Literature DB >> 26511888

Previous anxiety and depression as risk factors for early labour force exit.

Kara E Rudolph1, William W Eaton2.   

Abstract

BACKGROUND: Individuals with a history of mental illness have lower earnings than individuals without. A possible reason is that those with prior anxiety or depression may be more likely to exit the labour force prior to retirement age, but evidence has been mixed and limited. Our objective was to compare risk of early labour force exit between employed adults with a history of depression or anxiety versus those without, separately for men and women.
METHODS: We used data from the Baltimore Epidemiological Catchment Area Follow-up Cohort, which collected baseline data in 1981 and follow-up data 1993-1996 and 2004-2005. Cox proportional hazards models estimated the relative risk of labour force exit comparing those with versus without prior history of anxiety or depressive disorders.
RESULTS: Women with prior anxiety or depression are at 37% increased risk of dropping out of the labour force as compared to women without, controlling for age, socioeconomic status, race and marital status (HR: 1.37, 95% CI 1.04 to 1.79). Men with prior anxiety or depression are 18% more likely to subsequently drop out of the labour force as compared to men without, controlling for the above confounders as well as veteran status, but this association is not statistically significant (HR: 1.18, 95% CI 0.72 to 1.27).
CONCLUSIONS: Prior anxiety or depression increases risk of early labour force exit for women. These findings may help explain previously reported lower earnings among female individuals with a history of mental illness and highlight the importance of considering anxiety and depressive disorders in policies supporting labour force participation. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Entities:  

Keywords:  EMPLOYMENT; EPIDEMIOLOGY; MENTAL HEALTH

Mesh:

Year:  2015        PMID: 26511888     DOI: 10.1136/jech-2015-206202

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  4 in total

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Authors:  Dana E King; Jun Xiang
Journal:  J Am Board Fam Med       Date:  2017 Mar-Apr       Impact factor: 2.657

2.  The Intersecting Consequences of Race-Gender Health Disparities on Workforce Engagement for Older Workers: An Examination of Physical and Mental Health.

Authors:  Kendra Jason; Christy L Erving
Journal:  Soc Curr       Date:  2021-12-05

3.  Sex and gender differences in depressive symptoms in older workers: the role of working conditions.

Authors:  Sascha de Breij; Martijn Huisman; Cécile R L Boot; Dorly J H Deeg
Journal:  BMC Public Health       Date:  2022-05-21       Impact factor: 4.135

4.  Early labor force exits in patients with treatment-resistant depression: an assessment of work years lost in a Danish nationwide register-based cohort study.

Authors:  Kathrine Bang Madsen; Liselotte Vogdrup Petersen; Oleguer Plana-Ripoll; Katherine L Musliner; Jean-Christophe Philippe Debost; Frederikke Hordam Gronemann; Preben Bo Mortensen; Trine Munk-Olsen
Journal:  Ther Adv Psychopharmacol       Date:  2020-11-17
  4 in total

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