Nonfatal child pedestrian injury in two urban cities of Guangdong Province, China: results from a cross-sectional survey

Biomed Environ Sci. 2011 Aug;24(4):335-42. doi: 10.3967/0895-3988.2011.04.003.

Abstract

Objective: To describe the epidemiological characteristics of nonfatal child pedestrian injuries and provide information to help understand an important public-health problem.

Methods: This was a school-based, cross-sectional questionnaire survey. The sample (42 750 children) was obtained from two urban cities of Guangdong Province, China, using multi-stage randomized sampling. Information was collected by the respondents self-reporting in the classroom.

Results: The incidence rate of nonfatal child pedestrian injuries in the cities was 2.0%. Boys had a higher incidence rate (2.6%) than girls (1.4%). Compared to other children, those aged 10 years are at the highest risk. The primary places of occurrence were sidewalks, residential roads, and crosswalks. High-risk behavior of the children immediately prior to injury included mid-block crossings, playing on roads, and crossing on red lights. The major vehicles that caused pedestrian injuries were bicycles, car or vans, and motorcycles. Bruises, fractures, and injuries to the internal organs were the top three types of injuries. Almost 40% of victims were hospitalized, and nearly 30% of the victims suffered long-term disabilities.

Conclusion: This study shows that nonfatal child pedestrian injuries are a very serious public-health problem in the urban cities of Guangdong. Based on the epidemiological characteristics, prevention strategies and further research should be carried out to reduce the occurrence of injuries.

MeSH terms

  • Accident Prevention / methods
  • Accidents, Traffic / prevention & control*
  • Accidents, Traffic / statistics & numerical data*
  • Animals
  • Child
  • China / epidemiology
  • Cross-Sectional Studies
  • Data Collection
  • Female
  • Humans
  • Incidence
  • Male
  • Motor Vehicles
  • Surveys and Questionnaires
  • Urban Population / statistics & numerical data*
  • Wounds and Injuries / epidemiology