Status and risk factors of unintentional injuries among Chinese undergraduates: a cross-sectional study

BMC Public Health. 2011 Jul 5:11:531. doi: 10.1186/1471-2458-11-531.

Abstract

Background: Injuries affect all age groups but have a particular impact on young people. To evaluate the incidence of non-fatal, unintentional, injuries among undergraduates in Wenzhou, China, assess the burden caused by these injuries, and explore the associated risk factors for unintentional injuries among these undergraduates, we conducted a college-based cross-sectional study.

Methods: Participants were selected by a multi-stage random sampling method, and 2,287 students were asked whether they had had an injury in the last 12 months; the location, cause, and consequences of the event. The questionnaire included demographic and socioeconomic characteristics, lifestyle habits, and the scale of type A behaviour pattern (TABP). Multivariate logistic regression models were used; crude odds ratios (ORs), adjusted ORs and their 95% confidence intervals (CIs) were estimated, with students having no injuries as the reference group.

Results: The incidence of injuries among undergraduates in Wenzhou was 18.71 injuries per 100 person-years (95%CI: 17.12~20.31 injuries per 100 person-years). Falls were the leading cause of injury, followed by traffic injuries, and animal/insect bites. Male students were more likely to be injured than female students. Risk factors associated with unintentional injuries among undergraduates were: students majoring in non-medicine (adjusted OR: 1.53; 95% CI: 1.19-1.96); type A behaviour pattern (adjusted OR: 2.99; 95% CI: 1.45-6.14); liking sports (adjusted OR: 1.86; 95% CI: 1.41-2.45).

Conclusions: Injuries have become a public health problem among undergraduates. Falls were the major cause of non-fatal injury. Therefore, individuals, families, schools and governments should promptly adopt preventive measures aimed at preventing and controlling morbidity due to non-fatal injury, especially among students identified to be at high-risk; such as male students with type A behaviour pattern who like sports.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Accidents*
  • China / epidemiology
  • Confidence Intervals
  • Cross-Sectional Studies
  • Female
  • Humans
  • Logistic Models
  • Male
  • Odds Ratio
  • Risk Factors
  • Students / psychology*
  • Surveys and Questionnaires
  • Universities
  • Wounds and Injuries / epidemiology
  • Wounds and Injuries / etiology*
  • Young Adult