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1.
Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 574-577, 2017.
Article in Chinese | WPRIM | ID: wpr-809081

ABSTRACT

Objective@#To examine the risk factors for road traffic injury in agricultural vehicle drivers.@*Methods@#A total of 103 drivers (who had suffered agricultural vehicle road traffic injury within the past year based on the road traffic injury registrar from the Traffic Management Bureau) who were involved in the annual agricultural vehicle inspection from December 2014 to January 2015 were randomly sampled from the Yixing Agricultural Vehicle Station as the case group for this study. Based on a 1∶2 assignment ratio and matched for sex, age, and education, a total of 206 drivers who had not suffered any agricultural vehicle road traffic injury within the past year were selected as the control group. The general information, vehicle information, driving information, driving behavior, and accident details of the agricultural vehicle drivers were analyzed.@*Results@#The incidence rate of road traffic injury was 7.24% given the 103 agricultural vehicle drivers who had suffered agricultural vehicle road traffic injury in the past year. Univariate logistic regression analysis showed that drinking, debt, pressure, history of car accident, history of drunk driving, smoking and phone use during driving, fatigue driving, and driving with illness were the risk factors for road traffic injury in agricultural vehicle drivers (OR=2.332, 2.429, 19.778, 5.589, 8.517, 2.125, 3.203, 10.249 and 5.639, respectively) . Multivariate logistic regression analysis also demonstrated that pressure, history of car accident, history of drunk driving, fatigue driving, and driving with illness were the risk factors for road traffic injury in agricultural vehicle drivers (OR=12.139, 11.184, 6.729, 5.939, and 6.544, respectively) .@*Conclusion@#Pressure, history of car accident, history of drunk driving, fatigue driving, and driving with illness are the major risk factors for road traffic injury in agricultural vehicle drivers.

2.
Iranian Journal of Public Health. 2013; 42 (1): 7-15
in English | IMEMR | ID: emr-141873

ABSTRACT

This study is to report characteristics of people killed in road traffic crashes and to describe major patterns of traffic crashes in China. Descriptive and inferential statistical analyses were conducted. Road traffic death national data, population denominator data and motor vehicles data of 2009 were obtained from the Bureau of Traffic Management at Ministry of Public Security and National Bureau of Statistics. The association between the fatalities from road traffic crashes and selected demographic factors, the time distribution, crash patterns, crash causes, and road user category were assessed in x[2] analyses. Road traffic crashes in China disproportionably affected the following populations: males, persons 21-65 yr of age and adults aged more than 65 yr, persons living in rural areas, pedestrians, passengers, motorcyclists and bicyclists. Approximately 50% of fatalities of road traffic crash occurred in Eastern regions. The number of road traffic deaths was higher in daytime than in nighttime. Road traffic deaths in frontal crashes, side-to-side crash and crashes with an object or a person were more common than in rear-end crashes. In about 92% of road traffic deaths, auto drivers were believed to be responsible for the fatal crash. Major crash causing factors were speeding, careless driving, driving without a license, driving in the wrong lane, and driving after drinking alcohol. Road traffic deaths accounted for about 70,000 premature deaths in China which should be taken into account


Subject(s)
Humans , Female , Male , Death
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