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Southeast Asian J Trop Med Public Health ; 1994 Mar; 25(1): 37-44
Article in English | IMSEAR | ID: sea-32752

ABSTRACT

This report presents descriptive epidemiology of vehicle-related crashes that caused severe injuries in a defined geographical area in northern Thailand, conducted to determine the nature of injuries and factors that contributed to the crashes. In each incident, the driver and other victims were identified and interviewed by a trained public health worker using a standard investigation form. During 1991, 286 single-vehicle crashes (66.4%), 117 crashes with other vehicles (27.1%), and 28 crashes involving pedestrians (6.5%) occurred in the area. These crashes injured 581 persons (551 vehicle occupants and 30 pedestrians), of whom 36 (6.2%) died. The vehicles involved in the crashes included 11 bicycles (2.3%), 371 motorcycles (78.6%), and 90 other motor vehicles (ie, pick-up trucks, lorries, and cars) (19.1%). Motorcycle-related crashes accounted for the majority of injuries and deaths. Driver risk factors for traffic injuries, such as alcohol consumption, lack of a valid driving licence, limited driving experience, and being a teenage driver, occurred more commonly among drivers of motorcycles than of other motor vehicles. Poor vehicle conditions and road environments reported in some incidents may have posed additional risks. Pedestrian factors, including young and old age, and alcohol use, may also have contributed to the occurrence of pedestrian injuries. Our system of data collection using an investigation form can provide relevant information, leading to the development of appropriate accident prevention programs for the community.


Subject(s)
Accident Prevention , Accidents, Traffic/prevention & control , Adolescent , Adult , Age Factors , Alcohol Drinking/adverse effects , Automobile Driver Examination , Automobile Driving/psychology , Automobiles/statistics & numerical data , Bicycling/injuries , Child , Environment , Female , Humans , Male , Middle Aged , Motorcycles/statistics & numerical data , Population Surveillance , Risk Factors , Rural Population , Thailand/epidemiology , Walking/injuries
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