Network analysis of depressive and anxiety symptoms in older Chinese adults with diabetes mellitus.

ABSTRACT:

Background

The move away from investigating mental disorders as whole using sum scores to the analysis of symptom-level interactions using network analysis has provided new insights into comorbidities. The current study explored the dynamic interactions between depressive and anxiety symptoms in older Chinese adults with diabetes mellitus (DM) and identified central and bridge symptoms in the depression-anxiety network to provide potential targets for prevention and intervention for depression and anxiety.

Methods

This study used a cross-sectional design with data from the 2017-2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). A regularized partial correlation network for depressive and anxiety symptoms was estimated based on self-reported scales comple

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC10859512 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature