Hostname: page-component-76fb5796d-dfsvx Total loading time: 0 Render date: 2024-04-27T02:13:12.048Z Has data issue: false hasContentIssue false

Unpacking the link between socioeconomic status and behavior problems: A second-order meta-analysis

Published online by Cambridge University Press:  27 September 2018

Kevin M. Korous*
Affiliation:
Arizona State University
José M. Causadias
Affiliation:
Arizona State University
Robert H. Bradley
Affiliation:
Arizona State University
Suniya S. Luthar
Affiliation:
Arizona State University
*
Address correspondence and reprint requests to: Kevin M. Korous, T. Denny Sanford School of Social and Family Dynamics, Arizona State University, Cowden Family Resources Building, 850 South Cady Mall, Tempe, AZ 85281; E-mail: kkorous@asu.edu.

Abstract

Substantial evidence links socioeconomic status to internalizing and externalizing behavior problems. However, it is unclear how these two categories of behavior problems relate to specific components of socioeconomic status (e.g., income, educational attainment, and occupational prestige) or overall social status. In this study, we conducted a second-order meta-analysis to estimate the average associations of income, education, occupation, and overall socioeconomic status with internalizing and externalizing behavior problems, and to examine if age, sex, and race/ethnicity moderated these associations. Our systematic search in PsycINFO, PubMed, Google Scholar, Web of Science, and ProQuest Dissertations and Theses Global identified 12 meta-analyses (17% unpublished), including approximately 474 primary studies and 327,617 participants. In relation to internalizing, we found small average associations with income, r+ = –.18, 95% confidence interval (CI) [–.31, –.04], and education, r+ = –.12, 95% CI [–.15, –.09]. In relation to externalizing, we found smaller associations with income, r+ = –.02, 95% CI [–.15, .10], education, r+ = –.03, 95% CI [–.16, .10], and overall socioeconomic status, r+ = –.05, 95% CI [–.11, .01], but these CIs included zero. Only sex composition of the samples moderated the latter association. We provide recommendations for best practices and future research directions.

Type
Special Issue Articles
Copyright
Copyright © Cambridge University Press 2018 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Footnotes

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. We thank Gary Evans for his feedback on an earlier version of this manuscript. We also thank Karina Cahill, Annabella Gallagher, and Hannah Pyatetskiy for assisting with coding.

References

Achenbach, T., Bird, H., Canino, G., Phares, V., Gould, M. S., & Rubio-Stipec, M. (1990). Epidemiological comparisons of Puerto Rican and U.S. mainland children: Parent, teacher and self-reports. Journal of the American Academy of Child & Adolescent Psychiatry, 29, 8493. doi:10.1097/00004583-199001000-00014Google Scholar
Adler, N. E., Boyce, T., Chesney, M. A., Cohen, S., Folkman, S., Kahn, R. L., & Syme, S. L. (1994). Socioeconomic status and health: The challenge of the gradient. American Psychologist, 49, 1524. doi:10.1037/0003-066x.49.1.15Google Scholar
Albert, I., & Trommsdorff, G. (2014). The role of culture in social development over the life span: An interpersonal relations approach. Online Readings in Psychology and Culture, 6, 130. doi:10.9707/2307-0919.1057Google Scholar
Alonso, J., Angermeyer, M. C., Bernert, S., Bruffaerts, R., Brugha, T. S., Bryson, H., … Haro, J. M. (2004). Prevalence of mental disorders in Europe: Results from the European Study of the Epidemiology of Mental Disorders (ESEMeD) project. Acta Psychatria Scandanavia, 109, 2127.Google Scholar
American Psychological Association, Task Force on Socioeconomic Status. (2007). Report of the APA task force on socioeconomic status. Washington, DC: Author.Google Scholar
Anderson, N. B., & Armstead, C. A. (1995). Toward understanding the association of socioeconomic status and health. Psychosomatic Medicine, 57, 213225. doi:10.1097/00006842-199505000-00003Google Scholar
Ansary, N. S., & Luthar, S. S. (2009). Distress and academic achievement among adolescents of affluence: A study of externalizing and internalizing problem behaviors and school performance. Development and Psychopathology, 21, 319341. doi:10.1017/S0954579409000182Google Scholar
