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Prediction of major depressive disorder onset in college students
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 studen...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519292/ https://www.ncbi.nlm.nih.gov/pubmed/30521136 http://dx.doi.org/10.1002/da.22867 |
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author | Ebert, David D. Buntrock, Claudia Mortier, Philippe Auerbach, Randy Weisel, Kiona K. Kessler, Ronald C. Cuijpers, Pim Green, Jennifer G. Kiekens, Glenn Nock, Matthew K. Demyttenaere, Koen Bruffaerts, Ronny |
author_facet | Ebert, David D. Buntrock, Claudia Mortier, Philippe Auerbach, Randy Weisel, Kiona K. Kessler, Ronald C. Cuijpers, Pim Green, Jennifer G. Kiekens, Glenn Nock, Matthew K. Demyttenaere, Koen Bruffaerts, Ronny |
author_sort | Ebert, David D. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6519292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-65192922019-05-23 Prediction of major depressive disorder onset in college students Ebert, David D. Buntrock, Claudia Mortier, Philippe Auerbach, Randy Weisel, Kiona K. Kessler, Ronald C. Cuijpers, Pim Green, Jennifer G. Kiekens, Glenn Nock, Matthew K. Demyttenaere, Koen Bruffaerts, Ronny Depress Anxiety Research Articles 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. John Wiley and Sons Inc. 2018-12-06 2019-04 /pmc/articles/PMC6519292/ /pubmed/30521136 http://dx.doi.org/10.1002/da.22867 Text en © 2018 The Authors. Depression and Anxiety published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Ebert, David D. Buntrock, Claudia Mortier, Philippe Auerbach, Randy Weisel, Kiona K. Kessler, Ronald C. Cuijpers, Pim Green, Jennifer G. Kiekens, Glenn Nock, Matthew K. Demyttenaere, Koen Bruffaerts, Ronny Prediction of major depressive disorder onset in college students |
title | Prediction of major depressive disorder onset in college students |
title_full | Prediction of major depressive disorder onset in college students |
title_fullStr | Prediction of major depressive disorder onset in college students |
title_full_unstemmed | Prediction of major depressive disorder onset in college students |
title_short | Prediction of major depressive disorder onset in college students |
title_sort | prediction of major depressive disorder onset in college students |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519292/ https://www.ncbi.nlm.nih.gov/pubmed/30521136 http://dx.doi.org/10.1002/da.22867 |
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