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How Income and Income Inequality Drive Depressive Symptoms in U.S. Adults, Does Sex Matter: 2005–2016

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  • Hossein Zare

    (Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    School of Business, University of Maryland Global Campus (UMGC), Adelphi, MD 20774, USA)

  • Nicholas S. Meyerson

    (Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Chineze Adania Nwankwo

    (Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

  • Roland J. Thorpe

    (Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA)

Abstract

Importance: Depression is one of the leading causes of disability in the United States. Depression prevalence varies by income and sex, but more evidence is needed on the role income inequality may play in these associations. Objective: To examine the association between the Poverty to Income Ratio (PIR)—as a proxy for income—and depressive symptoms in adults ages 20 years and older, and to test how depression was concentrated among PIR. Design: Using the 2005–2016 National Health and Nutrition Examination Survey (NHANES), we employed Negative Binomial Regression (NBRG) in a sample of 24,166 adults. We used a 9-item PHQ (Public Health Questionnaire, PHQ-9) to measure the presence of depressive symptoms as an outcome variable. Additionally, we plotted a concentration curve to explain how depression is distributed among PIR. Results: In comparison with high-income, the low-income population in the study suffered more from greater than or equal to ten on the PHQ-9 by 4.5 and 3.5 times, respectively. The results of NBRG have shown that people with low-PIR (IRR: 1.30, 95% CI: 1.23–1.37) and medium-PIR (IRR: 1.55, 95% CI: 1.46–1.65) have experienced a higher relative risk ratio of having depressive symptoms. Women have a higher IRR (IRR: 1.29, 95% CI: 1.24–1.34) than men. We observed that depression was concentrated among low-PIR men and women, with a higher concentration among women. Conclusion and Relevance: Addressing depression should target low-income populations and populations with higher income inequality.

Suggested Citation

  • Hossein Zare & Nicholas S. Meyerson & Chineze Adania Nwankwo & Roland J. Thorpe, 2022. "How Income and Income Inequality Drive Depressive Symptoms in U.S. Adults, Does Sex Matter: 2005–2016," IJERPH, MDPI, vol. 19(10), pages 1-15, May.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:10:p:6227-:d:820179
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    1. Susser, Philip & Ziebarth, Nicolas R., 2016. "Profiling the US Sick Leave Landscape," IZA Discussion Papers 9709, Institute of Labor Economics (IZA).
    2. Ettner, Susan L., 1996. "New evidence on the relationship between income and health," Journal of Health Economics, Elsevier, vol. 15(1), pages 67-85, February.
    3. Hilmers, A. & Hilmers, D.C. & Dave, J., 2012. "Neighborhood disparities in access to healthy foods and their effects on environmental justice," American Journal of Public Health, American Public Health Association, vol. 102(9), pages 1644-1654.
    4. Matthew W. Ridley & Gautam Rao & Frank Schilbach & Vikram H. Patel, 2020. "Poverty, Depression, and Anxiety: Causal Evidence and Mechanisms," NBER Working Papers 27157, National Bureau of Economic Research, Inc.
    5. Du Juan & Leigh J. Paul, 2018. "Effects of Minimum Wages on Absence from Work Due to Illness," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 18(1), pages 1-23, January.
    6. Iffath Unissa Syed, 2019. "In Biomedicine, Thin Is Still In: Obesity Surveillance among Racialized, (Im)migrant, and Female Bodies," Societies, MDPI, vol. 9(3), pages 1-14, August.
    7. Paul E. Greenberg & Andree-Anne Fournier & Tammy Sisitsky & Mark Simes & Richard Berman & Sarah H. Koenigsberg & Ronald C. Kessler, 2021. "The Economic Burden of Adults with Major Depressive Disorder in the United States (2010 and 2018)," PharmacoEconomics, Springer, vol. 39(6), pages 653-665, June.
    8. Ben Jann, 2016. "Estimating Lorenz and concentration curves," Stata Journal, StataCorp LP, vol. 16(4), pages 837-866, December.
    9. Ben Jann, 2016. "Estimating Lorenz and concentration curves in Stata," University of Bern Social Sciences Working Papers 15, University of Bern, Department of Social Sciences, revised 27 Oct 2016.
    10. Henderson, Claire & Liu, Xinhua & Diez Roux, Ana V. & Link, Bruce G. & Hasin, Deborah, 2004. "The effects of US state income inequality and alcohol policies on symptoms of depression and alcohol dependence," Social Science & Medicine, Elsevier, vol. 58(3), pages 565-575, February.
    11. Felix Busch, 2020. "Gender Segregation, Occupational Sorting, and Growth of Wage Disparities Between Women," Demography, Springer;Population Association of America (PAA), vol. 57(3), pages 1063-1088, June.
    12. Jonathan Haughton & Shahidur R. Khandker, 2009. "Handbook on Poverty and Inequality," World Bank Publications - Books, The World Bank Group, number 11985.
    13. Frederick J. Zimmerman & Wayne Katon, 2005. "Socioeconomic status, depression disparities, and financial strain: what lies behind the income‐depression relationship?," Health Economics, John Wiley & Sons, Ltd., vol. 14(12), pages 1197-1215, December.
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