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Association of Family Income Supplements in Adolescence With Development of Psychiatric and Substance Use Disorders in Adulthood Among an American Indian Population
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CONTEXT: In a natural experiment in which some families received income supplements, prevalence of adolescent behavioral symptoms decreased significantly. These adolescents are now young adults. OBJECTIVE: To examine the effects of income supplements in adolescence and adulthood on the prevalence of adult psychiatric disorders. DESIGN: Quasi-experimental, longitudinal. POPULATION AND SETTING: A representative sample of children aged 9, 11, or 13 years in 1993 (349 [25%] of whom are American Indian) were assessed for psychiatric and substance use disorders through age 21 years (1993-2006). Of the 1420 who participated in 1993, 1185 were interviewed as adults. From 1996, when a casino opened on the Indian reservation, every American Indian but no non-Indians received an annual income supplement that increased from $500 to around $9000. MAIN OUTCOME MEASURES: Prevalence of adult psychiatric disorders and substance use disorders based on the Diagnostic and Statistical Manual of Mental Disorders in 3 age cohorts, adjusted for age, sex, length of time in the family home, and number of Indian parents. RESULTS: As adults, significantly fewer Indians than non-Indians had a psychiatric disorder (106 Indians [weighted 30.2%] vs 337 non-Indians [weighted 36.0%]; odds ratio [OR], 0.46; 95% confidence interval [CI], 0.30-0.72; P = .001), particularly alcohol and cannabis abuse, dependence, or both. The youngest age-cohort of Indian youth had the longest exposure to the family income. Interactions between race/ethnicity and age cohort were significant. Planned comparisons showed that fewer of the youngest Indian age-cohort had any psychiatric disorder (31.4%) than the Indian middle cohort (41.7%; OR, 0.43; 95% CI, 0.24-0.78; P = .005) or oldest cohort (41.3%; OR, 0.69; 95% CI, 0.51-0.94; P = .01) or the youngest non-Indian cohort (37.1%; OR, 0.66; 95% CI, 0.48-0.90; P = .008). Study hypotheses were not upheld for nicotine or other drugs, or emotional or behavioral disorders. The income supplement received in adulthood had no impact on adult psychopathology. CONCLUSION: Lower prevalence of psychopathology in American Indian youth following a family income supplement, compared with the nonexposed, non-Indian population, persisted into adulthood.
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“Conditional cash transfers may be most effective in reducing disparities when they are structured to have maximum impact for those with lower baseline incomes.”
From Evaluating strategies for reducing health disparities by addressing the social determinants of health. (2016) · cites this paper as [44]
In the citing paper
“subgroup analyses revealed that this effect was present only for those in the youngest cohort (age 12 when the supplements began) who had had the longest exposure to the additional income with no effect of income evident in the two older cohorts who were age 14 and age 16 at the time of the initial supplement.”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [29]
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“Some limited research also indicates that income supplementation to racial minorities can lead to improved health and the reduction of at least some racial differences in health.”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [29]
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“this lower risk of psychiatric disorders in adolescence when the youth lived at home persisted into young adulthood when most had established their own residence [29].”
From Reducing Racial Inequities in Health: Using What We Already Know to Take Action (2019) · cites this paper as [29]
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Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Baron, R. M., & Kenny, D. A. (1986) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.51.6.1173 · Cited by 91,532
Everitt, B. S. (2001) · Psychology Press eBooks · doi:10.4324/9781410605542-11 · Cited by 6,877
Drug Dependence, a Chronic Medical Illness
McLellan, A. T., Lewis, D. C., O'Brien, C. P., & Kleber, H. D. (2000) · JAMA · doi:10.1001/jama.284.13.1689 · Cited by 2,622 · cited 1×
“This quasi-experimental study is, perhaps, more important in linking a developmentally specific environmental intervention with an adult outcome showing strong genetic liability.(35,36) TheGreatSmokyMountainsstudyhas several advantages for examining the long-term effect of an income intervention on psychiatric disorde…”
Analysis of Longitudinal Data.
