Background: The association between different anthropometric indices, including body mass index (BMI), a body shape index (ABSI), lipid accumulation product (LAP), visceral adiposity index (VAI), waist circumference-triglyceride index (WTI), weight-adjusted waist index (WWI), body roundness index (BRI) and the prevalence of overactive bladder (OAB) is unclear. This investigation aims to explore the association among different anthropometric indices and overactive bladder as well as confounding variables.
Methods: Data were obtained from the USA National Health and Nutrition Examination Survey (NHANES) data set between 2005 and 2018, and 15231 participants were included in the study. Multivariable logistic regression was used to investigate the correlation among anthropometric indices mentioned in our study and overactive bladder. Subgroup analyses, smooth curve fitting and area under curve (AUC curve) were also performed.
Results: There was a positive correlation between BMI, LAP, WTI, WWI, BRI and overactive bladder. The results were significant even after taking into account every covariate (p < 0.05). Fitting smooth curves demonstrated that when anthropometric indices were used as a predictor to predict the occurrence of OAB, the probability of female patients suffering from OAB was higher than that of male patients. Additionally, WWI had better predictive power (AUC = 0.6780) and VAI had the worst predictive power (AUC = 0.5558).
Conclusion: Our results suggest a substantial positive relationship between some of the anthropometric indices, including BMI, LAP, WTI, WWI, BRI, and overactive bladder.
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