Liu Jinyu, Weng Kangqiang, Lin Guowei, Tang Huaiding, Xie Jianbing, Li Lixian
Department of Urology, The Affiliated Hospital of Putian University, Putian, China.
Front Nutr. 2025 Jun 18;12:1606089. doi: 10.3389/fnut.2025.1606089. eCollection 2025.
This study aimed to investigate the relationship between the appendicular skeletal muscle index (ASMI) and Urge urinary incontinence (UUI) in a large cohort of adult women.
This study utilized data from the National Health and Nutrition Examination Survey during the periods of 2001-2006 and 2011-2018. ASMI was identified as the exposure factor. UUI was the outcome variable. We first compared the baseline characteristics of individuals with and without UUI. The effect of ASMI on UUI was assessed using weighted multivariate logistic regression models. Additionally, the relationship between the two was illustrated using restricted cubic splines.
A total of 19,009 women aged 20 and above participated in this study, with 5,960 diagnosed with UUI and 13,049 not affected. The results of the adjusted multivariate logistic regression analysis showed a significant inverse relationship between ASMI and the probability of UUI. Specifically, with every one-unit rise in ASMI, the likelihood of UUI diminished by 69% in the fully adjusted model (OR = 0.31; 95% CI: 0.12-0.82; = 0.02). Furthermore, participants falling within the highest ASMI quartile showed a 28% reduction in UUI risk relative to those in the lowest quartile (OR = 0.72; 95% CI: 0.55-0.94; = 0.02). A restricted cubic spline analysis demonstrated a nonlinear relationship between ASMI and UUI ( for nonlinearity = 0.02). Subgroup analyses suggested that various demographic and health factors did not significantly alter this association.
The ASMI was significantly negatively correlated with the risk of UUI, suggesting that an increase in ASMI may have been associated with a lower risk of UUI.
本研究旨在调查成年女性大样本队列中四肢骨骼肌指数(ASMI)与急迫性尿失禁(UUI)之间的关系。
本研究使用了2001 - 2006年和2011 - 2018年期间美国国家健康与营养检查调查的数据。ASMI被确定为暴露因素。UUI为结果变量。我们首先比较了有和没有UUI的个体的基线特征。使用加权多变量逻辑回归模型评估ASMI对UUI的影响。此外,使用受限立方样条说明了两者之间的关系。
共有19009名20岁及以上的女性参与了本研究,其中5960人被诊断为UUI,13049人未受影响。调整后的多变量逻辑回归分析结果显示,ASMI与UUI发生概率之间存在显著的负相关关系。具体而言,在完全调整模型中,ASMI每增加一个单位,UUI的发生可能性降低69%(OR = 0.31;95%CI:0.12 - 0.82;P = 0.02)。此外,与最低四分位数组相比,处于最高ASMI四分位数组的参与者UUI风险降低了28%(OR = 0.72;95%CI:0.55 - 0.94;P = 0.02)。受限立方样条分析表明ASMI与UUI之间存在非线性关系(非线性检验P = 0.02)。亚组分析表明,各种人口统计学和健康因素并未显著改变这种关联。
ASMI与UUI风险显著负相关,提示ASMI增加可能与UUI风险降低有关。