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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
<issn pub-type="epub">1664-2392</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2025.1610140</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Endocrinology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Triglyceride-glucose index and overactive bladder syndrome: evidence from the NHANES 2005-2018</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Baitong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3033206/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Jiongming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Yueting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chen</surname>
<given-names>Nanhui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1057211/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>The First School of Clinical Medicine, Guangdong Medical University</institution>, <addr-line>Zhanjiang</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Meizhou School of Clinical Medicine, Guangdong Medical University(Meizhou People&#x2019;s Hospital)</institution>, <addr-line>Meizhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Urology, Meizhou People&#x2019;s Hospital (Meizhou Academy of Medical Sciences)</institution>, <addr-line>Meizhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Minghui Li, University of Tennessee Health Science Center (UTHSC), United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Chonin Cheang, Macau Society for Health Economics, Macao SAR, China</p>
<p>Taufiq Nur Budaya, University of Brawijaya, Indonesia</p>
<p>Marcia Ver&#xf3;nica Galv&#xe1;n Portillo, National Institute of Public Health, Mexico</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Nanhui Chen, <email xlink:href="mailto:Chennanhuiht@163.com">Chennanhuiht@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>06</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1610140</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>04</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Chen, Wang, Huang and Chen</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chen, Wang, Huang and Chen</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>Introduction</title>
<p>The relationship between the triglyceride-glucose index (TyG) and overactive bladder (OAB) is unclear. The aim of this study was to investigate the possible association between the TyG index and OAB.</p>
</sec>
<sec>
<title>Methods</title>
<p>National Health and Nutrition Examination Survey (NHANES) data from 2005&#x2013;2018 were used. The association between TyG index and OAB was assessed using univariate and multivariate logistic regression models. In addition, restricted cubic spline curves were used to examine the dose-response relationship between TyG index and OAB risk. Subgroup analyses and interaction analyses were then performed to assess differences in associations between subgroups.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 14,059 participants with 3325 patients with OAB were included. In the fully adjusted model, each unit increase in the TyG index was associated with a 1.18-fold increased risk of OAB (OR = 1.18; 95% CI: 1.11-1.26; p &lt; 0.001) and a 1.32-fold increased risk of OAB for Q4 compared to Q1 at the quartile level (OR = 1.32, 95% CI: 1.17- 1.50, p &lt; 0.001), RCS analysis showed a positive linear association between TyG index and OAB, and subgroup analysis showed that the association between TyG and OAB was more pronounced in individuals younger than 60 years and in women (p for interaction &lt; 0.05).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The results of this study suggest that TyG index is positively associated with OAB, and this association was more pronounced in younger age groups and in females.TyG index, as a simple and cost-effective metabolic marker, may provide a potential tool for early screening of OAB, especially in individuals with metabolic abnormalities that have not progressed to significant metabolic diseases.</p>
</sec>
</abstract>
<kwd-group>
<kwd>overactive bladder syndrome</kwd>
<kwd>OAB</kwd>
<kwd>TyG index</kwd>
<kwd>cross-sectional study</kwd>
<kwd>risk assessment</kwd>
<kwd>NHANES</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="24"/>
<page-count count="9"/>
<word-count count="3325"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Renal Endocrinology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Background</title>
<p>Overactive Bladder (OAB) is defined by the International Continence Society as a chronic condition with urinary urgency as the main symptom, accompanied by urinary frequency, nocturia and urge incontinence (UUI), excluding clear pathological changes such as urinary tract infection. Epidemiological data show that the prevalence of OAB has been increasing over the past 20 years, with a global prevalence of OAB ranging from approximately 10.7% to 23.9%, and that its incidence increases significantly with age, especially in women over 44 years of age and men over 64 years of age (<xref ref-type="bibr" rid="B1">1</xref>). As a urological condition that severely affects quality of life (<xref ref-type="bibr" rid="B2">2</xref>), the medical costs of patients with OAB are more than two and a half times higher than those of patients without the condition (<xref ref-type="bibr" rid="B3">3</xref>), resulting in a significant burden on their families and social services. As a disease that seriously affects quality of life, the medical costs of OAB patients are more than 2.5 times higher than those of non-OAB patients, placing a heavy burden on their families and social welfare, and has become a major public health problem (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>The etiology of OAB is thought to be multifactorial, involving neurogenic, myogenic, uroepithelial, or a combination of factors (<xref ref-type="bibr" rid="B5">5</xref>). Despite extensive research, the exact pathogenesis of OAB remains poorly understood, and it is possible that chronic inflammation (<xref ref-type="bibr" rid="B6">6</xref>) and elevated levels of oxidative stress may play a role in its development (<xref ref-type="bibr" rid="B7">7</xref>). Previous studies have shown that components of the metabolic syndrome (MetS), such as obesity, as well as diabetes mellitus, are associated with higher levels of inflammation and oxidative stress and are strongly correlated with OAB (<xref ref-type="bibr" rid="B8">8</xref>). IR may cause autonomic dysfunction, suggesting that insulin resistance (IR) may play a key role. IR may cause autonomic dysfunction and may be associated with OAB. Previous studies have shown that components of the metabolic syndrome (MetS), such as obesity and diabetes mellitus, have higher levels of inflammation and oxidative stress and are strongly correlated with OAB, suggesting that insulin resistance (IR) may play a key role. IR may cause autonomic dysfunction, thereby increasing bladder sympathetic tone, and hyperinsulinemia may directly stimulate urethral myocyte proliferation, which together contribute to the development of OAB (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Plasma insulin is the main indicator for assessing IR, and insulin levels are affected by a variety of factors, such as diet, exercise, and sleep (<xref ref-type="bibr" rid="B10">10</xref>), leading to greater fluctuations in test results, as well as disadvantages such as its high cost of testing and susceptibility to drug interference, and the results measured may not accurately reflect the patient&#x2019;s IR level (<xref ref-type="bibr" rid="B11">11</xref>). The triglyceride-glucose index (TyG index) reflects the metabolic triglyceride and glucose metabolism, and these changes are closely related to IR, which is another new index used to assess IR in recent years. In comparison with the HOMA-IR model, the TyG index is more sensitive for the prediction and diagnosis of disease in the assessment of homeostatic models of IR and is more convenient and accessible in clinical practice (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). Previous studies have shown that an elevated TyG index is strongly associated with a variety of conditions including asthma (<xref ref-type="bibr" rid="B14">14</xref>), kidney stones (<xref ref-type="bibr" rid="B15">15</xref>) and erectile dysfunction (<xref ref-type="bibr" rid="B16">16</xref>) and has demonstrated predictive value for cardiovascular events, atherosclerosis and chronic kidney disease in several large cohort studies (<xref ref-type="bibr" rid="B17">17</xref>).Although the association of TyG index with metabolic diseases has been confirmed by extensive studies, there is a gap in direct research on its association with OAB. Based on the above evidence, we explored the association between TyG index and OAB using data from the 2005&#x2013;2018 U.S. National Health and Nutrition Examination Survey (NHANES), and we hypothesized that a higher TyG index is associated with an increased likelihood of OAB.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Participant inclusion</title>
<p>NHANES is conducted by the National Center for Health Statistics and is a continuous, stratified, multistage sample survey. It integrates structured interviews and physical examinations to provide a comprehensive assessment of the health and nutritional status of groups of adults and children in the United States. Sampling strategies and detailed information used in this study were obtained from the NHANES website. All NHANES data are publicly available at <ext-link ext-link-type="uri" xlink:href="https://www.cdc.gov/nchs/nhanes/">https://www.cdc.gov/nchs/nhanes/</ext-link> and written consent for the study was obtained from all participants.</p>
<p>In this cross-sectional study, we used data from seven consecutive NHANES cycles from 2005 to 2018. A total of 70,190 participants were included in these seven cycles. We excluded participants with missing data on the TyG index (n = 48981), participants with incomplete data on OAB-related questionnaires (n = 5502), and participants lacking information on covariates (n = 1648). Ultimately, this study identified 14,059 participants who met the inclusion criteria (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of Participant Selection form NHANES Data (2005-2018).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1610140-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>OAB diagnostic criteria and TyG index</title>
<p>Overactive Bladder Syndrome (OAB) is defined as an overactive voiding reflex that manifests itself in urge urinary incontinence (UUI) and nocturnal urinary frequency. We quantified overactive bladder syndrome using the Overactive Bladder Symptom Score (OABSS) questionnaire, and the diagnostic criteria for OAB were based on existing reports in the literature (<xref ref-type="bibr" rid="B18">18</xref>). The data collected here were obtained from questionnaires filled out by trained researchers during face-to-face interviews, and participants with a total score of 3 or higher were diagnosed with OAB. The NHANES questionnaire data and the OABSS score of symptoms were compared with the OABSS score. Frequency conversion criteria are shown in (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) as in previous studies (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B19">19</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Conversion standards for symptom frequency recorded in the NHANES database and OABSS scores.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Based on NHANES Scores</th>
<th valign="top" align="left">Based on OABSS Scores</th>
</tr>
<tr>
<th valign="top" align="left">Frequency of Urgency <break/>Incontinence</th>
<th valign="top" align="left">Urgency Incontinence <break/>Score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Never</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Less than once a month</td>
<td valign="top" align="left">1</td>
</tr>
<tr>
<td valign="top" align="left">Several times a month</td>
<td valign="top" align="left">1</td>
</tr>
<tr>
<td valign="top" align="left">Several times a week</td>
<td valign="top" align="left">2</td>
</tr>
<tr>
<td valign="top" align="left">Daily or nightly</td>
<td valign="top" align="left">3</td>
</tr>
<tr>
<th valign="top" align="left">Frequency of Nocturia</th>
<th valign="top" align="left">Nocturia Frequency Score</th>
</tr>
<tr>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1</td>
</tr>
<tr>
<td valign="top" align="left">2</td>
<td valign="top" align="left">2</td>
</tr>
<tr>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3</td>
</tr>
<tr>
<td valign="top" align="left">4</td>
<td valign="top" align="left">3</td>
</tr>
<tr>
<td valign="top" align="left">5 times or more</td>
