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ABSTRACT: Background
Globally, depressive disorders are one of the most common forms of mental illness. Using data from the most recent Global Burden of Disease, Injury, and Risk Factor Study 2016 (GBD 2016), we aimed to describe the burden of disease attributable to depressive disorders in terms of prevalence and disability-adjusted life years (DALYs) in South Asia countries (namely India, Pakistan, Bangladesh, Nepal and Bhutan).Methods
GBD 2016 used epidemiological data on depressive disorders (major depression and dysthymia) from South Asia and a Bayesian meta-regression tool (DisMod-MR 2.1) to model prevalence and DALYs of depressive disorders by age, sex, country and year. DALYs were calculated from the years lived with disability (YLDs), derived from the prevalence of depressiv
SUBMITTER: Ogbo FA
PROVIDER: S-EPMC6192293 | biostudies-literature | 2018 Oct
REPOSITORIES: biostudies-literature