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Dataset Information

Predicting circadian syndrome by obesity indices in middle-aged and older Chinese: evidence from the China Health and Retirement Longitudinal Study.


ABSTRACT:

Objective

To predict the optimal cut-off values for screening and predicting circadian syndrome (CircS) in a middle-aged and older population using 11 obesity-related indices.

Methods

Data was obtained from the China Health and Retirement Longitudinal Study (CHARLS) database, including 9265 middle-aged and older people. We examined 11 indices, including waist circumference (WC), body mass index (BMI), waist-height ratio (WHtR), visceral adiposity index (VAI), a body shape index (ABSI), body roundness index (BRI), lipid accumulation product index (LAP), conicity index (CI), Chinese visceral adiposity index (CVAI), weight-adjusted-waist index (WWI), and cardiometabolic index (CMI). The receiver operating characteristic curve (ROC) was used to determine the usefulness of indica

SUBMITTER: Liu N 

PROVIDER: S-EPMC12273439 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature