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Abstract
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BACKGROUND: Community-level factors, including poverty level, minority population, and rurality are predictive of child injury rates. Community-based interventions targeting high-risk communities have been suggested for prevention and are reliant on understanding details of the community and prevalent types of injuries. The present study assessed injury rates based on characteristics of the community and for different types of injuries.
METHOD: A retrospective review of emergency department visits identified zip-code and injury type data for children 0-19. Injuries related to bicycles, falls, motor-vehicle traffic (MTV), and violence were examined. Poverty level, minority population, rural classification, and insured population were obtained at the zip-code level. Regression models examined the association between community features and injury rates for the four categories of injuries.
RESULTS: The results showed that the relationship between community features and injury rates was dependent on injury type. Rurality was associated with a lower rate for bicycle and falls, but a higher rate of MVT; higher insured population was associated with higher MVT and violence rates; higher minority population was associated with lower rates for falls and MTV; and higher population in poverty was associated with lower rate for MTV.
CONCLUSIONS: The findings indicate that injury rates not only cluster among community-level characteristics, but also the type of injury. Variation in community features and injury types offer insight into a holistic approach to child health. PRACTICAL APPLICATIONS: In addition to other factors related to risk for injuries, health providers' knowledge of features of the local community and prevalent injuries in the environment may be helpful additions to programming geared toward lessening the burden of injuries on children and healthcare systems.
Language: en |