Identifying Adolescents at Risk for Depression: A Prediction Score Performance in Cohorts Based in Three Different Continents

Prediction models have become frequent in the medical literature, but most published studies are conducted in a single setting. Heterogeneity between development and validation samples has been posited as a major obstacle for the generalization of models. We aimed to develop a multivariable prognostic model using sociodemographic variables easily obtainable from adolescents at age 15 to predict a depressive disorder diagnosis at age 18, and to evaluate its generalizability in two samples from diverse socioeconomic and cultural settings.

Source: Journal of the American Academy of Child and Adolescent Psychiatry - January 13, 2020 Category: Psychiatry Authors: Thiago Botter-Maio Rocha, Helen L. Fisher, Arthur Caye, Luciana Anselmi, Louise Arseneault, Fernando C. Barros, Avshalom Caspi, Andrea Danese, Helen Gon çalves, HonaLee Harrington, Renate Houts, Ana M.B. Menezes, Terrie E. Moffitt, Valeria Mondelli, Rich Tags: New Research Source Type: research