Assari, S., & Lankarani, M. M. (2016). Stressful life events and risk of depression 25 years later: Race and gender differences. Frontiers in Public Health, 4, 110. doi:10.3389/fpubh.2016.00049Google Scholar
Bauldry, S. (2015). Variation in the protective effect of higher education on depression. Society and Mental Health, 5, 145161. doi:10.1177/21568693145764399Google Scholar
Becker, B. J. (2000). Multivariate meta-analysis. In Tinsley, H. E. A. & Brown, S. D. (Eds.), Handbook of applied multivariate statistics and mathematical modeling (pp. 499525). San Diego, CA: Academic Press.Google Scholar
Bjelland, I., Krokstad, S., Mykletun, A., Dahl, A. A., Tell, G. S., & Tambs, K. (2008). Does a higher educational level protect against anxiety and depression? The HUNT study. Social Science & Medicine, 66, 13341345. doi:10.1016/j.socscimed.2007.12.019Google Scholar
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. London: Wiley.Google Scholar
Bracke, P., Pattyn, E., & von dem Knesebeck, O. (2013). Overeducation and depressive symptoms: Diminishing mental health returns to education. Sociology of Health & Illness, 35, 12421259. doi:10.1111/1467-9566.12039Google Scholar
Bradley, R. H. (2016). Socioeconomic status. In Friedman, H. S. (Ed.), Encyclopedia of mental health (pp. 196210). Waltham, MA: Academic Press.Google Scholar
Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53, 371399. doi:10.1146/annurev.psych.53.100901.135233Google Scholar
Braveman, P. A., Cubbin, C., Egerter, S., Chideya, S., Marchi, K. S., Metzler, M., & Posner, S. (2005). Socioeconomic status in health research. Journal of the American Medical Association, 294, 28792888. doi:10.1001/jama.294.22.2879Google Scholar
Breslau, J., Aguilar-Gaxiola, S., Kendler, K. S., Su, M., Williams, D., & Kessler, R. C. (2006). Specifying race-ethnic differences for psychiatric disorder in a US national sample. Psychological Medicine, 36, 5768. doi:10.1017/s0033291705006161Google Scholar
Bronfenbrenner, U., & Evans, G. W. (2000). Developmental science in the 21st century: Emerging questions, theoretical models, research designs and empirical findings. Social Development, 9, 115125. doi:10.1111/1467-9507.00114Google Scholar
Calarco, J. M. (2014). Coached for the classroom: Parents’ cultural transmission and children's reproduction of educational inequalities. American Sociological Review, 79, 10151037. doi:10.1177/0003122414546931Google Scholar
Card, N. A. (2012). Applied meta-analysis for social science research. New York: Guilford Press.Google Scholar
Causadias, J. M. (2013). A roadmap for the integration of culture into developmental psychopathology. Development and Psychopathology, 25, 13751398. doi:10.1017/s0954579413000679Google Scholar
Causadias, J. M., & Korous, K. M. (2018). How are genes related to culture? Introduction to the field of cultural genomics. In Causadias, J. M., Telzer, E. H., & Gonzales, N. A. (Eds.), The handbook of culture and biology (pp. 153177). New York: Wiley.Google Scholar
Causadias, J. M., Korous, K. M., & Cahill, K. (in press). Are Whites and minorities more similar than different? Testing the cultural similarities hypothesis on psychopathology with a second order meta-analysis. Development and Psychopathology.Google Scholar
Causadias, J. M., Telzer, E. H., & Gonzales, N. A. (2018). Introduction to culture and biology interplay. In Causadias, J. M., Telzer, E. H., & Gonzales, N.A. (Eds.), The handbook of culture and biology (pp. 329). New York: Wiley.Google Scholar
Causadias, J. M., Telzer, E. H., & Lee, R. M. (2017). Culture and biology interplay: An introduction. Cultural Diversity and Ethnic Minority Psychology, 23, 14. doi:10.1037/cdp0000121Google Scholar
Causadias, J. M., Vitriol, J. A., & Atkin, A. L. (2018a). Do we overemphasize the role of culture in the behavior of racial/ethnic minorities? Evidence of a cultural (mis)attribution bias in American Psychology. American Psychologist, 73, 243255. doi:10.1037/amp0000099Google Scholar
Causadias, J. M., Vitriol, J. A., & Atkin, A. L. (2018b). The cultural (mis)attribution bias in developmental psychology in the United States. Journal of Applied Developmental Psychology. doi:10.1016/j.appdev.2018.01.003Google Scholar
Chan, Y., Dennis, J. L., & Funk, R. R. (2008). Prevalence and comorbidity of major internalizing and externalizing problems in adolescents and adults presenting to substance abuse treatment. Journal of Substance Abuse Treatment, 34, 1424. doi:10.1016/j.jsat.2006.12.031Google Scholar
Chazelle, E., Lemogne, C., Morgan, K., Kelleher, C. C., Chastang, J., & Niedhammer, I. (2011). Explanations for educational differences in major depression and generalized anxiety disorder in the Irish population. Journal of Affective Disorders, 134, 304314. doi:10.1016/j.jad.2011.05.049Google Scholar
Chen, E., Matthews, K. A., & Boyce, W. T. (2002). Socioeconomic differences in children's health: How and why do these relationships change with age? Psychological Bulletin, 128, 295329. doi:10.1037//0033-2909.128.2.295Google Scholar
Cicchetti, D. (1984). The emergence of developmental psychopathology. Child Development, 55, 17. doi:10.2307/1129830Google Scholar
Cicchetti, D., & Cohen, D. J. (1995). Perspectives on developmental psychopathology. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology (pp. 320). New York: Wiley.Google Scholar
Cicchetti, D., & Rogosch, F. A. (1996). Equifinality and multifinality in developmental psychopathology. Development and Psychopathology, 8, 597600. doi:10.1017/s0954579400007318Google Scholar
Ciciolla, L., Curlee, A. S., & Luthar, S. S. (2017). What women want: Employment preference and adjustment among mothers. Journal of Family and Economic Issues, 38, 494513. doi:10.1007/s10834-017-9534-7Google Scholar
Cohen, A. B. (2009). Many forms of culture. American Psychologist, 64, 194204. doi:10.1037/a0015308Google Scholar
Cohen, J. (1992). A power primer. Psychological Bulletin, 112, 155159. doi:10.1037/0033-2909.112.1.155Google Scholar
Coley, R. L., Sims, J., Dearing, E., & Spielvogel, B. (2017). Locating economic risks for adolescent mental and behavioral health: Poverty and affluence in families, neighborhoods, and schools. Child Development. Advance online publication. doi:10.1111/cdev.12771Google Scholar
Comeau, J., & Boyle, M. H. (2018). Patterns of poverty exposure and children's trajectories of externalizing and internalizing behaviors. SSM—Population Health, 4, 8694. doi:10.1016/j.ssmph.2017.11.012Google Scholar
Conger, R. D., Conger, K. J., & Martin, M. J. (2010). Socioeconomic status, family processes, and individual development. Journal of Marriage and Family, 72, 685704. doi:10.1111/j.1741-3737.2010.00725.xGoogle Scholar
Conger, R. D., & Donnellan, M. B. (2007). An interactionist perspective on the socioeconomic context of human development. Annual Review of Psychology, 58, 175199. doi:10.1146/annurev.psych.58.110405.085551Google Scholar
Cosgrove, V. E., Rhee, S. H., Gelhorn, H. L., Boeldt, D., Corley, R. C., Ehringer, M. A., … Hewitt, J. K. (2010). Structure and etiology of co-occurring internalizing and externalizing disorders in adolescents. Journal of Abnormal Child Psychology, 39, 109123. doi:10.1007/s10802-010-9444-8Google Scholar
Cowan, C. D., Hauser, R. M., Kominski, R. A., Levin, H. M., Lucas, S. R., Morgan, S L., … Chapman, C. (2012). Improving the measurement of socioeconomic status for the national assessment of educational progress: A theoretical foundation. National Center for Education Statistics. Retrieved from https://nces.ed.gov/nationsreportcard/pdf/researchcenter/socioeconomic_factors.pdfGoogle Scholar
Cumming, G. (2013). The new statistics: Why and how. Psychological Science, 25, 729. doi:10.1177/0956797613504966Google Scholar
Curran, T., & Hill, A. P. (2017). Perfectionism is increasing over time: A meta-analysis of birth cohort differences from 1989–2016. Psychological Bulletin. Advance online publication. doi:10.1037/bul0000138Google Scholar
Dearing, E., McCartney, K., & Taylor, B. A. (2006). Within-child associations between family income and externalizing and internalizing problems. Developmental Psychology, 42, 237252. doi:10.1037/0012-1649.42.2.237Google Scholar
Diemer, M. A., Mistry, R. S., Wadsworth, M. E., López, I., & Reimers, F. (2013). Best practices in conceptualizing and measuring social class in psychological research. Analyses of Social Issues and Public Policy, 13, 77113. doi:10.1111/asap.12001Google Scholar
Diemer, M. A., & Rasheed Ali, S. (2009). Integrating social class into vocational psychology. Journal of Career Assessment, 17, 247265. doi:10.1177/1069072708330462Google Scholar
