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Road traffic crashes among farm vehicle drivers in southern China: A cross-sectional survey.
Traffic Inj Prev. 2017 01 02; 18(1):83-87.TI

Abstract

OBJECTIVE

The objective of this study was to identify the prevalence and potential risk factors of farm vehicle-related road traffic crashes among farm vehicle drivers in southern China.

METHODS

A cross-sectional study was used to interview 1,422 farm vehicle drivers in southern China. Farm vehicle-related road traffic crashes that occurred from December 2013 to November 2014 were investigated. Data on farm vehicle-related road traffic crashes and related factors were collected by face-to-face interviews.

RESULTS

The prevalence of farm vehicle-related road traffic crashes among the investigated drivers was 7.2%. Farm vehicle-related road traffic crashes were significantly associated with self-reported vision problem (adjusted odds ratio [AOR] = 6.48, 95% confidence interval [CI], 3.86-10.87), self-reported sleep disorders (AOR = 10.03, 95% CI, 6.28-15.99), self-reported stress (AOR = 20.47, 95% CI, 9.96-42.08), reported history of crashes (AOR = 5.40, 95% CI, 3.47-8.42), reported history of drunk driving (AOR = 5.07, 95% CI, 2.97-8.65), and reported history of fatigued driving (AOR = 5.72, 95% CI, 3.73-8.78). The number of road traffic crashes was highest in the daytime and during harvest season. In over 96% of farm vehicle-related road traffic crashes, drivers were believed to be responsible for the crash. Major crash-causing factors included improper driving, careless driving, violating of traffic signals or signs, and being in the wrong lane.

CONCLUSION

Findings of this study suggest that farm vehicle-related road traffic crashes have become a burgeoning public health problem in China. Programs need to be developed to prevent farm vehicle-related road traffic crashes in this emerging country.

Authors+Show Affiliations

a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health , Southeast University , Nanjing , Jiangsu Province , China. b Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health , Southeast University, Nanjing , Jiangsu Province , China.

c Yixing Center for Disease Control and Prevention , Yixing , Jiangsu Province , China.

a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health , Southeast University , Nanjing , Jiangsu Province , China.

d Office of Epidemiology , Chinese Center for Disease Control and Prevention , Beijing , China.

e Jiangsu Provincial Center for Disease Control and Prevention , Nanjing , Jiangsu Province , China.

a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health , Southeast University , Nanjing , Jiangsu Province , China.

a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health , Southeast University , Nanjing , Jiangsu Province , China.

a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health , Southeast University , Nanjing , Jiangsu Province , China.

a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health , Southeast University , Nanjing , Jiangsu Province , China.

a Injury Prevention Research Institute, Department of Epidemiology and Biostatistics, School of Public Health , Southeast University , Nanjing , Jiangsu Province , China.

f Colorado Injury Control Research Center, Department of Psychology , Colorado State University , Fort Collins , Colorado.

g Center for Injury Research and Policy and Center for Pediatric Trauma Research , The Research Institute at Nationwide Children's Hospital, The Ohio State University College of Medicine , Columbus , Ohio.

MeSH

Accidents, OccupationalAccidents, TrafficAgricultureAutomobile DrivingChinaCross-Sectional StudiesDriving Under the InfluenceFatigueFemaleHumansMaleMiddle AgedRisk FactorsSeasonsSleep Wake DisordersVision Disorders

Pub Type(s)

Journal Article

Language

eng

PubMed ID

27257936

Citation

Zhang, Xujun, et al. "Road Traffic Crashes Among Farm Vehicle Drivers in Southern China: a Cross-sectional Survey." Traffic Injury Prevention, vol. 18, no. 1, 2017, pp. 83-87.

Zhang X, Yang Y, Chen Y, et al. Road traffic crashes among farm vehicle drivers in southern China: A cross-sectional survey. Traffic Inj Prev. 2017;18(1):83-87.

Zhang, X., Yang, Y., Chen, Y., Yao, H., Wu, M., Cui, M., Li, Y., Hu, J., Zhang, C., Li, Z., Stallones, L., & Xiang, H. (2017). Road traffic crashes among farm vehicle drivers in southern China: A cross-sectional survey. Traffic Injury Prevention, 18(1), 83-87.

Zhang X, et al. Road Traffic Crashes Among Farm Vehicle Drivers in Southern China: a Cross-sectional Survey. Traffic Inj Prev. 2017 01 2;18(1):83-87. PubMed PMID: 27257936.

* Article titles in AMA citation format should be in sentence-case

TY - JOUR T1 - Road traffic crashes among farm vehicle drivers in southern China: A cross-sectional survey. AU - Zhang,Xujun, AU - Yang,Yaming, AU - Chen,Yu, AU - Yao,Hongyan, AU - Wu,Ming, AU - Cui,Mengjing, AU - Li,Yang, AU - Hu,Jie, AU - Zhang,Cong, AU - Li,Zhen, AU - Stallones,Lorann, AU - Xiang,Huiyun, Y1 - 2016/06/03/ PY - 2016/11/3/pubmed PY - 2017/7/14/medline PY - 2016/6/4/entrez KW - China KW - Traffic safety KW - accident analysis KW - accident prevention KW - agricultural vehicles KW - public roads KW - road crashes SP - 83 EP - 87 JF - Traffic injury prevention JO - Traffic Inj Prev VL - 18 IS - 1 N2 - OBJECTIVE: The objective of this study was to identify the prevalence and potential risk factors of farm vehicle-related road traffic crashes among farm vehicle drivers in southern China. METHODS: A cross-sectional study was used to interview 1,422 farm vehicle drivers in southern China. Farm vehicle-related road traffic crashes that occurred from December 2013 to November 2014 were investigated. Data on farm vehicle-related road traffic crashes and related factors were collected by face-to-face interviews. RESULTS: The prevalence of farm vehicle-related road traffic crashes among the investigated drivers was 7.2%. Farm vehicle-related road traffic crashes were significantly associated with self-reported vision problem (adjusted odds ratio [AOR] = 6.48, 95% confidence interval [CI], 3.86-10.87), self-reported sleep disorders (AOR = 10.03, 95% CI, 6.28-15.99), self-reported stress (AOR = 20.47, 95% CI, 9.96-42.08), reported history of crashes (AOR = 5.40, 95% CI, 3.47-8.42), reported history of drunk driving (AOR = 5.07, 95% CI, 2.97-8.65), and reported history of fatigued driving (AOR = 5.72, 95% CI, 3.73-8.78). The number of road traffic crashes was highest in the daytime and during harvest season. In over 96% of farm vehicle-related road traffic crashes, drivers were believed to be responsible for the crash. Major crash-causing factors included improper driving, careless driving, violating of traffic signals or signs, and being in the wrong lane. CONCLUSION: Findings of this study suggest that farm vehicle-related road traffic crashes have become a burgeoning public health problem in China. Programs need to be developed to prevent farm vehicle-related road traffic crashes in this emerging country. SN - 1538-957X UR - https://www.unboundmedicine.com/medline/citation/27257936/Road_traffic_crashes_among_farm_vehicle_drivers_in_southern_China:_A_cross_sectional_survey_ DB - PRIME DP - Unbound Medicine ER -