Sociodemographic and clinical predictors of depression in children and adolescents: results of a two-year follow-up study

Styss, N; Michel, Chantal; Osman, N; Walger, P; Franscini, M; Traber-Walker, N; Schimmelmann, Benno; Flückiger, Rahel; Romanos, M; Meisenzahl, E; Romer, G; Schulte-Körne, G; Greimel, E; Schultze-Lutter, Frauke (2023). Sociodemographic and clinical predictors of depression in children and adolescents: results of a two-year follow-up study (In Press). European child & adolescent psychiatry Springer 10.21203/rs.3.rs-3611793/v1

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Depressive disorders are a main cause of disability-adjusted life years already in children and adolescents, in whom the clinical picture somewhat differs from adult-onset depression. Thus, we studied sociodemographic and clinical predictors of depression/dysthymia in a sample of minors. Our baseline sample (N=676) included patients at clinical high-risk for psychosis (CHR-P, n=183), inpatients admitted for non-psychotic, non-affective disorders (n=277), and community participants (n=216) of age 7.0 to 17.9 years (43.8% male). They were assessed by clinical psychologists for mental disorders and symptoms with various clinical interviews including the Mini International Neuropsychiatric Interview for Children and Adolescents, which was also used to assess depression/dysthymia in the CHR-P group at 1- and 2-year-follow up (n=117 and 73, respectively). Analyses followed a stepwise procedure at baseline with stepwise logistic regression analyses to identify the final baseline model that was tested in the follow-up samples. The final cross-sectional model included nationality and 13 clinical variables Mild depressive symptoms in particular played a decisive role here. Variables contributing significantly to the prediction varied over time, indicating that CAD depression/dysthymia may require different predictors depending on the follow-up time. Furthermore, the prospective accuracy of ruling out depression/dysthymia was superior to the accuracy of ruling it in. This lower positive likelihood ratio might be overcome in future by stepwise approaches that further stratify risk in those initially identified as at increased risk of depression/dysthymia.

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