Social Psychiatry and Psychiatric Epidemiology

, Volume 49, Issue 11, pp 1805–1821

Prevalence rates for depression by industry: a claims database analysis

Authors

    • Department of Psychiatry, Cincinnati Veterans Administration Medical CenterUniversity of Cincinnati
    • Department of Family MedicineUniversity of Cincinnati
  • Toni Alterman
    • Hazard Evaluations and Field Studies, Division of SurveillanceCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health
  • P. Timothy Bushnell
    • Hazard Evaluations and Field Studies, Division of SurveillanceCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health
  • Jia Li
    • Hazard Evaluations and Field Studies, Division of SurveillanceCenters for Disease Control and Prevention, National Institute for Occupational Safety and Health
  • Rui Shen
    • Emergint Technologies
Original Paper

DOI: 10.1007/s00127-014-0891-3

Cite this article as:
Wulsin, L., Alterman, T., Timothy Bushnell, P. et al. Soc Psychiatry Psychiatr Epidemiol (2014) 49: 1805. doi:10.1007/s00127-014-0891-3

Abstract

Purpose

To estimate and interpret differences in depression prevalence rates among industries, using a large, group medical claims database.

Methods

Depression cases were identified by ICD-9 diagnosis code in a population of 214,413 individuals employed during 2002–2005 by employers based in western Pennsylvania. Data were provided by Highmark, Inc. (Pittsburgh and Camp Hill, PA). Rates were adjusted for age, gender, and employee share of health care costs. National industry measures of psychological distress, work stress, and physical activity at work were also compiled from other data sources.

Results

Rates for clinical depression in 55 industries ranged from 6.9 to 16.2 %, (population rate = 10.45 %). Industries with the highest rates tended to be those which, on the national level, require frequent or difficult interactions with the public or clients, and have high levels of stress and low levels of physical activity.

Conclusions

Additional research is needed to help identify industries with relatively high rates of depression in other regions and on the national level, and to determine whether these differences are due in part to specific work stress exposures and physical inactivity at work.

Clinical significance

Claims database analyses may provide a cost-effective way to identify priorities for depression treatment and prevention in the workplace.

Keywords

DepressionOccupationIndustryGroup medical insurance claimsWork stressPrevalence rates

Copyright information

© Springer-Verlag (outside the USA) 2014