Sex differences in the prediction of metabolic abnormalities via body mass index in an Eastern Chinese population.

ABSTRACT:

Objective

Body mass index (BMI) is important for predicting the occurrence of metabolic abnormality, but sex differences exist. We aimed to investigate potential sex differences in the predictive value of BMI for metabolic abnormality and to calculate the optimal BMI cut-offs for predicting metabolic abnormality for each sex.

Methods

Participants (n = 4,623) who attended a health check-up centre continuously in Eastern China between January 2022 and December 2023 were evaluated for metabolic abnormalities. We calculated the proportions of different metabolic abnormalities in different sexes. Receiver operating characteristic (ROC) curves were calculated to determine the optimal BMI cut-off values for predicting metabolic abnormality in males and females. The recogniti

SUBMITTER: Gao Y 

PROVIDER: S-EPMC11896866 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature