Latham RM, Kieling C, Arseneault L, et al. - A recently developed multivariable model to predict adolescents’ individual risk of future major depressive disorder (MDD) did not perform well in a UK sample. As the etiology of depression is reported to potentially involve the role of air pollution, researchers examined if inclusion of childhood exposure to air pollution as an additional predictor in the risk prediction model could lead to an improvement in identifying UK adolescents who are at greatest risk for developing MDD. The Environmental Risk (E-Risk) Longitudinal Twin Study, a nationally representative UK birth cohort of 2,232 children followed to age 18 with 93% retention was the source for the data. Estimation of annual exposure to four pollutants – nitrogen dioxide (NO2), nitrogen oxides (NO_X), particulate matter < 2.5μm (PM _2.5 ) and < 10μm (PM ₁₀) – was done at address-level when children were aged 10. Interviews were conducted to assess MDD at age 18. Analyses suggest that childhood ambient air pollution exposure plays a potential role in the development of adolescent MDD. The risk of developing MDD was elevated most for participants with the highest (top quartile) level of annual exposure to NO_X and PM _2.5 . However, improvement in model specificity but not sensitivity was observed with addition of high NO_X and PM _2.5 exposure. They suggest a possible necessity for inclusion of other risk factors to improve prediction of adolescent depression.