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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1612347</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Is vigorous physical activity effective for preventing kidney stones?</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Wang</surname> <given-names>Yuanfu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Wei</surname> <given-names>Qing</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>&#x02020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Dai</surname> <given-names>Yue</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chen</surname> <given-names>Sisi</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Cheng</surname> <given-names>Bo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/3037114/overview"/>
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<aff id="aff1"><sup>1</sup><institution>Department of Urology, The Affiliated Hospital of Southwest Medical University, Southwest Medical University, Luzhou</institution>, <addr-line>Sichuan</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Southwest Medical University, Luzhou</institution>, <addr-line>Sichuan</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Terry Huang, City University of New York, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Piergiorgio Messa, University of Milan, Italy</p>
<p>Guangyuan Zhang, Southeast University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Bo Cheng <email>cb1949&#x00040;swmu.edu.cn</email></corresp>
<fn fn-type="equal" id="fn001"><p>&#x02020;These authors have contributed equally to this work</p></fn></author-notes>
<pub-date pub-type="epub">
<day>19</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1612347</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2025 Wang, Wei, Dai, Chen and Cheng.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Wang, Wei, Dai, Chen and Cheng</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>
<title>Background</title>
<p>With a high rate of occurrence and recurrence, kidney stones represent a common urological issue that poses a substantial burden on public health infrastructures globally. While prior research has linked poor diet and lifestyle to a heightened susceptibility to kidney stones, the impact of daily vigorous physical activity (VPA) duration on kidney stone incidence remains under-investigated.</p></sec>
<sec>
<title>Materials and methods</title>
<p>Utilizing data from the NHANES database covering the years 2007 to 2020, this study undertakes a large-scale cross-sectional analysis of adults with full records of daily VPA and kidney stone history. Daily VPA time was calculated by summing the VPA duration (in minutes) from typical work and recreational activities. To analyze the association between VPA time and kidney stone prevalence, logistic regression was used, with a focus on potential non-linear relationships. A piecewise linear model estimated threshold effects, accompanied by subgroup and interaction analyses.</p></sec>
<sec>
<title>Results</title>
<p>Of the 12,128 participants in this analysis, 1,021 (8.41%) had previously experienced kidney stones. Findings indicated a positive correlation between the duration of daily VPA and kidney stone prevalence. In the analysis of VPA time divided into quartiles, the highest quartile exhibited a 1.49-fold increase in kidney stone prevalence vs. the lowest quartile (OR = 1.49, 95% CI: 1.21&#x02013;1.83, <italic>P</italic> for trend &#x0003C; 0.001). A smoothing curve fit showed a significant non-linear relationship between VPA time and kidney stones prevalence (<italic>P</italic> for non-linearity = 0.0007). Piecewise linear regression indicated a VPA threshold of 240 min, after which kidney stone prevalence increased by 0.3% for each additional minute of daily VPA (OR = 1.003, 95% CI: 1.000&#x02013;1.006), up to 360 min, at which point the prevalence plateaued.</p></sec>
<sec>
<title>Conclusion</title>
<p>This study suggests that VPA is associated with an increased risk of kidney stones, as longer daily VPA duration corresponds to a higher prevalence of kidney stones. This increase in prevalence may be related to the higher urine specific gravity caused by prolonged VPA. To strengthen these findings, future prospective cohort studies are recommended.</p></sec>
</abstract>
<kwd-group>
<kwd>daily vigorous physical activity time</kwd>
<kwd>kidney stones</kwd>
<kwd>National Health and Nutrition Examination Survey (NHANES)</kwd>
<kwd>moisture</kwd>
<kwd>logistic regression</kwd>
</kwd-group>
<contract-num rid="cn001">82472894</contract-num>
<contract-num rid="cn002">2022YFS0636-C2</contract-num>
<contract-num rid="cn002">2024NSFSC0736</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">https://doi.org/10.13039/501100001809</named-content></contract-sponsor>
<contract-sponsor id="cn002">Sichuan Provincial Science and Technology Support Program<named-content content-type="fundref-id">https://doi.org/10.13039/100012542</named-content></contract-sponsor>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="1"/>
<ref-count count="43"/>
<page-count count="10"/>
<word-count count="6143"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Health and Nutrition</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Globally, kidney stones are a common urological issue, characterized by high rates of incidence and recurrence, which heavily impact public health systems in many nations (<xref ref-type="bibr" rid="B1">1</xref>). About 10% of men and 7% of women in the U.S. will encounter kidney stones over the course of their lifetime (<xref ref-type="bibr" rid="B2">2</xref>). In China, kidney stone prevalence is also rising, with rates of 7%&#x02212;9% observed in economically developed eastern regions (<xref ref-type="bibr" rid="B3">3</xref>). Although the direct mortality rate of kidney stones is low, severe complications such as urinary tract infections and kidney damage can be fatal (<xref ref-type="bibr" rid="B4">4</xref>). Furthermore, the recurrent nature of kidney stones imposes substantial medical costs, including diagnostics, surgical treatments, and long-term medication (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Evidence suggests that annual U.S. healthcare expenses for kidney stones top $2 billion, creating a notable strain on healthcare systems (<xref ref-type="bibr" rid="B7">7</xref>). As a result, a clear understanding of the causes and contributors to kidney stones is critical for preventing the disease.</p>
<p>Moderate exercise has a protective effect against kidney stones (<xref ref-type="bibr" rid="B8">8</xref>). However, since the physiological pathways triggered by VPA and moderate exercise are significantly different (<xref ref-type="bibr" rid="B9">9</xref>), the impact on kidney stones cannot be simply understood as the effect of exercise on stones. Vigorous physical activity (VPA) is typically defined as physical activity that significantly elevates heart and respiratory rates, often reaching 70%&#x02212;85% or more of maximum heart rate. VPA is widely endorsed for its various health benefits (<xref ref-type="bibr" rid="B10">10</xref>). Research shows that regular VPA can improve cardiovascular function, increase cardiac output, and enhance circulation, helping reduce the risks of heart disease, hypertension, and stroke (<xref ref-type="bibr" rid="B11">11</xref>). Additionally, VPA significantly boosts energy expenditure, promoting fat burning, which supports body fat reduction and healthy weight maintenance (<xref ref-type="bibr" rid="B12">12</xref>). VPA has also been associated with improved insulin sensitivity, reducing the risk of insulin resistance (<xref ref-type="bibr" rid="B13">13</xref>). VPA can further alleviate symptoms of depression and anxiety, enhancing mental health (<xref ref-type="bibr" rid="B14">14</xref>), VPA also contributes to enhancing muscle strength and bone health (<xref ref-type="bibr" rid="B15">15</xref>). Despite these benefits, VPA carries certain potential drawbacks and risks. For individuals lacking conditioning, VPA may cause significant increases in heart rate and blood pressure, potentially leading to arrhythmia or even sudden cardiac arrest (<xref ref-type="bibr" rid="B16">16</xref>). Overloading the body with VPA, without proper warm-up or recovery, may result in common injuries, such as muscle strains, sprains, and joint pain (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Although VPA helps reduce stress and anxiety, excessive VPA may increase psychological stress (<xref ref-type="bibr" rid="B19">19</xref>). Thus, it is important to understand how VPA affects specific diseases to better guide exercise recommendations.</p>
<p>A considerable amount of research has explored the link between physical activity and kidney stones. Many studies have indicated that physical activity may protect against kidney stones (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B20">20</xref>&#x02013;<xref ref-type="bibr" rid="B22">22</xref>), while a sedentary lifestyle has been identified as a risk factor (<xref ref-type="bibr" rid="B23">23</xref>). Given the dual effects of VPA, focusing solely on whether physical activity affects kidney stones may be insufficient. Previous studies have not directly investigated the possible influence of VPA on the formation of urinary stones. Considering this, the study aims to evaluate the relationship of daily VPA time to kidney stones prevalence in U.S. adults, with data from NHANES.</p>
</sec>
<sec sec-type="methods" id="s2">
<title>Methods</title>
<sec>
<title>Study population</title>
<p>This study sourced data from NHANES, a series of national surveys by the U.S. NCHS that aims to assess the health of U.S. citizens. NHANES employs a complex, multistage sampling approach (sampling counties, segments, households, and individuals), ensuring the U.S. population is well-represented. The NCHS Ethics Review Board approved NHANES, with informed consent obtained from all participants.</p>
<p>All study methods strictly adhered to relevant guidelines and regulations. For this specific study, we collected data from 66,148 participants across six consecutive NHANES cycles (2007&#x02013;2020.03). Specific exclusion criteria were applied: (1) participants lacking kidney stone outcome data (<italic>n</italic> = 27,819); (2) individuals missing moisture or VPA data (<italic>n</italic> = 25,827); and (3) pregnant participants (<italic>n</italic> = 375). After careful data screening, 12,128 participants were selected for further analysis, with the participant selection process illustrated in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig position="float" id="F1">
<label>Figure 1</label>
<caption><p>Flowchart depicting participant selection in the study. NHANES, National Health and Nutrition Examination Survey.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1612347-g0001.tif">
<alt-text>Flowchart detailing participant selection from NHANES 2007-2020.3, starting with 66,148 participants. Exclusions include missing kidney stones data (27,819), missing moisture data (4,658), pregnant individuals (375), and lack of vigorous physical activity data (21,169). Final analysis includes 12,128 participants.</alt-text>
</graphic>
</fig>
</sec>
<sec>
<title>Definition of kidney stones and VPA</title>
<p>The KIQ026 question in the Kidney Conditions-Urology survey was used to determine the presence of kidney stones in the questionnaire data. Those who affirmed having kidney stones by answering &#x0201C;yes&#x0201D; to the question, &#x0201C;Do you have kidney stones?&#x0201D; were defined as having a history of the condition.</p>
<p>In NHANES, participants answered a questionnaire on physical activity, based on the Global Physical Activity Questionnaire (GPAQ) (<xref ref-type="bibr" rid="B24">24</xref>), which recorded details about the type, frequency, and duration of their activities in the past 30 days. VPA was defined by responses to the Questionnaire, which collected data on the duration of vigorous physical activities lasting 10 min or more, including both work and recreational activities that elevate heart rate or breathing. METs (metabolic equivalents) were used to quantify energy expenditure, with 1 MET representing 3.5 ml O<sub>2</sub>&#x000B7;kg<sup>&#x02212;1</sup>&#x000B7;min<sup>&#x02212;1</sup>. Both vigorous work and recreational activities were assigned 8.0 METs, and the daily VPA time was determined by summing the durations of these activities.</p>
