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. 2014 Oct;65(10):1201-9.
doi: 10.1176/appi.ps.201300335.

Employment status of people with mental illness: national survey data from 2009 and 2010

Alison Luciano, Ellen Meara

Employment status of people with mental illness: national survey data from 2009 and 2010

Alison Luciano et al. Psychiatr Serv. 2014 Oct.

Abstract

Objective: The aim of this study was to describe employment according to mental illness severity in the United States during 2009 and 2010.

Methods: The sample included all working-age participants (ages 18-64) from the 2009 and 2010 National Survey on Drug Use and Health (N=77,326). Two well-established scales of mental health distinguished participants with none, mild, moderate, and serious mental illness. Analyses compared employment rate and income by mental illness severity. Employment status was estimated with logistic regression models that controlled for demographic characteristics and substance use disorders. In secondary analyses the relationship between mental illness and employment was assessed for variation by age and education status.

Results: Employment rates decreased with increasing mental illness severity (no mental illness, 75.9% employment; mild, 68.8%; moderate, 62.7%; and serious, 54.5%, p<.001). Over a third of people with serious mental illness, 38.5%, had incomes <$10,000 (compared with 23.1% of people with no mental illness, p<.001). The gap in adjusted employment rates comparing persons with serious versus no mental illness was 1% among people 18-25 years old versus 21% among people 50-64 (p<.001).

Conclusions: More severe mental illness was associated with lower employment rates in 2009 and 2010. People with serious mental illness are less likely than people with no, mild, or moderate mental illness to be employed after age 49.

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Conflict of interest statement

Disclosure of Interest: None

Figures

Figure 1
Figure 1
Employment rates among adults 18-64 by mental health status Note:Figure 1 presents estimated rates of employment outcomes. Employment rates based on logistic regression models that adjust for confounding are presented in table 3, with full model results shown in Appendix 1.
Figure 2
Figure 2
Full- or part-time employment rates among adults 18-64 by age within mental health status groups Note:Figure 2 presents employment rates adjusted for age, gender, education, marital status, race/ethnicity, substance use disorders, self-reported general health, number of children in household, arrests in last year, and county type. The decrement to employment for older workers with serious mental illness is significantly larger compared with younger workers with serious mental illness, based on an interaction term between mental illness severity and age in a logistic regression model predicting full- or part-time employment.
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