Ontology highlight
ABSTRACT: Background
Depression is a major cause of disability worldwide. Recent data suggest that, in industrialised countries, the prevalence of depression peaks in middle age. Identifying factors predictive of future depressive episodes is crucial for developing prevention strategies for this age group.Aims
We aimed to identify future depression in middle-aged adults with no previous psychiatric history.Method
To predict a diagnosis of depression 1 year or more following a comprehensive baseline assessment, we used a data-driven, machine-learning methodology. Our data-set was the UK Biobank of middle-aged participants (N = 245 036) with no psychiatric history.Results
Overall, 2.18% of the study population developed a depressive episode at least 1 year follow
SUBMITTER: Bilu Y
PROVIDER: S-EPMC10228240 | biostudies-literature | 2023 May
REPOSITORIES: biostudies-literature