Two-Year Impact of Prevention Programs on Adolescent Depression: an Integrative Data Analysis Approach
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This paper presents the first findings of an integrative data analysis of individual-level data from 19 adolescent depression prevention trials (n = 5210) involving nine distinct interventions across 2 years post-randomization. In separate papers, several interventions have been found to decrease the risk of depressive disorders or elevated depressive/internalizing symptoms among youth. One type of intervention specifically targets youth without a depressive disorder who are at risk due to elevated depressive symptoms and/or having a parent with a depressive disorder. A second type of intervention targets two broad domains: prevention of problem behaviors, which we define as drug use/abuse, sexual risk behaviors, conduct disorder, or other externalizing problems, and general mental health. Most of these latter interventions improve parenting or family factors. We examined the shared and unique effects of these interventions by level of baseline youth depressive symptoms, sociodemographic characteristics of the youth (age, sex, parent education, and family income), type of intervention, and mode of intervention delivery to the youth, parent(s), or both. We harmonized eight different measures of depression utilized across these trials and used growth models to evaluate intervention impact over 2 years. We found a significant overall effect of these interventions on reducing depressive symptoms over 2 years and a stronger impact among those interventions that targeted depression specifically rather than problem behaviors or general mental health, especially when baseline symptoms were high. Implications for improving population-level impact are discussed.
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In the authors' framework, the existence of multiple trials that produce similar health outcomes makes for a higher expectation of health impact when a scaled-out intervention shows comparable intervention and implementation fidelity and reach as in previous studies.
“In our framework, the existence of multiple trials that produce similar health outcomes, such as one finds in a synthesis of preventive trials focused on child depression [67], makes for a higher expectation of health impact when a scaled-out intervention shows comparable intervention and implementation fidelity and reach as in previous studies.”
From “Scaling-out” evidence-based interventions to new populations or new health care delivery systems (2017) · cites this paper as [67]
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Self-citationGreenbaum, P. E., Wang, W., Henderson, C. E., Kan, L., Hall, K., Dakof, G. A., & Liddle, H. A. (2015) · Journal of Family Psychology · doi:10.1037/fam0000127 · Cited by 23 · see citing works
Prevention of depression in youth: Sex differences in effects.
Garber, J., & Downs, L. E. (2011) · Cited by 8 · see citing works
(2009)
Emslie (1998) · doi:10.1002/(sici)1520-6394(1998)7:1
Flagged first, then by citations
Research works printed but not linked: 3
- Brincks A Huang S Brown CH Howe GW Pantin H Perrino T Multilevel growth models for combining and synthesizing individual participant data from multiple prevention trials Prevention Science in press this issue
- Capaldi DM Stoolmiller M Co-occurrence of conduct problems and depressive symptoms in early adolescent boys: III. Prediction to young-adult adjustment Development and psychopathology 1999 11 1 59 84 10208356
- Substance Abuse and Mental Health Services Administration, & Center for Behavioral Health Statistics and Quality The NSDUH Report: Substance Use and Mental Health Estimates from the 2013 National Survey on Drug Use and Health: Overview of Findings 4 9 2014 Retrieved from http://www.samhsa.gov/data/sites/default/files/NSDUH-SR200-RecoveryMonth-2014/NSDUH-SR200-RecoveryMonth-2014.htm 27656739
Cited by
Sorted by citations
“Scaling-out” evidence-based interventions to new populations or new health care delivery systems
Aarons, G. A., Sklar, M., Mustanski, B., Benbow, N., & Brown, C. H. (2017) · Implementation Science · doi:10.1186/s13012-017-0640-6 · Cited by 399 · see citing works
Self-citationGladstone, T., Buchholz, K. R., Fitzgibbon, M., Schiffer, L., Lee, M., & Voorhees, B. W. V. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17217736 · Cited by 32 · see citing works
Lattie, E. G., Ho, J., Sargent, E., Tomasino, K. N., Smith, J. D., Brown, C. H., & Mohr, D. C. (2017) · Internet Interventions · doi:10.1016/j.invent.2017.02.003 · Cited by 31 · see citing works
Self-citationIntegrative Data Analysis and the Study of Global Health
Hussong, A. M., Cole, V. T., Curran, P. J., Bauer, D. J., & Gottfredson, N. C. (2020) · ICSA Book Series in Statistics · doi:10.1007/978-3-030-35260-8_5 · Cited by 13 · see citing works
- Authors
- Brown, C. H., Brincks, A., Huang, S., Perrino, T., Cruden, G., Pantin, H., Howe, G., Young, J. F., Beardslee, W., Montag, S., & Sandler, I.
- Affiliations
- Northwestern University (US)
- University of Miami (US)
- Vanderbilt University (US)
- George Washington University (US)
- Rutgers, The State University of New Jersey (US)
- Boston Children's Hospital (US)
- Arizona State University (US)
- Corresponding author
- Brown, C. Hendricks
- ORCID
- Venue
- Prevention Science
- Published
- 2016-12-24
- Volume
- 19
- Issue
- S1
- Pages
- 74-94
- ISSN
- 1389-4986 (ISSN-L)
- 1573-6695
- PMC
- PMC5483191
- OpenAlex
- W2565795563
- Cited by
- 53
- References
- 96
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 9 · 2023: 7 · 2022: 7 · 2021: 1 · 2020: 6 · 2019: 5 · 2018: 7 · 2017: 7
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Prevention Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Carolina Digital Repository (University of North Carolina at Chapel Hill) (submittedVersion)
- UNC Libraries
- Funders
- National Institute of Mental Health (MH071320, MH48696, MH064735, MH064503, MH52270, MH61143, MH068685, MH048118, MH072918, MH64707)
- William T. Grant Foundation (961730)
- National Institute on Drug Abuse (DA07031, DA13773, DA017462, DA025894, DA018374, DA007029)
- Centers for Disease Control and Prevention (U01PS000671)
- Brain and Behavior Research Foundation
- Topics
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Keywords
- adolescent depression, depressive symptoms, parental depression, problem behavior prevention, parenting support, family factors, externalizing problems, sexual risk behavior, substance use prevention, intervention delivery mode
- MeSH terms
- Data Analysis, Adolescent, Depression, Female, Health Promotion, Humans, Male, Parents, Cognitive Behavioral Therapy, Parenting, Outcome Assessment, Health Care
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.
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