Dohrenwend, B., Levav, I., Shrout, P., Schwartz, S., Naveh, G., Link, B., … Stueve, A. (1992). Socioeconomic status and psychiatric disorders: The causation-selection issue. Science, 255, 946952. doi:10.1126/science.1546291Google Scholar
Duncan, G. J., & Magnuson, K. A. (2003). Off with Hollingshead: Socioeconomic resources, parenting and child development. In Bornstein, M. H. & Bradley, R. H. (Eds.), Socioeconomic status, parenting, and child development (pp. 83106). Mahwah, NJ: Erlbaum.Google Scholar
Duncan, G. J., Magnuson, K., & Votruba-Drzal, E. (2017). Moving beyond correlations in assessing the consequences of poverty. Annual Review of Psychology, 68, 413434. doi:10.1146/annurev-psych-010416-044224Google Scholar
Erola, J., Jalonen, S., & Lehti, H. (2016). Parental education, class and income over the early life course and children's achievement. Research in Social Stratification and Mobility, 44, 3343. doi:10.1016/j.rssm.2016.01.003Google Scholar
Evans, G. W. (2017). Childhood poverty and adult psychological well-being. Proceedings of the National Academy of Sciences, 113, 14949–14852. doi:10.1073/pnas.1604756114Google Scholar
Fiske, A., Wetherell, J. L., & Gatz, M. (2009). Depression in older adults. Annual Review of Clinical Psychology, 5, 363389. doi:10.1146/annurev.clinpsy.032408.153621Google Scholar
Forscher, B. K. (1963). Chaos in the brickyard. Science, 142, 339339. doi:10.1126/science.142.3590.339Google Scholar
Geisz, M. B., & Nakashian, M. (2018). Adolescent wellness: Current perspectives and future opportunities in research, policy, and practice: A learning report. Retrieved from https://www.rwjf.org/content/dam/farm/reports/issue_briefs/2018/rwjf445935/subassets/rwjf445935_1Google Scholar
Goodwin, L. D., & Leech, N. L. (2006). Understanding correlation: Factors that affect the size of r. Journal of Experimental Education, 74, 249266. doi:10.3200/jexe.74.3.249-266Google Scholar
Greitemeyer, T., & Sagioglou, C. (2016). Subjective socioeconomic status causes aggression: A test of the theory of social deprivation. Journal of Personality and Social Psychology, 111, 178194. doi:10.1037/pspi0000058Google Scholar
Gurevitch, J., Koricheva, J., Nakagawa, S., & Stewart, G. (2018). Meta-analysis and the science of research synthesis. Nature, 555, 175182. doi:10.1038/nature25753Google Scholar
Hahn, R. A., & Truman, B. I. (2015). Education improves public health and promotes health equity. International Journal of Health Services, 45, 657678. doi:10.1177/0020731415585986Google Scholar
Hankin, B. L., Snyder, H. R., Gulley, L. D., Schweizer, T. H., Bijttebier, P., Nelis, S., … Vasey, M. W. (2016). Understanding comorbidity among internalizing problems: Integrating latent structural models of psychopathology and risk mechanisms. Development and Psychopathology, 28, 9871012. doi:10.1017/s0954579416000663Google Scholar
Hicks, B. M., DeRago, A. C., Iacono, W. G., & McGue, M. (2009). Gene-environment interplay in internalizing disorders: Consistent findings across six environmental risk factors. Journal of Child Psychology and Psychiatry, 50, 13091317. doi:10.1111/j.1469-7610.2009.02100.xGoogle Scholar
Hoff-Ginsberg, E., & Tardif, T. (1995). Socioeconomic status and parenting. In Bornstein, M. H. (Ed.), Handbook of parenting: Vol. 2. Biology and ecology of parenting (pp. 161188). Hillsdale, NJ: Erlbaum.Google Scholar
Hollingshead, A. B. (1975). Four-Factor Index of Social Status. Unpublished manuscript.Google Scholar
Hout, M. (2012). Social and economic returns to college education in the United States. Annual Review of Sociology, 38, 379400. doi:10.1146/annurev.soc.012809.102503Google Scholar
*Hubbard, D. J., & Pratt, T. C. (2002). A meta-analysis of the predictors of delinquency among girls. Journal of Offender Rehabilitation, 34, 113. doi:10.1300/j076v34n03_01Google Scholar
Johnson, B. T., Scott-Sheldon, L. A. J., & Carey, M. P. (2010). Meta-synthesis of health behavior change meta-analyses. American Journal of Public Health, 100, 21932198. doi:10.2105/ajph.2008.155200Google Scholar
Kang, H.-J., Kim, S.-Y., Bae, K.-Y., Kim, S.-W., Shin, I.-S., Yoon, J.-S., & Kim, J.-M. (2015). Comorbidity of depression with physical disorders: Research and clinical Implications. Chonnam Medical Journal, 51, 818. doi:10.4068/cmj.2015.51.1.8Google Scholar
