Symptom network analysis definition2/20/2023 ![]() Results: The most central symptoms in the network were self-hatred, loneliness, sadness, and pessimism. 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 in boys and girls. Network analysis was used to identify the most central symptoms (nodes) and associations between symptoms (edges) assessed by the Children’s Depression Inventory (CDI). Method: Participants were part of a large, diverse community sample (N = 1,409) of adolescents between the ages of 13-19 years old. We used network analysis to evaluate which symptoms (and associations between symptoms) are most central to adolescent depression. Objective: Experiencing depression symptoms, even at mild to moderate levels, is associated with maladaptive outcomes for adolescents. ![]()
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