A review of risk factors and patterns of motorcycle injuries
ABSTRACT Per vehicle mile traveled, motorcycle riders have a 34-fold higher risk of death in a crash than people driving other types of motor vehicles. While lower-extremity injuries most commonly occur in all motorcycle crashes, head injuries are most frequent in fatal crashes. Helmets and helmet use laws have been shown to be effective in reducing head injuries and deaths from motorcycle crashes. Alcohol is the major contributing factor to fatal crashes. Enforcement of legal limits on the blood alcohol concentration is effective in reducing motorcycle deaths, while some alcohol-related interventions such as a minimal legal drinking age, increased alcohol excise taxes, and responsible beverage service specifically for motorcycle riders have not been examined. Other modifiable protective or risk factors comprise inexperience and driver training, conspicuity and daytime headlight laws, motorcycle licensure and ownership, riding speed, and risk-taking behaviors. Features of motorcycle use and potentially effective prevention programs for motorcycle crash injuries in developing countries are discussed. Finally, recommendations for future motorcycle-injury research are made.
SourceAvailable from: Shin-Han Tsai[Show abstract] [Hide abstract]
ABSTRACT: Introduction. The relationship between cervical spine injury (CSI) and helmet in head injury (HI) patients following motorcycle crashes is crucial. Controversy still exists; therefore we evaluated the effect of various types of helmets on CSI in HI patients following motorcycle crashes and researched the mechanism of this effect. Patients and Methods. A total of 5225 patients of motorcycle crashes between 2000 and 2009 were extracted from the Head Injury Registry in Taiwan. These patients were divided into case and control groups according to the presence of concomitant CSI. Helmet use and types were separately compared between the two groups and the odds ratio of CSI was obtained by using multiple logistic regression analysis. Results. We observed that 173 (3.3%) of the HI patients were associated with CSI. The HI patients using a helmet (odds ratio (OR) = 0.31, 95% confidence interval (CI) = 0.19−0.49), full-coverage helmet (0.19, 0.10−0.36), and partial-coverage helmet (0.35, 0.21−0.56) exhibited a significantly decreased rate of CSI compared with those without a helmet. Conclusion. Wearing full-coverage and partial-coverage helmets significantly reduced the risk of CSI among HI patients following motorcycle crashes. This effect may be due to the smooth surface and hard padding materials of helmet.01/2015; 2015:1-7. DOI:10.1155/2015/487985
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ABSTRACT: The object of the present paper is to examine the factors affecting driving under the influence of alcohol of car drivers and motorcycles. To achieve this goal, the responses of a representative sample of Greek drivers of cars and motorcycles are examined from the pan-European research SARTRE 4 and are analyzed by logistic regression models. The application of the models revealed that the factors affecting driving under the influence of alcohol statistically significantly are six for car drivers and seven for motorcyclists, four of which are common. The common factors are: age, their opinion on whether most of their friends would be driving under the influence of alcohol, their opinion on whether a person is capable of driving carefully in case of consumption alcohol and their education level. Additional factors for car drivers are their view on the legal limit of alcohol consumption and their gender, and for motorcyclists it is their view on how dangerous driving under the influence of drugs is. Keywords: Driving under the influence of alcohol, car drivers, motorcyclists, logistic regression analysis.Proceedings of the 6th Pan-hellenic Road Safety Conference, Hellenic Institute of Transportation Engineers, National Technical University of Athens, Athens, March 2015., Athens, Greece; 03/2015
Transportation Research Record Journal of the Transportation Research Board 12/2012; 2281(-1):92-98. DOI:10.3141/2281-12 · 0.44 Impact Factor