Low Social Status Markers: Do They Predict Depressive Symptoms in Adolescence?
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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.
KeywordsDepressive symptoms Adolescents Gender Socioeconomic status Race/ethnicity
- 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.CrossRefGoogle Scholar
- 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.Google Scholar
- 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.Google Scholar
- 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.Google Scholar
- 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.