Abstract
Growing economic inequality across the family and school contexts that adolescents inhabit may have significant consequences for their psychological well-being. Yet little research has assessed the mental health repercussions of economic inequities or whether such repercussions have shifted with rising inequality. This study assessed annual Monitoring the Future surveys with 8th (n = 124,468; age 13; 59 percent White, 41 percent students of color), 10th (n = 164,916; age 15; 65 percent white, 35 percent students of color), and 12th (n = 60,664; age 17; 66 percent white, 34 percent students of color) grade students from 1989–2017. Analyses tracked secular trends in adolescent depressive symptoms and assessed whether family and school socioeconomic status (SES) disparities in depressive symptoms have shifted over time. Depressive symptoms showed significant elevations in 2014–2017 among 8th, 10th, and 12th graders over 2010–2013 levels. Pervasive small SES gaps were found in adolescent depressive symptoms, with youth from lower SES families and lower SES schools reporting higher depressive symptoms than their more advantaged peers across all grades. Family SES gaps remained stable over recent decades, whereas school SES gaps rose significantly in recent years across all grades and genders, suggesting that the recent rise in depressive symptoms is driven by adolescents in low SES schools. The results suggest that repercussions of growing economic inequality may extend to psychological outcomes, and identify the need for greater preventive and intervention services targeting adolescent mental health.
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Notes
The analytic samples excluded youth who did not report on parental education (3.47–9.08 percent for 12th through 8th graders, respectively) or were missing data on age (1.42–1.40 percent), gender (3.06–2.52 percent), or race/ethnicity (2.25–2.74 percent).
References
Alegría, M., Green, J. G., McLaughlin, K. A., & Loder, S. (2015). Disparities in child and adolescent mental health and mental health services in the U.S. Washington, DC: William T. Grant Foundation.
Allen, J. P., Chango, J., Szwedo, D., & Schad, M. (2014). Long-term sequelae of subclinical depressive symptoms in early adolescence. Development and Psychopathology, 26(1), 171–180. https://doi.org/10.1017/S095457941300093X.
Andersen, S. L., & Teicher, M. H. (2008). Stress, sensitive periods and maturational events in adolescent depression. Trends in Neurosciences, 31(4), 183–191. https://doi.org/10.1016/j.tins.2008.01.004.
Baker, B. D., Farrie, D., & Sciarra, D. (2018). Is school funding fair? A national report card. Newark, NJ: Education Law Center.
Baum, S. (2014). Higher education earnings premium: value, variation, and trends. Washington, DC: Urban Institute.
Bischoff, K., & Reardon, S. F. (2014). Residential segregation by income, 1970–2009. In J. Logan (Ed.), Diversity and disparities: america enters a new century (pp. 208–233). New York: The Russel Sage Foundation.
Ciarrochi, J., Parker, P., Sahdra, B., Marshall, S., Jackson, C., Gloster, A. T., & Heaven, P. (2016). The development of compulsive internet use and mental health: a four-year study of adolescence. Developmental Psychology, 52(2), 272–283. https://doi.org/10.1037/dev0000070.
Coley, R. L., Sims, J., Dearing, E., & Spielvogel, B. (2018). Locating economic risks for adolescent mental and behavioral health: poverty and affluence in families, neighborhoods, and schools. Child Development, 89(2), 360–369. https://doi.org/10.1111/cdev.12771.
Coley, R.L., Spielvogel, B., & Sims, J. (2018). Are the benefits of economic resources for socioemotional functioning shared across racial/ethnic groups? Journal of Youth and Adolescence, 1–18. https://doi.org/10.1007/s10964-018-0900-z.
Collishaw, S. (2015). Annual research review: secular trends in child and adolescent mental health. Journal of Child Psychology and Psychiatry, 56(3), 370–393. https://doi.org/10.1111/jcpp.12372.
Collishaw, S., Maughan, B., Natarajan, L., & Pickles, A. (2010). Trends in adolescent emotional problems in England: A comparison of two national cohorts twenty years apart. Journal of Child Psychology and Psychiatry, 51(8), 885–894. https://doi.org/10.1111/j.1469-7610.2010.02252.x.
Costello, M. B. (2016). The Trump effect: the impact of the presidential campaign on our nation’s schools. Montgomery, AL: Southern Poverty Law Center.
Duncan, G. J., & Murnane, R. J. (2016). Rising inequality in family incomes and children’s educational outcomes. The Russell Sage Foundation Journal of the Social Sciences, 2(2), 142–158. https://doi.org/10.7758/rsf.2016.2.2.06.
Fast Focus. (2018). The opioid epidemic and socioeconomic disadvantage. Research/Policy Brief No. 32-2018. Madison, WI: Institute for Research on Poverty. https://www.irp.wisc.edu/publications/fastfocus/pdfs/FF32-2018.pdf.
Flanagan, C. A., & Kornbluh, M. (2019). How unequal is the United States? Adolescents’ images of social stratification. Child Development, 90, 957–969.
Goodman, E., Huang, B., Wade, T. J., & Kahn, R. S. (2003). A multilevel analysis of the relation of socioeconomic status to adolescent depressive symptoms: does school context matter? The Journal of Pediatrics, 143(4), 451–456. https://doi.org/10.1067/S0022-3476(03)00456-6.
Goodman, E., Slap, G. B., & Huang, B. (2003). The public health impact of socioeconomic status on adolescent depression and obesity. American Journal of Public Health, 93, 1844–1850.
Healthy People 2020. Social determinants of health. https://www.healthypeople.gov/2020/topics-objectives/topic/social-determinants-of-health.
Kearney, C. A. (2008). School absenteeism and school refusal behavior in youth: a contemporary review. Clinical Psychology Review, 28(3), 451–471. https://doi.org/10.1016/j.cpr.2007.07.012.
Letourneau, N. L., Duffett-Leger, L., Levac, L., Watson, B., & Young-Morris, C. (2011). Socioeconomic status and child development: a meta-analysis. Journal of Emotional and Behavioral Disorders, 21(3), 211–224. https://doi.org/10.1177/1063426611421007.
Lund, T. J., & Dearing, E. (2013). Is growing up affluent risky for adolescents or is the problem growing up in an affluent neighborhood? Journal of Research on Adolescence, 23(2), 274–282. https://doi.org/10.1111/j.1532-7795.2012.00829.x.
Luthar, S. S., Barkin, S. H., & Crossman, E. J. (2013). “I can, therefore I must”: fragility in the upper-middle classes. Development and Psychopathology, 25(4 Pt 2), 1529–1549. https://doi.org/10.1017/S0954579413000758.
Maslowsky, J., Schulenberg, J. E., & Zucker, R. A. (2014). Influence of conduct problems and depressive symptomatology on adolescent substance use: developmentally proximal versus distal effects. Developmental Psychology, 50(4), 1179–1189. https://doi.org/10.1037/a0035085.
McKernan, S. M., Ratcliffe, C., Steuerle, E., & Zhang, S. (2013). Less than equal: racial disparities in wealth accumulation. Washington, DC: Urban Institute.
Merikangas, K. R., He, J., Burstein, M., Swanson, S. A., Avenevoli, S., Cui, L., Benjet, C., Georgiades, K., & Swendsen (2010). Lifetime prevalence of mental disorders in US adolescents: results from the National Comorbidity Survey Replication–Adolescent Supplement (NCS-A). Journal of the American Academy of Child and Adolescent Psychiatry, 49, 980–989. https://doi.org/10.1016/j.jaac.2010.05.017.
Mojtabai, R., Olfson, M., & Han, B. (2016). National trends in the prevalence and treatment of depression in adolescents and young adults. Pediatrics, 138, (6). https://doi.org/10.1542/peds.2016-1878
National Institute of Mental Health (2019). Major Depression. https://www.nimh.nih.gov/health/statistics/major-depression.shtml.
Owens, A., Reardon, S. F., & Jencks, C. (2016). Income segregation between schools and school districts. American Educational Research Journal, 53(4), 1159–1197. https://doi.org/10.3102/0002831216652722.
Purpose and Design of MTF–Monitoring the Future. (n.d.). http://monitoringthefuture.org/purpose.html.
Radloff, L. S. (1977). The CES-D scale. Applied Psychological Measurement, 1(3), 385–401. https://doi.org/10.1177/014662167700100306.
Reardon, S. F. (2011). The widening academic achievement gap between the rich and the poor: new evidence and possible explanations. In G. J. Duncan & R. J. Murnane (Eds), Whither opportunity (pp. 91–116). New York, NY: Russell Sage Foundation.
Reiss, F. (2013). Socioeconomic inequalities and mental health problems in children and adolescents: a systematic review. Social Science & Medicine, 90, 24–31. https://doi.org/10.1016/j.socscimed.2013.04.026.
Reeves, R. (2017). Dream hoarders: how the American upper middle class is leaving everyone else in the dust, why that is a problem, and what to do about it. Washington DC: Brookings Institution.
Ryan, C. L., & Bauman, K. (2016). Educational attainment in the United States: 2015. Washington, DC: United States Census Bureau.
Salk, R. H., Hyde, J. S., & Abramson, L. Y. (2017). Gender differences in depression in representative national samples: Meta-analyses of diagnosesand symptoms. Psychological Bulletin, 143, 783–822. https://doi.org/10.1037/bul0000102.
Shapiro, T. M. (2017). Toxic inequality: how America’s wealth gap destroys mobility, deepens the racial divide, and threatens our future. New York: Basic Books.
Sontag-Padilla, L., Woodbridge, M. W., Mendelsohn, J., D’Amico, E. J., Osilla, K. C., Jaycox, L. H., & Stein, B. D. (2016). Factors affecting mental health service utilization among California public college and university students. Psychiatric Services, 67(8), 890–897. https://doi.org/10.1176/appi.ps.201500307.
Stone, C., Trisi, D., Sherman, A., & Taylor, R. (2018). A guide to statistics on historical trends in income inequality, Washington, DC: Center on Budget and Policy Priorities. https://www.cbpp.org/sites/default/files/atoms/files/11-28-11pov_0.pdf.
Twenge, J. M. (2015). Time period and birth cohort differences in depressive symptoms in the US, 1982–2013. Social Indicators Research, 121(2), 437–454. https://doi.org/10.1007/s11205-014-0647-1.
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018). Increases in depressive symptoms, suicide-related outcomes, and suicide rates among US adolescents after 2010 and links to increased new media screen time. Clinical Psychological Science, 6(1), 3–17. https://doi.org/10.1177/2167702617723376.
U.S. Department of Commerce, Bureau of the Census (2017). Historic income tables: households; table h-5. race and hispanic origin of householder—households by median and mean income. https://www.census.gov/data/tables/time-series/demo/incomepoverty/historical-income-households.html.
Vestal, C. (2018). Many recommend teaching mental health in schools. now two states will require it. Philadelphia, PA: Pew Charitable Trusts. https://www.pewtrusts.org/en/research-and-analysis/blogs/stateline/2018/06/15/many-recommend-teaching-mental-health-in-schools-now-two-states-will-require-it.
Weinberger, A. H., Gbedemah, M., Martinez, A. M., Nash, D., Galea, S., & Goodwin, R. D. (2018). Trends in depression prevalence in the USA from 2005 to 2015: widening disparities in vulnerable groups. Psychological Medicine, 48(8), 1308–1315.
Authors’ Contributions
R.L.C. developed the idea for the study, led methodological decision-making and interpretation of the data, and contributed to the drafting of the manuscript; M.O. participated in study development and design, performed the statistical analyses, contributed to data interpretation, and participated in manuscript preparation; B.S. participated in study development and design, and contributed to methodological decision-making, data interpretation, and the drafting of the manuscript. All authors read and approved the final manuscript.
Data Sharing and Declaration
The data analyzed in the current study were drawn from the Monitoring the Future study public-use files which can be accessed from the National Addiction & HIV Data Archive Program hosted by the Inter-university Consortium for Political and Social Research at the University of Michigan, and from a private use data agreement with the Monitoring the Future team at the University of Michigan.
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Coley, R.L., O’Brien, M. & Spielvogel, B. Secular Trends in Adolescent Depressive Symptoms: Growing Disparities between Advantaged and Disadvantaged Schools. J Youth Adolescence 48, 2087–2098 (2019). https://doi.org/10.1007/s10964-019-01084-1
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DOI: https://doi.org/10.1007/s10964-019-01084-1