Abstract
Risk-taking propensity is a pivotal facet of motor vehicle crash involvement and subsequent traumatic injury in adolescents. Clinical encounters are important opportunities to identify teens with high risk-taking propensity who may later experience serious injury. Our objective was to compare self-reports of health risk behavior with performance on the Balloon Analog Risk Task (BART), a validated metric of risk-taking propensity, in adolescents during a clinical encounter. 100 adolescent patients from a hospital emergency department and adolescent health clinic completed a computer-based survey of self-reported risk behaviors including substance use behaviors and behaviors that influence crash involvement. They then completed the BART, a validated laboratory-based risk task in which participants earn points by pumping up a computer-generated balloon with greater pumps leading to increased chance of balloon explosion. 20 trials were undertaken. Mean number of pumps on the BART showed a correlation of .243 (p=.015) with self-reported driver/passenger behaviors and attitudes towards driving that influence risk of crash injury. Regression analyses showed that self-reports of substance use and mean number of pumps on the BART uniquely predict self-reports of behaviors influencing the risk of crash injury. The BART is a promising correlate of real-world risk-taking behavior related to traffic safety. It remains a valid predictor of behaviors influencing risk of crash injury when using just 10 trials, suggesting its utility as a quick and effective screening measure for use in busy clinical environments. This tool may be an important link to prevention interventions for those most at-risk for future motor vehicle crash involvement and injury.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 77-87 |
| Number of pages | 11 |
| Journal | Annals of Advances in Automotive Medicine |
| Volume | 57 |
| State | Published - 2013 |
| Event | 57th Annual Scientific Conference of the Association for the Advancement of Automotive Medicine - Quebec City, QC, Canada Duration: Sep 23 2013 → Sep 25 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Biomedical Engineering
- Safety, Risk, Reliability and Quality
- General Medicine
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