Original Paper

Social Psychiatry and Psychiatric Epidemiology

, Volume 49, Issue 11, pp 1805-1821

First online:

Prevalence rates for depression by industry: a claims database analysis

  • Lawson WulsinAffiliated withDepartment of Psychiatry, Cincinnati Veterans Administration Medical Center, University of CincinnatiDepartment of Family Medicine, University of Cincinnati Email author 
  • , Toni AltermanAffiliated withHazard Evaluations and Field Studies, Division of Surveillance, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health
  • , P. Timothy BushnellAffiliated withHazard Evaluations and Field Studies, Division of Surveillance, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health
  • , Jia LiAffiliated withHazard Evaluations and Field Studies, Division of Surveillance, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health
  • , Rui ShenAffiliated withEmergint Technologies

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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

Depression Occupation Industry Group medical insurance claims Work stress Prevalence rates