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Long-term effects of mental disorders on employment in the National Comorbidity Survey ten-year follow-up

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, July 2015
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Title
Long-term effects of mental disorders on employment in the National Comorbidity Survey ten-year follow-up
Published in
Social Psychiatry and Psychiatric Epidemiology, July 2015
DOI 10.1007/s00127-015-1097-z
Pubmed ID
Authors

Ramin Mojtabai, Elizabeth A. Stuart, Irving Hwang, Ryoko Susukida, William W. Eaton, Nancy Sampson, Ronald C. Kessler

Abstract

Although significant negative associations of mental disorders with employment have been documented in epidemiological research, much of this research was based on cross-sectional samples and focused only on severe and persistent mental disorders. The present study examined the longitudinal associations of more common mental disorders with employment. Data on the associations of common mental disorders with employment are presented here from 4501 respondents in the National Comorbidity Survey panel study, a two-wave community epidemiological survey of respondents aged 15-54 at baseline (1990-1992) who were re-interviewed in 2001-2003 and were employed, unemployed in the labor force or student at baseline. Lifetime mental disorders at baseline and disorders with onset after baseline were assessed with the Composite International Diagnostic Interview, a fully structured interview that assessed lifetime prevalence of internalizing fear disorders (panic, phobias), anxiety/misery disorders (major depression, generalized anxiety disorder, post-traumatic stress disorder), externalizing disorders (conduct disorder, alcohol and illicit drug abuse-dependence), and bipolar disorder. Both baseline lifetime disorders and disorders with onsets after baseline were associated with significantly reduced odds of subsequent employment among respondents who were either employed or students at baseline. Population projections based on the assumption that these associations represented causal effects suggest that the mental disorders considered here were associated with 1.7-3.2 million adults being unemployed in the US population at follow-up. Expanded access to treatment among current employees and students with mental disorders might lead to improved employment outcomes in these segments of the population.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 201 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 14%
Student > Ph. D. Student 24 12%
Student > Master 23 11%
Student > Bachelor 18 9%
Student > Doctoral Student 17 8%
Other 44 22%
Unknown 47 23%
Readers by discipline Count As %
Psychology 47 23%
Medicine and Dentistry 34 17%
Social Sciences 21 10%
Neuroscience 6 3%
Nursing and Health Professions 5 2%
Other 28 14%
Unknown 60 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 May 2020.
All research outputs
#7,304,457
of 25,837,817 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#1,299
of 2,750 outputs
Outputs of similar age
#76,295
of 276,475 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#15
of 28 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 2,750 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 52% 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 276,475 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.