Clustering unhealthy lifestyle factors in Chinese children and adolescents with overweight or obesity.

ABSTRACT:

Background

This study used latent class analysis (LCA) to examine the potential patterns of unhealthy lifestyle factors (ULFs) and their association with overweight and obesity in children and adolescents with overweight or obesity in China.

Methods

We conducted three cross-sectional surveys, recruiting 7,927 children with obesity or overweight from September 2019 to January 2022. We used LCA to identify patterns of co-occurrence of ULFs based on seven types of behaviors. Multinomial logistic regression model was constructed to examine the association of fetal and neonatal factors with the clusters of ULFs.

Results

Of 7,927 participants, 7,627 (96.78%) had at least one ULF, and 6,942 (87.57%) had two or more ULFs concurrently. Using LCA, four distinct clusters were id

SUBMITTER: Wang Q 

PROVIDER: S-EPMC11931837 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature