Depression outcomes associated with an intervention implemented in employment training programs for low-income adolescents and young adults

JAMA Psychiatry

Volumn 72, Issue 1, 2015, Pages 31-39

  Tandon, S Darius ^a   Latimore, Amanda D ^b   Clay, Eric ^c   Mitchell, Lois ^c   Tucker, Margaret ^d   Sonenstein, Freya L ^b  

^a NORTHWESTERN UNIVERSITY   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c Historic East Baltimore Community Action Coalition   (United States)

^d Insight Policy Research Incorporated   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; CENTER FOR EPIDEMIOLOGICAL STUDIES DEPRESSION SCALE; COMPARATIVE STUDY; CONTROLLED STUDY; COPING BEHAVIOR; DEPRESSION; DOSE RESPONSE; EMPLOYMENT; EMPLOYMENT STATUS; EPIDEMIOLOGY; FEMALE; FOLLOW UP; HUMAN; LOWEST INCOME GROUP; MAJOR CLINICAL STUDY; MALE; MENTAL HEALTH SERVICE; OUTCOME ASSESSMENT; SOCIAL WORKER; UNEMPLOYMENT; UNITED STATES; ADAPTIVE BEHAVIOR; AFRICAN AMERICAN; COGNITIVE THERAPY; ETHNOLOGY; HEALTH CARE DELIVERY; HEALTH SERVICE; IN SERVICE TRAINING; MENTAL HEALTH; ORGANIZATION AND MANAGEMENT; POVERTY; PROCEDURES; PROPENSITY SCORE; PSYCHOLOGY; SEX DIFFERENCE; STATISTICS AND NUMERICAL DATA; TREATMENT OUTCOME; YOUNG ADULT;

ADAPTATION, PSYCHOLOGICAL; ADOLESCENT; AFRICAN AMERICANS; COGNITIVE THERAPY; DELIVERY OF HEALTH CARE; DEPRESSION; FEMALE; HEALTH SERVICES NEEDS AND DEMAND; HUMANS; INSERVICE TRAINING; MALE; MENTAL HEALTH; MENTAL HEALTH SERVICES; POVERTY; PROPENSITY SCORE; SEX FACTORS; TREATMENT OUTCOME; UNITED STATES; YOUNG ADULT;

EID: 84920816464     PISSN: 2168622X     EISSN: None     Source Type: Journal    
DOI: 10.1001/jamapsychiatry.2014.2022     Document Type: Article

References (40)

