Behavioral and psychosocial correlates of road traffic injuries: evidence from a nationwide study on Chinese undergraduates

Traffic Inj Prev. 2020;21(6):375-381. doi: 10.1080/15389588.2020.1770236. Epub 2020 Jun 4.

Abstract

Objective: The purpose of this study was to investigate the prevalence and behavioral and psychosocial correlates of road traffic injuries (RTIs) among Chinese university students.Methods: A cross-sectional survey was conducted among fifty universities in China, using a multi-stage sampling methodology. The participants were asked to report their RTIs in the past year. The chi-square test and binary logistic regression analysis were utilized to identify factors associated with RTIs, including specific types of RTIs.Results: Among the 11,770 participants, a total of 1,482 university students reported at least one RTI yielding an overall weighted injury prevalence of 12.96% over the past year. Estimated weighted prevalence by type was 6.10%, 5.94%, 5.12%, and 5.35% for automobile (car, truck, or bus), bicycle, motorcycle, and pedestrian injuries, respectively. Logistic regression analysis found that students who studied at low-level universities, smoked cigarettes, drank alcohol, slept less than 7 hours, went to bed after 12:00 am, or students with psychological distress were more likely to experience overall and four types of RTIs. Students who studied in the eastern universities had a higher likelihood of automobile injury, motorcycle injury and pedestrian injury than those who studied in western universities.Conclusions: Several critical factors associated with RTIs were identified. These findings have implications for the design and implementation of RTI prevention and interventions programs targeted at university students.

Keywords: Chinese university students; Road traffic injuries; behavioral factors; perceived stress; psychological distress.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents, Traffic / statistics & numerical data*
  • China / epidemiology
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Prevalence
  • Risk Factors
  • Students / psychology*
  • Students / statistics & numerical data
  • Universities
  • Wounds and Injuries / epidemiology*
  • Young Adult