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ABSTRACT: Background
Patients with cardiovascular disease (CVD) often experience anxiety and depression. However, the central and bridge symptoms of anxiety and depression among patients with CVD remain unclear. Network analysis is a statistical method that can reveal and visualise complex relationships between multiple variables. This study aimed to identify the central and bridge symptoms in the anxiety-depression network, which may provide potential targets for preventing and intervening in anxiety and depression.Methods
A total of 1180 patients with CVD were selected from the Psychology and Behavior Investigation of Chinese Residents. The survey was conducted from July 10 to September 15, 2021. Face-to-face electronic questionnaires were distributed to respondents by the investig
SUBMITTER: Zhao Q
PROVIDER: S-EPMC11927245 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature