Trajectories network analysis of chronic diseases among middle-aged and older adults: evidence from the China Health and Retirement Longitudinal Study (CHARLS).

ABSTRACT:

Background

Given the increased risk of chronic diseases and comorbidity among middle-aged and older adults in China, it is pivotal to identify the disease trajectory of developing chronic multimorbidity and address the temporal correlation among chronic diseases.

Method

The data of 15895 participants from the China Health and Retirement Longitudinal Study (CHARLS 2011 - 2018) were analyzed in the current study. Binomial tests and the conditional logistic regression model were conducted to estimate the associations among 14 chronic diseases, and the disease trajectory network analysis was adopted to visualize the relationships.

Results

The analysis showed that hypertension is the most prevalent disease among the 14 chronic conditions, with the highest cumulative incide

SUBMITTER: Chen J 

PROVIDER: S-EPMC10882875 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature