity (<italic>n&#x202F;=</italic>&#x202F;233)</th>
<th align="center" valign="top">Non-obesity (<italic>n&#x202F;=</italic>&#x202F;308)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Age (years)</td>
<td align="center" valign="top">8.06&#x202F;&#x00B1;&#x202F;2.76</td>
<td align="center" valign="top">8.76&#x202F;&#x00B1;&#x202F;2.58</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Gender, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">0.020</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">82 (35.2)</td>
<td align="center" valign="top">139 (45.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">151 (64.8)</td>
<td align="center" valign="top">169 (54.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Weight (kg)</td>
<td align="center" valign="top">40.45&#x202F;&#x00B1;&#x202F;14.93</td>
<td align="center" valign="top">35.9&#x202F;&#x00B1;&#x202F;14.45</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">WC (cm)</td>
<td align="center" valign="top">68.01&#x202F;&#x00B1;&#x202F;12.60</td>
<td align="center" valign="top">58.79&#x202F;&#x00B1;&#x202F;6.48</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">BMI (kg/m<sup>2</sup>)</td>
<td align="center" valign="top">23.39&#x202F;&#x00B1;&#x202F;3.18</td>
<td align="center" valign="top">15.83&#x202F;&#x00B1;&#x202F;3.18</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Erythrocyte (10^<sup>12</sup>/L)</td>
<td align="center" valign="top">4.89&#x202F;&#x00B1;&#x202F;0.31</td>
<td align="center" valign="top">4.66&#x202F;&#x00B1;&#x202F;0.44</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Hemoglobin (g/L)</td>
<td align="center" valign="top">134.23&#x202F;&#x00B1;&#x202F;8.67</td>
<td align="center" valign="top">131.03&#x202F;&#x00B1;&#x202F;9.56</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Total protein (g/L)</td>
<td align="center" valign="top">72.02&#x202F;&#x00B1;&#x202F;5.19</td>
<td align="center" valign="top">69.87&#x202F;&#x00B1;&#x202F;3.60</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Albumin (g/L)</td>
<td align="center" valign="top">46.28&#x202F;&#x00B1;&#x202F;2.45</td>
<td align="center" valign="top">44.63&#x202F;&#x00B1;&#x202F;2.40</td>
<td align="center" valign="top">0.020</td>
</tr>
<tr>
<td align="left" valign="top">Globulin (g/L)</td>
<td align="center" valign="top">26.35&#x202F;&#x00B1;&#x202F;3.24</td>
<td align="center" valign="top">25.24&#x202F;&#x00B1;&#x202F;2.50</td>
<td align="center" valign="top">0.003</td>
</tr>
<tr>
<td align="left" valign="top">Prealbumin (g/L)</td>
<td align="center" valign="top">224.23&#x202F;&#x00B1;&#x202F;36.11</td>
<td align="center" valign="top">215.26&#x202F;&#x00B1;&#x202F;34.54</td>
<td align="center" valign="top">0.015</td>
</tr>
<tr>
<td align="left" valign="top">Triglyceride (mmol/L)</td>
<td align="center" valign="top">1.14&#x202F;&#x00B1;&#x202F;0.68</td>
<td align="center" valign="top">0.94&#x202F;&#x00B1;&#x202F;0.34</td>
<td align="center" valign="top">0.019</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The data was represented as mean &#x00B1; SD or <italic>n</italic> (%). Quantitative data were analyzed by <italic>t</italic>-test; qualitative data were analyzed using <italic>&#x03C7;</italic><sup>2</sup> test. <italic>P</italic>&#x202F;&#x003C;&#x202F;0.05 indicates a statistically significant difference. WC, waist circumference; BMI, body mass index.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec13">
<label>3.2</label>
<title>Difference in breastfeeding duration and lifestyle</title>
<p>As shown in <xref ref-type="table" rid="tab2">Table 2</xref>, the non-obesity group children showed the much longer breastfeeding duration than the obesity group children, although the difference was not significantly significant (<italic>p</italic>&#x202F;&#x003E;&#x202F;0.05). The obesity children showed higher daily energy intake than the non-obesity ones. Difference in dietary habit was observed between groups. The percentage of children preferring meat intake in obesity group was higher than that in the non-obesity group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05); and the percentage of subjects preferring vegetarianism in obesity group as lower than that in the non-obesity group (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). More children with obesity prefer popular flavor, while non-obesity children choose lighter flavor (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Most children consumed more than 5 types of food items per day, and compared with non-obesity children, the percentage of children consumed 5&#x2013;12 kinds of food items in obesity group was lower, but the percentage of children consumed &#x003E; 12 kinds of food items was higher (<italic>p</italic>&#x202F;=&#x202F;0.013). Obesity children intake snacks before meals more frequently than non-obesity group (<italic>p</italic>&#x202F;=&#x202F;0.030). The frequency of weekly physical activities of obese children were lower than that among non-obese children (<italic>p</italic> &#x003C;&#x202F;0.05), but no difference in the duration of each physical activity between groups. Lifestyle score and combine score of lifestyle and breastfeeding duration were lower in the obesity subjects as comparing with the non-obesity subjects (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Differences in breastfeeding duration and lifestyle in the participants.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Indexes</th>
<th align="center" valign="top">Obesity (<italic>N&#x202F;=</italic>&#x202F;233)</th>
<th align="center" valign="top">Non-obesity (<italic>N&#x202F;=</italic>&#x202F;308)</th>
<th align="center" valign="top"><italic>p</italic>-value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Exclusive breastfeeding duration (month)</td>
<td align="center" valign="top">7.16&#x202F;&#x00B1;&#x202F;4.80</td>
<td align="center" valign="top">7.63&#x202F;&#x00B1;&#x202F;4.79</td>
<td align="center" valign="top">0.134</td>
</tr>
<tr>
<td align="left" valign="top">Energy intake (kcal/d)</td>
<td align="center" valign="top">1638.91&#x202F;&#x00B1;&#x202F;490.19</td>
<td align="center" valign="top">1407.32&#x202F;&#x00B1;&#x202F;517.40</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Dietary habits, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Dietary balance</td>
<td align="center" valign="top">95 (40.8)</td>
<td align="center" valign="top">104 (33.8)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Prefer vegetarianism</td>
<td align="center" valign="top">11 (4.7)</td>
<td align="center" valign="top">39 (12.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Prefer meat</td>
<td align="center" valign="top">124 (53.2)</td>
<td align="center" valign="top">86 (27.9)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">No staple foods</td>
<td align="center" valign="top">1 (0.4)</td>
<td align="center" valign="top">4 (1.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Boredom eating</td>
<td align="center" valign="top">2 (0.9)</td>
<td align="center" valign="top">75 (24.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Dietary taste, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Light flavor</td>
<td align="center" valign="top">16 (6.9)</td>
<td align="center" valign="top">53 (17.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Popular flavor</td>
<td align="center" valign="top">160 (68.7)</td>
<td align="center" valign="top">165 (53.6)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Strong flavor</td>
<td align="center" valign="top">57 (24.5)</td>
<td align="center" valign="top">90 (29.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Food types (types/d), <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">&#x003C;5</td>
<td align="center" valign="top">18 (7.7)</td>
<td align="center" valign="top">28 (9.1)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">5&#x2013;12</td>
<td align="center" valign="top">172 (73.8)</td>
<td align="center" valign="top">250 (81.2)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x003E;12</td>
<td align="center" valign="top">43 (18.5)</td>
<td align="center" valign="top">30 (9.7)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Snacks before meals, <italic>n</italic> (%)</td>
<td/>
<td/>
<td align="center" valign="top">0.030</td>
</tr>
<tr>
<td align="left" valign="top">Frequently</td>
<td align="center" valign="top">83 (35.6)</td>
<td align="center" valign="top">78 (25.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Occasionally</td>
<td align="center" valign="top">120 (51.5)</td>
<td align="center" valign="top">189 (61.4)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="center" valign="top">30 (12.9)</td>
<td align="center" valign="top">41 (13.3)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Physical activity duration (h)</td>
<td align="center" valign="top">0.94&#x202F;&#x00B1;&#x202F;0.22</td>
<td align="center" valign="top">0.92&#x202F;&#x00B1;&#x202F;0.50</td>
<td align="center" valign="top">0.338</td>
</tr>
<tr>
<td align="left" valign="top">Physical activity frequency (weekly)</td>
<td align="center" valign="top">4.56&#x202F;&#x00B1;&#x202F;1.58</td>
<td align="center" valign="top">5.07&#x202F;&#x00B1;&#x202F;1.51</td>
<td align="center" valign="top">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Lifestyle score</td>
<td align="center" valign="top">9.60&#x202F;&#x00B1;&#x202F;2.55</td>
<td align="center" valign="top">10.18&#x202F;&#x00B1;&#x202F;2.37</td>
<td align="center" valign="top">0.013</td>
</tr>
<tr>
<td align="left" valign="top">Lifestyle and exclusive breastfeeding duration score</td>
<td align="center" valign="top">10.28&#x202F;&#x00B1;&#x202F;2.55</td>
<td align="center" valign="top">10.95&#x202F;&#x00B1;&#x202F;2.38</td>
<td align="center" valign="top">0.005</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>The data was represented as mean &#x00B1; SD or <italic>n</italic> (%). Quantitative data were analyzed by <italic>t</italic>-test; qualitative data were analyzed using <italic>&#x03C7;</italic><sup>2</sup> test. <italic>P</italic>&#x202F;&#x003C;&#x202F;0.05 indicates a statistically significant difference.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec14">
<label>3.3</label>
<title>Relationship between breastfeeding duration, lifestyle and obesity</title>
<p>As shown in <xref ref-type="fig" rid="fig1">Figure 1</xref>, lifestyle score and combine score with breastfeeding duration were negatively correlated with BMI (<italic>r<sub>lifestyle</sub></italic>&#x202F;=&#x202F;&#x2212;0.091, <italic>r<sub>combine score</sub></italic>&#x202F;=&#x202F;&#x2212;0.103, <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). After dividing the subjects according to quartiles of breastfeeding duration into Q1 (&#x2264;4), Q2 (4&#x2013;8), Q3 (8&#x2013;12) and Q4 (&#x2265;12) groups, we found that the risk of obesity in Q2 group was 0.297 times of that in Q1 group in logistic regression model 3 (<xref ref-type="fig" rid="fig2">Figure 2</xref>). We further categorized the subjects according to the quartiles of lifestyle score into Q1 (&#x2264;8), Q2 (8&#x2013;10), Q3 (10&#x2013;12) and Q4 (&#x2265;12) groups, we observed that the risk of obesity in Q3 group was 0.536 times of that in Q1 group in model 1. In model 2, after adjusting the confounder including age and gender, subjects with Q3 and Q4 level of score displayed decreased risk of obesity as comparing with subjects with Q1 level of score. In model 3, we further adjusted bodyweight and WC, subjects in Q4 group consistently showed a decreased risk of obesity as comparing with other groups (<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05) (<xref ref-type="fig" rid="fig2">Figure 2</xref>). After dividing the subjects according to the quartiles of combine score of lifestyle and breastfeeding duration into Q1 (&#x2264;9), Q2 (9&#x2013;11), Q3 (11&#x2013;12) and Q4 (&#x2265;12) groups, the risk of obesity in Q1, Q2 and Q3 groups decreased significantly in comparison with Q1 group in model 1. In model 2, the association consistently existed after adjusting the confounder including age and gender. We further adjusted the bodyweight and WC in model 3, subjects in Q2 and Q4 group constantly showed a decreased risk of obesity as comparing with Q1 group (<xref ref-type="fig" rid="fig2">Figure 2</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Correlation between breastfeeding duration, BMI, lifestyle score, total score of lifestyle and breastfeeding duration in obesity and non-obesity groups. BMI, body mass index. Blue: non-obesity group, green: obesity group, numbers: correlation coefficients. &#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05, &#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.005.</p>
</caption>
<graphic xlink:href="fnut-12-1598141-g001.tif"/>
</fig>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Association of the breastfeeding duration, lifestyle and the risk of childhood obesity. The subjects were divided into Q1 (&#x2264;4), Q2 (4&#x2013;8), Q3 (8&#x2013;12) and Q4 (&#x2265;12) groups according to the breastfeeding duration. Lifestyle score was divided into Q1 (&#x2264;8), Q2 (8&#x2013;10), Q3 (10&#x2013;12) and Q4 (&#x2265;12). Combine score of lifestyle and breastfeeding was divided into Q1 (&#x2264;9), Q2 (9&#x2013;11), Q3 (11&#x2013;12) and Q4 (&#x2265;12). In Model 1, no confounding factors were adjusted; In Model 2, confounding factors including age and gender were adjusted; In Model 3, based on model 2, confounding factors including weight and waist circumference were adjusted. <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05 indicates a statistically significant difference. Q, quartile.</p>
</caption>
<graphic xlink:href="fnut-12-1598141-g002.tif"/>
</fig>
<p>As shown in <xref ref-type="fig" rid="fig3">Figure 3A</xref> and <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S3</xref>, the results of ROC curves showed that the combine score of lifestyle and breastfeeding duration in model 3 was the best indicator to predict obesity (AUC&#x202F;=&#x202F;0.978, 95%CI: 0.960&#x2013;0.982). We further applied the SHapley Additive exPlanation (SHAP) to explore the specified impact of variables on obesity in the compounds of lifestyle and breastfeeding duration score. The SHAP plot showed that age, physical activity frequency, dietary taste and breastfeeding duration were the most important compounds of the model, which negatively contributed to the model (<xref ref-type="fig" rid="fig3">Figures 3B</xref>,<xref ref-type="fig" rid="fig3">C</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p><bold>(A)</bold> ROC curves of the models. In Model 1, no confounding factors were adjusted; In Model 2, confounding factors, including age and gender, were adjusted; In Model 3, based on model 2, confounding factors, including bodyweight and waist circumference, were adjusted. <bold>(B)</bold> The SHapley Additive exPlanation (SHAP) summary plot. <bold>(C)</bold> Influencing factors contribution ranking. The horizontal location means the effect of value on the prediction and the color means the effect of variable on observation.</p>
</caption>
<graphic xlink:href="fnut-12-1598141-g003.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec15">
<label>4</label>
<title>Discussion</title>
<p>In this cross-sectional study, we found that early breastfeeding and health dietary habits during childhood are protective factors for childhood obesity.</p>
<p>Multiple studies have shown that, in comparison with artificial feeding, breastfeeding is an efficient feeding method for preventing childhood obesity (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). However, some researchers reported that there was no significant correlation between breastfeeding and obesity (<xref ref-type="bibr" rid="ref26">26</xref>). In our study, we observed that children who received 4&#x2013;12&#x202F;months breastfeeding displayed a significantly lower risk of obesity comparing with those who accepted breastfeeding for less than 4&#x202F;months, although there was no significant difference in the duration of breastfeeding between children with and without obesity. The conclusions regarding the impact of prolonged breastfeeding duration on childhood obesity or overweight were controversial. Data from Liese&#x2019;s study found that breastfeeding for more than 1&#x202F;year significantly reduced the risk of childhood obesity in a dose&#x2013;response relationship (<xref ref-type="bibr" rid="ref12">12</xref>). In contrast, others&#x2019; results demonstrated that, comparing with the children underwent breastfeeding for 6&#x2013;9&#x202F;months, the children accept breastfeeding more than 2&#x202F;years have decreased risk of obesity and overweight by about 45% (<xref ref-type="bibr" rid="ref49">49</xref>), but not difference on the risk of obesity as comparing with the child received 1&#x2013;2&#x202F;years breastfeeding (<xref ref-type="bibr" rid="ref11">11</xref>). The World Health Organization recommended the gradual addition of complementary foods to 6-month-old children (<xref ref-type="bibr" rid="ref27">27</xref>), which could be a potential modifier on the relation between breastfeeding and obesity in children. Therefore, it is necessary to take the addition of complementary foods into the consideration when analyzing the impact of breastfeeding duration on chronic diseases in child.</p>
<p>With the rapid economic development and urbanization progress in China, the incidence of stunted growth and thinness among Chinese children has decreased dramatically (<xref ref-type="bibr" rid="ref28">28</xref>). Meanwhile, childhood obesity has become a priority public health concern in China. Study has indicated that westernized diet and the change of dietary pattern were major reasons for increased childhood obesity prevalence (<xref ref-type="bibr" rid="ref29">29</xref>). The living environment of children, such as family and school, is another environmental risk factor that affects childhood obesity (<xref ref-type="bibr" rid="ref30">30</xref>, <xref ref-type="bibr" rid="ref31">31</xref>). For individuals, excessive nutrient intake or unhealthy lifestyle and dietary habits are the most direct risk factors for childhood obesity (<xref ref-type="bibr" rid="ref32">32</xref>). In this study, we found differences in dietary habits between children with and without obesity, such as preference for meat-based foods, heavy or popular flavor, and habit of snacking before meals.</p>
<p>The relationship between meat intake and obesity is controversial. In a study of Iranian children, the intakes of white meat and poultry were associated with increased risk of general obesity, while the consumption of processed meat was associated with central obesity (<xref ref-type="bibr" rid="ref33">33</xref>). In a study conducted in China, researchers found a positive association between red meat consumption and overweight and obesity in girls (<xref ref-type="bibr" rid="ref34">34</xref>). For children and adolescents, the proportion of overweight and obese without weekly meat intake was higher than the proportion of children with daily meat intake (12.3% vs. 11.1%) (<xref ref-type="bibr" rid="ref35">35</xref>). Data from prospective research confirmed the preventive effect of plant-derived diet on obesity, and the transition from animal-derived foods to plant-derived foods was also recommended to prevent chronic diseases and promote health (<xref ref-type="bibr" rid="ref36">36</xref>). Patients with obesity commonly prefer &#x201C;salt, umami, and fatty&#x201D; foods (<xref ref-type="bibr" rid="ref37">37</xref>). Consistently, in our study, the children with obesity also self-reported a preference for heavy flavored foods. Additionally, studies have found that children who are breastfed for longer durations develop a preference for neutral flavored foods with less sweetness and fat (<xref ref-type="bibr" rid="ref38">38</xref>). These results demonstrated that breastfeeding-based dietary favor might partially explain the preventive role of breastfeeding on childhood obesity. Moreover, nowadays, because of habitual fried snacks intakes, children&#x2019;s intake of high-fat and salty foods has increased correspondingly (<xref ref-type="bibr" rid="ref39">39</xref>). Especially, the consumption of snacks before stable meals further increased satiety of the child, resulting in reduced sense of hunger and desire for foods, and therefore disturbing the normal consumption of stable meals (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>Interestingly, in the current study, we also found that the children with obesity consumed more types of food per day in comparison with the non-obesity ones. The dietary diversity score is an indicator constructed to evaluate individual&#x2019;s dietary habits based on the types of foods consumed. Researchers have found a negative correlation between obesity and the Dietary Diversity Score (DDS) in children, and an increased DDS suggests a reduced risk of overweight (<xref ref-type="bibr" rid="ref41">41</xref>). Results from another study also revealed that the dietary diversity was positively correlated with overweight in male Chinese (<xref ref-type="bibr" rid="ref42">42</xref>), and the same relation was observed in the study conducted in preschool children in the United States (<xref ref-type="bibr" rid="ref43">43</xref>). Discrepant impacts of plant-derived and animal-derived foods on the risk of obesity may be the reason for explaining the different correlations between dietary diversity and childhood obesity. An in-depth investigation is expected to further explore the relation between plant derived DDS and animal derived DDS with childhood obesity in future research. The dietary management for childhood obesity should focus on controlling total daily energy intake, adjusting food proportion, and choosing appropriate food types, rather than simply limiting food intakes. Replacing foods that potentially increased the risk of obesity, including processed foods, snacks, red meat, and refined grains (<xref ref-type="bibr" rid="ref44">44</xref>) with more light meat, fish, vegetables, and whole grains, might be a smart way to guarantee food diversity, and effectively preventing childhood obesity.</p>
<p>Evidence has shown that combination of dietary intervention with physical activity or psychology treatment could efficiently control body weight (<xref ref-type="bibr" rid="ref45">45</xref>). In our study, physical activity was a significant factor contributing to the risk of childhood obesity. Overweight adolescents with less daily physical activity habit are susceptible of becoming obese after grow up in the future (<xref ref-type="bibr" rid="ref46">46</xref>), so adequate physical activity was commonly recommended to the overweight adolescents to prevent obesity in adulthood. Unfortunately, most primary and middle schools could not implement the sports activity guidelines (<xref ref-type="bibr" rid="ref47">47</xref>), thus, there is still a long way to go for the schools, communities, clinics, and the government to fulfill the physical activity interventional policies (<xref ref-type="bibr" rid="ref48">48</xref>), to reduce the incidence of childhood obesity and obesity related chronic diseases.</p>
<p>The major innovation of this study is the comprehensive analysis of early life diets (exclusive breastfeeding) and lifestyles (dietary habits and physical activity) with childhood obesity. However, there are still some limitations. Firstly, this study only investigated the duration of breastfeeding without clarifying whether complementary foods have been added and the time for adding complementary foods was unknown, which may be a potential confounding factor of the study. Dietary habits were influenced by the socioeconomic status of family/parents, but the study lacks investigation. Therefore, a more detailed survey needs to be developed in future research. Secondly, the cross-sectional study design made us fail to analyze the time trajectory changes of obesity in child underwent different breastfeeding duration and lifestyle habits, therefore could not determine the contribution of dietary pattern adjustment and food choices to the incidence of childhood obesity. Moreover, the study did not separately explore how breastfeeding duration and lifestyle factors affect obesity differently in males and females, which requires further analysis in the future. Finally, the small sample size was a major limitation of this study, and large scale prospective or randomized controlled trials are needed to provide more reliable and precise scientific evidence.</p>
</sec>
<sec sec-type="conclusions" id="sec16">
<label>5</label>
<title>Conclusion</title>
<p>In this study, we found that: (1) the dietary habits of children with obesity manifested as consuming more meat-based foods, preferring heavier flavor, and frequently snacking before meals; (2) breastfeeding for 4&#x2013;12&#x202F;months significantly reduced the risk of childhood obesity; (3) healthy lifestyle habits and prolonged breastfeeding duration are both protective factors for childhood obesity respectively, and the synergistic impact of healthy lifestyle habits and prolonged breastfeeding on the prevention of childhood obesity is much more significant.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec17">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors under reasonable request.</p>
</sec>
<sec sec-type="ethics-statement" id="sec18">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Committee on Medical Ethics of Suzhou Science and Technology City Hospital. The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec sec-type="author-contributions" id="sec19">
<title>Author contributions</title>
<p>YL: Conceptualization, Software, Methodology, Writing &#x2013; original draft. YG: Methodology, Writing &#x2013; original draft, Visualization, Formal analysis. JM: Investigation, Writing &#x2013; original draft. ZD: Investigation, Writing &#x2013; original draft. XW: Investigation, Writing &#x2013; original draft. XR: Writing &#x2013; original draft, Investigation. LL: Investigation, Writing &#x2013; original draft. JX: Investigation, Writing &#x2013; original draft. CZ: Writing &#x2013; review &#x0026; editing. SZ: Writing &#x2013; review &#x0026; editing. NM: Writing &#x2013; original draft, Investigation. LY: Writing &#x2013; review &#x0026; editing, Conceptualization, Funding acquisition, Supervision. YW: Funding acquisition, Supervision, Conceptualization, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec20">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was supported by grants from the National Natural Science Foundation of China (No. 82173508), Nutrilite Plant Functional Components and Health Research Fund of Chinese Nutrition Society (No. CNS-NCL2024-04) and Science and technology project of Suzhou Health Commission (No. MSXM2024079).</p>
</sec>
<sec sec-type="COI-statement" id="sec21">
<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="sec22">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec23">
<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="sec24">
<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.2025.1598141/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1598141/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; TG, triglyceride; WC, waist circumference; Q, quartile; OR, odds ratio; AUC, Area Under Curve; SHAP, SHapley Additive exPlanation; DDS, Dietary Diversity Score.</p>
</fn>
</fn-group>
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