Associations between sleep changes and multimorbidity patterns in middle-aged and older Chinese adults.

ABSTRACT:

Objective

This study aimed to identify multimorbidity patterns among Chinese middle-aged and older adults and examine their associations with prior changes and long-term trajectories in sleep duration.

Methods

Data from 9,747 participants in the 2011 and 2020 waves of the China Health and Retirement Longitudinal Study were analyzed. Sleep duration was self-reported in 2011 and 2020 while chronic conditions were self-reported in 2020. Latent class analysis identified multimorbidity patterns. Logistic and multinomial logistic regression was used to analyze associations of sleep duration changes and trajectories with multimorbidity and multimorbidity patterns.

Results

Five multimorbidity patterns were identified: relatively healthy class (55.41%), metabolism class (23.22

SUBMITTER: Yin S 

PROVIDER: S-EPMC12440773 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature