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ABSTRACT: Background
Kidney stones represent a prevalent urinary tract condition frequently observed in individuals with metabolic disturbances. The Zhejiang University (ZJU) Index, a composite metabolic indicator, has been proposed for metabolic evaluation; however, its connection with the occurrence of kidney stones has yet to be thoroughly investigated.Methods
This cross-sectional analysis utilized data from the 2007-2018 National Health and Nutrition Examination Survey (NHANES) to explore the association between the ZJU Index and kidney stone status. Multivariate logistic regression models were employed to estimate independent associations. Restricted cubic spline (RCS) and segmented regression methods were applied to characterize potential nonlinear trends. Robustness of finding
SUBMITTER: Zhong S
PROVIDER: S-EPMC12924611 | biostudies-literature | 2026 Jan
REPOSITORIES: biostudies-literature