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 indicators for screening for CircS in middle-aged. Binary logistic regression analysis was performed to analyze the correlations between 11 obesity-related indices and CircS as well as its components.

Results

A total of 9265 middle-aged and older people were included in this study, and the CircS prevalence was 35.60 %. The percentage of males diagnosed with CircS was 25.99 %, and the females was 44.08 %. In males, CMI had the highest AUC. In females, CVAI was the best predictor. Logistic analysis revealed all obesity-related indices were significantly associated with CircS in both males and females (all P < 0.001), and the correlations were stronger in females than in males.

Conclusion

All 11 obesity-related indices had good predictive power, with CMI and CVAI performing as the best predictor, and ABSI was the weakest predictor in males and females, respectively. In addition, the associations among all obesity-related indices and CircS were stronger in females than in males.