</sec>
<sec>
<title>Covariates</title>
<p>Based on previous literature and biological considerations, we included a wide range of covariates known to influence kidney stones&#x00027; outcomes. The covariates included gender, age, race/ethnicity, education level, poverty index ratio (PIR), and body mass index (BMI) hypertension, diabetes, smoking status, alcohol intake (yes/no), moisture, blood urea nitrogen, creatinine, uric acid, eGFR, total calcium, moderate physical activity time, and sedentary time. Participants were categorized by BMI: &#x0003C; 24 kg/m<sup>2</sup> as normal weight, 24&#x02013;28 kg/m<sup>2</sup> as overweight, and &#x02265;28 kg/m<sup>2</sup> as obese. Smoking status was obtained through household interviews and classified as &#x0201C;never,&#x0201D; &#x0201C;current,&#x0201D; &#x0201C;sometimes,&#x0201D; or &#x0201C;past.&#x0201D; The moisture refers to the sum of water consumed directly as drinking water and the water content in food and non-water beverages (<xref ref-type="bibr" rid="B25">25</xref>), calculated as the average of values from the first and second dietary interviews. The blood urea nitrogen, creatinine, uric acid, and total calcium levels are derived from the standard biochemical overview section of laboratory data. The estimated glomerular filtration rate (eGFR) is calculated using the following equation (<xref ref-type="bibr" rid="B26">26</xref>):
<disp-formula id="E1"><mml:math id="M1"><mml:mtable columnalign="left"><mml:mtr><mml:mtd><mml:mtext>eGFR</mml:mtext><mml:mo>=</mml:mo><mml:mn>141</mml:mn><mml:mo>&#x000D7;</mml:mo><mml:mtext>min</mml:mtext><mml:msup><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>Scr</mml:mtext><mml:mo>/</mml:mo><mml:mo>&#x003B1;</mml:mo><mml:mo>,</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mtext>&#x003B2;</mml:mtext></mml:mrow></mml:msup><mml:mo>&#x000D7;</mml:mo><mml:mtext>max</mml:mtext><mml:msup><mml:mrow><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>Scr</mml:mtext><mml:mo>/</mml:mo><mml:mo>&#x003B1;</mml:mo><mml:mo>,</mml:mo><mml:mn>1</mml:mn></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow></mml:mrow><mml:mrow><mml:mo>-</mml:mo><mml:mn>1</mml:mn><mml:mo>.</mml:mo><mml:mn>209</mml:mn></mml:mrow></mml:msup><mml:mo>&#x000D7;</mml:mo><mml:mn>0</mml:mn><mml:mo>.</mml:mo><mml:mn>99</mml:mn><mml:msup><mml:mrow><mml:mn>3</mml:mn></mml:mrow><mml:mrow><mml:mtext>age</mml:mtext></mml:mrow></mml:msup><mml:mo>&#x000D7;</mml:mo><mml:mi>&#x003B3;</mml:mi></mml:mtd></mml:mtr><mml:mtr><mml:mtd><mml:mo>&#x000A0;</mml:mo><mml:mo>&#x02001;</mml:mo><mml:mo>&#x000D7;</mml:mo><mml:mn>1</mml:mn><mml:mo>.</mml:mo><mml:mn>159</mml:mn><mml:mrow><mml:mo stretchy="false">(</mml:mo><mml:mrow><mml:mtext>if&#x000A0;black</mml:mtext></mml:mrow><mml:mo stretchy="false">)</mml:mo></mml:mrow><mml:mo>.</mml:mo></mml:mtd></mml:mtr></mml:mtable></mml:math></disp-formula></p>
<p>Where:
<list list-type="bullet">
<list-item><p>For males: &#x003B1; = 0.9, &#x003B2; = &#x02212;0.411, &#x003B3; = 1</p></list-item>
<list-item><p>For females: &#x003B1; = 0.7, &#x003B2; = &#x02212;0.329, &#x003B3; = 1.018</p></list-item>
</list></p>
<p>Moderate physical activity time equaled the sum of moderate work time, moderate recreational activity time, and walking or cycling time. Detailed measurements of these variables can be found at <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/nchs/nhanes/">www.cdc.gov/nchs/nhanes/</ext-link>.</p>
</sec>
<sec>
<title>Statistical analysis</title>
<p>Statistical analyses were carried out in accordance with CDC guidelines, applying NHANES sampling weights and considering complex, multistage cluster design. Continuous variables were reported as means with standard deviations (SD), and categorical variables as proportions. Weighted <italic>t</italic>-tests and chi-square tests were used to evaluate differences between participants with and without kidney stones. To evaluate how daily VPA time relates to kidney stone prevalence, we used multivariable logistic regression models (Models 1 and 2), to calculate odds ratios (ORs) and 95% confidence intervals (CIs). In Model 1, adjustments were made for gender, age, and ethnicity. Model 2 was adjusted for gender, age, ethnicity, education level, PIR, BMI, hypertension, diabetes, smoking, alcohol intake, moisture, blood urea nitrogen, creatinine, uric acid, eGFR, total calcium, moderate physical activity time, and sedentary time. The non-linear relationship between daily VPA time and kidney stone prevalence was also assessed using smooth curve fitting, and a two-segment linear regression model was applied to estimate the inflection point. Subgroup analyses were performed, with gender, age, BMI, hypertension, and diabetes treated as potential effect modifiers. Likelihood ratio tests were used to introduce and evaluate interaction terms to quantify heterogeneity. Missing values were imputed using the median for continuous variables or the mode for categorical variables. R (version 4.4.1) and Empower software (<ext-link ext-link-type="uri" xlink:href="http://www.empowerstats.com">www.empowerstats.com</ext-link>; X&#x00026;Y Solutions, Inc., Boston,) were applied to perform statistical analyses, we considered a <italic>P</italic>-value of less than 0.05 to be statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>Baseline characteristics of participants</title>
<p>A total of 12,128 participants were included in this study, of whom 1,021 (8.41%) had a history of kidney stones. After weighting, 67.52% of the included participants were male and 32.48% were female. <xref ref-type="table" rid="T1">Table 1</xref> displays the weighted distribution of covariates among individuals with and without kidney stone history. Age (<italic>P</italic> &#x0003C; 0.001), gender (<italic>P</italic> = 0.004), race/ethnicity (<italic>P</italic> &#x0003C; 0.001), smoking status (<italic>P</italic> &#x0003C; 0.001), hypertension (<italic>P</italic> &#x0003C; 0.001), diabetes (<italic>P</italic> &#x0003C; 0.001), BMI (<italic>P</italic> &#x0003C; 0.001), blood urea nitrogen (<italic>P</italic> &#x0003C; 0.001), creatinine (<italic>P</italic> = 0.001), uric acid (<italic>P</italic> = 0.042), eGFR (<italic>P</italic> &#x0003C; 0.001), total calcium (<italic>P</italic> = 0.002), and moderate physical activity (<italic>P</italic> = 0.0395) were all significantly associated with the presence of kidney stones. Kidney stone sufferers were typically older, male, non-Hispanic White, and had higher incidences of smoking, hypertension, diabetes, higher BMI, poor kidney function, and more time on moderate physical activity. However, kidney stone status was not significantly associated with education level, PIR, alcohol intake, moisture, or sedentary time (all <italic>P</italic> &#x0003E; 0.05). <xref ref-type="table" rid="T2">Table 2</xref> describes differences in exposure variables between participants with and without kidney stones; those with a history of kidney stones had a higher mean VPA time (166.42 &#x000B1; 147.60 min) than those without (147.23 &#x000B1; 139.00 min, <italic>P</italic> &#x0003C; 0.001). Quartile comparisons of VPA revealed that those who had kidney stones typically spent more time on daily VPA.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Baseline of weighted characteristics of participants with and without history of kidney stone: NHANES survey 2007&#x02013;2020.03.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Participants without kidney stone</bold></th>
<th valign="top" align="center"><bold>Participants with kidney stone</bold></th>
<th valign="top" align="center"><bold>Standardize diff</bold>.</th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>N</italic></td>
<td valign="top" align="center">11,107</td>
<td valign="top" align="center">1,021</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age (mean &#x000B1; SD)</td>
<td valign="top" align="center">41.29 &#x000B1; 14.90</td>
<td valign="top" align="center">48.55 &#x000B1; 14.63</td>
<td valign="top" align="center">0.51 (0.45, 0.58)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Sex</bold>, <italic><bold>n</bold></italic> <bold>(weighted %)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.09 (0.03, 0.16)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">6,882 60.61%)</td>
<td valign="top" align="center">679 (67.52%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">4,225 (39.39%)</td>
<td valign="top" align="center">342 (32.48%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Hypertension</bold>, <italic><bold>n</bold></italic> <bold>(weighted %)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.37 (0.30, 0.43)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">8,322 (78.22%)</td>
<td valign="top" align="center">591 (61.96%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">2,785 (21.78%)</td>
<td valign="top" align="center">430 (38.04%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Diabetes</bold>, <italic><bold>n</bold></italic> <bold>(weighted %)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.30 (0.23, 0.36)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="center">10,013 (93.38%)</td>
<td valign="top" align="center">813 (84.20%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">1,094 (6.62%)</td>
<td valign="top" align="center">208(15.80%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>BMI</bold>, <italic><bold>n</bold></italic> <bold>(weighted %)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.29 (0.23, 0.36)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x02264; 24</td>
<td valign="top" align="center">2,894 (27.96%)</td>
<td valign="top" align="center">161 (15.41%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;24, &#x02264; 28</td>
<td valign="top" align="center">3,100 (29.81%)</td>
<td valign="top" align="center">262 (27.37%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;28</td>
<td valign="top" align="center">5,060 (42.22%)</td>
<td valign="top" align="center">596 (57.22%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Moisture (gm)</bold>, <italic><bold>n</bold></italic> <bold>(weighted %)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.06 (-0.00, 0.13)</td>
<td valign="top" align="center">0.348</td>
</tr>
<tr>
<td valign="top" align="left"> &#x02264; 1,000</td>
<td valign="top" align="center">161 (0.99%)</td>
<td valign="top" align="center">12 (0.79%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;1,000, &#x02264; 3,000</td>
<td valign="top" align="center">6,053 (49.46%)</td>
<td valign="top" align="center">563 (50.16%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;3,000, &#x02264; 5,000</td>
<td valign="top" align="center">3,911 (39.33%)</td>
<td valign="top" align="center">371 (41.67%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x0003E;5,000</td>
<td valign="top" align="center">982 (10.21%)</td>
<td valign="top" align="center">75 (7.37%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Uric acid (mg/dL)</bold>, <italic><bold>n</bold></italic> <bold>(weighted %)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.09 (0.03, 0.16)</td>
<td valign="top" align="center">0.042</td>
</tr>
<tr>
<td valign="top" align="left">0.8&#x02013;4.5</td>
<td valign="top" align="center">2,746 (24.98%)</td>
<td valign="top" align="center">234 (22.17%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">4.6&#x02013;5.4</td>
<td valign="top" align="center">2,666 (24.95%)</td>
<td valign="top" align="center">235 (23.74%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">5.49&#x02013;6.2</td>
<td valign="top" align="center">2,789 (24.35%)</td>
<td valign="top" align="center">243 (25.04%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">6.3&#x02013;13.3</td>
<td valign="top" align="center">2,906 (25.73%)</td>
<td valign="top" align="center">309 (29.05%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>eGFR [mL/(min. 1.73 m</bold><sup>2</sup><bold>)]</bold>, <italic><bold>n</bold></italic> <bold>(weighted %)</bold></td>
<td/>
<td/>
<td valign="top" align="center">0.25 (0.18, 0.31)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">45.05&#x02013;83.56</td>
<td valign="top" align="center">2,674 (24.88%)</td>
<td valign="top" align="center">356 (35.54%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">83.57&#x02013;103.99</td>
<td valign="top" align="center">2,789 (27.45%)</td>
<td valign="top" align="center">245 (26.34%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">104&#x02013;120.35</td>
<td valign="top" align="center">2,815 (24.84%)</td>
<td valign="top" align="center">217 (21.72%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">120.36&#x02013;206.35</td>
<td valign="top" align="center">2,829 (22.83%)</td>
<td valign="top" align="center">203 (16.41%)</td>
<td/>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Quartile of vigorous physical activity between stones and non-stone group.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left" colspan="2"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold>Participants without kidney stone</bold></th>
<th valign="top" align="center"><bold>Participants with kidney stone</bold></th>
<th valign="top" align="center"><bold>Standardize diff</bold>.</th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2"><italic>N</italic> (%)</td>
<td valign="top" align="center">11,107 (91.58%)</td>
<td valign="top" align="center">1,021 (8.49%)</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="2">VPA (min, mean &#x0002B; SD)</td>
<td valign="top" align="center">147.23 &#x000B1; 139.00</td>
<td valign="top" align="center">166.42 &#x000B1; 147.60</td>
<td valign="top" align="center">0.13 (0.07, 0.20)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">VPA quartile (min)</td>
<td valign="top" align="center"><italic>N</italic> (%)</td>
<td valign="top" align="center"><italic>N</italic> (%)</td>
<td valign="top" align="center">0.15 (0.09, 0.22)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left">Q1</td>
<td valign="top" align="center">10&#x02013;55 (min)</td>
<td valign="top" align="center">2,726 (24.54%)</td>
<td valign="top" align="center">220 (21.55%)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Q2</td>
<td valign="top" align="center">60&#x02013;102 (min)</td>
<td valign="top" align="center">2,869 (25.83%)</td>
<td valign="top" align="center">232 (22.72%)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Q3</td>
<td valign="top" align="center">105&#x02013;230 (min)</td>
<td valign="top" align="center">2,765 (24.89%)</td>
<td valign="top" align="center">250 (24.49%)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr>
<tr>
<td valign="top" align="left">Q4</td>
<td valign="top" align="center">240&#x02013;480 (min)</td>
<td valign="top" align="center">2,747 (24.73%)</td>
<td valign="top" align="center">319 (31.24%)</td>
<td valign="top" align="center">&#x02013;</td>
<td valign="top" align="center">&#x02013;</td>
</tr></tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Logistic regression analysis and smooth curve fitting of kidney stone prevalence</title>
<p><xref ref-type="table" rid="T3">Table 3</xref> shows the association between VPA and kidney stone prevalence. Results indicate that an increase in daily VPA time corresponded with a higher prevalence of kidney stones. When daily VPA time was divided into quartiles, multivariable logistic analysis of the fully adjusted model indicated that VPA was a risk factor for kidney stones; compared to the lowest quartile, kidney stone prevalence increased as daily VPA time rose. Participants in the top quartile of VPA showed a kidney stone prevalence that was 1.49 times greater than those in the bottom quartile (OR = 1.49, 95% CI: 1.21&#x02013;1.83; <italic>P</italic> for trend &#x0003C; 0.001). To further clarify the association between daily VPA time and kidney stone prevalence, we used smooth curve fitting (<xref ref-type="fig" rid="F2">Figure 2</xref>). After excluding extreme values (daily VPA time &#x0003C; 5% and &#x0003E;95%), smooth curve fitting showed a significant non-linear trend between VPA and kidney stone prevalence (<italic>P</italic> for non-linear trend = 0.0007).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>OR (95 % CI) of prevalence rate of kidney stones by quartile of various physical activity.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center" colspan="4"><bold>Prevalence rate of kidney stones</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Model</bold></td>
<td valign="top" align="center" colspan="2"><bold>Adjust I</bold></td>
<td valign="top" align="center" colspan="2"><bold>Adjust II</bold></td>
</tr>
<tr>
<td valign="top" align="left"><bold>VPA (min)</bold></td>
<td valign="top" align="center"><bold>OR (95%CI)</bold></td>
<td valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></td>
<td valign="top" align="center"><bold>OR (95%CI)</bold></td>
<td valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></td>
</tr>
<tr>
<td valign="top" align="left">Q1</td>
<td valign="top" align="center">1.0</td>
<td/>
<td valign="top" align="center">1.0</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Q2</td>
<td valign="top" align="center">1.05 (0.86, 1.28)</td>
<td valign="top" align="center">0.624</td>
<td valign="top" align="center">1.11 (0.91, 1.36)</td>
<td valign="top" align="center">0.645</td>
</tr>
<tr>
<td valign="top" align="left">Q3</td>
<td valign="top" align="center">1.13 (0.93, 1.37)</td>
<td valign="top" align="center">0.218</td>
<td valign="top" align="center">1.16 (0.95, 1.43)</td>
<td valign="top" align="center">0.174</td>
</tr>
<tr>
<td valign="top" align="left">Q4</td>
<td valign="top" align="center">1.48 (1.22, 1.78)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
<td valign="top" align="center">1.49 (1.21, 1.83)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P</italic>-value for VPA group trend</td>
<td valign="top" align="center" colspan="2"><italic>p</italic> &#x0003C; 0.001</td>
<td valign="top" align="center" colspan="2"><italic>p</italic> &#x0003C; 0.001</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Results in the table: OR (95%CI) <italic>P</italic>-value.</p>
<p>Adjust I model adjust for: Age; Sex, Ethnicity. Adjust II model adjust for: Age; Sex; Ethnicity; Edu; PIR; Smoke; Alcohol drinking; Hypertension; Diabetes; BMI, Moisture intake., Moderate physical activity, Sedentary activity, blood urea nitrogen, creatinine, uric acid, eGFR and total calcium.</p>
</table-wrap-foot>
</table-wrap>
<fig position="float" id="F2">
<label>Figure 2</label>
<caption><p>The curve of the association between Vigorous physical activity and prevalence rate of kidney stones among study participants in fully adjusted model.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1612347-g0002.tif">
<alt-text>Graph showing the relationship between vigorous physical activity and the prevalence rate of kidney stones. The x-axis represents minutes of activity, ranging from 0 to 400. The y-axis shows the prevalence rate, ranging from 0.05 to 0.20. A red line indicates prevalence, with an upward trend after 200 minutes. Blue dashed lines represent confidence intervals.</alt-text>
</graphic>
</fig>
<p>As daily VPA time increased, kidney stone prevalence rose gradually until reaching a threshold where prevalence sharply increased. Using a two-segment linear regression model, we calculated a VPA threshold (K) of 240 min (<xref ref-type="table" rid="T4">Table 4</xref>). With increasing duration of daily vigorous physical activity (VPA), the prevalence of kidney stones gradually rises, followed by a sharp increase after reaching the threshold of 240 min. Before the threshold ( &#x02264; 240 min), VPA duration was not significantly associated with kidney stone prevalence (OR = 1.001, 95% CI: 1.000&#x02013;1.002); however, beyond this threshold, each additional minute of VPA was significantly associated with a higher prevalence (OR = 1.003, 95% CI: 1.000&#x02013;1.006), and this trend plateaued after approximately 360 min.</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Threshold effect analysis of the daily vigorous physical activity time and prevalence rate of kidney stones.</p></caption>
<table frame="box" rules="all">
<thead>
<tr>
<th valign="top" align="left"><bold>Outcome:</bold></th>
<th valign="top" align="center" colspan="2"><bold>Prevalence rate of kidney stones</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Model</bold></td>
<td valign="top" align="center"><bold>OR(95%CI)</bold></td>
<td valign="top" align="center"><italic><bold>P</bold></italic><bold>-value</bold></td>
</tr>
<tr>
<td valign="top" align="left">Fitting by standard linear model</td>
<td valign="top" align="center">1.002 (1.001, 1.002)</td>
<td valign="top" align="center">&#x0003C; 0.001</td>
</tr>
<tr>
<td valign="top" align="left" colspan="3"><bold>Fitting by two-piecewise linear model</bold></td>
</tr>
<tr>
<td valign="top" align="left">Breakpoint (K)</td>
<td valign="top" align="center">240</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">OR1 (VPA &#x0003C; 240)</td>
<td valign="top" align="center">1.001 (1.000, 1.002)</td>
<td valign="top" align="center">0.279</td>
</tr>
<tr>
<td valign="top" align="left">OR2 (VPA &#x0003E; 240)</td>
<td valign="top" align="center">1.003 (1.001, 1.006)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">OR2/OR1</td>
<td valign="top" align="center">1.003 (1.000, 1.006)</td>
<td valign="top" align="center">0.045</td>
</tr>
<tr>
<td valign="top" align="left">Logarithmic likelihood ratio test <italic>P</italic>-value</td>
<td valign="top" align="center">0.046</td>
<td/>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Adjust for: Age, Sex, Ethnicity, Edu, PIR; Smoke, Alcohol drinking, Hypertension, Diabetes, BMI, Moisture intake, Moderate physical activity, Sedentary activity, blood urea nitrogen, creatinine, uric acid, eGFR and total calcium.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>Subgroup analysis</title>
<p>We divided daily VPA time into two segments based on the inflection point, with the first segment as the reference group, to conduct subgroup analyses examining the stability of the relationship between daily VPA time and kidney stone prevalence across different population subgroups. As illustrated in <xref ref-type="fig" rid="F3">Figure 3</xref>, nearly all subgroup stratifications, including age, gender, BMI, alcohol intake, smoking, hypertension, blood urea nitrogen, creatinine, uric acid, eGFR, and total calcium, and diabetes status, did not significantly affect the positive correlation between daily VPA time and kidney stone prevalence. Interestingly, in the subgroup stratified by moisture, the significant positive correlation between daily VPA time and kidney stone prevalence disappeared (<italic>P</italic> &#x0003E; 0.05). Interaction tests showed that only age had a significant impact on the relationship between daily VPA time and kidney stone prevalence (<italic>P</italic> = 0.00421), this positive correlation was not significantly affected by gender, BMI, drinking, smoking, hypertension, diabetes, blood urea nitrogen, creatinine, uric acid, eGFR, total calcium, or moisture intake (all interaction terms, <italic>P</italic> &#x0003E; 0.05).</p>
<fig position="float" id="F3">
<label>Figure 3</label>
<caption><p>Subgroup analysis on the association of vigorous physical activity and the prevalence of kidney stones.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpubh-13-1612347-g0003.tif">
