Wage gap linked to higher rates of depression and anxiety among women
New research from Columbia University’s Mailman School of Public Health finds a strong association between the gender wage gap and elevated rates of major depressive disorder and generalized anxiety disorder among U.S. working women. The study, published in Social Science & Medicine, analyzed nationally representative data to assess whether women who earn less than comparable men face greater risks for mood and anxiety disorders.
Overall, women in the United States are diagnosed with depression and anxiety at substantially higher rates than men. This study refines that picture by showing the disparity varies depending on a woman’s earnings relative to a similarly qualified male peer. Women whose pay was lower than matched male counterparts had dramatically higher odds of past-year major depression and generalized anxiety disorder. In contrast, women whose earnings matched or exceeded comparable men showed no greater risk of major depression and substantially lower risk of anxiety when compared with men.
The analysis used a 2001–2002 U.S. nationally representative sample of 22,581 working adults aged 30–65 and applied Diagnostic and Statistical Manual (DSM-IV) criteria to identify cases of major depressive disorder and generalized anxiety disorder. Researchers matched men and women on education, years of experience, and other productivity indicators, then examined how the direction of the wage gap (female earnings lower, equal, or higher than matched men) modified the relationship between sex and mental health outcomes.
Key findings include markedly higher odds of mental health disorders when women earned less than a matched male counterpart. Specifically, the odds of major depressive disorder and generalized anxiety disorder were significantly greater among women in the lower-pay group. When women’s earnings equaled or surpassed the matched male comparison, their odds of major depressive disorder aligned with men’s, and the excess risk for anxiety was markedly reduced.
Lead author Jonathan Platt, a PhD student in the Department of Epidemiology, explains that these results suggest structural gender inequalities in the labor market—such as occupational sorting, lower pay for equivalent work, and unequal domestic labor—have material and psychosocial consequences that can increase vulnerability to mood and anxiety disorders. “If women internalize lower pay and diminished job value as reflecting inferior merit rather than discrimination, that psychological burden may contribute to elevated rates of depression and anxiety,” Platt says.
Katherine Keyes, PhD, assistant professor of Epidemiology and senior author, emphasizes the policy implications: “These findings indicate that gender differences in depression and anxiety are not solely biologically determined but are substantially shaped by social and structural factors. Addressing overt discrimination is essential, but eliminating embedded workplace inequalities in pay, promotion, and job valuation is also critical to reduce mental health disparities.”
The authors note that policy measures such as paid parental leave, affordable childcare, flexible work schedules, and transparent, fair compensation practices may help reduce the mental health burden linked to gendered economic disadvantage. They also call for more research into the mechanisms by which workplace discrimination and unequal compensation translate into psychiatric risk.
“Structural forms of discrimination may account for a meaningful share of gender disparities in mood and anxiety disorders across the adult population,” Keyes adds. “Understanding and intervening on the fundamental processes that perpetuate wage disparities is vital not only for fairness but also for preventing downstream mental health consequences.”
Co-authors of the study are Seth J. Prins, MPH, and Lisa Bates, ScD, both in the Department of Epidemiology. The authors report no conflicts of interest.
Funding: This research was supported in part by the National Institutes of Mental Health Psychiatric Epidemiology training grant (5-T32-MH-13043-43).
This summary was submitted to Neuroscience News by Stephanie Berger. The editors thank Stephanie for this contribution.
Source: Columbia University Mailman School of Public Health
Image Source: The image is in the public domain
Original Research: Abstract for “Unequal depression for equal work? How the wage gap explains gendered disparities in mood disorders” by Jonathan Platt, Seth Prins, Lisa Bates, and Katherine Keyes in Social Science & Medicine. Published online January 2016. doi:10.1016/j.socscimed.2015.11.056
Abstract
Unequal depression for equal work? How the wage gap explains gendered disparities in mood disorders
Mood disorders including major depression and generalized anxiety are more frequently diagnosed in women than in men, a gap that may be shaped by structural gender discrimination in the workplace. Using a 2001–2002 nationally representative U.S. survey of 22,581 working adults aged 30–65, researchers used Oaxaca-Blinder decomposition to account for individual-level productivity differences and created a matched sample of men and women with similar education, experience, and productivity indicators. The analysis found that when women earned less than matched male counterparts, their odds of major depressive disorder and generalized anxiety disorder were substantially higher (Major Depressive Disorder OR approximately 2.4; Generalized Anxiety Disorder OR approximately 4.1). When women’s earnings equaled or exceeded matched men, these elevated odds were largely reduced or eliminated. The interaction between sex and the direction of the wage gap was statistically significant for both disorders. The results suggest that structural wage disparities contribute to population-level mental health inequalities and that policy responses should extend beyond prohibiting overt discrimination to address embedded inequalities in labor market procedures and compensation.