Effect of valvular heart diseases, migraine headaches, and perianal diseases on the risk of involvement in motor vehicle crashes.
Impaired health can interfere with driving performance. We have launched this investigation to identify in professional military drivers health parameters that might be associated with involvement in motor vehicle crashes (MVCs). All Israel Defense Forces professional male drivers (N = 5,605) conscripted into compulsory military service between April 1, 1988 and April 1, 1990 were divided into two groups according to whether (N = 1,300) or not (N = 4,305) the driver was involved in MVCs during the same time frame. Using the multivariate Cox model, a significant association was shown between involvement in MVCs and the following health parameters: mild-to-moderate valvular heart disease (p = 0.0002, chi 2 = 13.89), migraine headaches (p = 0.009, chi 2 = 6.91), and perianal diseases (p = 0.006, chi 2 = 7.44). We hypothesize that interference with the driver's performance level may be a result of the discomfort associated with those clinical conditions. It is possible that interference with the personal performance level decreased the ability of the driver to cope with the specific driving task demands and resulted in the involvement of the driver in MVCs. We suggest that because of the high social and economic costs associated with road accidents, it is important to investigate further the association of involvement in MVCs and health problems. If our findings are confirmed in the future studies, intervention programs to reduce MVC rates would be suggested and conducted among professional drivers.
D000063:Accidents, Traffic; D000293:Adolescent; D000328:Adult; D001004:Anus Diseases / Q000150:complications; D001334:Automobile Driving; D006349:Heart Valve Diseases / Q000150:complications; D006801:Humans; D007557:Israel; D008297:Male; D008881:Migraine Disorders / Q000150:complications; D008889:Military Personnel; D015999:Multivariate Analysis; D011336:Probability; D016016:Proportional Hazards Models; D012307:Risk Factors