Ontology highlight
ABSTRACT: Aim
Identifying predictors for future onset of depression is crucial to effectively developing preventive interventions. We conducted a systematic review and meta-analysis to identify risk factors for first-onset depression among adolescents and young people.Methods
We searched MEDLINE (Ovid), PsycINFO, Cochrane Database, Web of Science, Lilacs, African Journals Online and Global Health (July 2009 to December 2020) for longitudinal studies assessing risk factors for first-onset depression among adolescents and young people aged 10-25 years. Meta-analyses generated summary odds ratio (OR) estimates.Registration
PROSPERO CRD42018103973.Results
Nineteen studies representing 21 unique populations were included in the meta-analysis. Among studies reporting race/e
SUBMITTER: Pedersen GA
PROVIDER: S-EPMC10084304 | biostudies-literature | 2023 Jan
REPOSITORIES: biostudies-literature