Abstract
Some markers of social disadvantage are associated robustly with depressive symptoms among adolescents: female gender and lower socioeconomic status (SES), respectively. Others are associated equivocally, notably black v. white race/ethnicity. Few studies examine whether markers of social disadvantage by gender, SES, and race/ethnicity jointly predict self-reported depressive symptoms during adolescence; this was our goal. Secondary analyses were conducted on data from a socioeconomically diverse community-based cohort study of non-Hispanic black and white adolescents (N = 1,263, 50.4% female). Multivariable general linear models tested whether female gender, black race/ethnicity, and lower SES (assessed by parent education and household income) and their interactions predicted greater depressive symptoms reported on the Center for Epidemiological Studies Depression Scale. Models adjusted for age and pubertal status. Univariate analyses revealed more depressive symptoms in females, blacks, and participants with lower SES. Multivariable models showed females across both racial/ethnic groups reported greater depressive symptoms; blacks demonstrated more depressive symptoms than did whites, but when SES was included this association disappeared. Exploratory analyses suggested blacks gained less mental health benefit from increased SES. However, there were no statistically significant interactions among gender, race/ethnicity, or SES. Taken together, we conclude that complex patterning among low social status domains within gender, race/ethnicity, and SES predicts depressive symptoms among adolescents.
References
Bowleg, L. (2008). When Black + Lesbian + Woman ≠ Black Lesbian Woman: The methodological challenges of qualitative and quantitative intersectionality research. Sex Roles, 59(5–6), 312–325.
Casper, R. C., Belanoff, J., & Offer, D. (1996). Gender differences, but no racial group differences, in self-reported psychiatric symptoms in adolescents. Journal of the American Academy of Child and Adolescent Psychiatry, 35(4), 500–508.
Chen, Y., Subramanian, S. V., Acevedo-Garcia, D., & Kawachi, I. (2005). Women’s status and depressive symptoms: A multilevel analysis. Social Science and Medicine, 60(1), 49–60.
Colditz, G. A., Sellers, T. A., & Trapido, E. (2006). Epidemiology—identifying the causes and preventability of cancer? Nature Reviews Cancer, 6(1), 75–83.
Cole, E. R. (2009). Intersectionality and research in psychology. American Psychologist, 64(3), 170–180.
Cole, E. R., & Omari, S. R. (2003). Race, class and the dilemmas of upward mobility for African Americans. Journal of Social Issues, 59(4), 785–802.
Copeland, W. E., Shanahan, L., Costello, E. J., & Angold, A. (2009). Childhood and adolescent psychiatric disorders as predictors of young adult disorders. Archives of General Psychiatry, 66(7), 764–772.
Costello, E. J., Pine, D. S., Hammen, C., March, J. S., Plotsky, P. M., Weissman, M. M., et al. (2002). Development and natural history of mood disorders. Biological Psychiatry, 52(6), 529–542.
Costello, D. M., Swendsen, J., Rose, J. S., & Dierker, L. C. (2008). Risk and protective factors associated with trajectories of depressed mood from adolescence to early adulthood. Journal of Consulting and Clinical Psychology, 76(2), 173–183.
Cummings, J. L., & Jackson, P. B. (2008). Race, gender, and SES disparities in self-assessed health, 1974–2004. Research on Aging, 30(2), 137–168.
Dolan, L. M., Bean, J., D’Alessio, D., Cohen, R. M., Morrison, J. A., Goodman, E., et al. (2005). Frequency of abnormal carbohydrate metabolism and diabetes in a population-based screening of adolescents. Journal of Pediatrics, 146(6), 751–758.
Franko, D. L., Striegel-Moore, R. H., Bean, J., Barton, B. A., Biro, F., Kraemer, H. C., et al. (2005). Self-reported symptoms of depression in late adolescence to early adulthood: A comparison of African American and Caucasian females. Journal of Adolescent Health, 37(6), 526–529.
Gilman, S. E., Kawachi, I., Fitzmaurice, G. M., & Buka, S. L. (2002). Socioeconomic status in childhood and the lifetime risk of major depression. International Journal of Epidemiology, 31(2), 359–367.
Gilman, S. E., Kawachi, I., Fitzmaurice, G. M., & Buka, S. L. (2003). Socio-economic status, family disruption and residential stability in childhood: Relation to onset, recurrence and remission of major depression. Psychological Medicine, 33(8), 1341–1355.
Goodman, E. (1999). The role of socioeconomic status gradients in explaining differences in US adolescents’ health. American Journal of Public Health, 89(10), 1522–1528.
Goodman, E., Adler, N. E., Daniels, S. R., Morrison, J. A., Slap, G. B., & Dolan, L. M. (2003). Impact of objective and subjective social status on obesity in a biracial cohort of adolescents. Obesity Research, 11(8), 1018–1026.
Goodman, E., Daniels, S. R., & Dolan, L. M. (2007a). Socioeconomic disparities in insulin resistance: Results from the Princeton school district study. Psychosomatic Medicine, 69(1), 61–67.
Goodman, E., Huang, B., Schafer-Kalkhoff, T., & Adler, N. E. (2007b). Perceived socioeconomic status: A new type of identity that influences adolescents’ self-rated health. Journal of Adolescent Health, 41(5), 479–487.
Goodman, E., McEwen, B. S., Dolan, L. M., Schafer-Kalkhoff, T., & Adler, N. E. (2005a). Social disadvantage and adolescent stress. Journal of Adolescent Health, 37(6), 484–492.
Goodman, E., McEwen, B. S., Huang, B., Dolan, L. M., & Adler, N. E. (2005b). Social inequalities in biomarkers of cardiovascular risk in adolescence. Psychosomatic Medicine, 67(1), 9–15.
Grabe, S., & Hyde, J. S. (2006). Ethnicity and body dissatisfaction among women in the United States: A meta-analysis. Psychological Bulletin, 132(4), 622–640.
Graber, J. A., Lewinsohn, P. M., Seeley, J. R., & Brooks-Gunn, J. (1997). Is psychopathology associated with the timing of pubertal development? Journal of the American Academy of Child and Adolescent Psychiatry, 36(12), 1768–1776.
Grant, K., Lyons, A., Landis, D., Cho, M. H., Scudiero, M., Reynolds, L., et al. (1999). Gender, body image, and depressive symptoms among low-income African American adolescents. Journal of Social Issues, 55(2), 299–315.
Inhorn, M. C., & Whittle, K. L. (2001). Feminism meets the “new” epidemiologies: Toward an appraisal of antifeminist biases in epidemiological research on women’s health. Social Science and Medicine, 53(5), 553–567.
Jackson, P. B., & Stewart, Q. T. (2003). A research agenda for the black middle class: Work stress, survival strategies, and mental health. Journal of Health and Social Behavior, 44(3), 442–455.
Jackson, P. B., & Williams, D. R. (2006). The intersection of race, gender, and SES: Health paradoxes. In A. J. Schulz & L. Mullings (Eds.), Gender, race, class, and health: Intersectional approaches (pp. 131–162). San Francisco, CA US: Jossey-Bass.
Johnson, J. G., Cohen, P., & Kasen, S. (2009). Minor depression during adolescence and mental health outcomes during adulthood. British Journal of Psychiatry, 195(3), 264–265.
Jun, H. J., Subramanian, S. V., Gortmaker, S., & Kawachi, I. (2004). A multilevel analysis of women’s status and self-rated health in the United States. Journal of the American Medical Women’s Association, 59(3), 172–180.
Kawachi, I., Adler, N. E., & Dow, W. H. (2010). Money, schooling, and health: Mechanisms and causal evidence. Annals of the New York Academy of Sciences, 1186, 56–68.
Kawachi, I., Daniels, N., & Robinson, D. E. (2005). Health disparities by race and class: Why both matter. Health Affairs, 24(2), 343–352.
King, D. K. (1988). Multiple jeopardy, multiple consciousness: The context of a black feminist ideology. Signs: Journal of Women in Culture and Society, 14(1), 42–72.
Krieger, N. (2005). Embodiment: A conceptual glossary for epidemiology. Journal of Epidemiology and Community Health, 59(5), 350–355.
Krieger, N., Rowley, D. L., Herman, A. A., Avery, B., & Phillips, M. T. (1993). Racism, sexism, and social class: Implications for studies of health, disease, and well-being. American Journal of Preventive Medicine, 9(6 Supplement), 82–122.
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(1), 341–378.
Kristman, V., Manno, M., & Côté, P. (2004). Loss to follow-up in cohort studies: How much is too much? European Journal of Epidemiology, 19(8), 751–760.
Mahalingam, R., & Jackson, B. (2007). Idealized cultural beliefs about gender: Implications for mental health. Social Psychiatry and Psychiatric Epidemiology, 42(12), 1012–1023.
McLeod, J. D., & Owens, T. J. (2004). Psychological well-being in the early life course: Variations by socioeconomic status, gender, and race/ethnicity. Social Psychology Quarterly, 67(3), 257–278.
Mendelson, T., Kubzansky, L. D., Datta, G. D., & Buka, S. L. (2008). Relation of female gender and low socioeconomic status to internalizing symptoms among adolescents: A case of double jeopardy? Social Science and Medicine, 66(6), 1284–1296.
Nolen-Hoeksema, S., & Girgus, J. S. (1994). The emergence of gender differences in depression during adolescence. Psychological Bulletin, 115(3), 424–443.
Osborne, J. (2002). Notes on the use of data transformations. Practical Assessment, Research & Evaluation, 8(6) Retrieved December 2, 2005 from http://PAREonline.net/getvn.asp?v=8&n=6.
Perreira, K. M., Deeb-Sossa, N., Harris, K. M., & Bollen, K. (2005). What are we measuring? An evaluation of the CES-D across race/ethnicity and immigrant generation. Social Forces, 83(4), 1567–1602.
Petersen, A. C., Compas, B. E., Brooks-Gunn, J., Stemmler, M., Ey, S., & Grant, K. E. (1993). Depression in adolescence. American Psychologist, 48(2), 155–168.
Pumariega, A. J., Johnson, N. P., Sheridan, D., & Cuffe, S. P. (1996). The influence of race and gender on depressive and substance abuse symptoms in high-risk adolescents. Cultural Diversity and Mental Health, 2(2), 115–123.
Purdie-Vaughns, V., & Eibach, R. P. (2008). Intersectional invisibility: The distinctive advantages and disadvantages of multiple subordinate-group identities. Sex Roles, 59(5–6), 377–391.
Radloff, L. S. (1977). The CES-D scale: A self-report depression scale for research in the general population. Applied Psychological Measurement, 1(3), 385–401.
Radloff, L. S. (1991). The use of the Center for Epidemiologic Studies Depression Scale in adolescents and young adults. Journal of Youth and Adolescence, 20(2), 149–166.
Roberts, R. E., Roberts, C. R., & Chen, Y. R. (1997). Ethnocultural differences in prevalence of adolescent depression. American Journal of Community Psychology, 25(1), 95–110.
Santor, D. A., Zuroff, D. C., Ramsay, J. O., Cervantes, P., & Palacios, J. (1995). Examining scale discriminability in the BDI and CES-D as a function of depressive severity. Psychological Assessment, 7(2), 131–139.
Schraedley, P. K., Gotlib, I. H., & Hayward, C. (1999). Gender differences in correlates of depressive symptoms in adolescents. Journal of Adolescent Health, 25(2), 98–108.
Sellers, R. M., Copeland-Linder, N., Martin, P. P., & Lewis, R. L. (2006). Racial identity matters: The relationship between racial discrimination and psychological functioning in African American adolescents. Journal of Research on Adolescence, 16(2), 187–216.
Siegel, J. M., Aneshensel, C. S., Taub, B., Cantwell, D. P., & Driscoll, A. K. (1998). Adolescent depressed mood in a multiethnic sample. Journal of Youth and Adolescence, 27(4), 413–427.
Takeuchi, D. T., Williams, D. R., & Adair, R. K. (1991). Economic stress in the family and children’s emotional and behavioral problems. Journal of Marriage and Family, 53(4), 1031–1041.
Thompson, M., & Sekaquaptewa, D. (2002). When being different is detrimental: Solo status and the performance of women and racial minorities. Analyses of Social Issues and Public Policy, 2(1), 183–203.
Tracy, M., Zimmerman, F. J., Galea, S., McCauley, E., & Vander Stoep, A. (2008). What explains the relation between family poverty and childhood depressive symptoms? Journal of Psychiatric Research, 42(14), 1163–1175.
Van Voorhees, B. W., Paunesku, D., Kuwabara, S. A., Basu, A., Gollan, J., Hankin, B. L., et al. (2008). Protective and vulnerability factors predicting new-onset depressive episode in a representative of U.S. adolescents. Journal of Adolescent Health, 42(6), 605–616.
Walsemann, K. M., Gee, G. C., & Geronimus, A. T. (2009). Ethnic differences in trajectories of depressive symptoms: Disadvantage in family background, high school experiences, and adult characteristics. Journal of Health and Social Behavior, 50(1), 82–98.
Warner, L. R. (2008). A best practices guide to intersectional approaches in psychological research. Sex Roles, 59(5–6), 454–463.
Weissman, M. M., Wolk, S., Goldstein, R. B., Moreau, D., Adams, P., Greenwald, S., et al. (1999). Depressed adolescents grown up. Journal of the American Medical Association, 281(18), 1707–1713.
Wight, R. G., Aneshensel, C. S., Botticello, A. L., & Sepulveda, J. E. (2005). A multilevel analysis of ethnic variation in depressive symptoms among adolescents in the United States. Social Science and Medicine, 60(9), 2073–2084.
Williams, D. R., & Jackson, P. B. (2005). Social sources of racial disparities in health. Health Affairs, 24(2), 325–334.
Acknowledgments
This project was supported by grant #2151 from the WT Grant Foundation and National Institutes of Health grant HD41527. Portions of this manuscript were presented at the Association for Psychological Science 19th Annual Convention. The authors thank the students, parents, teachers, and administrators of the Princeton City School District and the PSD Study staff. Thanks also to Christina Souza and Victoria Churchill for support with manuscript preparation.
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Jackson, B., Goodman, E. Low Social Status Markers: Do They Predict Depressive Symptoms in Adolescence?. Race Soc Probl 3, 119–128 (2011). https://doi.org/10.1007/s12552-011-9047-1
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DOI: https://doi.org/10.1007/s12552-011-9047-1