A network model of depressive and anxiety symptoms: a statistical evaluation.

ABSTRACT:

Background

Although network analysis studies of psychiatric syndromes have increased in recent years, most have emphasized centrality symptoms and robust edges. Broadening the focus to include bridge symptoms within a systematic review could help to elucidate symptoms having the strongest links in network models of psychiatric syndromes. We conducted this systematic review and statistical evaluation of network analyses on depressive and anxiety symptoms to identify the most central symptoms and bridge symptoms, as well as the most robust edge indices of networks.

Methods

A systematic literature search was performed in PubMed, PsycINFO, Web of Science, and EMBASE databases from their inception to May 25, 2022. To determine the most influential symptoms and connections, we ana

SUBMITTER: Cai H 

PROVIDER: S-EPMC11153039 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature