Table of Contents Author Guidelines Submit a Manuscript
ISRN Psychiatry
Volume 2012 (2012), Article ID 432321, 8 pages
Research Article

Factors Associated with Anxiety and Depression among African American and White Women

1Department of Urban Planning and Policy, University of Illinois at Chicago, 412 S. Peoria, Room 215, MC 348, Chicago, IL 60607, USA
2University of Chicago School of Social Service Administration, Chicago, IL 60637, USA
3University of Chicago Medical Center, 5841 South Maryland Avenue, MC 5000, Chicago, IL 60637, USA
4Section of Hospital Medicine and MacLean Center for Medical Ethics, University of Chicago Medical Center, 5841 South Maryland Avenue, MC 5000, Chicago, IL 60637, USA

Received 5 October 2011; Accepted 25 October 2011

Academic Editors: C. R. Bowie, C. U. Lee, and C. Toni

Copyright © 2012 Kalycia Trishana Watson et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Background. We examined factors associated with depression and anxiety in a cohort of low-income Baltimore women. Methods. We used Pathways to Adulthood data, a cohort of adults aged 27 to 33 who were born in Baltimore between 1960 and 1965. Our outcomes were a score of >4 on the General Health Questionnaire (GHQ-28) across the depression or anxiety domains. Linear regression clustered on census tract was used for multivariate analysis. Results. In multivariable analyses, unmarried women, White women, those with lower self-rated health, and younger mothers had higher depression scores. Only lower self-rated health and White race were associated with a higher anxiety score. Neither neighborhood poverty nor racial composition was a predictor for anxiety or depression; however, the significant risk factors cluster in disadvantaged neighborhoods. Conclusion. Our work highlights the importance of universal screening for depression or anxiety with more in-depth surveillance based on risk factors rather than on race.