Kraus, M. W., Piff, P. K., & Keltner, D. (2011). Social class as culture: The convergence of resources and rank in the social realm. Current Directions in Psychological Science, 20, 246250. doi:10.1177/0963721411414654Google Scholar
Krieger, N., Williams, D. R., & Moss, N. E. (1997). Measuring social class in US public health research: Concepts, methodologies, and guidelines. Annual Review of Public Health, 18, 341378. doi:10.1146/annurev.publhealth.18.1.341Google Scholar
Krueger, R. F. (1999). The structure of common mental disorders. Archives of General Psychiatry, 56, 921. doi:10.1001/archpsyc.56.10.921Google Scholar
Lansford, J. E., Malone, P. S., Stevens, K. I., Dodge, K. A., Bates, J. E., & Pettit, G. S. (2006). Developmental trajectories of externalizing and internalizing behaviors: Factors underlying resilience in physically abused children. Development and Psychopathology, 18, 3555. doi:10.1017/s0954579406060032Google Scholar
*Lemstra, M., Bennett, N., Neudorf, C., Kunst, A., Nannapaneni, U., Warren, L., … Scott, C. (2008). A meta-analysis of marijuana and alcohol use by socio-economic status in adolescents aged 10-15 years. Canadian Journal of Public, 99, 172177.Google Scholar
Lerner, R. M., Johnson, S. K., & Buckingham, M. H. (2015) Relational developmental systems-based theories and the study of children and families: Lerner and Spanier (1978) revisited. Journal of Family Theory and Review, 7, 83104. doi:10.1111/jftr.12067Google Scholar
*Letourneau, N., 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, 211224. doi:10.1177/1063426611421007Google Scholar
Lewis, M., & Rudolph, K. (2014). Handbook of developmental psychopathology. New York: Springer.Google Scholar
*Li, I. (1996). Ecological contexts of delinquency: Examination of an ecological model of delinquency using meta-analytical techniques (Unpublished doctoral dissertation, Michigan State University).Google Scholar
*Li, S. (1999). A meta-analysis of the relationship between adolescent drug use and family environment (Unpublished doctoral dissertation, Northern Illinois University).Google Scholar
*Lorant, V. (2003). Socioeconomic inequalities in depression: A meta-analysis. American Journal of Epidemiology, 157, 98112. doi:10.1093/aje/kwf182Google Scholar
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, 15291549. doi:10.1017/s0954579413000758Google Scholar
Luthar, S. S., Curlee, A., Tye, S. J., Engelman, J. C., & Stonnington, C. M. (2017). Fostering resilience among mothers under stress: “Authentic Connections Groups” for medical professionals. Women's Health Issues, 27, 382390. doi:10.1016/j.whi.2017.02.007Google Scholar
Luthar, S. S., & Kumar, N. L. (2018). Youth in high-achieving schools: Challenges to mental health and directions for evidence-based interventions In Leschied, A. W., Saklofske, D. H., and Flett, G. L. (Eds.), Handbook of school-based mental health promotion: An evidence-informed framework. (pp. 441458) New York: Springer.Google Scholar
Luthar, S. S., & Kumar, N. L. (in press). How can you help children thrive in a world focused on success? In McCullough, T. & Whitaker, K. (Eds.), Wealth of wisdom: 50 questions wealthy families ask and answers from the world's top family wealth experts. New York: Wiley.Google Scholar
Luthar, S. S., & Sexton, C. C. (2007). Maternal drug abuse versus maternal depression: Vulnerability and resilience among school-age and adolescent offspring. Development and Psychopathology, 19, 205225. doi:10.1017/s0954579407070113Google Scholar
Luthar, S. S., Small, P. J., & Ciciolla, L. (2018). Adolescents from upper middle class communities: Substance misuse and addiction across early adulthood. Development and Psychopathology, 30, 315335. doi:10.1017/S0954579417000645Google Scholar
Maier, W., & Falkai, P. (1999). The epidemiology and comorbidity between depression, anxiety and somatic diseases. International Journal of Clinical Psychopharmacology, 14, 16.Google Scholar
Malhotra, K., Shim, R., Baltrus, P. B., Heiman, H. J., Adekeye, O., & Rust, G. (2015). Race/ethnic disparities in mental health service utilization among youth participating in negative externalizing behaviors. Ethnicity and Disease, 25, 123129.Google Scholar
Masten, A. S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22, 491496. doi:10.1017/S0954579410000222Google Scholar