<td valign="top" align="left">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NHANES, National Health and Nutrition Examination Survey; OABSS, Overactive Bladder Symptom Score.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>TyG index was calculated by the formula Ln [fasting TG (mg/dL) &#xd7; fasting glucose (mg/dL)/2].17 Triglyceride and fasting glucose measurements were determined enzymatically on a Roche Modular P and Roche Cobas 6000 chemistry analyzer, respectively. Participants were categorized into 4 groups (Q1, Q2, Q3, Q4) based on the quartiles of TyG index, with group Q1 as the reference group.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Covariates</title>
<p>Based on the available literature (<xref ref-type="bibr" rid="B19">19</xref>), we assessed the potential impact of factors that may influence outcomes, considering variables identified as potential confounders. These factors included age (years), sex, race (non-Hispanic white or other), marital status (married/cohabiting, other), body mass index (BMI) in three groups: normal &lt; 25.0, overweight 25.0-29.9, and obese &#x2265; 30.0), poverty income ratio (PRI), sleep hours, alcohol and smoking status, hypertension, diabetes, asthma, arthritis, and cancer.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Statistical analysis</title>
<p>Sampling weights were applied in all statistical analyses, which were performed according to the guidelines of the Centers for Disease Control and Prevention (CDC), and continuous variables were presented as means and standard deviations, and categorical variables were presented as percentages. We compared the baseline characteristics of non-OAB individuals with those of OAB individuals using independent samples t-tests, chi-square tests, and Mann-Whitney U tests. Logistic regression models were used to explore the independent relationship between the TyG index and OAB by dividing the TyG index into Q1-Q4 according to continuous variables and according to quartiles. There were three models, with no covariate adjustment in the unadjusted model; model 1 was adjusted for gender, age, race, BMI, alcohol consumption, and smoking; and model 2 was adjusted for gender, age, race, BMI, alcohol consumption, smoking, marital status, PRI, hours of sleep, hypertension, diabetes, asthma, arthritis, and cancer. In addition, we used restricted cubic spline curves (RCS) to explore the dose-response relationship between TyG index and OAB risk. Subsequently, we performed subgroup analyses stratified by age, PRI, race, sex, hypertension, diabetes mellitus, asthma, arthritis, and malignancy, and implemented interaction analyses to assess differences in associations between subgroups. All statistical analyses in this study were performed using R software (R 4.2.3) for data compilation and analysis. A two-sided p &lt; 0.05 was considered statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Baseline characteristics of participants</title>
<p>A total of 14,059 participants were enrolled in this study; 10,734 were non-OAB patients and 3,325 were diagnosed with OAB (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Compared with participants in the non-OAB group, the prevalence of OAB was higher in the subgroups of &#x2265;60 years of age, female patients, BMI &#x2265;30, other races, PIR &#x2264;1.30, alcohol consumption, and sleep duration &#x2264;6 hours. The prevalence of OAB among nonsmokers was 49.8% (N = 1,655) compared with 50.2% (N = 1,670) among smokers, suggesting that smoking may have a smaller effect on OAB risk (P &lt; 0.001). In addition, subgroup variables such as hypertension, diabetes, asthma, arthritis, cancer, and TyG index showed significant differences between the non-OAB and OAB groups (P &lt; 0.001).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Baseline characteristics of the study population. (weighted).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="left">Non-OAB (N=10,734)</th>
<th valign="top" align="left">OAB (N=3325)</th>
<th valign="top" align="left">Total (N=14,059)</th>
<th valign="top" align="left">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Age (%)</th>
</tr>
<tr>
<td valign="top" align="left">20-39</td>
<td valign="top" align="left">4197 (39.1%)</td>
<td valign="top" align="left">478 (14.4%)</td>
<td valign="top" align="left">4675 (33.3%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">40-59</td>
<td valign="top" align="left">3661 (34.1%)</td>
<td valign="top" align="left">957 (28.8%)</td>
<td valign="top" align="left">4618 (32.8%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2265;60</td>
<td valign="top" align="left">2876 (26.8%)</td>
<td valign="top" align="left">1890 (56.8%)</td>
<td valign="top" align="left">4766 (33.9%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">gender (%)</th>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">5067 (47.2%)</td>
<td valign="top" align="left">2031 (61.1%)</td>
<td valign="top" align="left">7098 (50.5%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">5667 (52.8%)</td>
<td valign="top" align="left">1294 (38.9%)</td>
<td valign="top" align="left">6961 (49.5%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">BMI (%)</th>
</tr>
<tr>
<td valign="top" align="left">&lt;25</td>
<td valign="top" align="left">3387 (31.6%)</td>
<td valign="top" align="left">683 (20.5%)</td>
<td valign="top" align="left">4070 (28.9%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">25-29.9</td>
<td valign="top" align="left">3678 (34.3%)</td>
<td valign="top" align="left">998 (30%)</td>
<td valign="top" align="left">4676 (33.3%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2265;30</td>
<td valign="top" align="left">3669 (34.2%)</td>
<td valign="top" align="left">1644 (49.4%)</td>
<td valign="top" align="left">5313 (37.8%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Race (%)</th>
</tr>
<tr>
<td valign="top" align="left">Non-Hispanic White</td>
<td valign="top" align="left">4941 (46%)</td>
<td valign="top" align="left">1463 (44%)</td>
<td valign="top" align="left">6404 (45.6%)</td>
<td valign="top" align="left">0.042</td>
</tr>
<tr>
<td valign="top" align="left">Other Race</td>
<td valign="top" align="left">5793 (54%)</td>
<td valign="top" align="left">1862 (56%)</td>
<td valign="top" align="left">7655 (54.4%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">PRI (%)</th>
</tr>
<tr>
<td valign="top" align="left">&#x2264; 1.30</td>
<td valign="top" align="left">3096 (28.8%)</td>
<td valign="top" align="left">1237 (37.2%)</td>
<td valign="top" align="left">4333 (30.8%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">1.31&#x2013;3.50</td>
<td valign="top" align="left">4068 (37.9%)</td>
<td valign="top" align="left">1348 (40.5%)</td>
<td valign="top" align="left">5416 (38.5%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&gt;3.50</td>
<td valign="top" align="left">3570 (33.3%)</td>
<td valign="top" align="left">740 (22.3%)</td>
<td valign="top" align="left">4310 (30.7%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Smoking status</th>
</tr>
<tr>
<td valign="top" align="left">NO</td>
<td valign="top" align="left">5916 (55.1%)</td>
<td valign="top" align="left">1655 (49.8%)</td>
<td valign="top" align="left">7571 (53.9%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">YES</td>
<td valign="top" align="left">4818 (44.9%)</td>
<td valign="top" align="left">1670 (50.2%)</td>
<td valign="top" align="left">6488 (46.1%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Alcohol Intake (%)</th>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">3131 (29.2%)</td>
<td valign="top" align="left">1318 (39.6%)</td>
<td valign="top" align="left">4449 (31.6%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">7603 (70.8%)</td>
<td valign="top" align="left">2007 (60.4%)</td>
<td valign="top" align="left">9610 (68.4%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Sleep Duration (%)</th>
</tr>
<tr>
<td valign="top" align="left">7-9</td>
<td valign="top" align="left">6801 (63.4%)</td>
<td valign="top" align="left">1883 (56.6%)</td>
<td valign="top" align="left">8684 (61.8%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2264; 6</td>
<td valign="top" align="left">3501 (32.6%)</td>
<td valign="top" align="left">1183 (35.6%)</td>
<td valign="top" align="left">4684 (33.3%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&gt; 9</td>
<td valign="top" align="left">432 (4%)</td>
<td valign="top" align="left">259 (7.8%)</td>
<td valign="top" align="left">691 (4.9%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Hypertension (%)</th>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">7420 (69.1%)</td>
<td valign="top" align="left">1475 (44.4%)</td>
<td valign="top" align="left">8895 (63.3%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">3314 (30.9%)</td>
<td valign="top" align="left">1850 (55.6%)</td>
<td valign="top" align="left">5164 (36.7%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Diabetes (%)</th>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">9735 (90.7%)</td>
<td valign="top" align="left">2502 (75.2%)</td>
<td valign="top" align="left">12237 (87%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">999 (9.3%)</td>
<td valign="top" align="left">823 (24.8%)</td>
<td valign="top" align="left">1822 (13%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Asthma (%)</th>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">9290 (86.5%)</td>
<td valign="top" align="left">2715 (81.7%)</td>
<td valign="top" align="left">12005 (85.4%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">1444 (13.5%)</td>
<td valign="top" align="left">610 (18.3%)</td>
<td valign="top" align="left">2054 (14.6%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Arthritis (%)</th>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">8341 (77.7%)</td>
<td valign="top" align="left">1826 (54.9%)</td>
<td valign="top" align="left">10167 (72.3%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">2393 (22.3%)</td>
<td valign="top" align="left">1499 (45.1%)</td>
<td valign="top" align="left">3892 (27.7%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">Cancer (%)</th>
</tr>
<tr>
<td valign="top" align="left">No</td>
<td valign="top" align="left">9917 (92.4%)</td>
<td valign="top" align="left">2819 (84.8%)</td>
<td valign="top" align="left">12736 (90.6%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Yes</td>
<td valign="top" align="left">817 (7.6%)</td>
<td valign="top" align="left">506 (15.2%)</td>
<td valign="top" align="left">1323 (9.4%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<th valign="top" colspan="5" align="left">TyG index (%)</th>
</tr>
<tr>
<td valign="top" align="left">Q1</td>
<td valign="top" align="left">2846 (26.5%)</td>
<td valign="top" align="left">641 (19.3%)</td>
<td valign="top" align="left">3487 (24.8%)</td>
<td valign="top" align="left">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Q2</td>
<td valign="top" align="left">2715 (25.3%)</td>
<td valign="top" align="left">791 (23.8%)</td>
<td valign="top" align="left">3506 (24.9%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Q3</td>
<td valign="top" align="left">2677 (24.9%)</td>
<td valign="top" align="left">863 (26%)</td>
<td valign="top" align="left">3540 (25.2%)</td>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">Q4</td>
<td valign="top" align="left">2496 (23.3%)</td>
<td valign="top" align="left">1030 (31%)</td>
<td valign="top" align="left">3526 (25.1%)</td>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Values are, n (%) or mean (SE), TyG, triglyceride-glucose index; Q1, first quartile; Q2, second quartile; Q3, third quartile; Q4, fourth quartile;BMI, body mass index; PRI, Poverty income ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Association between TyG index and OAB</title>
<p>Through one-way as well as multifactor logistic regression models, we observed a positive association between TyG index and OAB(<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). For the continuous TyG index variable, a positive association was demonstrated in the unadjusted model (OR = 1.39, 95% CI: 1.31-1.47; p&lt;0.001), and this positive association remained stable in the partially adjusted model, Mode I, and in the fully adjusted model, Model II (OR = 1.18, 95% CI: 1.11-1.26; p&lt;0.001), indicating that the risk of OAB would increase by 18% for each unit increase in TyG index. To further explore the gradient relationship between TyG index and OAB risk, we also converted TyG index from continuous to categorical variables (Q1, Q2, Q3, Q4) according to quartiles for sensitivity analysis and observed a significant positive correlation. In the fully adjusted model Model II, participants in Q2, Q3, and Q4 were associated with an increased risk of OAB compared to Q1.Q2 (OR = 1.15, 95% CI: 1.01-1.30, P = 0.029); Q3 (OR = 1.16, 95% CI: 1.02-1.31, P = 0.022); Q4 (OR = 1.32, 95% CI: 1.17-1.50, P &lt; 0.001). The TyG index was significantly and positively associated with the risk of OAB, and this association remained robust after adjustment for socio-behavioral, economic, and comorbid factors, suggesting that the TyG index may serve as a potential metabolic marker for OAB.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Multivariate logistic regression of the association of TyG index with OAB. (weighted).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Exposure</th>
<th valign="top" align="left">Nonadjusted Model</th>
<th valign="bottom" align="left" rowspan="2">p-Value</th>
<th valign="top" align="left">Model I</th>
<th valign="bottom" align="left" rowspan="2">p-Value</th>
<th valign="top" align="left">Model II</th>
<th valign="bottom" align="left" rowspan="2">p-Value</th>
</tr>
<tr>
<th valign="top" align="left">OR (95% CI)</th>
<th valign="top" align="left">OR (95% CI)</th>
<th valign="top" align="left">OR (95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">TyG index</td>
<td valign="top" align="left">1.39 (1.31-1.47)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.30 (1.22-1.38)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.18 (1.11-1.26)</td>
<td valign="top" align="left">p&lt;0.001***</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">TyG index quartile</th>
</tr>
<tr>
<th valign="top" align="left">Q1</th>
<th valign="top" align="left">Reference</th>
<th valign="top" align="left">&#x2013;</th>
<th valign="top" align="left">Reference</th>
<th valign="top" align="left">&#x2013;</th>
<th valign="top" align="left">Reference</th>
<th valign="top" align="left">&#x2013;</th>
</tr>
<tr>
<td valign="top" align="left">Q2</td>
<td valign="top" align="left">1.29 (1.15-1.45)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.26 (1.11-1.42)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.15 (1.01-1.30)</td>
<td valign="top" align="left">p=0.029*</td>
</tr>
<tr>
<td valign="top" align="left">Q3</td>
<td valign="top" align="left">1.43 (1.28-1.61)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.31 (1.16-1.48)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.16 (1.02-1.31)</td>
<td valign="top" align="left">p=0.022*</td>
</tr>
<tr>
<td valign="top" align="left">Q4</td>
<td valign="top" align="left">1.83 (1.64-2.05)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.59 (1.41-1.79)</td>
<td valign="top" align="left">p&lt;0.001***</td>
<td valign="top" align="left">1.32 (1.17-1.50)</td>
<td valign="top" align="left">p&lt;0.001***</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OR, odds ratio; CI, confidence interval; TyG, triglyceride-glucose index; Q1, first quartile; Q2, second quartile; Q3, third quartile; Q4, fourth quartile. * p-value &lt; 0.001, ** p-value &lt; 0.01, *** p-value &lt; 0.001, * p-value &lt; 0.05.</p>
</fn>
<fn>
<p>Model I: adjusted for gender, age, race, BMI, alcohol consumption, and smoking.</p>
</fn>
<fn>
<p>Model II: adjusted for gender, age, race, BMI, alcohol consumption, smoking, marital status, PRI, sleep duration, hypertension, diabetes, asthma, arthritis and cancer.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Restricted cubic spline curve</title>
<p>We explored the dose-response relationship between TyG index and OAB risk by using restricted cubic spline curves(<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). After adjusting for relevant covariates in model II, there was a linear positive correlation between TyG index and OAB (P for total &lt;0.001; P for nonlinear=0.063). The finding of this linear relationship provides an important quantitative basis for the role of the TyG index in the pathogenesis of OAB.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Linear relationship between triglyceride-glucose (TyG) index and OAB by the generalized additive model.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1610140-g002.tif"/>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Subgroup analysis</title>
<p>To further elucidate the association between TyG index and OAB, we performed subgroup analyses within the PRI, age, race, gender, hypertension, diabetes, asthma, arthritis, and cancer subgroups (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The results showed that the association between TyG index and OAB varied by age and gender status, and this association was more pronounced in individuals younger than 60 years (P for interaction = 0.011) and in women (P for interaction = 0.002). In contrast, this association did not reach statistical significance in individuals aged 60 years and older (P = 0.073). Furthermore, no additional interactions were observed for the association between TyG index and OAB in other subgroups (P for interaction &gt;0.05).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Subgroup analysis of TyG index associated with OAB (weighted).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fendo-16-1610140-g003.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this study, we explored the association between TyG index and OAB for the first time in a large population based on NHANES data. Through multidimensional analysis, we revealed an independent positive association between TyG index as a metabolic marker and the risk of OAB, and the results remained consistent after different stratification and sensitivity analyses.</p>
<p>In the fully adjusted model, there was an 18% increase in risk of OAB for each 1-unit increase in TyG index, and a significant dose-response relationship was observed when grouped into quartiles. The mechanisms underlying the relationship between TyG index and OAB may be independent of traditional metabolic syndrome components and may affect bladder function either directly or through other unmeasured pathways such as microangiopathy. Possible mechanisms include: Elevated TyG index is positively correlated with inflammatory markers such as interleukin-6 (IL-6) and C-reactive protein (CRP), which may contribute to the activation of related pathways to increase afferent neural sensitivity to the bladder (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>). At the same time, insulin resistance may lead to mitochondrial dysfunction and urethral (<xref ref-type="bibr" rid="B20">20</xref>) muscle fibrosis through oxidative stress injury mechanisms (<xref ref-type="bibr" rid="B17">17</xref>). Finally, through an autonomic dysregulation (<xref ref-type="bibr" rid="B21">21</xref>) mechanism, a high TyG index may increase sympathetic activity and induce detrusor overactivity (<xref ref-type="bibr" rid="B18">18</xref>). Together, these mechanisms contribute to OAB.</p>
<p>Subgroup analysis showed that the association between TyG index and OAB was still robust after adjustment for metabolic comorbidities such as diabetes mellitus and asthma, suggesting that the association between TyG index and OAB was more pronounced in people younger than 60 years and in female patients. Possible mechanisms include: a greater metabolic compensatory capacity in the younger population (<xref ref-type="bibr" rid="B22">22</xref>), and the associated inflammatory response due to insulin resistance is more likely to induce early bladder dysfunction (<xref ref-type="bibr" rid="B23">23</xref>). Females have higher levels of estrogen than males, and estrogen may enhance sensory afferents to the bladder by regulating TRPV1 channel expression (<xref ref-type="bibr" rid="B24">24</xref>). The urothelium of females is more sensitive to metabolic disturbances (<xref ref-type="bibr" rid="B8">8</xref>). The TyG index is independently and positively correlated with the risk of OAB, which is more robust in the younger population and in females. The TyG index, as a simple and inexpensive metabolic marker, may be a potential tool for early screening for OAB, especially in individuals with metabolic abnormalities who do not develop significant metabolic disorders. Prioritizing lifestyle interventions to reduce TyG index levels in patients with a high TyG index may be helpful in improving OAB symptoms. However, the clinical application of the TyG index needs to be further validated and its clinical value as a screening tool needs to be supported by further studies.</p>
<p>The present study also has several limitations. First, this study was based on a cross-sectional design, which provided evidence of a positive correlation between the TyG index and OAB. However, a causal relationship between these two variables could not be explained because OAB is a collection of symptoms caused by multiple factors. Although we controlled for some relevant confounders, we could not completely eliminate the effects of other confounding variables. Therefore, our results should be treated with caution. Second, the study data were derived from the US NHANES database and are not representative of the characteristics of the global population. In addition, the diagnosis of OAB is based on questionnaires, which may be subject to recall bias. Therefore, future studies need to validate the findings of this study in different populations and conduct multicenter prospective cohort studies to further clarify the causal relationship between TyG index and OAB.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>This study demonstrates for the first time that TyG index is independently and positively associated with the risk of OAB, and that it is more pronounced in the younger age group and in females.TyG index may provide a potential tool for early screening for OAB, especially in individuals with metabolic abnormalities but who have not developed significant metabolic disorders. Further cohort studies are still needed in the future to demonstrate the potential association.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <uri xlink:href="https://www.cdc.gov/nchs/nhanes/">https://www.cdc.gov/nchs/nhanes/</uri>.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by NCHS Research Ethics Review Board (ERB). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>BC: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. JW: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YH: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. NC: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was funded by the GuangDong Basic and Applied Basic Research Foundation (2023A1515220113). The funders had no role in the study design, data collection, and analysis, decision to publish, or preparation of the manuscript.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" sec-type="disclaimer">
<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>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>N</given-names>
</name>
<name>
<surname>Mo</surname> <given-names>L</given-names>
</name>
<name>
<surname>Tian</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Global prevalence of overactive bladder: A systematic review and meta-analysis</article-title>. <source>Int Urogynecol J</source>. (<year>2025</year>). doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00192-024-06029-2</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qudaha</surname> <given-names>S</given-names>
</name>
<name>
<surname>Abufaraj</surname> <given-names>M</given-names>
</name>
<name>
<surname>Farah</surname> <given-names>R</given-names>
</name>
<name>
<surname>Almazeedia</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ababneh</surname> <given-names>A</given-names>
</name>
<name>
<surname>Alnabulsi</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>The prevalence of overactive bladder and its impact on the quality of life: A cross-sectional study</article-title>. <source>Arab J Urol</source>. (<year>2024</year>) <volume>22</volume>:<fpage>39</fpage>&#x2013;<lpage>47</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/2090598X.2023.2221403</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Duperrouzel</surname> <given-names>C</given-names>
</name>
<name>
<surname>Martin</surname> <given-names>C</given-names>
</name>
<name>
<surname>Mendell</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bourque</surname> <given-names>M</given-names>
</name>
<name>
<surname>Carrera</surname> <given-names>A</given-names>
</name>
<name>
<surname>Mack</surname> <given-names>A</given-names>
</name>
<name>
<surname>Nesheim</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Healthcare and economic burden of anticholinergic use in adults with overactive bladder: a systematic literature review</article-title>. <source>J Comp Eff Res</source>. (<year>2022</year>) <volume>11</volume>:<page-range>1375&#x2013;94</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2217/cer-2022-0160</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Milsom</surname> <given-names>I</given-names>
</name>
<name>
<surname>Coyne</surname> <given-names>KS</given-names>
</name>
<name>
<surname>Nicholson</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kvasz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>CI</given-names>
</name>
<name>
<surname>Wein</surname> <given-names>AJ</given-names>
</name>
</person-group>. <article-title>Global prevalence and economic burden of urgency urinary incontinence: a systematic review</article-title>. <source>Eur Urol</source>. (<year>2014</year>) <volume>65</volume>:<fpage>79</fpage>&#x2013;<lpage>95</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2013.08.031</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Azadzoi</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Yalla</surname> <given-names>SV</given-names>
</name>
<name>
<surname>Siroky</surname> <given-names>MB</given-names>
</name>
</person-group>. <article-title>Oxidative stress and neurodegeneration in the ischemic overactive bladder</article-title>. <source>J Urol</source>. (<year>2007</year>) <volume>178</volume>:<page-range>710&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.juro.2007.03.096</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wei</surname> <given-names>B</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>P</given-names>
</name>
<name>
<surname>Qiu</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>S</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>The association between&#xa0;overactive bladder and systemic immunity-inflammation index: a cross-sectional study of NHANES 2005 to 2018</article-title>. <source>Sci Rep</source>. (<year>2024</year>) <volume>14</volume>:<fpage>12579</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41598-024-63448-3</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Song</surname> <given-names>QX</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>K</given-names>
</name>
<name>
<surname>Mei</surname> <given-names>JY</given-names>
</name>
<name>
<surname>Chermansky</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Damaser</surname> <given-names>MS</given-names>
</name>
</person-group>. <article-title>Potential role of oxidative stress in the pathogenesis of diabetic bladder dysfunction</article-title>. <source>Nat Rev Urol</source>. (<year>2022</year>) <volume>19</volume>:<page-range>581&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41585-022-00621-1</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Baytaroglu</surname> <given-names>C</given-names>
</name>
<name>
<surname>Sevgili</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Association of metabolic syndrome components and overactive bladder in women</article-title>. <source>Cureus</source>. (<year>2021</year>) <volume>13</volume>:<fpage>e14765</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.7759/cureus.14765</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>WC</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>KLH</given-names>
</name>
<name>
<surname>Tain</surname> <given-names>YL</given-names>
</name>
<name>
<surname>Leu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Cheng</surname> <given-names>YT</given-names>
</name>
<name>
<surname>Chan</surname> <given-names>JYH</given-names>
</name>
</person-group>. <article-title>Impaired insulin signaling at the bladder mucosa facilitates metabolic syndrome-associated bladder overactivity in rats with maternal and post-weaning fructose exposure</article-title>. <source>J Formos Med Assoc</source>. (<year>2023</year>) <volume>122</volume>:<page-range>258&#x2013;66</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jfma.2022.09.013</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vargas</surname> <given-names>E</given-names>
</name>
<name>
<surname>Nandhakumar</surname> <given-names>P</given-names>
</name>
<name>
<surname>Ding</surname> <given-names>S</given-names>
</name>
<name>
<surname>Saha</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>Insulin detection in diabetes mellitus: challenges and new prospects</article-title>. <source>Nat Rev Endocrinol</source>. (<year>2023</year>) <volume>19</volume>:<page-range>487&#x2013;95</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41574-023-00842-3</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alvarez-Jimenez</surname> <given-names>L</given-names>
</name>
<name>
<surname>Morales-Palomo</surname> <given-names>F</given-names>
</name>
<name>
<surname>Moreno-Caba&#xf1;as</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ortega</surname> <given-names>JF</given-names>
</name>
<name>
<surname>Mora-Rodr&#xed;guez</surname> <given-names>R</given-names>
</name>
</person-group>. <article-title>Effects of statin therapy on glycemic control and insulin resistance: A systematic review and meta-analysis</article-title>. <source>Eur J Pharmacol</source>. (<year>2023</year>) <volume>947</volume>:<elocation-id>175672</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejphar.2023.175672</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Son</surname> <given-names>DH</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>HS</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>YJ</given-names>
</name>
<name>
<surname>Lee</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Han</surname> <given-names>JH</given-names>
</name>
</person-group>. <article-title>Comparison of triglyceride-glucose index and HOMA-IR for predicting prevalence and incidence of metabolic syndrome</article-title>. <source>Nutr Metab Cardiovasc Dis</source>. (<year>2022</year>) <volume>32</volume>:<fpage>596</fpage>&#x2013;<lpage>604</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.numecd.2021.11.017</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tahapary</surname> <given-names>DL</given-names>
</name>
<name>
<surname>Pratisthita</surname> <given-names>LB</given-names>
</name>
<name>
<surname>Fitri</surname> <given-names>NA</given-names>
</name>
<name>
<surname>Marcella</surname> <given-names>C</given-names>
</name>
<name>
<surname>Wafa</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kurniawan</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Challenges in the diagnosis of insulin resistance: Focusing on the role of HOMA-IR and Tryglyceride/glucose index</article-title>. <source>Diabetes Metab Syndr: Clin Res Rev</source>. (<year>2022</year>) <volume>16</volume>:<elocation-id>102581</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.dsx.2022.102581</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Staggers</surname> <given-names>KA</given-names>
</name>
<name>
<surname>Minard</surname> <given-names>C</given-names>
</name>
<name>
<surname>Byers</surname> <given-names>M</given-names>
</name>
<name>
<surname>Helmer</surname> <given-names>DA</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>TD</given-names>
</name>
</person-group>. <article-title>Metabolic dysfunction, triglyceride-glucose index, and risk of severe asthma exacerbation</article-title>. <source>J Allergy Clin Immunol: Pract</source>. (<year>2023</year>) <volume>11</volume>:<fpage>3700</fpage>&#x2013;<lpage>3705.e2</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaip.2023.09.001</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qin</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>J</given-names>
</name>
<name>
<surname>Geng</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chang</surname> <given-names>K</given-names>
</name>
<name>
<surname>Liao</surname> <given-names>R</given-names>
</name>
<name>
<surname>Su</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Higher triglyceride&#x2013;glucose index is associated with increased likelihood of kidney stones</article-title>. <source>Front Endocrinol</source>. (<year>2021</year>) <volume>12</volume>:<elocation-id>774567</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2021.774567</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yilmaz</surname> <given-names>M</given-names>
</name>
<name>
<surname>Karaaslan</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tonyali</surname> <given-names>S</given-names>
</name>
<name>
<surname>Celik</surname> <given-names>M</given-names>
</name>
<name>
<surname>Toprak</surname> <given-names>T</given-names>
</name>
<name>
<surname>Odabas</surname> <given-names>O</given-names>
</name>
</person-group>. <article-title>Triglyceride-Glucose Index (TyG) is associated with erectile dysfunction: A cross-sectional study</article-title>. <source>Andrology</source>. (<year>2021</year>) <volume>9</volume>:<page-range>238&#x2013;44</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/andr.12904</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Association between TyG index and risk of carotid atherosclerosis in NAFLD patients: a retrospective cohort study</article-title>. <source>Front Endocrinol</source>. (<year>2024</year>) <volume>15</volume>:<elocation-id>1448359</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2024.1448359</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Park</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Choi</surname> <given-names>HR</given-names>
</name>
<name>
<surname>Kwon</surname> <given-names>R</given-names>
</name>
<name>
<surname>Lim</surname> <given-names>GY</given-names>
</name>
<etal/>
</person-group>. <article-title>Menopausal stages and overactive bladder symptoms in middle-aged women: A cross-sectional study</article-title>. <source>BJOG: Int J Obstet Gynaecol</source>. (<year>2024</year>) <volume>131</volume>:<page-range>1805&#x2013;14</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1111/1471-0528.17912</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>G</given-names>
</name>
<name>
<surname>Li</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>Association of healthy eating index-2015 and overactive bladder: a cross-sectional study</article-title>. <source>Front Nutr</source>. (<year>2024</year>) <volume>11</volume>:<elocation-id>1400398</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fnut.2024.1400398</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Khosla</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gong</surname> <given-names>S</given-names>
</name>
<name>
<surname>Weiss</surname> <given-names>JP</given-names>
</name>
<name>
<surname>Birder</surname> <given-names>LA</given-names>
</name>
</person-group>. <article-title>Oxidative stress biomarkers in age-related lower urinary tract disorders: A systematic review</article-title>. <source>Int Neurourol J</source>. (<year>2022</year>) <volume>26</volume>:<fpage>3</fpage>&#x2013;<lpage>19</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5213/inj.2142188.094</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tanik</surname> <given-names>N</given-names>
</name>
<name>
<surname>Tanik</surname> <given-names>S</given-names>
</name>
<name>
<surname>Albayrak</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zengin</surname> <given-names>K</given-names>
</name>
<name>
<surname>Inan</surname> <given-names>LE</given-names>
</name>
<name>
<surname>Caglayan</surname> <given-names>EK</given-names>
</name>
<etal/>
</person-group>. <article-title>Association between overactive bladder and polyneuropathy in diabetic patients</article-title>. <source>Int Neurourol J</source>. (<year>2016</year>) <volume>20</volume>:<page-range>232&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.5213/inj.1632508.254</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>He</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Deng</surname> <given-names>C</given-names>
</name>
<name>
<surname>He</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wen</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wei</surname> <given-names>C</given-names>
</name>
<etal/>
</person-group>. <article-title>Diabetes mellitus, systemic inflammation and overactive bladder</article-title>. <source>Front Endocrinol</source>. (<year>2024</year>) <volume>15</volume>:<elocation-id>1386639</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fendo.2024.1386639</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Petersen</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Shulman</surname> <given-names>GI</given-names>
</name>
</person-group>. <article-title>Mechanisms of insulin action and insulin resistance</article-title>. <source>Physiol Rev</source>. (<year>2018</year>) <volume>98</volume>:<page-range>2133&#x2013;223</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1152/physrev.00063.2017</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yamagata</surname> <given-names>K</given-names>
</name>
<name>
<surname>Sugimura</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yoshida</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sekine</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kawano</surname> <given-names>A</given-names>
</name>
<name>
<surname>Oyamaguchi</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>.&#xa0;<article-title>Estrogens exacerbate nociceptive pain via up-regulation of TRPV1 and ANO1 in trigeminal primary neurons of female rats</article-title>. <source>Endocrinology</source>. (<year>2016</year>) <volume>157</volume>:<page-range>4309&#x2013;17</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1210/en.2016-1218</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>