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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nutr.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Nutrition</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nutr.</abbrev-journal-title>
</journal-title-group>
<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.2025.1609626</article-id><article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading"><subject>Original Research</subject></subj-group>
</article-categories>
<title-group>
<article-title>Planetary Health Diet Index and self-reported kidney stones in US adults: mediating role of high-density lipoprotein cholesterol</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Yang</surname>
<given-names>Qinglong</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Haolin</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn0003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Nan</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Hanyuan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Tang</surname>
<given-names>Haoxian</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Jingtao</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Xuan</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2284896"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Liao</surname>
<given-names>Wenqiang</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1947188"/>
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<contrib contrib-type="author">
<name>
<surname>Hou</surname>
<given-names>Gaoming</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
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<contrib contrib-type="author">
<name>
<surname>Lin</surname>
<given-names>Yuxue</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>Zexuan</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sui</surname>
<given-names>Xuxia</given-names>
</name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yang</surname>
<given-names>Qingtao</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Urology, The Second Affiliated Hospital of Shantou University Medical College</institution>, <city>Shantou, Guangdong</city>, <country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Thyroid, Breast and Hernia Surgery, General Surgery, The Second Affiliated Hospital of Shantou University Medical College</institution>, <city>Shantou, Guangdong</city>, <country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Shantou University Medical College</institution>, <city>Shantou, Guangdong</city>, <country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Psychiatry, Shantou University Mental Health Center</institution>, <city>Shantou, Guangdong</city>, <country country="cn">China</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Cardiology, The First Affiliated Hospital of Shantou University Medical College</institution>, <city>Shantou, Guangdong</city>, <country country="cn">China</country></aff>
<aff id="aff6"><label>6</label><institution>Department of Sports Medicine and Rehabilitation, Peking University Shenzhen Hospital</institution>, <city>Shenzhen, Guangdong</city>, <country country="cn">China</country></aff>
<aff id="aff7"><label>7</label><institution>Department of Bone &#x0026; Joint Surgery, Peking University Shenzhen Hospital</institution>, <city>Shenzhen, Guangdong</city>, <country country="cn">China</country></aff>
<aff id="aff8"><label>8</label><institution>Department of Pathogenic Biology, Shantou University Medical College</institution>, <city>Shantou, Guangdong</city>, <country country="cn">China</country></aff>
<author-notes><corresp id="c001"><label>&#x002A;</label>Correspondence: Qingtao Yang, <email xlink:href="mailto:yang2001tao@126.com">yang2001tao@126.com</email>; Xuxia Sui, <email xlink:href="mailto:suixuxia@126.com">suixuxia@126.com</email></corresp><fn fn-type="equal" id="fn0003"><label>&#x2020;</label><p>These authors have contributed equally to this work and share first authorship</p></fn></author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-10">
<day>10</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>12</volume>
<elocation-id>1609626</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>27</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Yang, Chen, Luo, Lin, Tang, Huang, Zhang, Liao, Hou, Lin, Liu, Sui and Yang.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Yang, Chen, Luo, Lin, Tang, Huang, Zhang, Liao, Hou, Lin, Liu, Sui and Yang</copyright-holder>
<license><ali:license_ref start_date="2025-11-10">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Kidney stone is a universal health concern, with its incidence influenced by dietary habits. The Planetary Health Diet (PHD) benefits human health and the environment.</p>
</sec>
<sec id="sec2">
<title>Objective</title>
<p>This study aims to examine the relationship between the Planetary Health Diet Index (PHDI) and self-reported kidney stones and to explore the mediating role of high-density lipoprotein cholesterol (HDL-C).</p>
</sec>
<sec id="sec3">
<title>Methods</title>
<p>This study included 19,249 participants (&#x2265;20&#x202F;years old) from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2018. Kidney stone diagnoses were self-reported. Higher PHDI scores represented greater compliance with the PHD. The statistical analyses encompassed a weighted multivariable logistic regression model, restricted cubic spline curve analysis, mediation analyses, subgroup analysis, and sensitivity analysis.</p>
</sec>
<sec id="sec4">
<title>Results</title>
<p>In the fully adjusted model, each 10-point rise in PHDI was tied to an 8% decrease in self-reported kidney stone risk (OR, 0.92; 95% CI, 0.87&#x2013;0.97). Participants in the top quintile of PHDI had a 25% lower risk of self-reported kidney stones than those in the bottom quintile (OR, 0.75; 95% CI, 0.58&#x2013;0.96). HDL-C mediated 6.0% of the correlation between PHDI and self-reported kidney stones.</p>
</sec>
<sec id="sec5">
<title>Conclusion</title>
<p>Planetary Health Diet Index reduced the risk of self-reported kidney stones, with HDL-C partially mediating this effect.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Planetary Health Diet Index</kwd>
<kwd>kidney stones</kwd>
<kwd>high-density lipoprotein cholesterol</kwd>
<kwd>NHANES</kwd>
<kwd>association</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by the Shantou Medical Science and Technology Planning Project (grant numbers: 2022-81-22, 2024-72-102, 2024-72-111), and the 2025 Guangdong Provincial Administration of Traditional Chinese Medicine Research Project (grant number: 20251195).</funding-statement></funding-group>
<counts>
<fig-count count="4"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="70"/>
<page-count count="12"/>
<word-count count="8531"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Clinical Nutrition</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec6">
<label>1</label>
<title>Introduction</title>
<p>Kidney stone represents a prevalent urological disorder, manifesting in roughly 1 in 11 persons in the US (<xref ref-type="bibr" rid="ref1">1</xref>), with an extremely high recurrence rate of around 50% within a decade (<xref ref-type="bibr" rid="ref2">2</xref>). It has been observed to contribute to the development of chronic kidney disease (<xref ref-type="bibr" rid="ref3">3</xref>), urinary tract infection (<xref ref-type="bibr" rid="ref4">4</xref>), end-stage renal disease (<xref ref-type="bibr" rid="ref5">5</xref>), cardiovascular disease (CVD) (<xref ref-type="bibr" rid="ref6">6</xref>), and osteoporosis (<xref ref-type="bibr" rid="ref7">7</xref>), posing remarkable health challenges. In addition, the diagnosis and treatment place a substantial economic strain on healthcare systems (<xref ref-type="bibr" rid="ref8">8</xref>). Therefore, developing effective prevention strategies for kidney stones is of paramount importance.</p>
<p>The food system&#x2019;s influence on the environment and human health is profound and complex. While feeding a growing global population, the current system also leads to environmental degradation and public health risks. To address this, the EAT-Lancet Commission published a proposal in 2019, namely the Planetary Health Diet (PHD), which promotes plant-based foods and recommends the moderation of animal-based products (<xref ref-type="bibr" rid="ref9">9</xref>). In addition, the Planetary Health Diet Index (PHDI) is a method to quantify an individual&#x2019;s or population&#x2019;s adherence to the PHD guidelines (<xref ref-type="bibr" rid="ref10">10</xref>&#x2013;<xref ref-type="bibr" rid="ref12">12</xref>). Notably, the PHD differs from alternative dietary patterns in that it promotes planetary sustainability by lowering greenhouse gas emissions, freshwater consumption, and the usage of nitrogen and phosphorus (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref13">13</xref>), making it increasingly relevant amid growing environmental concerns.</p>
<p>Additionally, the PHD was linked to a decreased risk of several illnesses, including CVD (<xref ref-type="bibr" rid="ref14">14</xref>), asthma (<xref ref-type="bibr" rid="ref15">15</xref>), metabolic dysfunction-associated fatty liver disease (<xref ref-type="bibr" rid="ref16">16</xref>), and diabetes mellitus (DM) (<xref ref-type="bibr" rid="ref17">17</xref>). However, its association with kidney stones remains unclear. Prior studies have demonstrated the repercussions of diet on the formation of kidney stones, with interventions such as reducing processed and red meat intake (<xref ref-type="bibr" rid="ref18">18</xref>) and increasing fruit and fiber consumption (<xref ref-type="bibr" rid="ref19">19</xref>) effectively lowering risk. Given that the PHD emphasizes plant-based foods and moderate animal product intake, adherence to the PHD may reduce kidney stone risk. This would provide a scientific basis for dietary interventions that both prevent kidney stones and promote environmental sustainability, which is of substantial importance.</p>
<p>High-density lipoprotein cholesterol (HDL-C), colloquially termed &#x201C;good cholesterol,&#x201D; facilitates the transport of excess cholesterol from peripheral tissues to the liver (<xref ref-type="bibr" rid="ref20">20</xref>). As demonstrated by earlier research, PHDI and HDL-C correlated positively (<xref ref-type="bibr" rid="ref21">21</xref>). Moreover, elevated HDL-C was thought to reduce kidney stone risk (<xref ref-type="bibr" rid="ref22">22</xref>). Thus, we hypothesize that HDL-C may mediate the linkage between PHDI and the development of kidney stones.</p>
<p>Our study utilized the National Health and Nutrition Examination Survey (NHANES) database to probe the nexus between PHDI and self-reported kidney stones in US adults, with specific attention directed toward the hypothetical mediating function of HDL-C.</p>
</sec>
<sec sec-type="methods" id="sec7">
<label>2</label>
<title>Method</title>
<sec id="sec8">
<label>2.1</label>
<title>Data sources</title>
<p>The National Center for Health Statistics (NCHS) spearheads the NHANES, which is a sequence of detailed, stratified, multistage, and ongoing surveys carried out to evaluate the dietary habits and health condition of a representative segment of individuals residing in the US community. Each year, NHANES assesses about 5,000 individuals through comprehensive interviews and medical evaluations. The interviews collect a wide range of data, including population characteristics, economic status, dietary intake, and data about health; the medical evaluations involve laboratory analyses and physiological assessments. It was obligatory for all participants to furnish written informed consent preceding their incorporation into the study. Moreover, the survey protocol received thorough ethical evaluation and approval from the NCHS Research Ethics Review Board, thereby ensuring compliance with established ethical standards and guidelines throughout the research process.</p>
</sec>
<sec id="sec9">
<label>2.2</label>
<title>Study population</title>
<p>The study utilized data from six NHANES survey cycles, involving 34,770 participants aged 20&#x202F;years or over. Exclusion criteria included pregnant women (<italic>n</italic>&#x202F;=&#x202F;374), participants without the requisite information on PHDI (<italic>n</italic>&#x202F;=&#x202F;11,028), self-reported kidney stones (<italic>n</italic>&#x202F;=&#x202F;91), HDL-C (<italic>n</italic>&#x202F;=&#x202F;1,049), and participants with missing data on demographics variables (<italic>n</italic>&#x202F;=&#x202F;1,867), as well as participants with unavailable data on body mass index (BMI), physical activity, smoke, alcohol use, energy intake, hypertension, DM, and CVD. The study ultimately included 19,249 participants (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption><p>The flow chart of the study. BMI, body mass index; CVD, cardiovascular disease; DM, diabetes mellitus; HDL-C, high-density lipoprotein cholesterol; NHANES, National Health and Nutrition Examination Survey; PHDI, Planetary Health Diet Index; PIR, poverty income ratio.</p></caption>
<graphic xlink:href="fnut-12-1609626-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart detailing participant selection in a study from the NHANES dataset between 2007 and 2018. It starts with 34,770 participants aged 20 and older, excluding 374 pregnant women, leaving 34,396 participants. From these, 23,277 have available exposure and outcome information. Further exclusions include 11,028 without complete components of PHDI, 91 lacking information on self-reported kidney stones, 1,049 without HDL-C data, 1,867 lacking demographic data, and 1,112 without available data on BMI and other factors. The final sample comprises 19,249 participants.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec10">
<label>2.3</label>
<title>Measurement of PHDI</title>
<p>We calculated PHDI based on two 24-h dietary recall reports. The PHDI includes 15 food components with scores ranging from 0 to 140. <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 1</xref> provides a comprehensive overview of the components and scoring criteria for the PHDI, and the reliability of the scoring system has been validated in previous studies (<xref ref-type="bibr" rid="ref10">10</xref>&#x2013;<xref ref-type="bibr" rid="ref12">12</xref>).</p>
</sec>
<sec id="sec11">
<label>2.4</label>
<title>Diagnosis of kidney stones</title>
<p>Kidney stone diagnoses were based on self-reports. The participants were posed the question, &#x201C;Have you ever had kidney stones?,&#x201D; with answers affirming this condition being categorized as positive. The validity of self-reported diagnoses of kidney stones has hitherto been established in preceding studies (see <xref rid="SM1" ref-type="supplementary-material">Supplementary Method 1</xref>) (<xref ref-type="bibr" rid="ref23">23</xref>).</p>
</sec>
<sec id="sec12">
<label>2.5</label>
<title>Measurement of HDL-C</title>
<p>The measurement of HDL-C was achieved by a direct immunoassay (see <xref rid="SM1" ref-type="supplementary-material">Supplementary Method 2</xref>). Detailed laboratory methods are available on the NHANES website.</p>
</sec>
<sec id="sec13">
<label>2.6</label>
<title>Covariates</title>
<p>The covariates employed in our study were broadly divided into four primary categories: demographic variables (age, sex, race/ethnicity, marital status, poverty income ratio (PIR), and education level); behavioral and lifestyle variables (physical activity, smoke, and alcohol use); body measurements (BMI and energy intake); and history of medical conditions (hypertension, DM, and CVD). Comprehensive elucidation of the covariates can be accessed from <xref rid="SM1" ref-type="supplementary-material">Supplementary Method 3</xref>.</p>
</sec>
<sec id="sec14">
<label>2.7</label>
<title>Statistical analysis</title>
<p>In view of the complex sampling design, appropriate weights were applied following the guidelines for NHANES analyses. For continuous variables, the Wilcoxon rank-sum test for complex survey samples was used, whereas the chi-squared test with Rao and Scott&#x2019;s second-order correction was employed for categorical variables. The analysis of participant characteristics was conducted based on PHDI quintiles. Continuous variables were reported as mean values accompanied by standard errors (SE), while categorical variables were displayed as numbers and percentages.</p>
<p>The study&#x2019;s primary objective was to examine the association between PHDI and self-reported kidney stones; secondary objectives included evaluating the relationship between HDL-C and self-reported kidney stones and determining whether HDL-C mediates the association between PHDI and self-reported kidney stones. The PHDI was entered into the regression analyses in two different forms: a continuous variable, with increments of 10 points, and a categorical variable, with quintiles. We used a weighted multivariable logistic regression model to analyze the link between PHDI and its components with self-reported kidney stones, and the correlation between HDL-C and self-reported kidney stones. To minimize potential bias, we employed propensity score matching (PSM) (1:1) to create a control group and conducted weighted multivariable logistic regression on the matched data to assess the relationship between PHDI and self-reported kidney stones. The relationship between PHDI and HDL-C was assessed using a weighted multivariable linear model. Three distinct models were analyzed in our study. Model 1 was the unadjusted crude model with no covariate adjustments. Model 2 involved adjustments for age, sex, race/ethnicity, marital status, PIR, and education level. Model 3 extended the adjustments from Model 2 by incorporating additional confounders, including BMI, physical activity, smoke, alcohol use, energy intake, hypertension, DM, and CVD. We utilized a restricted cubic spline (RCS) analysis to elucidate the dose&#x2013;response association, investigating the potential nonlinear relationship between PHDI and self-reported kidney stone risk.</p>
<p>In pursuit of elucidating the mediating function of HDL-C in the relationship between PHDI and self-reported kidney stones, we conducted mediation analyses using the R package &#x201C;mediation.&#x201D; Stratified analyses were conducted by age, sex, race/ethnicity, marital status, educational level, smoke, alcohol use, hypertension, DM, and CVD. To assess interaction effects, we added an interaction term to the regression model to determine how the influence of one factor on the outcome changes depending on the level of another factor. In the sensitivity analysis, we utilized the R package &#x201C;mice&#x201D; to impute missing covariate data by chained-equation multivariate estimation, followed by the reassessment of the connection between PHDI and self-reported kidney stone risk.</p>
<p>All statistical analyses utilized R (version 4.4.1), supplemented by the survey package (version 4.1&#x2013;1), and a <italic>p</italic>-value of less than 0.05 on a two-sided test was indicative of statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<label>3</label>
<title>Results</title>
<sec id="sec16">
<label>3.1</label>
<title>Baseline characteristics</title>
<p><xref ref-type="table" rid="tab1">Table 1</xref> offers a comprehensive presentation of the baseline characteristics of 19,249 US adults (weighted population&#x202F;=&#x202F;169,992,653) grouped by PHDI quintiles. The weighted mean age was 48.27 (SE&#x202F;=&#x202F;0.30) years, and female participants accounted for 52.41% of the total. In comparison with participants in the bottom PHDI quintile, those in the top quintile were inclined to be of advanced age, female, married, have a higher PIR, possess an education level above high school, have a lower BMI, engage in physical activity actively, never smoke or drink alcohol, have lower energy intake, not have hypertension, have higher HDL-C levels, and not have self-reported kidney stones. After PSM, no significant differences in baseline characteristics were observed between the groups with and without self-reported kidney stones. Each group comprised 1,923 cases (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption><p>Characteristics of participants in the NHANES 2007&#x2013;2018 cycles.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Characteristic</th>
<th align="center" valign="top" colspan="7">PHDI quintile</th>
</tr>
<tr>
<th align="center" valign="top">Overall (19,249)</th>
<th align="center" valign="top">Q1 (3,850)</th>
<th align="center" valign="top">Q2 (3,850)</th>
<th align="center" valign="top">Q3 (3,849)</th>
<th align="center" valign="top">Q4 (3,850)</th>
<th align="center" valign="top">Q5 (3,850)</th>
<th align="center" valign="top"><italic>P</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Weighted population</td>
<td align="center" valign="top">169,992,653</td>
<td align="center" valign="top">32,567,152</td>
<td align="center" valign="top">34,147,456</td>
<td align="center" valign="top">35,487,603</td>
<td align="center" valign="top">33,573,419</td>
<td align="center" valign="top">34,217,023</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Age, mean (SE), years</td>
<td align="center" valign="top">48.27(0.30)</td>
<td align="center" valign="top">44.14 (0.34)</td>
<td align="center" valign="top">46.44 (0.44)</td>
<td align="center" valign="top">48.60 (0.50)</td>
<td align="center" valign="top">50.55 (0.51)</td>
<td align="center" valign="top">51.42 (0.53)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Age group, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">20&#x2013;39</td>
<td align="center" valign="top">5,873 (34.57)</td>
<td align="center" valign="top">1,518 (43.77)</td>
<td align="center" valign="top">1,316 (37.93)</td>
<td align="center" valign="top">1,138 (33.36)</td>
<td align="center" valign="top">1,037 (30.65)</td>
<td align="center" valign="top">864 (27.58)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">40&#x2013;59</td>
<td align="center" valign="top">6,443 (37.61)</td>
<td align="center" valign="top">1,298 (36.72)</td>
<td align="center" valign="top">1,287 (37.88)</td>
<td align="center" valign="top">1,288 (38.82)</td>
<td align="center" valign="top">1,242 (36.22)</td>
<td align="center" valign="top">1,328 (38.27)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">&#x2265;60</td>
<td align="center" valign="top">6,933 (27.82)</td>
<td align="center" valign="top">1,034 (19.51)</td>
<td align="center" valign="top">1,247 (24.19)</td>
<td align="center" valign="top">1,423 (27.83)</td>
<td align="center" valign="top">1,571 (33.13)</td>
<td align="center" valign="top">1,658 (34.15)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Sex, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Female</td>
<td align="center" valign="top">10,095 (52.41)</td>
<td align="center" valign="top">1,641 (42.73)</td>
<td align="center" valign="top">1,950 (49.50)</td>
<td align="center" valign="top">2,043 (53.31)</td>
<td align="center" valign="top">2,190 (56.95)</td>
<td align="center" valign="top">2,271 (59.12)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td align="center" valign="top">9,154 (47.59)</td>
<td align="center" valign="top">2,209 (57.27)</td>
<td align="center" valign="top">1,900 (50.50)</td>
<td align="center" valign="top">1,806 (46.69)</td>
<td align="center" valign="top">1,660 (43.05)</td>
<td align="center" valign="top">1,579 (40.88)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Race/ethnicity, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Mexican American</td>
<td align="center" valign="top">2,694 (8.13)</td>
<td align="center" valign="top">386 (6.26)</td>
<td align="center" valign="top">512 (8.68)</td>
<td align="center" valign="top">603 (8.68)</td>
<td align="center" valign="top">625 (8.92)</td>
<td align="center" valign="top">568 (8.02)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic Black</td>
<td align="center" valign="top">3,748 (9.57)</td>
<td align="center" valign="top">1,025 (14.43)</td>
<td align="center" valign="top">924 (12.16)</td>
<td align="center" valign="top">734 (9.08)</td>
<td align="center" valign="top">568 (7.02)</td>
<td align="center" valign="top">497 (5.38)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">8,891 (69.55)</td>
<td align="center" valign="top">1,938 (69.49)</td>
<td align="center" valign="top">1,800 (68.41)</td>
<td align="center" valign="top">1,804 (71.40)</td>
<td align="center" valign="top">1,740 (69.26)</td>
<td align="center" valign="top">1,609 (69.10)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Hispanic</td>
<td align="center" valign="top">1,875 (5.25)</td>
<td align="center" valign="top">291 (4.97)</td>
<td align="center" valign="top">355 (5.18)</td>
<td align="center" valign="top">405 (5.22)</td>
<td align="center" valign="top">459 (6.07)</td>
<td align="center" valign="top">365 (4.83)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Other Race</td>
<td align="center" valign="top">2,041 (7.50)</td>
<td align="center" valign="top">210 (4.86)</td>
<td align="center" valign="top">259 (5.57)</td>
<td align="center" valign="top">303 (5.62)</td>
<td align="center" valign="top">458 (8.74)</td>
<td align="center" valign="top">811 (12.67)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Marital status, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Married</td>
<td align="center" valign="top">10,313 (56.91)</td>
<td align="center" valign="top">1,824 (49.41)</td>
<td align="center" valign="top">1,911 (52.62)</td>
<td align="center" valign="top">2,019 (56.97)</td>
<td align="center" valign="top">2,201 (61.78)</td>
<td align="center" valign="top">2,358 (63.49)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Never married</td>
<td align="center" valign="top">3,224 (17.63)</td>
<td align="center" valign="top">821 (22.05)</td>
<td align="center" valign="top">731 (19.47)</td>
<td align="center" valign="top">650 (17.85)</td>
<td align="center" valign="top">522 (14.15)</td>
<td align="center" valign="top">500 (14.77)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Living with partner</td>
<td align="center" valign="top">1,447 (7.62)</td>
<td align="center" valign="top">396 (10.11)</td>
<td align="center" valign="top">328 (8.91)</td>
<td align="center" valign="top">291 (7.02)</td>
<td align="center" valign="top">239 (6.27)</td>
<td align="center" valign="top">193 (5.91)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Other</td>
<td align="center" valign="top">4,265 (17.84)</td>
<td align="center" valign="top">809 (18.43)</td>
<td align="center" valign="top">880 (19.00)</td>
<td align="center" valign="top">889 (18.16)</td>
<td align="center" valign="top">888 (17.81)</td>
<td align="center" valign="top">799 (15.83)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">PIR, Mean (SE)</td>
<td align="center" valign="top">3.09 (0.04)</td>
<td align="center" valign="top">2.63 (0.05)</td>
<td align="center" valign="top">2.85 (0.05)</td>
<td align="center" valign="top">3.11 (0.05)</td>
<td align="center" valign="top">3.31 (0.05)</td>
<td align="center" valign="top">3.52 (0.05)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Education level, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="bottom">Less than high school</td>
<td align="center" valign="top">4,003 (13.08)</td>
<td align="center" valign="top">987 (18.30)</td>
<td align="center" valign="top">861 (15.03)</td>
<td align="center" valign="top">786 (11.80)</td>
<td align="center" valign="top">776 (12.10)</td>
<td align="center" valign="top">593 (8.45)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">High school or equivalent</td>
<td align="center" valign="top">4,382 (22.69)</td>
<td align="center" valign="top">1,134 (31.08)</td>
<td align="center" valign="top">1,015 (25.38)</td>
<td align="center" valign="top">940 (24.67)</td>
<td align="center" valign="top">752 (19.74)</td>
<td align="center" valign="top">541 (12.88)</td>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Above high school</td>
<td align="center" valign="top">10,864 (64.23)</td>
<td align="center" valign="top">1,729 (50.62)</td>
<td align="center" valign="top">1,974 (59.58)</td>
<td align="center" valign="top">2,123 (63.53)</td>
<td align="center" valign="top">2,322 (68.17)</td>
<td align="center" valign="top">2,716 (78.66)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">BMI, mean (SE), kg/m<sup>2</sup></td>
<td align="center" valign="top">29.19 (0.11)</td>
<td align="center" valign="top">30.19 (0.19)</td>
<td align="center" valign="top">29.90 (0.17)</td>
<td align="center" valign="top">29.55 (0.16)</td>
<td align="center" valign="top">28.69 (0.18)</td>
<td align="center" valign="top">27.63 (0.17)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Physical activity, min/wk., no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">None (inactive)</td>
<td align="center" valign="top">4,940 (20.66)</td>
<td align="center" valign="top">1,079 (23.53)</td>
<td align="center" valign="top">1,115 (24.17)</td>
<td align="center" valign="top">1,004 (20.71)</td>
<td align="center" valign="top">976 (20.05)</td>
<td align="center" valign="top">766 (14.98)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">0 to &#x003C;150 (insufficiently active)</td>
<td align="center" valign="top">2,638 (13.48)</td>
<td align="center" valign="top">495 (12.98)</td>
<td align="center" valign="top">533 (14.06)</td>
<td align="center" valign="top">522 (14.39)</td>
<td align="center" valign="top">559 (15.05)</td>
<td align="center" valign="top">529 (10.90)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">&#x2265;150 (active)</td>
<td align="center" valign="top">11,671 (65.86)</td>
<td align="center" valign="top">2,276 (63.50)</td>
<td align="center" valign="top">2,202 (61.76)</td>
<td align="center" valign="top">2,323 (64.90)</td>
<td align="center" valign="top">2,315 (64.89)</td>
<td align="center" valign="top">2,555 (74.13)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Smoke, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="center" valign="top">10,778 (56.68)</td>
<td align="center" valign="top">1,726 (46.08)</td>
<td align="center" valign="top">1,974 (53.85)</td>
<td align="center" valign="top">2,163 (56.54)</td>
<td align="center" valign="top">2,358 (61.99)</td>
<td align="center" valign="top">2,557 (64.53)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Former</td>
<td align="center" valign="top">4,955 (25.71)</td>
<td align="center" valign="top">849 (22.30)</td>
<td align="center" valign="top">929 (22.90)</td>
<td align="center" valign="top">1,056 (27.23)</td>
<td align="center" valign="top">1,082 (27.01)</td>
<td align="center" valign="top">1,039 (28.89)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Now</td>
<td align="center" valign="top">3,516 (17.61)</td>
<td align="center" valign="top">1,275 (31.62)</td>
<td align="center" valign="top">947 (23.25)</td>
<td align="center" valign="top">630 (16.24)</td>
<td align="center" valign="top">410 (11.00)</td>
<td align="center" valign="top">254 (6.58)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Alcohol use, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Never</td>
<td align="center" valign="top">2,518 (10.39)</td>
<td align="center" valign="top">376 (7.89)</td>
<td align="center" valign="top">482 (11.40)</td>
<td align="center" valign="top">486 (10.27)</td>
<td align="center" valign="top">530 (10.01)</td>
<td align="center" valign="top">644 (12.27)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Former</td>
<td align="center" valign="top">3,608 (15.28)</td>
<td align="center" valign="top">844 (19.04)</td>
<td align="center" valign="top">732 (15.78)</td>
<td align="center" valign="top">709 (14.42)</td>
<td align="center" valign="top">703 (14.24)</td>
<td align="center" valign="top">620 (13.10)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Now</td>
<td align="center" valign="top">13,123 (74.33)</td>
<td align="center" valign="top">2,630 (73.06)</td>
<td align="center" valign="top">2,636 (72.82)</td>
<td align="center" valign="top">2,654 (75.31)</td>
<td align="center" valign="top">2,617 (75.75)</td>
<td align="center" valign="top">2,586 (74.63)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Energy intake, mean (SE), kcal/d</td>
<td align="center" valign="top">2,013.09 (6.75)</td>
<td align="center" valign="top">2,128.62 (13.46)</td>
<td align="center" valign="top">2,015.22 (15.01)</td>
<td align="center" valign="top">2,005.52 (16.21)</td>
<td align="center" valign="top">1,963.70 (15.12)</td>
<td align="center" valign="top">1,957.31 (17.68)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Hypertension, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.02</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">10,755 (61.70)</td>
<td align="center" valign="top">2,230 (63.27)</td>
<td align="center" valign="top">2,157 (62.55)</td>
<td align="center" valign="top">2,108 (60.61)</td>
<td align="center" valign="top">2,072 (58.37)</td>
<td align="center" valign="top">2,188 (63.74)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">8,494 (38.30)</td>
<td align="center" valign="top">1,620 (36.73)</td>
<td align="center" valign="top">1,693 (37.45)</td>
<td align="center" valign="top">1,741 (39.39)</td>
<td align="center" valign="top">1,778 (41.63)</td>
<td align="center" valign="top">1,662 (36.26)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">DM, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.77</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">15,497 (85.50)</td>
<td align="center" valign="top">3,190 (86.25)</td>
<td align="center" valign="top">3,127 (85.92)</td>
<td align="center" valign="top">3,040 (84.97)</td>
<td align="center" valign="top">3,065 (85.15)</td>
<td align="center" valign="top">3,075 (85.29)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">3,752 (14.50)</td>
<td align="center" valign="top">660 (13.75)</td>
<td align="center" valign="top">723 (14.08)</td>
<td align="center" valign="top">809 (15.03)</td>
<td align="center" valign="top">785 (14.85)</td>
<td align="center" valign="top">775 (14.71)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">CVD, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.25</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">17,066 (91.19)</td>
<td align="center" valign="top">3,412 (91.89)</td>
<td align="center" valign="top">3,394 (91.27)</td>
<td align="center" valign="top">3,395 (90.35)</td>
<td align="center" valign="top">3,392 (90.60)</td>
<td align="center" valign="top">3,473 (91.87)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">2,183 (8.81)</td>
<td align="center" valign="top">438 (8.11)</td>
<td align="center" valign="top">456 (8.73)</td>
<td align="center" valign="top">454 (9.65)</td>
<td align="center" valign="top">458 (9.40)</td>
<td align="center" valign="top">377 (8.13)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">HDL-C, mean (SE), mg/dL</td>
<td align="center" valign="top">53.39 (0.24)</td>
<td align="center" valign="top">49.01 (0.32)</td>
<td align="center" valign="top">51.36 (0.34)</td>
<td align="center" valign="top">53.88 (0.39)</td>
<td align="center" valign="top">54.97 (0.50)</td>
<td align="center" valign="top">57.54 (0.44)</td>
<td align="char" valign="top" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top">Self-reported kidney stones, no. (%)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">17,326 (90.02)</td>
<td align="center" valign="top">3,439 (89.19)</td>
<td align="center" valign="top">3,418 (88.20)</td>
<td align="center" valign="top">3,466 (90.59)</td>
<td align="center" valign="top">3,486 (90.97)</td>
<td align="center" valign="top">3,517 (91.13)</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">1,923 (9.98)</td>
<td align="center" valign="top">411 (10.81)</td>
<td align="center" valign="top">432 (11.80)</td>
<td align="center" valign="top">383 (9.41)</td>
<td align="center" valign="top">364 (9.03)</td>
<td align="center" valign="top">333 (8.87)</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; CVD, cardiovascular disease; DM, diabetes mellitus; HDL-C, high-density lipoprotein cholesterol; NHANES, National Health and Nutrition Examination Survey; PHDI, Planetary Health Diet Index; PIR, poverty income ratio; Q, quintile; SE, standard error. All means and SEs for continuous variables and percentages for categorical variables were weighted.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec17">
<label>3.2</label>
<title>Association between PHDI and self-reported kidney stones</title>
<p>As elucidated in <xref ref-type="table" rid="tab2">Table 2</xref>, there exists a demonstrable correlation between PHDI and the incidence of self-reported kidney stones. The findings in Model 3 indicated an 8% decrease in the likelihood of developing self-reported kidney stones for every 10-point elevation in PHDI (OR, 0.92; 95% CI, 0.87&#x2013;0.97). Besides, participants within the uppermost PHDI quintile exhibited a 25% decreased risk of self-reported kidney stones in comparison to those within the nethermost quintile (OR, 0.75; 95% CI, 0.58&#x2013;0.96). After PSM, the association between PHDI and self-reported kidney stones remained largely unchanged (<xref ref-type="table" rid="tab2">Table 2</xref>). To further examine the dose&#x2013;response relationship, an RCS analysis was performed, which revealed an inverse linear relationship between PHDI and the presence of self-reported kidney stones (<italic>P</italic> for non-linearity: 0.48; <xref ref-type="fig" rid="fig2">Figure 2</xref>). <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 3</xref> presents the link between PHDI components and self-reported kidney stone risk. Whole grains, non-starchy vegetables, whole fruits, dairy, and added sugar were significant in the fully adjusted model.</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption><p>Association between PHDI and self-reported kidney stones.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="2" valign="top" align="left">PSM status</th>
<th rowspan="2" align="left" valign="top">Variable</th>
<th align="center" valign="top">Model 1<sup>a</sup></th>
<th align="center" valign="top" rowspan="2"><italic>P</italic>-value</th>
<th align="center" valign="top">Model 2<sup>b</sup></th>
<th align="center" valign="top" rowspan="2"><italic>P</italic>-value</th>
<th align="center" valign="top">Model 3<sup>c</sup></th>
<th align="center" valign="top" rowspan="2"><italic>P</italic>-value</th>
</tr>
<tr>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top">OR (95%CI)</th>
<th align="center" valign="top">OR (95%CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="8">Before PSM</td>
<td align="left" valign="top">PHDI score<sup>d</sup></td>
<td align="center" valign="middle">0.94 (0.89, 0.99)</td>
<td align="char" valign="middle" char=".">0.02</td>
<td align="center" valign="middle">0.90 (0.85, 0.95)</td>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td align="center" valign="middle">0.92 (0.87, 0.97)</td>
<td align="char" valign="middle" char=".">0.005</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Quintile</td>
</tr>
<tr>
<td align="left" valign="top">Q1</td>
<td align="center" valign="top">1[Reference]</td>
<td/>
<td align="center" valign="top">1[Reference]</td>
<td/>
<td align="center" valign="top">1[Reference]</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Q2</td>
<td align="center" valign="middle">1.10 (0.87, 1.40)</td>
<td align="char" valign="middle" char=".">0.41</td>
<td align="center" valign="middle">1.05 (0.82, 1.34)</td>
<td align="char" valign="middle" char=".">0.7</td>
<td align="center" valign="middle">1.08 (0.84, 1.38)</td>
<td align="char" valign="middle" char=".">0.56</td>
</tr>
<tr>
<td align="left" valign="top">Q3</td>
<td align="center" valign="middle">0.86 (0.69, 1.06)</td>
<td align="char" valign="middle" char=".">0.14</td>
<td align="center" valign="middle">0.76 (0.61, 0.95)</td>
<td align="char" valign="middle" char=".">0.02</td>
<td align="center" valign="middle">0.78 (0.63, 0.98)</td>
<td align="char" valign="middle" char=".">0.03</td>
</tr>
<tr>
<td align="left" valign="top">Q4</td>
<td align="center" valign="middle">0.82 (0.67, 1.00)</td>
<td align="char" valign="middle" char=".">0.06</td>
<td align="center" valign="middle">0.70 (0.56, 0.87)</td>
<td align="char" valign="middle" char=".">0.001</td>
<td align="center" valign="middle">0.74 (0.60, 0.92)</td>
<td align="char" valign="middle" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top">Q5</td>
<td align="center" valign="middle">0.80 (0.64, 1.01)</td>
<td align="char" valign="middle" char=".">0.06</td>
<td align="center" valign="middle">0.67 (0.53, 0.86)</td>
<td align="char" valign="middle" char=".">0.002</td>
<td align="center" valign="middle">0.75 (0.58, 0.96)</td>
<td align="char" valign="middle" char=".">0.02</td>
</tr>
<tr>
<td align="left" valign="top">Trend test</td>
<td/>
<td align="char" valign="middle" char=".">0.004</td>
<td/>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
<td/>
<td align="char" valign="middle" char=".">&#x003C;0.001</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="8">After PSM</td>
<td align="left" valign="top">PHDI score<sup>d</sup></td>
<td align="center" valign="middle">0.94 (0.90, 0.99)</td>
<td align="char" valign="middle" char=".">0.01</td>
<td align="center" valign="middle">0.93 (0.88, 0.98)</td>
<td align="char" valign="middle" char=".">0.004</td>
<td align="center" valign="middle">0.93 (0.88, 0.98)</td>
<td align="char" valign="middle" char=".">0.01</td>
</tr>
<tr>
<td align="left" valign="top" colspan="7">Quintile</td>
</tr>
<tr>
<td align="left" valign="top">Q1</td>
<td align="center" valign="top">1[Reference]</td>
<td/>
<td align="center" valign="top">1[Reference]</td>
<td/>
<td align="center" valign="top">1[Reference]</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Q2</td>
<td align="center" valign="middle">1.06 (0.87, 1.29)</td>
<td align="char" valign="middle" char=".">0.56</td>
<td align="center" valign="middle">1.05 (0.86, 1.28)</td>
<td align="char" valign="middle" char=".">0.65</td>
<td align="center" valign="middle">1.05 (0.86, 1.28)</td>
<td align="char" valign="middle" char=".">0.64</td>
</tr>
<tr>
<td align="left" valign="top">Q3</td>
<td align="center" valign="middle">0.89 (0.73, 1.09)</td>
<td align="char" valign="middle" char=".">0.27</td>
<td align="center" valign="middle">0.88 (0.71, 1.07)</td>
<td align="char" valign="middle" char=".">0.20</td>
<td align="center" valign="middle">0.88 (0.72, 1.08)</td>
<td align="char" valign="middle" char=".">0.23</td>
</tr>
<tr>
<td align="left" valign="top">Q4</td>
<td align="center" valign="middle">0.83 (0.68, 1.01)</td>
<td align="char" valign="middle" char=".">0.06</td>
<td align="center" valign="middle">0.81 (0.65, 0.99)</td>
<td align="char" valign="middle" char=".">0.04</td>
<td align="center" valign="middle">0.81 (0.66, 0.99)</td>
<td align="char" valign="middle" char=".">0.04</td>
</tr>
<tr>
<td align="left" valign="top">Q5</td>
<td align="center" valign="middle">0.85 (0.69, 1.04)</td>
<td align="char" valign="middle" char=".">0.11</td>
<td align="center" valign="middle">0.81 (0.65, 1.00)</td>
<td align="char" valign="middle" char=".">0.05</td>
<td align="center" valign="middle">0.81 (0.65, 1.01)</td>
<td align="char" valign="middle" char=".">0.06</td>
</tr>
<tr>
<td align="left" valign="top">Trend test</td>
<td/>
<td align="char" valign="middle" char=".">0.01</td>
<td/>
<td align="char" valign="middle" char=".">0.005</td>
<td/>
<td align="char" valign="middle" char=".">0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>BMI, body mass index; CI, Confidence Interval; CVD, cardiovascular disease; DM, diabetes mellitus; OR, Odd Ratio; PHDI, Planetary Health Diet Index; PIR, poverty income ratio; PSM, Propensity Score Matching; Q, quintile.</p>
<p><sup>a</sup>Crude model.</p>
<p><sup>b</sup>Adjusted for age, sex, race/ethnicity, marital status, PIR, education level.</p>
<p><sup>c</sup>Adjusted for age, sex, race/ethnicity, marital status, PIR, education level, BMI, physical activity, smoke, alcohol use, energy intake, hypertension, DM, and CVD.</p>
<p><sup>d</sup>PHDI score was entered as a continuous variable per 10 points increase.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption><p>Association between PHDI and self-reported kidney stones using restricted cubic splines regression. The model was adjusted for age, sex, race/ethnicity, marital status, PIR, education level, BMI, physical activity, smoke, alcohol use, energy intake, hypertension, DM, and CVD. Abbreviations: BMI, body mass index; CI, Confidence Interval; CVD, cardiovascular disease; DM, diabetes mellitus; OR, Odd Ratio; PHDI, Planetary Health Diet Index; PIR, poverty income ratio.</p></caption>
<graphic xlink:href="fnut-12-1609626-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graph showing the relationship between PHDI (x-axis) and odds ratio with 95% confidence interval (y-axis). The red line with a shaded area represents the data trend and confidence interval. A vertical dashed line is at PHDI 75, and a horizontal dashed line is at an odds ratio of 1.0. The P-value for non-linearity is 0.48.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec18">
<label>3.3</label>
<title>Mediation analyses</title>
<p>As shown in <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 4</xref>, each 10-point rise in PHDI was related to a 0.88&#x202F;mg/dL increase in HDL-C (<italic>&#x03B2;</italic>, 0.88; 95% CI, 0.67&#x2013;1.10). Additionally, HDL-C was inversely associated with self-reported kidney stones (OR, 0.99; 95% CI, 0.99&#x2013;1.00). <xref ref-type="fig" rid="fig3">Figure 3</xref> illustrates that HDL-C mediated 6.0% of the relationship between PHDI and self-reported kidney stones. Detailed mediating effects are provided in <xref rid="SM1" ref-type="supplementary-material">Supplementary Table 5</xref>.</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption><p>Mediation analysis of HDL-C in the association between PHDI and self-reported kidney stones. The model was adjusted for age, sex, race/ethnicity, marital status, PIR, education level, BMI, physical activity, smoke, alcohol use, energy intake, hypertension, DM, and CVD. Abbreviations: BMI, body mass index; CI, Confidence Interval; CVD, cardiovascular disease; DM, diabetes mellitus; HDL-C, high-density lipoprotein cholesterol; OR, Odd Ratio; PHDI, Planetary Health Diet Index; PIR, poverty income ratio.</p></caption>
<graphic xlink:href="fnut-12-1609626-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Path diagram showing relationships among PHDI, HDL-C, and self-reported kidney stones. Paths are labeled with statistical values: PHDI to HDL-C (\( \beta=0.88 \), \( p&#x003C;0.001 \)), HDL-C to stones (\( OR=0.99 \), \( p=0.02 \)), direct effect (\( OR=0.92 \), \( p=0.005 \)), and a mediation proportion of \( 6\% \).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec19">
<label>3.4</label>
<title>Subgroup and sensitivity analyses</title>
<p><xref ref-type="fig" rid="fig4">Figure 4</xref> shows no significant interaction between PHDI and self-reported kidney stone risk across different subgroups (<italic>P</italic> for interaction &#x003E; 0.05). Sensitivity analyses suggested that the relationship between PHDI and self-reported kidney stones remained consistent after multiple imputations for missing covariates (<xref rid="SM1" ref-type="supplementary-material">Supplementary Table 6</xref>).</p>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption><p>Association between PHDI and self-reported kidney stones in different subgroups. The model was adjusted for age, sex, race/ethnicity, marital status, PIR, education level, BMI, physical activity, smoke, alcohol use, energy intake, hypertension, DM, and CVD. Abbreviations: BMI, body mass index; CI, Confidence Interval; CVD, cardiovascular disease; DM, diabetes mellitus; OR, Odd Ratio; PHDI, Planetary Health Diet Index; PIR, poverty income ratio.</p></caption>
<graphic xlink:href="fnut-12-1609626-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Forest plot displaying odds ratios (OR) with 95% confidence intervals (CI) for various subgroups, including age, sex, race/ethnicity, marital status, education level, smoking, alcohol use, hypertension, diabetes mellitus (DM), and cardiovascular disease (CVD). Subgroups are detailed with case/total numbers, OR, and P values. The plot visualizes effect estimates aligned against a dashed vertical line at OR 1.0. Each horizontal line represents the CI, with markers indicating the OR for each subgroup.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec20">
<label>4</label>
<title>Discussion</title>
<p>This study was the earliest extensive cross-sectional analysis to explore the potential correlation between PHDI and self-reported kidney stones. PHDI was found to reduce self-reported kidney stone risk linearly. PHDI was positively correlated with HDL-C, which was negatively related to self-reported kidney stones. Mediation analysis indicated that HDL-C mediated 6.0% of the relationship between PHDI and self-reported kidney stones.</p>
<p>We observed significant heterogeneity in baseline characteristics across PHDI quintiles. The high-PHDI group exhibited not only better dietary quality but also lower BMI, higher physical activity levels, and reduced smoking and drinking rates. Additionally, this group showed a significantly lower prevalence of hypertension compared to the low-PHDI group. These confounding factors may collectively influence self-reported kidney stone risk through mechanisms such as weight control and changes in urinary biochemistry (<xref ref-type="bibr" rid="ref24">24</xref>, <xref ref-type="bibr" rid="ref25">25</xref>). Given these baseline differences, caution is warranted in interpreting the results. To account for confounding, we constructed weighted multivariable logistic regression models that incorporated demographic factors, lifestyle variables, and comorbidities. Additionally, we employed PSM to balance covariates. The results from both approaches were highly consistent, suggesting that the negative association between PHDI and self-reported kidney stone risk remains independent even after controlling for confounding. In addition, subgroup analyses confirmed that the association between PHDI and self-reported kidney stones held across various characteristics, including age, gender, and ethnicity, suggesting that our results could be extrapolated to a broader US adult population. Besides, sensitivity analyses further consolidated the robustness of the results, with PHDI consistently linked with a diminished susceptibility to self-reported kidney stones.</p>
<p>Several studies have investigated the relationship between other dietary patterns and kidney stones. A large longitudinal study of three distinct cohorts by Rodriguez et al. (<xref ref-type="bibr" rid="ref26">26</xref>) concluded that following the Mediterranean diet diminished kidney stone prevalence. In the Seguimiento Universidad de Navarra (SUN) Cohort, individuals in the highest Mediterranean dietary pattern score group (7&#x2013;9 points) had a 36% reduced risk of kidney stones compared to those in the lowest group (0&#x2013;3 points) (<xref ref-type="bibr" rid="ref27">27</xref>). Similarly, the Dietary Approaches to Stop Hypertension (DASH) diet was found to curtail urinary calcium oxalate supersaturation by augmenting urine volume, pH, citrate and magnesium excretion, thereby lowering kidney stone risk (<xref ref-type="bibr" rid="ref28">28</xref>, <xref ref-type="bibr" rid="ref29">29</xref>). In the Health Professionals Follow-up Study, participants in the highest quintile of DASH scores had a 45% lower risk of kidney stones compared to those in the lowest quintile (<xref ref-type="bibr" rid="ref30">30</xref>). The Healthy Eating Index-2015 (HEI-2015) was also observed to prevent kidney stones, specifically, compared to the lowest quartile, the highest quartile of the HEI-2015 was associated with a roughly 30% reduction in kidney stone prevalence among US adults (<xref ref-type="bibr" rid="ref31">31</xref>). Like these plant-based diets, adopting PHDI was a preventative strategy for kidney stones. The highest quintile of PHDI was associated with a 25% reduction in self-reported kidney stone risk compared to the lowest quintile. However, most dietary patterns neglect their environmental consequences, whereas the PHDI offers substantial ecological benefits. The Earth&#x2019;s environment currently faces severe threats&#x2014;frequent extreme weather events driven by global warming, sea-level rise from glacial melt, rapid biodiversity loss, freshwater scarcity, and escalating pollution (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). Different diets exert varying environmental pressures: meat-based regimens demand extensive land and water resources and generate high greenhouse-gas emissions, thereby accelerating climate change, ecosystem degradation, and biodiversity decline (<xref ref-type="bibr" rid="ref34">34</xref>, <xref ref-type="bibr" rid="ref35">35</xref>). In contrast, the PHDI emphasizes plant-based foods and limits red meat and processed items, reducing greenhouse gas emissions and conserving land and water, which alleviates environmental stress and supports ecosystem preservation (<xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref37">37</xref>). Given these considerations, the PHDI not only mitigates present environmental challenges but also promotes sustainable development. Beyond reducing kidney stone risk, previous studies have shown that PHDI was associated with numerous health benefits, including improved cardiovascular health (<xref ref-type="bibr" rid="ref14">14</xref>), reduced mortality (<xref ref-type="bibr" rid="ref38">38</xref>), and lower type 2 diabetes risk (<xref ref-type="bibr" rid="ref39">39</xref>). For individuals at high risk of kidney stones, adopting PHDI not only provides targeted prevention but also offers extra cardiovascular and metabolic benefits. Additionally, this dietary pattern supports environmental sustainability, making it highly relevant for both clinical disease prevention and public health.</p>
<p>Analysis of PHDI components revealed that increased intakes of whole grains, non-starchy vegetables, and whole fruits, along with decreased intakes of added sugars, were significantly related to a reduced risk of self-reported kidney stones in the fully adjusted model, which aligns with PHDI recommendations. Shan et al. (<xref ref-type="bibr" rid="ref40">40</xref>) revealed that higher whole grain consumption reduced the risk of hospitalized kidney stones. This may be partly attributed to the high phytate content in whole grain bran, which boosts urinary phytate excretion and inhibits calcium oxalate crystal formation (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Besides, whole grains are a key source of dietary potassium, which increases urinary citrate excretion, a major inhibitor of kidney stones (<xref ref-type="bibr" rid="ref43">43</xref>). Similarly, vegetables and fruits can also increase urinary citrate, which both inhibits calcium crystal formation and prevents the aggregation of existing calcium oxalate crystals (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref45">45</xref>). They may also reduce stone formation by increasing urine volume, urinary pH, and the excretion of potassium and magnesium (<xref ref-type="bibr" rid="ref46">46</xref>). As for added sugar, a study grounded in NHANES data found that a heightened proportion of energy intake derived from added sugar corresponded to an elevated prevalence of kidney stones (<xref ref-type="bibr" rid="ref47">47</xref>), while another study similarly linked added sugar intake to a high kidney stone risk (<xref ref-type="bibr" rid="ref48">48</xref>). Fructose, which is one type of added sugar, may lead to stone formation by altering urinary pH, affecting uric acid metabolism, decreasing urinary citrate excretion, increasing urinary oxalate levels, and reducing urinary magnesium excretion (<xref ref-type="bibr" rid="ref49">49</xref>, <xref ref-type="bibr" rid="ref50">50</xref>).</p>
<p>Interestingly, the PHDI recommends a dairy intake of no more than 250&#x202F;g/d, yet our study found a beneficial impact of increased dairy intake on self-reported kidney stone prevention. This aligned with a prospective cohort study on Mediterranean diets, which also found that increased dairy intake reduced kidney stone prevalence (<xref ref-type="bibr" rid="ref27">27</xref>). Moreover, Ferraro et al. (<xref ref-type="bibr" rid="ref51">51</xref>) demonstrated that the correlation between protein and kidney stones varied by protein type, with dairy protein inversely related to kidney stone risk in the Nurses&#x2019; Health Study II. Their study also indicated that dairy protein reduced urinary concentrations of oxalate and uric acid and concurrently stimulated urinary citrate excretion (<xref ref-type="bibr" rid="ref51">51</xref>). In addition, certain fatty acids in dairy products can contribute to the suppression of kidney stones, for instance, polyunsaturated fatty acids may protect against the deposition of calcium oxalate stones (<xref ref-type="bibr" rid="ref52">52</xref>) and mitigate renal tubular damage induced by kidney stones (<xref ref-type="bibr" rid="ref53">53</xref>).</p>
<p>Consistent with our findings, Frank et al. (<xref ref-type="bibr" rid="ref54">54</xref>) discovered that one standard deviation augmentation in PHDI raised HDL-C by 1.9&#x202F;mg/dL, based on data from the NHANES database. Analogous results were observed by Morcel et al. (<xref ref-type="bibr" rid="ref21">21</xref>), who reported a positive association between PHDI and HDL-C in European adolescents. The mechanism behind PHDI-induced HDL-C elevation remains unclear, but one possible explanation is that plant-based PHDI increases dietary fiber intake, which is fermented by intestinal bacteria to produce short-chain fatty acids. These short-chain fatty acids can activate peroxisome proliferator-activated receptor-&#x03B3; (<xref ref-type="bibr" rid="ref55">55</xref>), which upregulates the expression of the ABCA1 gene, leading to an increase in ABCA1 protein that facilitates the transport of intracellular cholesterol into HDL (<xref ref-type="bibr" rid="ref56">56</xref>, <xref ref-type="bibr" rid="ref57">57</xref>), thereby resulting in elevated HDL-C levels. However, two studies in Brazilian populations found no association between PHDI and HDL-C (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref59">59</xref>), possibly due to differences in sample sizes, study populations, or PHDI calculation methods. The method used in this study to calculate PHDI has been validated in prior research (<xref ref-type="bibr" rid="ref10">10</xref>&#x2013;<xref ref-type="bibr" rid="ref12">12</xref>).</p>
<p>Additionally, our study identified a negative correlation between HDL-C and self-reported kidney stones, consistent with previous research (<xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref60">60</xref>, <xref ref-type="bibr" rid="ref61">61</xref>). Although the precise pathway by which HDL-C modulates kidney stone formation remains undefined, elucidating this mechanism warrants further investigation. We believe that the possible mechanism is as follows: Calcium oxalate stones, the most prevalent form, are closely linked to Randall&#x2019;s plaque, which are calcium phosphate deposits in the renal papillae interstitium (<xref ref-type="bibr" rid="ref62">62</xref>). These plaques provide a surface for the accumulation of calcium oxalate crystals, facilitating stone attachment (<xref ref-type="bibr" rid="ref8">8</xref>, <xref ref-type="bibr" rid="ref62">62</xref>). This process was thought to be influenced by oxidative stress and inflammation (<xref ref-type="bibr" rid="ref63">63</xref>). Moreover, HDL-C was found to reduce oxidative stress by promoting nitric oxide production and inhibiting reactive oxygen species production (<xref ref-type="bibr" rid="ref64">64</xref>). It was also found to be associated with lowered levels of inflammatory markers, encompassing C-reactive protein and tumor necrosis factor-&#x03B1; (<xref ref-type="bibr" rid="ref65">65</xref>). Thus, HDL-C may decrease Randall&#x2019;s plaque formation and calcium salt deposition by diminishing oxidative stress and inflammation, thereby lowering kidney stone risk. This study is the first to demonstrate that HDL-C may mediate the relationship between PHDI and self-reported kidney stone formation, thereby filling a critical gap in the literature and providing novel evidence for the &#x201C;PHDI &#x2013; HDL-C &#x2013; kidney stone&#x201D; pathway. Mediation analysis suggests HDL-C may partially mediate the relationship between PHDI and self-reported kidney stone risk; however, this association does not imply a direct causal link. One possible explanation is that elevated HDL-C levels could reflect a healthy dietary pattern (e.g., higher fiber intake and increased consumption of fruits and vegetables) rather than serve as a causal factor. Previous studies have shown that such dietary patterns can reduce kidney stone risk through mechanisms like increased urine volume, citrate and magnesium excretion, reduced dietary acid load, and decreased oxidative stress (<xref ref-type="bibr" rid="ref66">66</xref>), some of which may operate independently of HDL-C. Thus, future research should employ more detailed dietary assessments and randomized controlled trials to further clarify the causal role of HDL-C in this pathway. Besides, given the observational design of this study, caution is warranted in interpreting the mediating effects of the mediator.</p>
<p>In addition to the HDL-C pathway, our study found that individuals with higher PHDI scores tended to have lower BMI and better blood pressure control, suggesting other potential mechanisms through which PHDI may reduce kidney stone risk. PHDI supports weight management by optimizing dietary composition (<xref ref-type="bibr" rid="ref67">67</xref>), and lower BMI has been associated with reduced urinary oxalate concentration, thereby decreasing kidney stone risk (<xref ref-type="bibr" rid="ref68">68</xref>). Furthermore, PHDI improves vascular function and endothelial health by reducing sodium intake and increasing potassium and fiber consumption, which helps lower hypertension prevalence (<xref ref-type="bibr" rid="ref69">69</xref>). Hypertension alters urinary composition, promoting calcium reabsorption and elevating urinary calcium levels, thus increasing stone risk (<xref ref-type="bibr" rid="ref70">70</xref>). Therefore, PHDI may indirectly influence urinary composition by improving weight and blood pressure, thereby reducing kidney stone risk. These mechanisms provide a theoretical framework for understanding the link between PHDI and kidney stones, though further research is needed to explore additional pathways.</p>
<p>However, this study is subject to some limitations. First, PHDI is based on short-term intake data from 24-h dietary recalls, which may not fully capture long-term dietary patterns and are subject to measurement error. Although dietary questionnaires are susceptible to recall bias, the use of repeated 24-h recalls improves the reliability of the dietary assessment. Second, kidney stone outcomes are self-reported, which may be subject to underreporting or misreporting, potentially leading to biases. For example, undiagnosed asymptomatic cases may be underreported, resulting in an underestimation of prevalence. Moreover, the precise timing of self-reported kidney stone diagnosis is unclear, and variations exist among patients diagnosed at different times. For example, a patient diagnosed 20 years ago and stone-free since may differ from one with recurrent stones in the past 3 years. Third, it is incapable of establishing causality between PHDI and self-reported kidney stones because of the cross-sectional design. Fourth, this study is based on US population data, and the relationship between PHDI and kidney stones may differ in other countries or dietary contexts. Therefore, conclusions should be extended with caution, and further research is needed to confirm this association in diverse populations. Fifth, the NHANES database is deficient in available data concerning the composition of kidney stones, warranting future research to explore whether the link between PHDI and kidney stones is influenced by stone composition and the underlying mechanisms. Notwithstanding the aforementioned limitations, our study was innovative in its identification of a negative correlation between PHDI and self-reported kidney stones, with HDL-C functioning as a mediator, which is crucial for both kidney stone prevention and planetary sustainability.</p>
</sec>
<sec sec-type="conclusions" id="sec21">
<label>5</label>
<title>Conclusion</title>
<p>This large cross-sectional NHANES study ascertained that adhering to the PHDI was related to a reduced vulnerability to self-reported kidney stones, with HDL-C partially mediating this negative relationship. Promoting PHDI is of pivotal importance for both kidney stone prevention and environmental sustainability.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec22">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found: <ext-link xlink:href="https://www.cdc.gov/nchs/nhanes" ext-link-type="uri">https://www.cdc.gov/nchs/nhanes</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec23">
<title>Ethics statement</title>
<p>The studies involving humans were approved by National Center for Health Statistics Research Ethics Review Board. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec24">
<title>Author contributions</title>
<p>QLY: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. HC: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. NL: Methodology, Validation, Visualization, Writing &#x2013; review &#x0026; editing. HL: Data curation, Software, Writing &#x2013; review &#x0026; editing. HT: Formal analysis, Writing &#x2013; review &#x0026; editing. JH: Methodology, Writing &#x2013; review &#x0026; editing. XZ: Writing &#x2013; review &#x0026; editing. WL: Writing &#x2013; review &#x0026; editing. GH: Writing &#x2013; review &#x0026; editing. YL: Writing &#x2013; review &#x0026; editing. ZL: Writing &#x2013; review &#x0026; editing. XS: Supervision, Writing &#x2013; review &#x0026; editing. QTY: Funding acquisition, Writing &#x2013; review &#x0026; editing.</p>
</sec>

<ack><title>Acknowledgments</title>
<p>The authors acknowledge with the deepest respect the invaluable opportunity, guidance, and support provided by Shantou University Medical College and their colleagues.</p>
</ack>
<sec sec-type="COI-statement" id="sec26">
<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="sec27">
<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="sec28">
<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="sec29">
<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.2025.1609626/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fnut.2025.1609626/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"/>
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</ref-list><fn-group><fn id="fn0001" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1594932/overview">Paraskevi Detopoulou</ext-link>, University of Peloponnese, Greece</p></fn>
<fn id="fn0002" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1483440/overview">Ziye Huang</ext-link>, The Second Affiliated Hospital of Kunming Medical University, China; <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2286136/overview">Hao Du</ext-link>, Yale University, United States</p></fn></fn-group></back>
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