McEwen, C. A., & McEwen, B. S. (2017). Social structure, adversity, toxic stress, and intergenerational poverty: An early childhood model. Annual Review of Sociology, 43, 445472. doi:10.1146/annurev-soc-060116-053252Google Scholar
McIntosh, W. L., Spies, E., Stone, D. M., Lokey, C. N., Trudeau, A.-R. T., & Bartholow, B. (2016). Suicide rates by occupational group—17 states, 2012. Morbidity and Mortality Weekly Report, 65, 641645. doi:10.15585/mmwr.mm6525a1Google Scholar
McLaughlin, K. A., Breslau, J., Green, J. G., Lakoma, M. D., Sampson, N. A., Zaslavsky, A. M., & Kessler, R. C. (2011). Childhood socio-economic status and the onset, persistence, and severity of DSM-IV mental disorders in a US national sample. Social Science & Medicine, 73, 10881096. doi:10.1016/j.socscimed.2011.06.011Google Scholar
McLaughlin, K. A, Costello, E. J., Leblanc, W., Sampson, N. A., & Kessler, R. C. (2012). Socioeconomic status and adolescent mental disorders. American Journal of Public Health, 102, 17542–1750. doi:10.2105/AJPH.2011.300477Google Scholar
McLaughlin, K. A., Hilt, L. M., & Nolen-Hoeksema, S. (2007). Racial/ethnic differences in internalizing and externalizing symptoms in adolescence. Journal of Abnormal Child Psychology, 35, 801816. doi:10.1007/s10802-007-9128-1Google Scholar
McLeod, J., & Shanahan, M. (1993). Poverty, parenting, and children's mental health. American Sociological Review, 58, 351366. doi:10.2307/2095905Google Scholar
McLoyd, V. C. (1998). Socioeconomic disadvantage and child development. American Psychologist, 53, 185204. doi:10.1037/0003-066x.53.2.185Google Scholar
Miech, R. A., & Shanahan, M. J. (2000). Socioeconomic status and depression over the life course. Journal of Health and Social Behavior, 41, 162176. doi:10.2307/2676303Google Scholar
Mirowsky, J., & Ross, C. E. (1998). Education, personal control, lifestyle and health. Research on Aging, 20, 415449. doi:10.1177/0164027598204003Google Scholar
Mojtabai, R., Olfson, M., & Han, B. (2016). National trends in the prevalence and treatment of depression in adolescents and young adults. Pediatrics, 138, 110. doi:10.1542/peds.2016-1878Google Scholar
Mueller, C. W., & Parcel, T. L. (1981). Measures of socioeconomic status: Alternatives and recommendations. Child Development, 52, 1330. doi:10.2307/1129211Google Scholar
Muntaner, C., Eaton, W. W., Diala, C., Kessler, R. C., & Sorlie, P. D. (1998). Social class, assets, organizational control and the prevalence of common groups of psychiatric disorders. Social Science & Medicine, 47, 20432053. doi:10.1016/s0277-9536(98)00309-8Google Scholar
Najaman, J., Hayatbakhsh, M. R., Clavarino, A., Bor, W., O'Callaghan, M. J, & Williams, G. M. (2010). Family poverty over the life course and recurrent adolescent and young adult anxiety and depression: A longitudinal study. American Journal of Public Health, 100, 17191723. doi:10.2105/ajph.2009.180943Google Scholar
Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., … Contestabile, M. (2015). Promoting an open research culture. Science, 348, 14221425. doi:10.1126/science.aab2374Google Scholar
Nuru-Jeter, A. M., Sarsour, K., Jutte, D. P., & Boyce, W. T. (2010). Socioeconomic predictors of health and development in middle childhood: Variations by socioeconomic status measure and race. Issues in Comprehensive Pediatric Nursing, 33, 5981. doi:10.3109/01460861003663953Google Scholar
Obasi, E. M., Wilborn, K. A., Cavanagh, L., Yan, S., & Ewane, E. (2018). Neurobiology of stress and drug use vulnerability in culturally diverse communities. In Causadias, J. M., Telzer, E. H., & Gonzales, N. A. (Eds.), The handbook of culture and biology (pp. 369396). New York: Wiley.Google Scholar
*O'Hara, M. W., & Swain, A. M. (1996). Rates and risk of postpartum depression: A meta-analysis. International Review of Psychiatry, 8, 3754. doi:10.3109/09540269609037816Google Scholar
Ostrove, J. M., Feldman, P., & Adler, N. E. (1999). Relations among socioeconomic status indicators and health for African-Americans and Whites. Journal of Health Psychology, 4, 451463. doi:10.1177/135910539900400401Google Scholar
Ouwehand, C., de Ridder, D., & Bensing, J. M. (2009). Who can afford to look to the future? The relationship between socio-economic status and proactive. European Journal of Public Health, 19, 412417. doi:10.1093/eurpub/ckp047Google Scholar
Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—A web and mobile app for systematic reviews. Systematic Reviews, 5, 110. doi:10.1186/s13643-016-0384-4.Google Scholar
Pastor, P. N., Reuben, C. A., & Duran, C. R. (2012). Identifying emotional and behavioral problems in children aged 4-17 years: United States, 2001–2007. National Health Statistics Reports, 48, 117.Google Scholar
Phillips, A. C., Carroll, D., & Der, G. (2015). Negative life events and symptoms of depression and anxiety: Stress causation and/or stress generation. Anxiety, Stress and Coping, 28, 357371. doi:10.1080/10615806.2015.1005078Google Scholar
*Pinquart, M., & Sörensen, S. (2000). Influences of socioeconomic status, social network, and competence on subjective well-being in later life: A meta-analysis. Psychology and Aging, 15, 187224. doi:10.1037/0882-7974.15.2.187Google Scholar
*Piotrowska, P. J., Stride, C. B., Croft, S. E., & Rowe, R. (2015). Socioeconomic status and antisocial behaviour among children and adolescents: A systematic review and meta-analysis. Clinical Psychology Review, 35, 4755. doi:10.1016/j.cpr.2014.11.003Google Scholar
Poulton, R., Caspi, A., Milne, B. J., Thomson, W. M., Taylor, A., Sears, M. R., & Moffitt, T. E. (2002). Association between children's experience of socioeconomic disadvantage and adult health: A life-course study. Lancet, 360, 16401645. doi:10.1016/s0140-6736(02)11602-3Google Scholar
Reiss, F. (2013). Socioeconomic inequalities and mental health problems in children and adolescents: A systematic review. Social Science & Medicine, 90, 2431. doi:10.1016/j.socscimed.2013.04.026Google Scholar
Rosen, L. N., Targum, S. D., Terman, M., Bryant, M. J., Hoffman, H., Kasper, S. F., … Rosenthal, N. E. (1990). Prevalence of seasonal affective disorder at four latitudes. Psychiatry Research, 31, 131144. doi:10.1016/0165-1781(90)90116-mGoogle Scholar
Rosenthal, R. (1990). How are we doing in soft psychology? American Psychologist, 45, 775777. doi:10.1037/0003-066x.45.6.775Google Scholar
Ross, C. E., & Mirowsky, J. (2006). Sex differences in the effect of education on depression: Resource multiplication or resource substitution? Social Science & Medicine, 63, 14001413. doi:10.1016/j.socscimed.2006.03.013Google Scholar
Sareen, J., Afifi, T. O., McMillan, K. A., & Asmundson, G. J. (2011). Relationship between household income and mental disorders: Findings from a population-based longitudinal study. Archives of General Psychiatry, 68, 419427. doi:10.1001/archgenpsychiatry.2011.15Google Scholar
Schwartz, B. (2000). Self-determination: The tyranny of freedom. American Psychologist, 55, 7988. doi:10.1037/0003-066x.55.1.79Google Scholar
Shavers, V. L. (2007). Measurement of socioeconomic status in health disparities research. Journal of the National Medical Association, 99, 10131023.Google Scholar
Shim, R. S., Baltrus, P., Ye, J., & Rust, G. (2011). Prevalence, treatment, and control of depressive symptoms in the United States: Results from the National Health and Nutrition Examination Survey (NHANES), 2005–2008. Journal of the American Board of Family Medicine, 24, 3338. doi:10.3122/jabfm.2011.01.100121Google Scholar
Smith, J. P. (1999). Healthy bodies and thick wallets: The dual relation between health and economic status. Journal of Economic Perspectives, 13, 145166. doi:10.1257/jep.13.2.145Google Scholar
Sorhagen, N. S., & Wurster, T. J. (2017). Income within context: Relative income matters for adolescent social satisfaction and mental health. Journal of Child Psychology and Psychiatry, 58, 736743. doi:10.1111/jcpp.12695Google Scholar
Sroufe, L. A. (1990). Considering normal and abnormal together: The essence of developmental psychopathology. Development and Psychopathology, 2, 335347. doi:10.1017/s0954579400005769Google Scholar
Stewart, L. A., Clarke, M., Rovers, M., Riley, R. D., Simmonds, M., Stewart, G., & Tierney, J. F. (2015). Preferred reporting items for a systematic review and meta-analysis of individual participant data. Journal of the American Medical Association, 313, 16571665. doi:10.1001/jama.2015.3656Google Scholar
Stoddard, S. A., Henly, S. J., Sieving, R. E., & Bolland, J. (2011). Social connections, trajectories of hopelessness, and serious violence in impoverished urban youth. Journal of Youth and Adolescence, 40, 278295. doi:10.1007/s10964-010-9580-zGoogle Scholar
Thapar, A., Collishaw, S., Pine, D. S., & Thapar, A. K. (2012). Depression in adolescence. Lancet, 379, 10561067. doi:10.1016/S0140-6736(11)60871-4Google Scholar
Thompson, B. (2007). Effect sizes, confidence intervals, and confidence intervals for effect sizes. Psychology in the Schools, 44, 423432. doi:10.1002/pits.20234Google Scholar
*Tippett, N., & Wolke, D. (2014). Socioeconomic status and bullying: A meta-analysis. American Journal of Public Health, 104, 4859. doi:10.2105/ajph.2014.301960Google Scholar
Tucker, D. M., Poulsen, C., & Luu, P. (2015). Critical periods for neurodevelopmental processes of externalizing and internalizing. Development and Psychopathology, 27, 321346. doi:10.1017/S0954579415000024Google Scholar
*Twenge, J. M., & Campbell, W. K. (2002a). Self-esteem and socioeconomic status: A meta-analytic review. Personality and Social Psychology Review, 6, 5971. doi:10.1207/s15327957pspr0601_3Google Scholar
*Twenge, J. M., & Nolen-Hoeksema, S. (2002b). Age, gender, race, socioeconomic status, and birth cohort difference on the children's depression inventory: A meta-analysis. Journal of Abnormal Psychology, 111, 578588. doi:10.1037/0021-843x.111.4.578Google Scholar
Votruba-Drzal, E. (2006). Economic disparities in middle childhood development: Does income matter? Developmental Psychology, 42, 11541167. doi:10.1037/0012-1649.42.6.1154Google Scholar
Wadsworth, M. E. (2015). Development of maladaptive coping: A functional adaptation to chronic, uncontrollable stress. Child Development Perspectives, 9, 96100. doi:10.1111/cdep.12112Google Scholar
Wadsworth, M. E., & Achenbach, T. M. (2005). Explaining the link between low socioeconomic status and psychopathology: Testing two mechanisms of the social causation hypothesis. Journal of Consulting and Clinical Psychology, 73, 11461153. doi:10.1037/0022-006x.73.6.1146Google Scholar
Wadsworth, M. E., Evans, G. W., Grant, K., Carter, J. S., & Duffy, S. (2016). Poverty and the development of psychopathology. In Cicchetti, D. (Ed.), Developmental psychopathology (pp. 136179). Hoboken, NJ: Wiley.Google Scholar
White, K. R. (1982). The relation between socioeconomic status and academic achievement. Psychological Bulletin, 91, 461481. doi:10.1037/0033-2909.91.3.461Google Scholar
Williams, D. R., & Collins, C. (1995). US socioeconomic and racial differences in health: Patterns and explanations. Annual Review of Sociology, 21, 349386. doi:10.1146/annurev.so.21.080195.002025Google Scholar
Williams, D. R., Takeuchi, D. T., & Adair, R. K. (1992). Socioeconomic status and psychiatric disorder among Blacks and Whites. Social Forces, 71, 179194. doi:10.2307/2579972Google Scholar
Williams, S., Anderson, J., McGee, R., & Silva, P. A. (1990). Risk factors for behavioral and emotional disorder in preadolescent children. Journal of the American Academy of Child & Adolescent Psychiatry, 29, 413419. doi:10.1097/00004583-199005000-00013Google Scholar
Wulsin, L., Alterman, T., Buhnell, P. T., Li, J., & Shen, R. (2014). Prevalence rates for depression by industry: A claims data base analysis. Social Psychiatry and Psychiatric Epidemiology, 49, 18051821. doi:10.1007/s00127-014-0891-3Google Scholar
Yoshikawa, H., Aber, J. L., & Beardslee, W. R. (2012). The effects of poverty on the mental, emotional, and behavioral health of children and youth. American Psychologist, 67, 272284. doi:10.1037/a0028015Google Scholar
Zahn-Waxler, C., Crick, N. R., Shirtcliff, E. A., & Woods, K. E. (2006). The origins and development of psychopathology in females and males. In Cicchetti, D. & Cohen, D. J. (Eds.), Developmental psychopathology (pp. 76138). Hoboken: Wiley.Google Scholar
Zahn-Waxler, C., Limes-Dopugan, B., & Slattery, M. J. (2000). Internalizing problems of childhood and adolescence: Prospects, pitfalls, and progress in understanding the development of anxiety and depression. Development and Psychopathology, 12, 443466. doi:10.1017/s0954579400003102Google Scholar
Zell, E., Krizan, Z., & Teeter, S. R. (2015). Evaluating gender similarities and differences using metasynthesis. American Psychologist, 70, 1020. doi:10.1037/a0038208Google Scholar
Zigler, E., & Glick, M. (1986). A developmental approach to adult psychopathology. New York: Wiley.Google Scholar