Du Yuan-Zhuo, Hu Hong-Ji, Yang Jia-Qing, Yuan Qian, Huang Rong, Dong Qian-Xi, Guo Biao, Cao Ying, Guo Ju
Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Key Laboratory of Urinary System Diseases of Jiangxi Province, Nanchang, China.
J Health Popul Nutr. 2024 Dec 24;43(1):226. doi: 10.1186/s41043-024-00725-x.
The link between regional body fat distribution and overactive bladder (OAB) in prior epidemiological research has been uncertain. Our objective is to assess the relationship between increased regional body fat and the prevalence of OAB.
Within this analysis, 8,084 individuals aged 20 years and older were selected from NHANES surveys conducted from 2011 to 2018. The evaluation of OAB symptoms utilized the overactive bladder symptom score (OABSS). Fat mass (FM) across various regions was quantified employing dual-energy X-ray absorptiometry, which assessed total FM, trunk FM, arm FM, and leg FM. The fat mass index (FMI) was calculated as the ratio of fat mass (kg) to the square of height (meters). Data weighting was performed in accordance with analysis guidelines. A linear logistic regression model was employed to assess the correlation between regional FMI and the occurrence of OAB. Stratified analyses were also conducted.
The study found significant associations between total FMI and limb FMI with OAB. After adjusting for all variables in the analysis, higher total FMI (OR = 1.07, 95% CI = 1.02-1.12) was linked to an increased risk of OAB. Trunk FMI (OR = 1.12, 95% CI = 1.03-1.22), arm FMI (OR = 1.59, 95% CI = 1.20-2.10), and leg FMI (OR = 1.12, 95% CI = 1.01-1.25) demonstrated significant correlations with OAB. The weighted associations between total FMI and limb FMI with OAB incidence showed no significant differences among most subgroups.
The data indicates a correlation between higher regional FMI and increased OAB risk across different populations.
在先前的流行病学研究中，局部体脂分布与膀胱过度活动症（OAB）之间的联系尚不确定。我们的目的是评估局部体脂增加与OAB患病率之间的关系。
在本次分析中，从2011年至2018年进行的美国国家健康与营养检查调查（NHANES）中选取了8084名20岁及以上的个体。OAB症状评估采用膀胱过度活动症症状评分（OABSS）。使用双能X线吸收法对各个区域的脂肪量（FM）进行量化，该方法评估了总FM、躯干FM、手臂FM和腿部FM。脂肪量指数（FMI）计算为脂肪量（千克）与身高（米）平方的比值。根据分析指南进行数据加权。采用线性逻辑回归模型评估局部FMI与OAB发生之间的相关性。还进行了分层分析。
研究发现总FMI和肢体FMI与OAB之间存在显著关联。在分析中对所有变量进行调整后，较高的总FMI（OR = 1.07，95%CI = 1.02 - 1.12）与OAB风险增加相关。躯干FMI（OR = 1.12，95%CI = 1.03 - 1.22）、手臂FMI（OR = 1.59，95%CI = 1.20 - 2.10）和腿部FMI（OR = 1.12，95%CI = 1.01 - 1.25）与OAB表现出显著相关性。总FMI和肢体FMI与OAB发病率之间的加权关联在大多数亚组中无显著差异。
数据表明不同人群中较高的局部FMI与OAB风险增加之间存在相关性。