1. Kessler RC, Berglund P, Demler O, Jin R, Merikangas KR, Walters EE. Lifetime prevalence and age-of-onset distributions of DSM-IV disorders in the National Comorbidity Survey Replication [published correction appears in Arch Gen Psychiatry. 2005;62(7):768]. Arch Gen Psychiatry. 2005;62(6):593-602.
2. Kessler RC, Walters EE. Epidemiology of DSM-III-R major depression and minor depression among adolescents and young adults in the National Comorbidity Survey. Depress Anxiety. 1998;7(1):3-14.
3. Lewinsohn PM, Rohde P, Seeley JR, Klein DN, Gotlib IH. The consequences of adolescent major depressive disorder on young adults. In: Joiner TE, Brown JS, Kistner J, eds. The Interpersonal, Cognitive, and Social Nature of Depression. Mahwah, NJ: Lawrence Erlbaum Associates; 2006:43-68.
4. Lewinsohn PM, Rohde P, Seeley JR, Klein DN, Gotlib IH. Psychosocial functioning of young adults who have experienced and recovered from major depressive disorder during adolescence. J Abnorm Psychol. 2003;112(3):353-363.
5. Bridge JA, Goldstein TR, Brent DA. Adolescent suicide and suicidal behavior. J Child Psychol Psychiatry. 2006;47(3-4):372-394.
6. Hammen C, Brennan PA, Keenan-Miller D, Herr NR. Early onset recurrent subtype of adolescent depression: clinical and psychosocial correlates. J Child Psychol Psychiatry. 2008;49(4):433-440.
7. Lewinsohn PM, Rohde P, Klein DN, Seeley JR. Natural course of adolescent major depressive disorder, I: continuity into young adulthood. J Am Acad Child Adolesc Psychiatry. 1999;38(1):56-63.
8. Jonsson U, Bohman H, von Knorring L, Olsson G, Paaren A, von Knorring AL. Mental health outcome of long-term and episodic adolescent depression: 15-year follow-up of a community sample. J Affect Disord. 2011;130(3):395-404.
9. Substance Abuse and Mental Health Services Administration. Results From the 2012 National Survey on Drug Use and Health: Mental Health Findings, NSDUH Series H-47, HHS Publication No. (SMA) 13-4805. Rockville, MD: Substance Abuse and Mental Health Services Administration; 2013.
10. Lewis K, Burd-Sharps S. Halve the Gap by 2030: Youth Disconnection in America's Cities. New York, NY: Social Science Research Council; 2013.
11. Annie E. Casey Foundation. Kids Count Message Highlights Perils of Ignoring "Disconnected Youth." Baltimore, MD: Annie E. Casey Foundation; 2004.
12. Fernandes A, Gabe T. Disconnected Youth: A Look at 16- to 24-Year Olds Who Are Not Working or in School. Washington, DC: Congressional Research Service; 2009.
13. The Aspen Institute. Aspen Forum for Community Solutions and Opportunity Youth Incentive Fund. http://aspencommunitysolutions.org/the-fund/. Accessed May 9, 2014.
14. Tandon SD, Marshall B, Templeman AJ, Sonenstein FL. Health access and status of adolescents and young adults using youth employment and training programs in an urban environment. J Adolesc Health. 2008;43(1):30-37.
15. Harris L. What's a Youngster to Do? The Education and Labor Market Plight of Youth in High Poverty Communities. Washington, DC: Center for Law and Social Policy; 2005.
16. Government Accountability Office. Disconnected Youth: Federal Action Could Address Some of the Challenges Faced by Local Program That Reconnect Youth to Education and Employment. Washington, DC: Government Accountability Office; 2008.
17. Compas BE, Connor-Smith JK, Saltzman H, Thomsen AH, Wadsworth ME. Coping with stress during childhood and adolescence: problems, progress, and potential in theory and research. Psychol Bull. 2001;127(1):87-127.
18. Horowitz JL, Garber J. The prevention of depressive symptoms in children and adolescents: ameta-analytic review. J Consult Clin Psychol. 2006;74(3):401-415.
19. Weare K, Nind M. Mental health promotion and problem prevention in schools: what does the evidence say? Health Promot Int. 2011;26(suppl 1):i29-i69.
20. Gladstone TRG, Beardslee WR, O'Connor EE. The prevention of adolescent depression. Psychiatr Clin North Am. 2011;34(1):35-52.
21. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1(3):385-401. doi:10.1177/014662167700100306.
22. Ayers TS, Sandler IN, West SG, Roosa MW. A dispositional and situational assessment of children's coping: testing alternative models of coping. J Pers. 1996;64(4):923-958.
23. Seidman E, Allen L, Aber JL, et al. Development and validation of adolescent-perceived microsystem scales: social support, daily hassles, and involvement. Am J Community Psychol. 1995;23(3):355-388.
24. Jaycox LH, Asarnow JR, Sherbourne CD, Rea MM, LaBorde AP, Wells KB. Adolescent primary care patients' preferences for depression treatment. Adm Policy Ment Health. 2006;33(2):198-207.
25. Beck AT, Epstein N, Brown G, Steer RA. An inventory for measuring clinical anxiety: psychometric properties. J Consult Clin Psychol. 1988;56(6):893-897.
26. D'Imperio RL, Dubow EF, Ippolito MF. Resilient and stress-affected adolescents in an urban setting. J Clin Child Psychol. 2000;29(1):129-142.
27. Stuart EA. Matching methods for causal inference: a review and a look forward. Stat Sci. 2010;25(1):1-21.
28. Garber J. Depression in children and adolescents: linking risk research and prevention. Am J Prev Med. 2006;31(6, suppl 1):S104-S125.
29. Rosenbaum PR. Observational study. In: Everitt BS, Howell D, eds. Encyclopedia of Statistics in Behavioral Science. Chichester, West Sussex: John Wiley & Sons; 2005;3:1451-1462.
30. Ho D, Imai K, King G, Stuart E. Matching as nonparametric preprocessing for reducing model dependence in parametric causal inference. Polit Anal. 2007;15(3):199-236. doi:10.1093/pan/mpl013.
31. Ho D, Imai K, King G, Stuart E. MatchIt: nonparametric preprocessing for parametric causal inference. J Stat Softw. 2011;42(8):1-28. http://www.jstatsoft.org/v42/i08. Accessed October 1, 2014.
32. Rubin DB. Using propensity scores to help design observational studies: application to the tobacco litigation. Health Serv Outcomes Res Methodol. 2001;2(3-4):169-188. doi:10.1023/A:1020363010465.
33. StataCorp. Stata Statistical Software: Release 12. College Station, TX: StataCorp LP; 2011.
34. Allison PD. Change scores as dependent variables in regression analysis. Sociol Methodol. 1990;20:93-114. doi:10.2307/271083.
35. Lu B, Greevy R, Xu X, Beck C. Optimal nonbipartite matching and its statistical applications. Am Stat. 2011;65(1):21-30.
36. Baltimore Neighborhood Indicators Alliance. Baltimore Community Statistical Areas (CSAs) 2010 [data file]. http://bniajfi.org/mapping-resources/. Accessed May 9, 2014.
37. Spence SH, Shortt AL. Research review: can we justify the widespread dissemination of universal, school-based interventions for the prevention of depression among children and adolescents? J Child Psychol Psychiatry. 2007;48(6):526-542.
38. Merry S, McDowell H, Hetrick S, Bir J, Muller N. Psychological and/or educational interventions for the prevention of depression in children and adolescents. Cochrane Database Syst Rev. 2004;12(1):CD003380.
39. Jané-Llopis E, Hosman C, Jenkins R, Anderson P. Predictors of efficacy in depression prevention programmes: meta-analysis. Br J Psychiatry. 2003;183:384-397.
40. Reinecke MA, Curry JF, March JS. Findings from the Treatment for Adolescents with Depression Study (TADS): what have we learned? what do we need to know? J Clin Child Adolesc Psychol. 2009;38(6):761-767.