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Understanding risk factor patterns in ATV fatalities: A recursive partitioning approach
Elise Lagerstrom1, Sheryl Magzamen2, Lorann Stallones3
1Department of Environmental and Occupational Health Sciences, Colorado State University, Fort Collins, CO, United States.
Journal of Safety Research
|November 17, 2016
Summary
Hundreds of ATV deaths occur annually. This study identified key contributing factors using the agent-host-environment model, revealing that not wearing helmets and alcohol/drug use were prevalent in fatalities.
Area of Science:
- Epidemiology
- Public Health
- Accident Prevention
Background:
- All-terrain vehicle (ATV) fatalities represent a significant public health concern in the United States.
- Contributing factors to ATV-related deaths remain inadequately understood, hindering targeted prevention efforts.
Purpose of the Study:
- To investigate associations between factors contributing to ATV fatalities.
- To apply the agent-host-environment epidemiological triangle model to understand ATV death risk factors.
Main Methods:
- Utilized incident reports of ATV fatalities from the U.S. Consumer Product Safety Commission (CPSC) between 2011-2013.
- Employed Chi-square Automatic Interaction Detector (CHAID) analysis to model relationships between risk factors and fatalities.
- Examined helmet use (host), crash type (agent), and location (environment) within the epidemiological framework.
Main Results:
- A total of 1193 ATV fatalities were analyzed.
- Helmet non-use was recorded in 88% of fatalities where status was known.
- Alcohol or drug use was present in 84% of fatalities where status was known.
- Key recurring factors included age, helmet use, geographic region, and location of the crash.
Conclusions:
- The study provides a model for understanding the complex interplay of risk factors in ATV fatalities.
- The CHAID analysis combined with the epidemiological triangle effectively visualizes host, agent, and environment interactions.
- Findings can inform targeted interventions to reduce ATV-related deaths.
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