Zhang Jiahao, Chen Wanru, Tang Zhicheng, Lin Xuqing, Wan Xitong, Huang Shuqiang, Luo Hongcheng, Qian Yuxin, He Zhaohui, Tang Fucai
Department of Urology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, China.
The Third Clinical Medicine School of Guangzhou Medical University, Guangzhou, China.
Obes Facts. 2025 May 11:1-14. doi: 10.1159/000546104.
The association between obesity and wet overactive bladder (wet OAB) was few and was also inconsistent and controversial in sex differences. This study aimed to ascertain the specific association between obesity and wet OAB for females and males using five obesity measures.
This cross-sectional study included 29,041 participants from the 2005-2020 National Health and Nutrition Examination Survey database. The outcome was the risk of wet OAB. Five obesity measures were exposure using quintile, including body mass index (BMI), waist-to-stature ratio (WSR), body fat percentage (BFP), fat mass, and lean mass. The associations were elucidated using weighted logistic regression models and restricted cubic spline (RCS) analysis.
The elevated BMI, WSR, BFP, and fat mass were positively associated with the risk of wet OAB in both sexes, which was evident in females. Interestingly, lean mass was adversely associated with the risk of wet OAB in both sexes. In RCS analysis about BMI, WSR, BFP, and fat mass, monotonically increasing nonlinear associations were found in males, while positive linear associations were found in females. Besides, negative linear and nonlinear relationships were shown between lean mass and the risk of wet OAB in females and males, respectively.
Obesity was positively associated with the risk of wet OAB in both sexes. Controlling BMI, WSR, BFP, fat mass, and strengthening lean mass may help prevent the development of wet OAB.
肥胖与湿性膀胱过度活动症(湿性OAB)之间的关联较少,且在性别差异方面也不一致且存在争议。本研究旨在使用五种肥胖测量方法确定肥胖与女性和男性湿性OAB之间的具体关联。
这项横断面研究纳入了2005 - 2020年国家健康与营养检查调查数据库中的29,041名参与者。结局指标是湿性OAB的风险。使用五分位数将五种肥胖测量方法作为暴露因素,包括体重指数(BMI)、腰高比(WSR)、体脂百分比(BFP)、脂肪量和瘦体重。使用加权逻辑回归模型和受限立方样条(RCS)分析来阐明这些关联。
BMI、WSR、BFP和脂肪量升高与两性湿性OAB的风险呈正相关,在女性中更为明显。有趣的是,瘦体重与两性湿性OAB的风险呈负相关。在关于BMI、WSR、BFP和脂肪量的RCS分析中,男性中发现单调增加的非线性关联,而女性中发现正线性关联。此外,瘦体重与女性和男性湿性OAB风险之间分别呈现负线性和非线性关系。
肥胖与两性湿性OAB的风险呈正相关。控制BMI、WSR、BFP、脂肪量并增加瘦体重可能有助于预防湿性OAB的发生。