Road traffic crashes among farm vehicle drivers in southern China: A cross-sectional survey

Traffic Inj Prev. 2017 Jan 2;18(1):83-87. doi: 10.1080/15389588.2016.1190840. Epub 2016 Jun 3.

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.

Keywords: China; Traffic safety; accident analysis; accident prevention; agricultural vehicles; public roads; road crashes.

MeSH terms

  • Accidents, Occupational / statistics & numerical data*
  • Accidents, Traffic / statistics & numerical data*
  • Agriculture*
  • Automobile Driving / statistics & numerical data*
  • China / epidemiology
  • Cross-Sectional Studies
  • Driving Under the Influence / statistics & numerical data
  • Fatigue / epidemiology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Risk Factors
  • Seasons
  • Sleep Wake Disorders / epidemiology
  • Vision Disorders / epidemiology