<alt-text>Forest plot showing odds ratios for various subgroups and health indicators, such as age, sex, BMI, smoking status, alcohol use, diabetes, hypertension, and biochemical markers. Red squares represent odds ratios with confidence intervals. The plot includes p-values for interactions. Each row corresponds to a different subgroup or range, providing insights into statistical significance and the degree of risk or association with a reference group.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this observational study, we observed a significant association between prolonged vigorous physical activity (VPA) duration and increased kidney stone prevalence after adjusting for confounders. Specifically, when daily VPA exceeded 240 min, each additional minute was linked to a 0.3% rise in prevalence, plateauing near 360 min. This pattern corresponded with increased urine specific gravity during extended VPA, suggesting dehydration may contribute to risk. These findings highlight the importance of targeted moisture strategies for high-exposure groups (e.g., athletes): clinicians should advise proactive moisture, before, during, and after prolonged VPA to mitigate urine concentration. Mechanistic confirmation requires further research: we propose longitudinal cohorts tracking VPA exposure against dynamic urine composition changes (calcium, citrate, pH), followed by randomized controlled trials (RCTs) testing moisture interventions on stone incidence in high-risk populations. While moisture remains, a practical precaution based on our data, definitive causal pathways warrant verification through these studies.</p>
<p>The association between physical activity and kidney stones has been a topic of much discussion. Liu et al., using data from the UK Biobank, found that physical activity was negatively associated with kidney stone disease (KSD) risk, irrespective of genetic predisposition (<xref ref-type="bibr" rid="B27">27</xref>). A non-linear relationship between physical activity and KSD was observed in The study by Feng et al. found that KSD prevalence decreased as physical activity rose, before leveling out at a certain threshold (<xref ref-type="bibr" rid="B20">20</xref>). Using NHANES data, Li et al. showed that in individuals who did not engage in vigorous recreational activity, increased sedentary time was associated with a higher prevalence of kidney stones (<xref ref-type="bibr" rid="B23">23</xref>). While some studies suggest physical activity protects against KSD, others have found no meaningful correlation. A cohort study of 215,133 participants observed no evident link between physical activity and KSD after accounting for various confounding factors (<xref ref-type="bibr" rid="B22">22</xref>). Similarly, Patrick et al.&#x00027;s systematic review, which included 17,511 patients, found inconclusive evidence on the relationship of physical activity to KSD (<xref ref-type="bibr" rid="B28">28</xref>). In contrast, our study found that prolonged VPA was not protective against kidney stone.</p>
<p>It was associated with an increased risk. Li et al.&#x00027;s research also suggested that after reaching a certain intensity and duration of exercise, kidney stone prevalence does not continue to decrease, consistent with our findings. Our study addresses a research gap by specifically examining the impact of vigorous physical activity on kidney stone prevalence.</p>
<p>In our study, vigorous activity appeared as a risk factor for kidney stones, likely due to multiple mechanisms. First, exercise-induced sweating and fluid loss may cause dehydration, leading to urine concentration and supersaturation of stone-forming substances, calcium oxalate and uric acid, for instance, may then deposit in the kidneys (<xref ref-type="bibr" rid="B29">29</xref>&#x02013;<xref ref-type="bibr" rid="B31">31</xref>). Additionally, electrolyte imbalances from sweat loss could disrupt calcium metabolism, raising calcium ion concentration in urine and increasing the risk of calcium oxalate stones (<xref ref-type="bibr" rid="B31">31</xref>). Acidic metabolic by-products that accumulate during intense exercise may further acidify urine, promote the deposition of uric acid and calcium oxalate and thereby increasing kidney stone risk (<xref ref-type="bibr" rid="B32">32</xref>). Furthermore, vigorous exercise accelerates metabolism, increasing uric acid production, especially under dehydrated conditions that favor urate crystal formation (<xref ref-type="bibr" rid="B30">30</xref>). Based on these observations, we hypothesized that VPA may lead to urine concentration, with stone-forming substances reaching supersaturation and depositing in the kidneys, thus elevating kidney stone risk. To explore this hypothesis, we analyzed the relationship between daily VPA time and urine specific gravity. As depicted in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table S1</xref> and <xref ref-type="supplementary-material" rid="SM2">Supplementary Figure S1</xref>, after adjusting for various confounders, we found that vigorous exercise was associated with an increase in urine specific gravity (&#x003B2; = 0.07, 95% CI from 0.002 to 0.12, <italic>P</italic> = 0.00495), especially when VPA time exceeded 170 min, aligning with the K-value calculated using a two-segment linear regression model. Notably, when daily VPA time exceeded 360 min, the prevalence of kidney stones no longer increased, investigating the underlying mechanisms may be valuable. In the initial stages of exercise, sweating induces dehydration, electrolyte loss, elevated uric acid levels, and urine acidification, all of which collectively elevate the risk of kidney stone formation; however, as exercise continues (e.g., reaching 360 min), the body initiates a series of adaptive responses to mitigate this risk. These include: (1) activation of AMPK to inhibit xanthine oxidase activity, thereby reducing uric acid production; (2) enhanced activity of antioxidant enzymes such as superoxide dismutase (SOD) (<xref ref-type="bibr" rid="B33">33</xref>) and glutathione peroxidase (GPx), alleviating renal tubular damage; (3) restoration of urine dilution through rehydration and the antidiuretic hormone (ADH) escape mechanism; and (4) increased urinary citrate excretion, promoting calcium chelation and inhibiting crystal formation (<xref ref-type="bibr" rid="B34">34</xref>). Together, these mechanisms facilitate rehydration, restore electrolyte balance, regulate uric acid metabolism, and enhance acid-base buffering, ultimately enabling the body to progressively reduce the likelihood of kidney stone formation during prolonged exercise (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>There are several