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Leveraging existing databases to study vehicle crashes in a combat occupational cohort: Epidemiologic methods
Author(s) -
Hooper Tomoko I.,
DeBakey Samar F.,
Lincoln Andrew,
Kang Han K.,
Cowan David N.,
Gackstetter Gary D.
Publication year - 2005
Publication title -
american journal of industrial medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.7
H-Index - 104
eISSN - 1097-0274
pISSN - 0271-3586
DOI - 10.1002/ajim.20190
Subject(s) - medicine , occupational safety and health , environmental health , cohort , cohort study , occupational exposure , epidemiology , database , medical emergency , pathology , computer science
Background The US military is a large, well‐defined occupational cohort offering tremendous opportunities to study risk factors for important health outcomes. This article describes our nested case‐control methods to evaluate risk factors for fatal motor vehicle crashes (MVC) within all Service branches in a 1991 Gulf War era cohort. Methods We identified 1,343 cases of fatal MVC between 1991 and 1995 that were also included in the Department of Transportation's Fatality Analysis Reporting System database and, using risk set sampling, selected 13,430 controls. Our final analytic dataset consisted of 980 male driver cases and 12,807 controls linked to multiple databases. Results Cases were disproportionately younger, less educated, not married, enlisted, and deployed to the Gulf War, compared to controls. Conclusions The ability to leverage multiple databases to study risk factors for fatal MVC is clearly advantageous and could eventually lead to the reduction of fatalities in similar occupational cohorts. Am. J. Ind. Med. 48:118–127, 2005. Published 2005 Wiley‐Liss, Inc.