1.61 IDENTIFYING ADOLESCENTS AT RISK FOR MDD: DEVELOPMENT OF A COMPOSITE PREDICTION RISK SCORE

Abstract

Prediction of MDD, the leading cause of mental health-related disease burden globally, is still in its early stages, as identification of at-risk individuals currently relies mainly on individual risk factors. This study aims to develop a multivariable predictive model for MDD using sociodemographic variables in a sample group of adolescents from a middle-income country with no evidence of previous depression.