Leveraging existing databases to study vehicle crashes in a combat occupational cohort: epidemiologic methods.
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.
Hooper
Tomoko I
TI
Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, Bethesda, Maryland 20814-4799, USA. thooper@usuhs.mil
DeBakey
Samar F
SF
Lincoln
Andrew
A
Kang
Han K
HK
Cowan
David N
DN
Gackstetter
Gary D
GD
D000062:Accidents, Occupational / Q000401:mortality* / Q000706:statistics & numerical data; D000063:Accidents, Traffic / Q000401:mortality* / Q000706:statistics & numerical data; D000328:Adult; D017677:Age Distribution; D016022:Case-Control Studies; D002423:Cause of Death; D015331:Cohort Studies; D016208:Databases, Factual; D005260:Female; D047830:Gulf War; D006801:Humans; D016015:Logistic Models; D008297:Male; D008498:Medical Record Linkage; D008875:Middle Aged; D008889:Military Personnel / Q000706:statistics & numerical data*; D018986:Motor Vehicles; D012042:Registries; D012307:Risk Factors; D014481:United States / Q000453:epidemiology; D014728:Veterans / Q000706:statistics & numerical data*