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A Meta-analysis of Universal Mental Health Prevention Programs for Higher Education Students
Abstract
This meta-analysis investigated the effectiveness of universal mental health prevention programs for higher education students on a range of adjustment outcomes. A systematic literature search identified 103 controlled published and unpublished interventions involving college, graduate, or professional students. As hypothesized, skill-training programs that included a supervised practice component were significantly more effective overall (mean effect size = 0.45, confidence interval (CI) = 0.39 to 0.52) compared to skill-training programs without supervised practice (0.11, CI = -0.01 to 0.22) and psychoeducational (information-only) programs (0.13, CI = 0.06 to 0.21). When comparisons on specific outcomes were possible, skill-training programs including supervised practice were significantly more effective than the other two groups of programs in reducing symptoms of depression, anxiety, stress, and general psychological distress, and in improving social-emotional skills, self-perceptions, and academic behaviors and performance. The magnitude of effects achieved in several outcome areas is comparable to or higher than that reported in other reviews of universal programs, suggesting that skill-training programs for higher education students that incorporate supervised practice now join the ranks of other effective preventive mental health interventions. This review offers several recommendations to improve the experimental rigor of future research.
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“For example, Conley et al. (2015) pooled academic performance data from 90 studies with 103 individual face-to-face universal mental health prevention interventions.”
From The effect of e-mental health interventions on academic performance in university and college students: A meta-analysis of randomized controlled trials (2020) · cites this paper as Conley et al. (2015)
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“As of yet, research on whether these effects extend to academic performance is largely limited to interventions delivered offline.”
From The effect of e-mental health interventions on academic performance in university and college students: A meta-analysis of randomized controlled trials (2020) · cites this paper as Conley et al. (2015)
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Metadata
- Authors
- Conley, C. S., Durlak, J. A., & Kirsch, A. C.
- Affiliations
- Loyola University Chicago (US)
- Corresponding author
- Conley, Colleen S.
- Venue
- Prevention Science
- Published
- 2015-03-07
- Volume
- 16
- Issue
- 4
- Pages
- 487-507
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- OpenAlex
- W2064324224
- Cited by
- 340
- References
- 135
- Citations by year
- 2026: 29 · 2025: 36 · 2024: 38 · 2023: 52 · 2022: 36 · 2021: 75 · 2020: 23 · 2019: 18 · 2018: 16 · 2017: 10 · 2016: 7
- FWCI
- 2.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Prevention Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Chicago
- Loyola University Chicago
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Student Stress and Coping
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Psychology › Applied Psychology › Problem Solving Skills Development
- Keywords
- university students, skill development programs, supervised practice, psychoeducational intervention, depression, anxiety, stress, psychological distress, socioemotional skills, academic performance, self-perception
- MeSH terms
- Adolescent, Mental Disorders, Emotions, Humans, Mental Health, Students, Universities, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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