Have, T. R. T., Diggle, P. J., Liang, K., & Zeger, S. L. (1995) · Journal of the American Statistical Association · doi:10.2307/2291352 · Cited by 1,171
Children's Mental Health Service Use Across Service Sectors
Burns, B. J., Costello, E. J., Angold, A. C., Tweed, D. L., Stangl, D. K., Farmer, E. M. Z., & Erkanli, A. (1995) · Health Affairs · doi:10.1377/hlthaff.14.3.147 · Cited by 1,165
Self-citationChildren Of The Great Depression: 25th Anniversary Edition
Elder, G. H. (1977) · Medical Entomology and Zoology · Cited by 1,135
The Great Smoky Mountains Study of Youth
Costello, E. J. (1996) · Archives of General Psychiatry · doi:10.1001/archpsyc.1996.01830120067012 · Cited by 1,088
Self-citationRelationships Between Poverty and Psychopathology: A Natural Experiment
Costello, E. J., Compton, S. N., Keeler, G., & Angold, A. (2003) · JAMA · doi:10.1001/jama.290.15.2023 · Cited by 1,079
Self-citationA general model for the study of developmental problems.
Schaie, K. W. (1965) · Psychological Bulletin · doi:10.1037/h0022371 · Cited by 1,056
Research works printed but not linked: 4
- [20]Spiegelman RG Yaeger KE The Seattle and Denver income-maintenance experiments: Overview Journal of Human Resources 1980 15 463
- [29]Sung M Costello EJ Erkanli A Angold A Puberty and the onset of alcohol and drug use: A longitudinal community study Drug & Alcohol Dependence in press.
- [39]Burtless G Hausman JA Effect of taxation on labor supply: Evaluating the Gary Negative Journal of Political Economy 1978 86 1103 1130
- [40]Akee R Copeland W Keeler G Angold A Costello E Educational attainment, criminality and casino payment: young adult outcomes from a quasi-experiment in Indian country American Economic Journal in press.
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Longitudinal patterns of anxiety from childhood to adulthood: the Great Smoky Mountains Study
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Self-citationThornton, R. L. J., Glover, C. M., Cené, C. W., Glik, D. C., Henderson, J. A., & Williams, D. R. (2016) · Health Affairs · doi:10.1377/hlthaff.2015.1357 · Cited by 591
American Indian and Alaska Native mental health: diverse perspectives on enduring disparities
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Metadata
- Authors
- Costello, E. J.
- Affiliations
- Duke University (US)
- Corresponding author
- Costello, E. Jane
- ORCID
- Costello, E. Jane
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2010-05-19
- Volume
- 303
- Issue
- 19
- Pages
- 1954
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- PMC
- PMC3049729
- OpenAlex
- W2125592779
- Cited by
- 233
- References
- 46
- Citations by year
- 2026: 7 · 2025: 23 · 2024: 15 · 2023: 27 · 2022: 22 · 2021: 16 · 2020: 13 · 2019: 16 · 2018: 14 · 2017: 10 · 2016: 17 · 2015: 11 · 2014: 11 · 2013: 13 · 2012: 6
- FWCI
- 18.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Alliance for Research on Schizophrenia and Depression (MH63970, MH48085, MH63671)
- National Institute of Mental Health (MH-63671, R01MH063970, R01MH048085, MH-63970, MH-48085, K23MH080230, R01MH063671)
- National Institute on Drug Abuse (DA 11301, MH63671, MH63970, MH48085, P30DA023026, R01DA011301, DA023026)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Food Security and Health in Diverse Populations
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- Native American youth, adult psychiatric disorders, substance use disorders, alcohol abuse, cannabis use disorder, alcoholism, age cohort effects, racial and ethnic differences, natural experiment, mental health outcomes, substance use prevention
- MeSH terms
- Adolescent, Adult, Mental Disorders, Child, Female, Humans, Income, Indians, North American, Longitudinal Studies, Male, North Carolina, Prevalence, Odds Ratio, Substance-Related Disorders, Young Adult
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