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Accepted (AM)Open Access (License Unspecified), Open
Journal article
The role of Body Mass Index in child pedestrian injury risk
Accident analysis and prevention, v 90, pp 29-35
May 2016
PMID: 26890078
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The goal of the current investigation was to examine obesity as a potential risk factor for childhood pedestrian injury. A racially diverse sample of 7- and 8-year-old children completed a road-crossing task in a semi-immersive virtual environment and two pedestrian route selection tasks. Multiple linear regression analyses revealed that children with a higher Body Mass Index (BMI) waited less before crossing, had a smaller temporal buffer between themselves and oncoming traffic while crossing, and had more collisions with traffic. Girls were more cautious than boys when crossing the virtual roadway. Unlike the results from the virtual road-crossing task, BMI was not associated with risky route selection. Instead, race emerged as the strongest predictor, with African-American children selecting riskier routes for crossing. Together, these findings suggest overweight and obese children may be at increased risk for pedestrian injury. The discussion considers explanations for why obese children may exhibit riskier road-crossing behavior.
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Details
- Title
- The role of Body Mass Index in child pedestrian injury risk
- Creators
- Elizabeth E O'Neal - University of IowaJodie M Plumert - University of IowaLeslie A McClure - University of Alabama at BirminghamDavid C Schwebel - University of Alabama at Birmingham
- Publication Details
- Accident analysis and prevention, v 90, pp 29-35
- Publisher
- Elsevier
- Grant note
- R01 HD058573 / NICHD NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000373536900003
- Scopus ID
- 2-s2.0-84958206399
- Other Identifier
- 991019168272404721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Ergonomics
- Public, Environmental & Occupational Health
- Social Sciences, Interdisciplinary
- Transportation