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<front>
<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.2021.788642</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>Determinants of Urinary Incontinence and Subtypes Among the Elderly in Nursing Homes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Tai</surname> <given-names>Hongyan</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1502581/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname> <given-names>Shunying</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wang</surname> <given-names>Haiqin</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tan</surname> <given-names>Hongzhuan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/806189/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Clinical Nursing Teaching and Research Section, The Second Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Geriatric Department, The Second Xiangya Hospital, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Xiangya School of Public Health, Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Miao Liu, Chinese PLA General Hospital, China</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: &#x000D6;zge &#x000D6;z Yildirim, Ondokuz Mayis University, Turkey; Lin Xu, Sun Yat-sen University, China</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Haiqin Wang <email>wanghaiqin77&#x00040;csu.edu.cn</email></corresp>
<corresp id="c002">Hongzhuan Tan <email>tanhz99&#x00040;qq.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Aging and Public Health, a section of the journal Frontiers in Public Health</p></fn></author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>12</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>9</volume>
<elocation-id>788642</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>10</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>11</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2021 Tai, Liu, Wang and Tan.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Tai, Liu, Wang and Tan</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><p>Urinary incontinence (UI) is a common problem among older adults. This study investigated the prevalence of UI in nursing home residents aged &#x02265;75 years in China and examined potential risk factors associated with UI and its subtypes. Data were collected during face-to-face interviews using a general questionnaire, the International Consultation Incontinence Questionnaire Short-Form, and the Barthel Index. A total of 551 participants aged &#x02265;75 years residing in Changsha city were enrolled from June to December 2018. The UI prevalence rate among nursing home residents aged &#x02265;75 years was 24.3%. The most frequent subtype was mixed (M) UI (38.1%), followed by urge (U) UI (35.1%), stress (S) UI (11.9%), and other types (14.9%). In terms of severity, 57.5% had moderate UI, while 35.1% had mild and 7.5% had severe UI. Constipation, immobility, wheelchair use, cardiovascular disease (CVD), and pelvic or spinal surgery were significant risk factors for UI. Participants with a history of surgery had higher risks of SUI (odds ratio [OR] = 4.87, 95% confidence interval [CI]: 1.55&#x02013;15.30) and UUI (OR = 1.97, 95% CI: 1.05&#x02013;3.71), those who were immobile or used a wheelchair had higher rates of MUI (OR = 11.07, 95% CI: 4.19&#x02013;29.28; OR = 3.36, 95% CI: 1.16&#x02013;9.78) and other UI types (OR = 7.89, 95% CI: 1.99&#x02013;31.30; OR = 14.90, 95% CI: 4.88&#x02013;45.50), those with CVD had a higher rate of UUI (OR = 2.25, 95% CI: 1.17&#x02013;4.34), and those with diabetes had a higher risk of UUI (OR = 2.250, 95% CI: 1.14&#x02013;4.44). Use of oral antithrombotic agents increased UUI risk (OR = 4.98, 95% CI: 2.10&#x02013;11.85) whereas sedative hypnotic drug use was associated with a higher risk of MUI (OR = 3.62, 95% CI: 1.25&#x02013;10.45). Each UI subtype has distinct risk factors, and elderly residents of nursing homes with a history of CVD and pelvic or spinal surgery who experience constipation should be closely monitored. Reducing time spent in bed and engaging in active rehabilitation including walking and muscle strengthening may aid in UI prevention and treatment.</p></abstract>
<kwd-group>
<kwd>urinary incontinence</kwd>
<kwd>geriatric</kwd>
<kwd>older adult</kwd>
<kwd>elderly population</kwd>
<kwd>prevalence</kwd>
<kwd>risk factor</kwd>
<kwd>nursing home</kwd>
<kwd>subtype</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="46"/>
<page-count count="7"/>
<word-count count="5540"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>Introduction</title>
<p>Urinary incontinence (UI) is defined by International Continence Society (ICS) as complaint of involuntary loss of urine (<xref ref-type="bibr" rid="B1">1</xref>). It&#x00027;s common in elderly patients and usually play a major role in independent person in the community or dependent person in the nursing home (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). UI affects nearly 40% of women aged 80 years and older, 10&#x02013;35% of older men, and up to 80% of long-term care residents and can severely impair an individual&#x00027;s quality of life (QoL) (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>) because of the associated hygiene and social problems (<xref ref-type="bibr" rid="B6">6</xref>). Therefore, healthcare providers need to demonstrate sensitivity in evaluating and discussing UI, particularly with older adults.</p>
<p>There are three major subtypes of UI&#x02014;urge (U), stress (S), and mixed (M)&#x02014;which have different risk factors and etiologies (<xref ref-type="bibr" rid="B7">7</xref>). UUI and SUI are the most common subtypes in older persons, while MUI is the combination of both types (<xref ref-type="bibr" rid="B8">8</xref>). UI is a risk factor for mortality in the elderly (<xref ref-type="bibr" rid="B9">9</xref>&#x02013;<xref ref-type="bibr" rid="B11">11</xref>) and is closely related to declines in cognitive function and performance of activities of daily living (ADL) as well as age, obesity, diabetes, loss of independence, depression and anxiety levels, and agitation (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B14">14</xref>). It is important to clarify the association between UI and cardiovascular risk factors through screening (<xref ref-type="bibr" rid="B14">14</xref>) to prevent the development of cardiovascular disease (CVD). However, there is little known about the prevalence of UI in the elderly population of China.</p>
<p>There are many factors that affect urinary incontinence in older adults, such as age, frailty, depression, neurologic conditions, cognitive impairment, mobility impairment, lower urinary tract symptoms (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>), race, education, hypertension, smoking, diabetes, increased parity, higher body mass index, and oral hormone therapy, and radical prostatectomy for prostate cancer in men (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>). However, in the very old population, whether there are more special factors of UI or not for this high-risk population, these are worthy of our consideration.</p>
<p>The aims of this study was to determine the prevalence of UI in the very old population (aged &#x02265; 75 years old) in nursing homes, examine potential risk factors associated with UI and its subtypes, which may provide evidence for further development of UI strategies for this high-risk populations.</p>
</sec>
<sec sec-type="materials and methods" id="s2">
<title>Materials and Methods</title>
<sec>
<title>Study Design</title>
<p>This nursing institution-based cross-sectional study was carried out with face-to-face surveys conducted between June and December 2018 among older adults residing in Changsha city, the capital of Hunan province, China. Changsha is located in the east of Hunan, with an area of 11,819.5 km<sup>2</sup>. Changsha comprises Furong, Tianxin, Yuelu, Kaifu, Yuhua, and Wangcheng districts; Changsha and Ningxiang counties; and Liuyang city. The study involved 20 of the 83 nursing homes in Changsha, with over 551 nursing home residents enrolled.</p>
</sec>
<sec>
<title>Study Population</title>
<p>Older adults &#x02265;75 years old who had resided for a minimum of 1 year in the study area with normal cognition and communication ability were eligible to participate. Mentally unstable nursing home residents with life-threatening diseases were excluded. The study was approved by the Medical Ethics Committee of Central South University. Written informed consent to participate in the study was provided by the participants or their legal guardian/next of kin.</p>
</sec>
<sec>
<title>Study Size</title>
<p>The sample size was calculated using the formula n = &#x003BC;&#x003B1;<sup>2</sup>&#x003C0; (1&#x02013;&#x003C0;)/&#x003B4;<sup>2</sup>, where &#x003B1; is 0.05; &#x003C0; is the prevalence rate of UI, which was taken to be 25.0% from a previous study (<xref ref-type="bibr" rid="B22">22</xref>); and &#x003B4; is 0.15 &#x003C0;. Based on this calculation, the minimum sample size for this study was determined as 512.</p>
</sec>
<sec>
<title>Survey Instrument</title>
<p>A questionnaire for collecting data on general characteristics was used in the face-to-face interview. The data included age, nationality, marital status, occupation, source of income, education level, and medical history, among other characteristics. Height and weight were measured with the same ruler and electronic scales for each participant.</p>
<p>UI was assessed using the International Consultation Incontinence Questionnaire&#x02014;Short Form (ICIQ-SF), which continues to be the most internationally used questionnaire and has been translated into over 60 languages (<xref ref-type="bibr" rid="B23">23</xref>). It comprises three scored items and an unscored self-diagnosis item to determine the prevalence, frequency, and severity of urinary leakage and its impact on QoL (<xref ref-type="bibr" rid="B24">24</xref>). The sum of scores for the three items ranging from 0 to 21, and higher scores indicating increased UI severity and greater impact on QoL. The scale has demonstrated high internal reliability in British patients at a urology clinic and in a community-based study (Cronbach&#x00027;s &#x003B1; = 0.95) (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Mild UI was defined as &#x0003C; 7 points; moderate UI as 7&#x02013;14 points; and severe UI as &#x0003E;14 points.</p>
<p>ADL performance was significantly associated with UI (<xref ref-type="bibr" rid="B12">12</xref>), the Barthel Index (BI) was used to assess each individual&#x00027;s ADL performance (Cronbach&#x00027;s &#x003B1; = 0.93) (<xref ref-type="bibr" rid="B12">12</xref>). This 100-point clinical rating index includes 10 items related to self-care ability (i.e., bowels, bladder, grooming, toilet use, feeding, dressing, and bathing) and mobility (i.e., transfer, mobility, and stairs), with a higher score indicating a lower level of physical dependence. The Barthel index scores are classified as follows: 0&#x02013;20 points: total dependency; 21&#x02013;60 points: high-level dependency; 61&#x02013;90 points: mid-level dependency; 91&#x02013;99 points: low-level dependency; 100 points: total independence (<xref ref-type="bibr" rid="B26">26</xref>).</p>
</sec>
<sec>
<title>Data Analysis</title>
<p>EpiData v3.1 (<ext-link ext-link-type="uri" xlink:href="https://www.epidata.dk/index.htm">https://www.epidata.dk/index.htm</ext-link>) and SPSS v25.0 (IBM Corp., Armonk, NY, USA) were used for data management and analysis, respectively. Numerical variables are expressed as the mean &#x000B1; standard deviation (SD) and categorical variables as frequency and percentage. Differences in frequency distributions between groups were assessed with Pearson &#x003C7;<sup>2</sup> tests, and determinants of UI and its subtypes were assessed using binary logistic regression (LR) models. For all tests, 2-tailed <italic>p</italic> &#x0003C; 0.05 were considered statistically significant.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec>
<title>General Characteristics of Older Adults in Nursing Homes</title>
<p>Of the 551 study participants, 67.0% were female; 55.7% were 70&#x02013;79 years old, 44.3% were &#x0003E;80 years old, and the mean age (&#x000B1;SD) was 84.16 (&#x000B1;4.84) years. In terms of education level, 37.2% of participants had completed middle or high school and almost 40% had &#x0003E;40 years of work experience. Most participants had been married; 30.5% were still married and 67.9% were widowed. In most cases, the source of income was retirement pension (89.5%), and only 14.5% of participants had a monthly income &#x0003C;2,000 yuan. In terms of functional status, 62.1% of participants were fully independent in ADL as measured by BI; 6.4% were impaired, and 4.5% were disabled. Based on body mass index (BMI), 22.9% of participants were overweight and 5.1% were obese (BMI &#x02265; 28 kg/m<sup>2</sup>) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>General characteristics of older adults in nursing homes.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="left"><bold>Category</bold></th>
<th valign="top" align="center"><bold><italic>N</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">182 (33.0)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">369 (67.0)</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">&#x0003C;80 years old</td>
<td valign="top" align="center">307 (55.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x02265;80 years old</td>
<td valign="top" align="center">244 (44.3)</td>
</tr>
<tr>
<td valign="top" align="left">Occupation</td>
<td valign="top" align="left">Institution</td>
<td valign="top" align="center">208 (37.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Enterprise/individual household</td>
<td valign="top" align="center">196 (35.6)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">147 (26.7)</td>
</tr>
<tr>
<td valign="top" align="left">Education level</td>
<td valign="top" align="left">Primary school</td>
<td valign="top" align="center">168 (30.5)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Middle and high school</td>
<td valign="top" align="center">205 (37.2)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">At least bachelor</td>
<td valign="top" align="center">178 (32.3)</td>
</tr>
<tr>
<td valign="top" align="left">Marriage</td>
<td valign="top" align="left">Single and divorce</td>
<td valign="top" align="center">10 (1.8)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Couples</td>
<td valign="top" align="center">167 (30.3)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Widowed</td>
<td valign="top" align="center">374 (67.9)</td>
</tr>
<tr>
<td valign="top" align="left">Economic source</td>
<td valign="top" align="left">Retirement pension</td>
<td valign="top" align="center">493 (89.5)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">58 (10.5)</td>
</tr>
<tr>
<td valign="top" align="left">Month income</td>
<td valign="top" align="left">&#x0003C;2,000 yuan</td>
<td valign="top" align="center">80 (14.5)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">2,000&#x02013;2,999 yuan</td>
<td valign="top" align="center">180 (32.7)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">3,000&#x02013;3,999 yuan</td>
<td valign="top" align="center">121 (21.9)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x02265;4,000 yuan</td>
<td valign="top" align="center">170 (30.9)</td>
</tr>
<tr>
<td valign="top" align="left">ADL score</td>
<td valign="top" align="left"> &#x02264; 40</td>
<td valign="top" align="center">25 (4.5)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">41&#x02013;60</td>
<td valign="top" align="center">35 (6.4)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">61&#x02013;99</td>
<td valign="top" align="center">149 (27.0)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">100</td>
<td valign="top" align="center">342 (62.1)</td>
</tr>
<tr>
<td valign="top" align="left">Body index mass (kg/m<sup>2</sup>)</td>
<td valign="top" align="left">&#x0003C;18.5</td>
<td valign="top" align="center">50 (9.1)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">18.5&#x02013;23.9</td>
<td valign="top" align="center">347 (63.0)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">24&#x02013;27.9</td>
<td valign="top" align="center">126 (22.9)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x02265;28</td>
<td valign="top" align="center">28 (5.0)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>UI Prevalence in the Geriatric Population of Nursing Homes</title>
<p>We found 134 UI in all 551 participants, with a UI prevalence rate of 24.3%. Of which MUI accounted to 38.1%; UUI 35.1%; SUI 11.9%; and other types 14.9%; 57.5% of UI was moderate UI, 35.1 % was mild UI, and 7.5% had severe UI (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>The constituent ratio of different UI among 134 UI patients.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="center"><bold><italic>N</italic></bold></th>
<th valign="top" align="center"><bold>ratio (%)</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Type</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">SUI</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">11.9</td>
</tr>
<tr>
<td valign="top" align="left">UUI</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">35.1</td>
</tr>
<tr>
<td valign="top" align="left">MUI</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">38.1</td>
</tr>
<tr>
<td valign="top" align="left">Other UI</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">14.9</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Severity</bold></td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mild UI</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">35.1</td>
</tr>
<tr>
<td valign="top" align="left">Moderate UI</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">57.5</td>
</tr>
<tr>
<td valign="top" align="left">Severe UI</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">7.5</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Total UI</bold></td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">100.0</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>General Characteristics of UI in the Geriatric Population</title>
<p>There was no difference in UI prevalence between males (22.5%) and females (25.2%) or between obese (23.5%) and non-obese (39.3%) participants. Anxiety and depression were associated with higher rates of UI (32.3%, &#x003C7;<sup>2</sup> = 7.39, <italic>p</italic> = 0.007) and other types of UI (6.5%, &#x003C7;<sup>2</sup> = 4.91, <italic>p</italic> = 0.027). In terms of functional status, immobile participants had a higher frequency of UI and MUI (75.0%, 45.0%), whereas those who could walk independently had a low rate of UI (19.9%) (&#x003C7;<sup>2</sup> = 51.82, <italic>p</italic> &#x0003C; 0.001). Mobility was a strong predictor of MUI and other UI types (&#x003C7;<sup>2</sup> = 36.68, <italic>p</italic> &#x0003C; 0.001, &#x003C7;<sup>2</sup> = 41.82, <italic>p</italic> &#x0003C; 0.001). Participants with a history of hypertension or urinary tract infection (UTI) had a higher rates of UI than those without this medical history (hypertension: 27.8% vs. 19.4%, &#x003C7;<sup>2</sup> = 5.11, <italic>p</italic> = 0.024; UTI: 53.8% vs. 23.6%, &#x003C7;<sup>2</sup> = 6.31, <italic>p</italic> = 0.012). Participants with constipation had higher rates of UI and MUI than those without constipation (UI: 32.7% vs. 20.7%, &#x003C7;<sup>2</sup> = 6.31, <italic>p</italic> = 0.012; MUI: 13.9% vs. 7.3%, &#x003C7;<sup>2</sup> = 6.15, <italic>p</italic> = 0.013). Participants with a history of CVD had a higher rate of UI and UUI (UI: 32.9% vs. 21.3%, &#x003C7;<sup>2</sup> = 7.67, <italic>p</italic> = 0.006; UUI: 16.1% vs. 5.9%, &#x003C7;<sup>2</sup> = 14.12, <italic>p</italic> &#x0003C; 0.001) and those with a history of surgery had a higher rate of UI (30.6% vs. 20.3%, &#x003C7;<sup>2</sup> = 7.51, <italic>p</italic> = 0.006), SUI (5.6% vs. 1.2%, &#x003C7;<sup>2</sup> = 8.86, <italic>p</italic> = 0.003), and UUI (11.6%, &#x003C7;<sup>2</sup> = 4.22, <italic>p</italic> = 0.040) than those without these in their medical history. Finally, participants who were taking oral antilipidemic and antithrombotic medications had higher rates of UI than those who were not taking these drugs (antilipidemics: 44.0%, &#x003C7;<sup>2</sup> = 5.51, <italic>p</italic> = 0.019; antithrombotics: 44.1%, &#x003C7;<sup>2</sup> = 5.60, <italic>p</italic> = 0.018) (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Prevalence rate of UI in different character of nursing homes (<italic>n</italic> = 551).</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Characteristics</bold></th>
<th valign="top" align="left"><bold>Category</bold></th>
<th valign="top" align="center"><bold><italic>N</italic>/total (%)</bold></th>
<th valign="top" align="center"><bold><italic>&#x003C7;<sup>2</sup></italic> (<italic>P)</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="4"><bold>UI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">41/182 (22.5)</td>
<td valign="top" align="center">0.474 (0.491)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">93/369 (25.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Obesity</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">123/523 (23.5)</td>
<td valign="top" align="center">3.590 (0.058)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">11/28 (39.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Anxiety/depression</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">84/369 (21.2)</td>
<td valign="top" align="center">7.385 (0.007)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">50/155 (32.3)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Constipation</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">80/386 (20.7)</td>
<td valign="top" align="center">9.047 (0.003)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">54/165 (32.7)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mobility</td>
<td valign="top" align="left">Immobility</td>
<td valign="top" align="center">15/20 (75.0)</td>
<td valign="top" align="center">51.819 (&#x0003C;0.001)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Wheelchair use</td>
<td valign="top" align="center">15/24 (62.5)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Assisted walking</td>
<td valign="top" align="center">13/50 (26.0)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Independent walking</td>
<td valign="top" align="center">91/457 (19.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Cardiovascular disease</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">87/408 (21.3)</td>
<td valign="top" align="center">7.666 (0.006)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">47/143 (32.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">44/227 (19.4)</td>
<td valign="top" align="center">5.111 (0.024)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">90/324 (27.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Surgical history</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">68/335 (20.3)</td>
<td valign="top" align="center">7.507 (0.006)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">66/216 (30.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Urinary tract infection</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">127/538 (23.6)</td>
<td valign="top" align="center">6.307 (0.012)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">7/13 (53.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Antilipidemic medications</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">123/526 (23.4)</td>
<td valign="top" align="center">5.511 (0.019)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">11/25 (44.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Antithrombotic medications</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">120/517 (23.2)</td>
<td valign="top" align="center">5.595 (0.018)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">14/34 (41.2)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>SUI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Surgical history</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">4/335 (1.2)</td>
<td valign="top" align="center">8.860 (0.003)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">12/216 (5.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>UUI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Cardiovascular disease</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">24/408 (5.9)</td>
<td valign="top" align="center">14.124 (&#x0003C;0.001)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">23/143 (16.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Surgical history</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">22/335 (6.6)</td>
<td valign="top" align="center">4.220 (0.040)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">25/216 (11.6)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Antilipidemic medications</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">40/526 (7.6)</td>
<td valign="top" align="center">12.724 (&#x0003C;0.001)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">7/25 (28.0)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Antithrombotic medications</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">36/517 (7.0)</td>
<td valign="top" align="center">26.358 (&#x0003C;0.001)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">11/34 (32.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Alcohol consumption</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">41/520 (7.9)</td>
<td valign="top" align="center">4.933 (0.026)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">6/31 (19.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diabetes</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">16/122 (13.1)</td>
<td valign="top" align="center">4.222 (0.040)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">31/429 (7.20)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>MUI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Constipation</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">28/386 (7.3)</td>
<td valign="top" align="center">6.151 (0.013)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">23/165 (13.9)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mobility</td>
<td valign="top" align="left">Immobility</td>
<td valign="top" align="center">9/20 (45.0)</td>
<td valign="top" align="center">36.679 (&#x0003C;0.001)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Wheelchair use</td>
<td valign="top" align="center">5/24 (20.8)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Assisted walking</td>
<td valign="top" align="center">3/50 (6.0)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Independent walking</td>
<td valign="top" align="center">34/457 (7.4)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="left">&#x0003C;85 years old</td>
<td valign="top" align="center">36/307 (11.7)</td>
<td valign="top" align="center">5.038 (0.025)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">&#x02265;85 years old</td>
<td valign="top" align="center">15/244 (6.1)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sedative hypnotic drug</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">46/527 (8.7)</td>
<td valign="top" align="center">4.004 (0.045)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">5/24 (20.8)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="4"><bold>Other UI</bold></td>
</tr>
<tr>
<td valign="top" align="left">Anxiety/depression</td>
<td valign="top" align="left">No</td>
<td valign="top" align="center">10/396 (2.5)</td>
<td valign="top" align="center">4.909 (0.027)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Yes</td>
<td valign="top" align="center">10/155 (6.5)</td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mobility</td>
<td valign="top" align="left">Immobility</td>
<td valign="top" align="center">3/20 (15.0)</td>
<td valign="top" align="center">41.820 (&#x0003C;0.001)</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Wheelchair use</td>
<td valign="top" align="center">6/24 (25.0)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Assisted walking</td>
<td valign="top" align="center">1/50 (2.0)</td>
<td/>
</tr>
<tr>
<td/>
<td valign="top" align="left">Independent walking</td>
<td valign="top" align="center">10/457 (2.2)</td>
<td/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Factors Associated With UI and Its Subtypes</title>
<p>Binary LR was carried out to evaluate the association between UI, SUI, and other types of UI (dependent variable, dichotomized into UI vs. no UI, SUI vs. no SUI, and other UI vs. no other UI) and general characteristics of UI (covariates: anxiety/depression, constipation, mobility, CVD, hypertension, history of surgery, UTI, antilipidemic and antithrombotic medications). UI-related characteristics that were significant on Pearson &#x003C7;<sup>2</sup> tests were entered into the LR model by backward stepwise regression, with mobility as the last categorical covariate (independent walking; &#x003B1; In = 0.05, &#x003B1; Out = 0.10).</p>
<p>Binary LR was used to assess the independent association between UUI (dependent variable, dichotomized into UUI vs. no UUI) and general characteristics of UI and MUI (covariates: anxiety/depression, constipation, mobility, CVD, hypertension, history of surgery, UTI, antilipidemic and antithrombotic medicines, alcohol consumption, and diabetes). All UI- and UUI-related characteristics that were significant in Pearson &#x003C7;<sup>2</sup> tests were entered into model by backward stepwise regression, with mobility as the last categorical covariate (independent walk; probability for stepwise entry = 0.05, removal = 0.10). The binary LR model was used to assess the independent association between MUI (dependent variable, dichotomized into MUI vs. no MUI) and general characteristics of MUI (covariates: anxiety/depression, constipation, mobility, CVD, hypertension, surgical history, UTI, antilipidemic and antithrombotic medicines, age, and sedative/hypnotic drugs). All UI- and MUI-related characteristics that were significant in Pearson &#x003C7;<sup>2</sup> tests were entered into the model by backward stepwise regression, with mobility as the last categorical covariate (independent walking; probability for stepwise entry = 0.05, removal = 0.10). The multivariate-adjusted odds ratios (ORs) and their 95% confidence intervals (CIs) and <italic>p</italic>-values were calculated. All analyses met the goodness-of-fit criterion as determined with the Hosmer&#x02013;Lemeshow tests.</p>
<p>The results showed that constipation, immobility, wheelchair use, CVD, and history of surgery were significant risk factors for UI (<xref ref-type="table" rid="T3">Table 3</xref>). Participants with a history of surgery had a higher risk of SUI (OR = 4.87, 95% CI: 1.55&#x02013;15.30) and UUI (OR = 1.97, 95% CI: 1.05&#x02013;3.71), and immobile and wheelchair-assisted older adults had a higher frequency of MUI (OR = 11.07, 95% CI: 4.19&#x02013;29.28; OR = 3.36, 95% CI: 1.16&#x02013;9.78) and other types of UI (OR = 7.89, 95% CI: 1.99&#x02013;31.30; OR = 14.90, 95% CI: 4.88&#x02013;45.50). Compared to participants with no history of CVD, those with CVD history reported a higher frequency of UUI (OR = 2.25, 95% CI: 1.17&#x02013;4.34). Participants with diabetes were more likely to experience UUI than those without diabetes (OR = 2.250, 95% CI: 1.14&#x02013;4.44). Use of oral antithrombotic drugs was associated with a higher risk for UUI (OR = 4.98, 95% CI: 2.10&#x02013;11.85), and a history of sedative hypnotic drug use was associated with a higher risk of MUI (OR = 3.62, 95% CI: 1.25&#x02013;10.45) (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>Multivariate logistic regression model with UI and subtypes in the geriatric population of nursing homes.</p></caption>
<table frame="hsides" rules="groups">
<thead><tr>
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>UI</bold></th>
<th valign="top" align="center"><bold>SUI</bold></th>
<th valign="top" align="center"><bold>UUI</bold></th>
<th valign="top" align="center"><bold>MUI</bold></th>
<th valign="top" align="center"><bold>OTHER</bold></th>
</tr>
<tr>
<th/>
<th valign="top" align="center"><bold><italic>OR (95%CI)/P</italic></bold></th>
<th valign="top" align="center"><bold><italic>OR (95%CI)/P</italic></bold></th>
<th valign="top" align="center"><bold><italic>OR (95%CI)/P</italic></bold></th>
<th valign="top" align="center"><bold><italic>OR (95%CI)/P</italic></bold></th>
<th valign="top" align="center"><bold><italic>OR (95%CI)/P</italic></bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Constipation<break/> (reference = No)</td>
<td valign="top" align="center">1.62 (1.03,2.55)/0.038</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Immobility<break/> (reference = Independent walk)</td>
<td valign="top" align="center">13.13 (4.44, 38.80)/ &#x0003C;0.001</td>
<td/>
<td/>
<td valign="top" align="center">11.07 (4.19, 29.28)/ &#x0003C;0.001</td>
<td valign="top" align="center">7.89 (1.99, 31.30)/0.003</td>
</tr>
<tr>
<td valign="top" align="left">Wheelchair Independent<break/> (reference = walk)</td>
<td valign="top" align="center">6.58 (2.70, 16.03)/ &#x0003C;0.001</td>
<td/>
<td/>
<td valign="top" align="center">3.36 (1.16, 9.78)/0.026</td>
<td valign="top" align="center">14.90 (4.88, 45.50)/ &#x0003C;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Cardiovascular disease<break/> (reference = No)</td>
<td valign="top" align="center">2.15 (1.34, 3.43)/0.001</td>
<td/>
<td valign="top" align="center">2.25 (1.17, 4.34)/0.015</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Surgical history<break/> (reference = No)</td>
<td valign="top" align="center">2.02 (1.31, 3.12)/0.001</td>
<td valign="top" align="center">4.87 (1.55, 15.30)/0.007</td>
<td valign="top" align="center">1.97 (1.05, 3.71)/0.035</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Antithrombotic drugs<break/> (reference = No)</td>
<td/>
<td/>
<td valign="top" align="center">4.98 (2.10, 11.86)/ &#x0003C;0.001</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diabetes<break/> (reference = No)</td>
<td/>
<td/>
<td valign="top" align="center">2.25 (1.14, 4.44)/0.019</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Sedative hypnotic drug<break/> (reference = No)</td>
<td/>
<td/>
<td/>
<td valign="top" align="center">3.62 (1.25, 10.45)/0.018</td>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Constant</bold></td>
<td valign="top" align="center">0.035</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="center">0.017</td>
<td valign="top" align="center">0.187</td>
<td valign="top" align="center">0.022</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>In this study, the UI prevalence of nursing home residents aged &#x02265;75 years was 24.3%, which is lower than that reported in other studies of individuals aged &#x02265;65 years (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B22">22</xref>). General good health, consciousness, and good cognitive ability may explain the lower rate in our cohort. Our results showed that CVD was a risk factor for UI and UUI, which was in line with previous findings that UI had a high prevalence among heart failure patients (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>). As bladder function is affected by many cardiovascular risk factors, UI is a possible consequence of metabolic syndrome (<xref ref-type="bibr" rid="B14">14</xref>). Water&#x02013;sodium retention and impaired bladder function are associated with CVD, while diuretics used in CVD treatment may lead to nocturia and increase the occurrence of UI (<xref ref-type="bibr" rid="B29">29</xref>). Despite patients&#x00027; perception that diuretics are unpleasant and make it difficult for them to leave their home, patients in one study were generally compliant with their medication regime; nonetheless, nearly half experienced urine leakage, and most found urgency and incontinence bothersome (<xref ref-type="bibr" rid="B28">28</xref>). The assessment and management of UI or UUI in patients with CVD warrant further exploration.</p>
<p>The relationship between mobility in ADL and UI and its subtypes was evaluated based on immobility, wheelchair dependence, and assisted and independent walking. Immobility and wheelchair dependence were found to be risk factors for UI, MUI, and other UI types in the study participants, which is in accordance with earlier observations (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). The use of walking aids and activity training may reduce or prevent the occurrence of UI in the elderly (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>); thus, promoting walking ability may be effective in preventing UI in nursing home residents.</p>
<p>Constipation has been shown to increase the risk of UI in the elderly (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B32">32</xref>), which is consistent with our findings. The anatomy and angle of the urethra may be altered with chronic constipation, leading to problems such as overactive bladder (OAB), urinary retention, and UI (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>); conversely, treatment of constipation may prevent UI.</p>
<p>In contrast to a previous study (<xref ref-type="bibr" rid="B34">34</xref>), we found no relationship between diabetes and UI in older adults; however, diabetes can lead to glycosuria and has been shown to be associated with UUI risk in multiple models. In one study, diabetes was associated with increased urination frequency and urine volume and thereby exacerbated UI and OAB by osmotic diuresis (<xref ref-type="bibr" rid="B35">35</xref>). Thus, stabilizing blood glucose level is a potential strategy for preventing UUI.</p>
<p>A history of pelvic or spinal surgery was an independent risk factor for UI and two subtypes (SUI and UUI). Damage to nerves or connective tissues near or in the bladder can occur during surgery (<xref ref-type="bibr" rid="B29">29</xref>), and radical pelvic dissection can result in direct and indirect injury to the pelvic plexuses, resulting in SUI and UUI (<xref ref-type="bibr" rid="B36">36</xref>). UI prevalence was reported to be higher among patients who had undergone spinal surgery (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>Sedative hypnotic and antithrombotic drug use was identified as a determinant of MUI risk in our cohort. Insomnia is among the most common sleep disorders in the geriatric population (<xref ref-type="bibr" rid="B38">38</xref>), and the use of nighttime sedatives in this group may lead to nocturnal enuresis by inducing a deep sleep from which an individual fails to awaken in order to void (<xref ref-type="bibr" rid="B36">36</xref>). Antithrombotic drugs that inhibit platelet or coagulation factors are commonly prescribed drugs for preventing and treating cardiovascular disorder (<xref ref-type="bibr" rid="B39">39</xref>). Repeated low doses of aspirin can block arachidonic acid receptors and inhibit thromboxane A2 production by acetylating a serine residue near the narrow catalytic site of the cyclooxygenase (COX)-1 channel (<xref ref-type="bibr" rid="B40">40</xref>); and high doses of aspirin inhibit both COX-1 and COX-2, which have anti-inflammatory and analgesic effects (<xref ref-type="bibr" rid="B41">41</xref>). Oral aspirin potentially inhibits COX and decreases prostaglandin (PGE)2, a regulator of inflammation and metabolism (<xref ref-type="bibr" rid="B42">42</xref>) that acts through the G protein-coupled PGE2 receptors (EP) 1, EP2, EP3, and EP4. EP1 and EP3 activation in the detrusor muscle of the bladder induces muscle contraction, whereas EP4 activation causes muscle relaxation (<xref ref-type="bibr" rid="B43">43</xref>). Aspirin may target EP1, EP2, EP3, and EP4 to reduce bladder sphincter contraction and detrusor relaxation, leading to involuntary urine leakage, although the precise underlying mechanism remains to be determined.</p>
<p>Obesity was not a significant risk factor for UI in our cohort in the binary LR model, which is inconsistent with previous findings (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Obesity was previously reported as a risk factor for UI, although the observed trends are contradictory, with decreased SUI and increased MUI rates found to be associated with higher BMI (<xref ref-type="bibr" rid="B44">44</xref>). Older males with a reduction in strength but not increases in body or fat mass were linked to an increased frequency of UI (<xref ref-type="bibr" rid="B45">45</xref>). Changes in body composition including an increase and redistribution of fat mass occur in old age, and current BMI classification may not accurately reflect the associated physical risks in the elderly, who may require age-specific BMI cut-off points (<xref ref-type="bibr" rid="B46">46</xref>). Thus, BMI in itself should not be considered as an independent predictor of UI in the geriatric population but should be considered in the context of fat mass, muscle strength, or other indicators.</p>
</sec>
<sec sec-type="conclusions" id="s5">
<title>Conclusion</title>
<p>In this study, we found that distinct factors contribute to the risk of different UI subtypes. Our results indicate that care providers in nursing homes should pay particular attention to residents with a history of CVD and pelvic or spinal surgery who are at risk of UI and may benefit from the treatment of constipation, less time spent in bed, and active training in walking and muscle strengthening. Further study is needed into the relationship between the use of antithrombotic drugs and UI, and age-specific BMI cut-off points in the elderly population must be established to determine how these factors influence UI risk.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Medical Ethics Committee of Zhejiang Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>HTan and HTai designed the study. SL and HW performed the experiments. HTai wrote the manuscript and analyzed the data. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This work was supported by National key research and development plan named Research on the construction and evaluation of a comprehensive demonstration base for prevention and control of elderly syndrome (2020YFC2008606) and Nursing Research Fund of the Second Xiangya Hospital in 2018 (2018-YHL-33).</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 sec-type="disclaimer" id="s10">
<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> 
</body>
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