Prediction of major depressive disorder onset in college students

David D. Ebert, Claudia Buntrock, Philippe Mortier, Randy Auerbach, Kiona K. Weisel, Ronald C. Kessler, Pim Cuijpers, Jennifer G. Green, Glenn Kiekens, Matthew K. Nock, Koen Demyttenaere, Ronny Bruffaerts

Research output: Contribution to journalArticlepeer-review

105 Scopus citations

Abstract

Background: Major depressive disorder (MDD) in college students is associated with substantial burden. Aims: To assess 1-year incidence of MDD among incoming freshmen and predictors of MDD-incidence in a representative sample of students. Method: Prospective cohort study of first-year college students (baseline: n = 2,519, 1-year follow-up: n = 958). Results: The incidence of MDD within the first year of college was 6.9% (SE = 0.8). The most important individual-level predictors of onset were prior suicide plans and/or attempts (OR = 9.5). The strongest population-level baseline predictors were history of childhood–adolescent trauma, stressful experience in the past 12 months, parental psychopathology, and other 12-month mental disorder. Multivariate cross-validated prediction (cross-validated AUC = 0.73) suggest that 36.1% of incident MDD cases in a replication sample would occur among the 10% of students at highest predicted risk (24.5% predicted incidence in this highest-risk subgroup). Conclusions: Screening at college entrance is a promising strategy to identify students at risk of MDD onset, which may improve the development and deployment of targeted preventive interventions.

Original languageEnglish
Pages (from-to)294-304
Number of pages11
JournalDepression and Anxiety
Volume36
Issue number4
DOIs
StatePublished - Apr 2019
Externally publishedYes

Keywords

  • depression
  • epidemiology
  • health services
  • mood disorders
  • suicide/self-harm

Fingerprint

Dive into the research topics of 'Prediction of major depressive disorder onset in college students'. Together they form a unique fingerprint.

Cite this