strengths in our study. First, it is based on NHANES data, which is a nationally representative dataset obtained through standardized protocols. We performed all analyses using appropriate NHANES sampling weights, ensuring our findings reflect the broader population. We also controlled for a variety of confounding factors to ensure the robustness of our conclusions, and the large sample size allowed for detailed subgroup analyses. Moreover, based on available information, this study assesses the effect of daily VPA on kidney stone risk, clearly defining the type of exercise. Our results offer valuable insights for those in physically demanding occupations or recreational activities, with implications for kidney stone management. Despite the insights provided by this study, there are limitations. Primarily, because it is based on the NHANES database, we cannot establish causality for daily VPA time and kidney stone prevalence. Additionally, as NHANES data represents only the U.S. population, the generalizability of our findings may be limited. The self-reported nature of both the exposure and outcome variables introduces potential for recall and self-report biases, which could lead to the omission of asymptomatic kidney stone cases. We acknowledge the absence of important confounders [e.g., diet (<xref ref-type="bibr" rid="B36">36</xref>), dietary supplement intake (<xref ref-type="bibr" rid="B37">37</xref>), oxalate intake, genetics (<xref ref-type="bibr" rid="B38">38</xref>), occupation (<xref ref-type="bibr" rid="B39">39</xref>), climate (<xref ref-type="bibr" rid="B40">40</xref>)] due to data limitations. Reverse causality is also a possibility. These are now explicitly listed as limitations, and we propose future cohort studies and Mendelian randomization to further clarify causal relationships. Additionally, variations in moisture reporting between participants with and without kidney stones could introduce reporting bias. Specifically, those with a history of kidney stones may report higher moisture, which may account for the lack of a significant positive correlation between daily VPA time and kidney stone prevalence in our subgroup analysis of moisture. Although VPA itself can lead to short-term dehydration, which is a known theoretical risk factor for kidney stone formation, in real-world settings&#x02014;particularly when individuals maintain adequate fluid regulation&#x02014;the net effect of VPA on kidney stone risk tends to be neutral or even beneficial. This is primarily because sufficient water intake plays a decisive role in urine dilution, effectively mitigating the concentration of urine caused by intense physical activity (<xref ref-type="bibr" rid="B41">41</xref>). In populations with low or no fluid intake, the duration of VPA may be limited (since prolonged exercise without hydration can lead to severe consequences), and previous findings suggest that short-term vigorous activities&#x02014;such as swimming&#x02014;may even have protective effects (<xref ref-type="bibr" rid="B42">42</xref>). While it is true that VPA can lead to dehydration, the key factor is the individual&#x00027;s hydration habits during and after exercise. If exercisers&#x02014;especially those who engage in regular, health-conscious physical activity&#x02014;actively replenish fluids during and after workouts, they can effectively reverse the temporary urine concentration caused by exercise. Overall, adequate total moisture intake is one of the most effective strategies for preventing kidney stones (<xref ref-type="bibr" rid="B43">43</xref>).</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>Our analysis demonstrates that, in this observational study, longer durations of VPA are linked to a higher prevalence of kidney stones after accounting for potential confounders. Specifically, we observed that kidney stone prevalence increased with rising daily VPA time. When daily VPA time exceeded 240 min, each additional minute of VPA was associated with a 0.3% increase in kidney stone prevalence, reaching a plateau around 360 min. This observed association may be related to the concurrent increase in urine specific gravity seen with prolonged VPA. Given these findings, maintaining adequate moisture during periods of VPA could be a prudent practical measure.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: <ext-link ext-link-type="uri" xlink:href="https://wwwn.cdc.gov/Nchs/Nhanes/search/default.aspx">https://wwwn.cdc.gov/Nchs/Nhanes/search/default.aspx</ext-link>.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by National Health and Nutrition Examination Survey (NHANES). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x00027; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>YW: Methodology, Writing &#x02013; original draft, Software, Investigation. QW: Investigation, Software, Writing &#x02013; original draft, Methodology. YD: Data curation, Validation, Writing &#x02013; review &#x00026; editing, Methodology. SC: Validation, Writing &#x02013; review &#x00026; editing, Data curation, Methodology. BC: Conceptualization, Writing &#x02013; review &#x00026; editing, Supervision, Methodology, Funding acquisition, Visualization.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This work was supported by General Program of the National Natural Science Foundation of China (82472894), Sichuan Science and Technology Program (2024NSFSC0736), and Sichuan Science and Technology Program (2022YFS0636-C2).</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 id="s10">
<title>Generative AI statement</title>
<p>The author(s) 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="s11">
<title>Publisher&#x00027;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="s12">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1612347/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1612347/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"/>
<supplementary-material xlink:href="Image_1.tif" id="SM2" mimetype="image/tif" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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