A network analysis of adolescent depressive disorders and multiple psycho-behavioural problems
Objective To construct a network of depressive disorders and multiple psycho-behavioural problems in ado-lescents,so as to identify core symptoms and infer potential causal associations.Methods A total of 320 adolescents diagnosed with depressive disorders were assessed using the children's depression inventory,the young internet addiction scale,the social avoidance and distress questionnaire,and the pittsburgh sleep quality index.Undirected network analy-sis was used to identify the most relevant connections between symptoms.Bayesian network analysis was used to esti-mate a directed acyclic graph and infer the likely direction of causal associations.Results The network analysis revealed that withdrawal&social problems and negative mood were central symptoms in adolescent depressive disorders and psycho-behavioural problems.Sleep disorders were recognized as having the highest bridging effect between symp-toms.The strongest associations were found between depressive symptoms,particularly anhedonia and sleep disturb-ances.In the Bayesian network model,negative mood serves as a pivotal symptom,significantly influencing a range of psycho-behavioural problems.Symptoms such as ineffectiveness and interpersonal problems were more reactive,posi-tioned at the network's periphery,and influenced by other central symptoms.Conclusion Negative mood is a key symptom in adolescent depressive disorders and psycho-behavioural problems,and it can easily trigger various psycho-logical and behavioural problems in adolescents.Targeting negative mood in interventions may help mitigate the devel-opment of these related issues.
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