Wang Junwei, Zhang Cunming, Zhang Aiwei
Department of Urology, The Affiliated Wenling Hospital of Taizhou University, The First People's Hospital of Wenling), Taizhou, Zhejiang, China.
Department of Ultrasound, The Affiliated Wenling Hospital of Taizhou University, The First People's Hospital of Wenling), Taizhou, Zhejiang, China.
Biol Trace Elem Res. 2024 Nov 7. doi: 10.1007/s12011-024-04445-5.
The purpose of this study is to investigate whether blood lead levels influence the risk of urgency urinary incontinence (UUI) in adult females. This study utilized data from the National Health and Nutrition Examination Survey from 2005 to 2020, involving 9509 adult women aged 20 and older. The effect of blood lead levels on UUI was assessed using weighted multivariate logistic regression models. Additionally, the relationship between the two was illustrated using restricted cubic splines. Stratified analyses based on covariate categories were used to explore if factors influenced the relationship between blood lead levels and UUI. Adjusted multivariate logistic regression analysis indicated that for each unit increase in blood lead levels, the risk of UUI increased by 10% (OR = 1.10; 95% CI, 1.02-1.17; P = 0.01). After categorizing blood lead levels into weighted tertiles, compared to the first tertile, the third tertile increased the risk of UUI by 1.34 times in Model 1 (OR = 1.34; 95% CI, 1.13-1.59; P < 0.001). A restricted cubic spline analysis demonstrated a nonlinear relationship between blood lead levels and UUI (P for nonlinearity = 0.016). Stratified analysis revealed that baseline characteristics such as age, BMI, and PIR did not have an impact on the association between blood lead levels and UUI. This study demonstrated a close association between the risk of blood lead levels and UUI in adult women aged 20 and above. High blood lead levels were found to increase the risk of UUI.
本研究的目的是调查血铅水平是否会影响成年女性急迫性尿失禁（UUI）的风险。本研究使用了2005年至2020年国家健康和营养检查调查的数据，涉及9509名20岁及以上的成年女性。使用加权多变量逻辑回归模型评估血铅水平对UUI的影响。此外，使用受限立方样条来阐述两者之间的关系。基于协变量类别的分层分析用于探讨是否有因素影响血铅水平与UUI之间的关系。调整后的多变量逻辑回归分析表明，血铅水平每增加一个单位，UUI的风险增加10%（OR = 1.10；95% CI，1.02 - 1.17；P = 0.01）。将血铅水平分为加权三分位数后，与第一个三分位数相比，在模型1中第三个三分位数使UUI的风险增加了1.34倍（OR = 1.34；95% CI，1.13 - 1.59；P < 0.001）。受限立方样条分析表明血铅水平与UUI之间存在非线性关系（非线性P值 = 0.016）。分层分析显示，年龄、BMI和PIR等基线特征对血铅水平与UUI之间的关联没有影响。本研究表明，20岁及以上成年女性的血铅水平风险与UUI之间存在密切关联。发现高血铅水平会增加UUI的风险。
