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Unequal depression for equal work? How the wage gap explains gendered disparities in mood disorders

Overview of attention for article published in Social Science & Medicine, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 14,002)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
53 news outlets
blogs
6 blogs
policy
5 policy sources
twitter
26 X users
facebook
2 Facebook pages
googleplus
1 Google+ user
reddit
6 Redditors

Readers on

mendeley
259 Mendeley
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Article details
Title
Unequal depression for equal work? How the wage gap explains gendered disparities in mood disorders
Published in
Social Science & Medicine, December 2015
DOI 10.1016/j.socscimed.2015.11.056
Pubmed ID
Authors
Abstract

Mood disorders, such as depression and anxiety, are more prevalent among women than men. This disparity may be partially due to the effects of structural gender discrimination in the work force, which acts to perpetuate gender differences in opportunities and resources and may manifest as the gender wage gap. We sought to quantify and operationalize the wage gap in order to explain the gender disparity in depression and anxiety disorders, using data from a 2001-2002 US nationally representative survey of 22,581 working adults ages 30-65. Using established Oaxaca-Blinder decomposition methods to account for gender differences in individual-level productivity, our models reduced the wage gap in our sample by 13.5%, from 54% of men's pay to 67.5% of men's pay. We created a propensity-score matched sample of productivity indicators to test if the direction of the wage gap moderated the effects of gender on depression or anxiety. Where female income was less than the matched male counterpart, odds of both disorders were significantly higher among women versus men (major depressive disorder OR: 2.43, 95% CI: 1.95-3.04; generalized anxiety disorder OR: 4.11, 95% CI: 2.80-6.02). Where female income was greater than the matched male, the higher odds ratios for women for both disorders were significantly attenuated (Major Depressive Disorder OR: 1.20; 95% CI: 0.96-1.52) (Generalized Anxiety Disorder OR: 1.5; 95% CI: 1.04-2.29). The test for effect modification by sex and wage gap direction was statistically significant for both disorders. Structural forms of discrimination may explain mental health disparities at the population level. Beyond prohibiting overt gender discrimination, policies must be created to address embedded inequalities in procedures surrounding labor markets and compensation in the workplace.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 26 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 259 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 259 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 30 12%
Researcher 30 12%
Student > Bachelor 28 11%
Student > Ph. D. Student 20 8%
Student > Doctoral Student 11 4%
Other 36 14%
Unknown 104 40%
Readers by discipline
Readers by discipline Count As %
Social Sciences 33 13%
Psychology 26 10%
Medicine and Dentistry 22 8%
Nursing and Health Professions 17 7%
Economics, Econometrics and Finance 11 4%
Other 36 14%
Unknown 114 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 478. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 September 2025.
All research outputs
#70,995
of 34,307,719 outputs
Outputs from Social Science & Medicine
#47
of 14,002 outputs
Outputs of similar age
#786
of 444,573 outputs
Outputs of similar age from Social Science & Medicine
#1
of 136 outputs
Altmetric has tracked 34,307,719 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,002 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.4. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 444,573 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.