Influencing factors of depressive symptoms in middle-aged and elderly people and its regional differences in china: a study based on Bayesian network model.

ABSTRACT:

Background

This study aims to explore the influencing factors and regional differences in the presence of depressive symptoms (DS) among middle-aged and elderly people in China, as well as to explore the network relationship among the influencing factors by constructing Bayesian networks (BNs) model.

Methods

A total of 3582 respondents were included using China Health and Retirement Longitudinal Study (CHARLS) 2020 data. Logistic regression analysis was used to screen for variables related to DS. And the intricate conditional dependencies were visualized by BNs. Differences in the spatial distribution of DS were visualized by a geographic information system.

Results

During the COVID-19 epidemic, the prevalence of DS in China was 46.5%. The high prevalence areas of DS

SUBMITTER: Gong XY 

PROVIDER: S-EPMC12619378 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature