Huiwen Hu, Bin Yu, Mei Xiang, Ziyi Guo, Huihui Wang, Li Wang
{"title":"妊娠期糖尿病史与女性尿漏风险的关系:一项横断面研究","authors":"Huiwen Hu, Bin Yu, Mei Xiang, Ziyi Guo, Huihui Wang, Li Wang","doi":"10.1002/hsr2.71243","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background and Aims</h3>\n \n <p>Gestational diabetes mellitus (GDM) and urinary leakage (UL) are common health issues affecting women. While certain adverse effects of GDM are known risk factors for UL, the direct association between GDM and UL remains underexplored. This study aims to investigate this relationship.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Data from 13,417 women in the National Health and Nutrition Examination Survey (NHANES) (2007–2020) were analyzed. Multivariate logistic regression models were used to explore the association between GDM and UL. Stratified and subgroup analyses, adjusted for confounding factors, and mediation analysis were conducted to investigate potential mediators.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>GDM is associated with an increased risk of UL. According to the multivariate logistic regression model, the unadjusted analysis showed that women with a history of GDM faced a 20.0% higher risk of UL (OR = 1.20, 95% CI 1.05–1.37, <i>p</i> < 0.01). After adjusting for confounding factors such as age, body mass index (BMI), and white blood cell (WBC) counts, the association remained robust, with an OR of 1.32 (95% CI 1.16–1.53, <i>p</i> < 0.001). This association was especially pronounced among women who smoked, were aged below 30 or above 35 years, had a poverty ratio less than 5, and exhibited WBC counts below 1000 cells/μL. Additionally, age, BMI, WBC, and systemic inflammation index (SII) were all positively linked to the severity of UL, with older age, higher BMI, greater WBC counts, and elevated SII levels corresponding to more severe UL in women. Mediation analysis revealed that both BMI and WBC count partially mediated the relationship between GDM and UL. Furthermore, after covariate adjustment, a nonlinear positive relationship was observed, with the inflection point for BMI occurring at 34.88.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Based on our results, we conclude that women diagnosed with GDM elevate the risk of UL, and BMI, WBC count appear to serve as mediators in this association.</p>\n </section>\n </div>","PeriodicalId":36518,"journal":{"name":"Health Science Reports","volume":"8 9","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hsr2.71243","citationCount":"0","resultStr":"{\"title\":\"Association Between History of Gestational Diabetes Mellitus and the Risk of Urinary Leakage in Women: A Cross-Sectional Study\",\"authors\":\"Huiwen Hu, Bin Yu, Mei Xiang, Ziyi Guo, Huihui Wang, Li Wang\",\"doi\":\"10.1002/hsr2.71243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background and Aims</h3>\\n \\n <p>Gestational diabetes mellitus (GDM) and urinary leakage (UL) are common health issues affecting women. While certain adverse effects of GDM are known risk factors for UL, the direct association between GDM and UL remains underexplored. This study aims to investigate this relationship.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Data from 13,417 women in the National Health and Nutrition Examination Survey (NHANES) (2007–2020) were analyzed. Multivariate logistic regression models were used to explore the association between GDM and UL. Stratified and subgroup analyses, adjusted for confounding factors, and mediation analysis were conducted to investigate potential mediators.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>GDM is associated with an increased risk of UL. According to the multivariate logistic regression model, the unadjusted analysis showed that women with a history of GDM faced a 20.0% higher risk of UL (OR = 1.20, 95% CI 1.05–1.37, <i>p</i> < 0.01). After adjusting for confounding factors such as age, body mass index (BMI), and white blood cell (WBC) counts, the association remained robust, with an OR of 1.32 (95% CI 1.16–1.53, <i>p</i> < 0.001). This association was especially pronounced among women who smoked, were aged below 30 or above 35 years, had a poverty ratio less than 5, and exhibited WBC counts below 1000 cells/μL. Additionally, age, BMI, WBC, and systemic inflammation index (SII) were all positively linked to the severity of UL, with older age, higher BMI, greater WBC counts, and elevated SII levels corresponding to more severe UL in women. Mediation analysis revealed that both BMI and WBC count partially mediated the relationship between GDM and UL. 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引用次数: 0
摘要
背景与目的妊娠期糖尿病(GDM)和尿漏(UL)是影响妇女的常见健康问题。虽然已知GDM的某些不良反应是UL的危险因素,但GDM和UL之间的直接联系仍未得到充分探讨。本研究旨在探讨这种关系。方法分析2007-2020年全国健康与营养检查调查(NHANES) 13417名妇女的数据。采用多元逻辑回归模型探讨GDM与UL之间的关系。进行分层和亚组分析、校正混杂因素和中介分析,以调查潜在的中介因素。结果GDM与UL风险增加相关。根据多因素logistic回归模型,未经调整的分析显示,有GDM病史的女性患UL的风险高出20.0% (OR = 1.20, 95% CI 1.05-1.37, p < 0.01)。在调整了年龄、身体质量指数(BMI)和白细胞(WBC)计数等混杂因素后,相关性仍然很强,OR为1.32 (95% CI 1.16-1.53, p < 0.001)。这种关联在吸烟、年龄在30岁以下或35岁以上、贫困率小于5、白细胞计数低于1000细胞/μL的女性中尤为明显。此外,年龄、BMI、WBC和全身炎症指数(SII)都与UL的严重程度呈正相关,年龄越大、BMI越高、WBC计数越高、SII水平升高与女性更严重的UL相对应。中介分析显示BMI和WBC计数在GDM和UL之间的关系中起部分中介作用。此外,协变量调整后,观察到非线性正相关,BMI的拐点出现在34.88。根据我们的研究结果,我们得出结论,诊断为GDM的女性增加了UL的风险,而BMI, WBC计数似乎是这种关联的中介。
Association Between History of Gestational Diabetes Mellitus and the Risk of Urinary Leakage in Women: A Cross-Sectional Study
Background and Aims
Gestational diabetes mellitus (GDM) and urinary leakage (UL) are common health issues affecting women. While certain adverse effects of GDM are known risk factors for UL, the direct association between GDM and UL remains underexplored. This study aims to investigate this relationship.
Methods
Data from 13,417 women in the National Health and Nutrition Examination Survey (NHANES) (2007–2020) were analyzed. Multivariate logistic regression models were used to explore the association between GDM and UL. Stratified and subgroup analyses, adjusted for confounding factors, and mediation analysis were conducted to investigate potential mediators.
Results
GDM is associated with an increased risk of UL. According to the multivariate logistic regression model, the unadjusted analysis showed that women with a history of GDM faced a 20.0% higher risk of UL (OR = 1.20, 95% CI 1.05–1.37, p < 0.01). After adjusting for confounding factors such as age, body mass index (BMI), and white blood cell (WBC) counts, the association remained robust, with an OR of 1.32 (95% CI 1.16–1.53, p < 0.001). This association was especially pronounced among women who smoked, were aged below 30 or above 35 years, had a poverty ratio less than 5, and exhibited WBC counts below 1000 cells/μL. Additionally, age, BMI, WBC, and systemic inflammation index (SII) were all positively linked to the severity of UL, with older age, higher BMI, greater WBC counts, and elevated SII levels corresponding to more severe UL in women. Mediation analysis revealed that both BMI and WBC count partially mediated the relationship between GDM and UL. Furthermore, after covariate adjustment, a nonlinear positive relationship was observed, with the inflection point for BMI occurring at 34.88.
Conclusions
Based on our results, we conclude that women diagnosed with GDM elevate the risk of UL, and BMI, WBC count appear to serve as mediators in this association.