Multimorbidity patterns and associated factors in older Chinese: results from the China health and retirement longitudinal study.

ABSTRACT:

Background

This study aimed to investigate multimorbidity patterns and their associated factors among elderly population in China.

Methods

A total of 10,479 participants aged at least 60 years were drawn from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS). Latent class analysis (LCA) was performed to identify distinct multimorbidity classes based on 14 self-reported chronic conditions. The multinomial logit model was used to analyze the associated factors of multimorbidity patterns, focusing on individuals' demographic characteristics, socioeconomic status (SES), and health behaviors.

Results

Among the 10,479 participants (mean age [SD]: 69.1 [7.1]), 65.6% were identified with multimorbidity. Five multimorbidity clusters were identified b

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC9158229 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature