Answers are grounded in this paper and cite their sources.
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.
No takes yet. Share an insight, caveat, or question.
Watson et al. (2012) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: