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Income Inequality Among American States and the Incidence of Major Depression

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Specialty Health Services
Date 2013 Sep 26
PMID 24064745
Citations 38
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Abstract

Background: Although cross-sectional and ecological studies have shown that higher area-level income inequality is related to increased risk for depression, few longitudinal studies have been conducted. This investigation examines the relationship between state-level income inequality and major depression among adults participating in a population-based, representative longitudinal study.

Methods: We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n=34 653). Respondents completed structured diagnostic interviews at baseline (2001-2002) and follow-up (2004-2005). Weighted multilevel modelling was used to determine if U.S. state-level income inequality (measured by the Gini coefficient) was a significant predictor of depression at baseline and at follow-up, while controlling for individual-level and state-level covariates. We also repeated the longitudinal analyses, excluding those who had a history of depression or at baseline, in order to test whether income inequality was related to incident depression.

Results: State-level inequality was associated with increased incidence of depression among women but not men. In comparison to women residing in states belonging to the lowest quintile of income inequality, women were at increased risk for depression in the second (OR=1.18, 95% CI 0.86 to 1.62), third (OR=1.22, 95% CI 0.91 to 1.62), fourth (OR=1.37, 95% CI 1.03 to 1.82) and fifth (OR=1.50, 95% CI 1.14 to 1.96) quintiles at follow-up (p<0.05 for the linear trend).

Conclusions: Living in a state with higher income inequality increases the risk for the development of depression among women.

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References
1.
Adjaye-Gbewonyo K, Kawachi I . Use of the Yitzhaki Index as a test of relative deprivation for health outcomes: a review of recent literature. Soc Sci Med. 2012; 75(1):129-37. DOI: 10.1016/j.socscimed.2012.03.004. View

2.
Jun H, Subramanian S, Gortmaker S, Kawachi I . A multilevel analysis of women's status and self-rated health in the United States. J Am Med Womens Assoc (1972). 2004; 59(3):172-80. View

3.
Cifuentes M, Sembajwe G, Tak S, Gore R, Kriebel D, Punnett L . The association of major depressive episodes with income inequality and the human development index. Soc Sci Med. 2008; 67(4):529-39. DOI: 10.1016/j.socscimed.2008.04.003. View

4.
Henderson C, Liu X, Diez Roux A, Link B, Hasin D . The effects of US state income inequality and alcohol policies on symptoms of depression and alcohol dependence. Soc Sci Med. 2003; 58(3):565-75. DOI: 10.1016/s0277-9536(03)00228-4. View

5.
Grant B, Goldstein R, Chou S, Huang B, Stinson F, Dawson D . Sociodemographic and psychopathologic predictors of first incidence of DSM-IV substance use, mood and anxiety disorders: results from the Wave 2 National Epidemiologic Survey on Alcohol and Related Conditions. Mol Psychiatry. 2008; 14(11):1051-66. PMC: 2766434. DOI: 10.1038/mp.2008.41. View