Network analysis of chronic disease among middle-aged and older adults in China: a nationwide survey.

ABSTRACT:

Background

Given the rising prevalence of chronic diseases and multimorbidity among middle-aged and older individuals in China, it is crucial to explore the patterns of chronic disease multimorbidity and uncover the underlying mechanisms driving the co-existence of multiple chronic conditions.

Methods

This study analyzed data from 19,206 participants in the China Health and Retirement Longitudinal Study (CHARLS 2018). The IsingFit model was used to build the chronic disease co-morbidity network, where nodes represented diseases and edges reflected conditionally independent partial correlations. Community detection identified groups of closely related diseases using the Louvain algorithm. Multivariable linear regression with forward stepwise selection explored factors influen

SUBMITTER: Chen C 

PROVIDER: S-EPMC12016668 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature