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Adolescent depression: diagnosis, treatment, and educational attainment
Open accessAbstract
In this paper, I use nationally representative longitudinal data to examine adolescent depression and educational attainment. First, I examine the individual, family, and community‐level determinants of adolescent depression, diagnosis, and treatment. I find that male and minority adolescents who score high on depression scales are less likely to be diagnosed as depressed or receive treatment than female and non‐Hispanic white adolescents. Additionally, I find several community‐level variables to be important determinants of depression, diagnosis, and treatment. Second, I examine the importance of adolescent depression for educational attainment. Although it is uncontroversial to expect a negative relationship, most previous research uses cross‐sectional data, making it difficult to adequately determine the magnitude of the effect. I find that depressive symptoms are related to educational attainment along multiple margins: dropping out of high school, college enrollment, and college type. These relationships are only found for adolescent females, and there are several interesting results across income groups. Overall, these findings suggest that further attempts to diagnose and treat adolescents with depressive symptoms are needed and that additional treatment options may be required to combat the important relationship between adolescent depression and human capital accumulation for females. Copyright © 2007 John Wiley & Sons, Ltd.
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“Results have been inconsistent, with the majority of studies, but not all [9], finding significant gross associations of childhood and adolescent mental disorders with low levels of educational attainment and some finding that significant gross associations are explained by childhood adversities that preceded onset of the disorders [11,22].”
From Long-term effects of mental disorders on educational attainment in the National Comorbidity Survey ten-year follow-up (2015) · cites this paper as [7]
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“Much of the past research on the impact of mental disorders on educational attainment has focused on depression [38,22,7,8,21]”
From Long-term effects of mental disorders on educational attainment in the National Comorbidity Survey ten-year follow-up (2015) · cites this paper as [7]
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Metadata
- Authors
- Fletcher, J. M.
- Affiliations
- University of Wisconsin–Madison (US)
- Corresponding author
- Fletcher, Jason M.
- ORCID
- Fletcher, Jason M.
- Venue
- Health Economics
- Publisher
- Wiley
- Published
- 2007-12-21
- Volume
- 17
- Issue
- 11
- Pages
- 1215-1235
- ISSN
- 1057-9230 (ISSN-L)
- 1099-1050
- PMC
- PMC6813840
- OpenAlex
- W2020477657
- Cited by
- 341
- References
- 36
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 12 · 2023: 20 · 2022: 12 · 2021: 33 · 2020: 25 · 2019: 20 · 2018: 14 · 2017: 50 · 2016: 15 · 2015: 23 · 2014: 15 · 2013: 17 · 2012: 19
- FWCI
- 16.02
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Health Economics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- SSRN Electronic Journal (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Institute of Mental Health (T32MH018029, T32 MH18029-20)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (P01- HD31921, P01HD031921)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Social Sciences › Health › Health disparities and outcomes
- Keywords
- adolescent depression, depressive symptoms, educational attainment, depression diagnosis, psychotherapy, gender differences, racial and ethnic minorities, community-level determinants, high school dropout, college enrollment, university type, human capital accumulation, income groups
- MeSH terms
- Adolescent, Psychology, Adolescent, Depression, Educational Status, Family Characteristics, Female, Humans, Longitudinal Studies, Male, Residence Characteristics, Sex Factors, Models, Statistical
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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