The analysis of network structure among the depressive symptoms in a clinical sample of children and adolescents

Abstract

The symptoms of depressive disorder in children and adolescents vary widely and have complex interconnections with each other. This study aimed to identify the network structures among individual depressive symptoms in clinically referred children and adolescents. A total of 464 children and adolescents who visited the outpatient psychiatry clinic in South Korea were enrolled. The Children's Depression Inventory (CDI) was used to assess depressive symptoms. To construct the network structure and estimate the centrality indices among individual symptoms, the Gaussian graphical model was utilized with the tuning parameter to minimize the extended Bayesian information criterion. Among all symptoms, self-hatred had the highest strength centrality, followed by crying and self-deprecation. Among 191 valid edges constituting the CDI symptom network, sadness-crying, school work difficulty-school performance decrement, disobedience-fights, misbehavior-low self-esteem, self-deprecation-self-blame, school dislike-lack of friendship, self-hatred-negative body image, anhedonia-social withdrawal, self-hatred-suicidal ideation, crying-irritability, and sadness-loneliness showed significantly higher weights than the other edges. The present study identified the network structure among depressive symptoms in children and adolescents. Future studies including more symptoms of depression are warranted to provide insights into the underlying mechanisms of child and adolescent depression.