Using Network Analysis to Identify Central Symptoms of Adolescent Depression.

ABSTRACT: Experiencing depression symptoms, even at mild to moderate levels, is associated with maladaptive outcomes for adolescents. We used network analysis to evaluate which symptoms (and associations between symptoms) are most central to adolescent depression. Participants were part of a large, diverse community sample (N = 1,409) of adolescents between 13 and 19 years of age. Network analysis was used to identify the most central symptoms (nodes) and associations between symptoms (edges) assessed by the Children's Depression Inventory. We also evaluated these centrality indicators for network robustness using stability and accuracy tests, associated symptom centrality with mean levels of symptoms, and examined potential differences between the structure and connectivity of depression networks i

SUBMITTER: Mullarkey MC 

PROVIDER: S-EPMC6535368 | biostudies-literature | 2019 Jul-Aug

REPOSITORIES: biostudies-literature