Literature DB >> 24036316

Revisiting exposure: fatal and non-fatal traffic injury risk across different populations of travelers in Wisconsin, 2001-2009.

Carolyn McAndrews1, Kirsten Beyer, Clare E Guse, Peter Layde.   

Abstract

Comparing the injury risk of different travel modes requires using a travel-based measure of exposure. In this study we quantify injury risk by travel mode, age, race/ethnicity, sex, and injury severity using three different travel-based exposure measures (person-trips, person-minutes of travel, and person-miles of travel) to learn how these metrics affect the characterization of risk across populations. We used a linked database of hospital and police records to identify non-fatal injuries (2001-2009), the Fatality Analysis Reporting System for fatalities (2001-2009), and the 2001 Wisconsin Add-On to the National Household Travel Survey for exposure measures. In Wisconsin, bicyclists and pedestrians have a moderately higher injury risk compared to motor vehicle occupants (adjusting for demographic factors), but the risk is much higher when exposure is measured in distance. Although the analysis did not control for socio-economic status (a likely confounder) it showed that American Indian and Black travelers in Wisconsin face higher transportation injury risk than White travelers (adjusting for sex and travel mode), across all three measures of exposure. Working with multiple metrics to form comprehensive injury risk profiles such as this one can inform decision making about how to prioritize investments in transportation injury prevention.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accident; Exposure; Injury prevention; Traffic safety; Victim characteristics

Mesh:

Year:  2013        PMID: 24036316     DOI: 10.1016/j.aap.2013.08.005

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  6 in total

1.  The Relationship Between Objectively Measured Walking and Risk of Pedestrian-Motor Vehicle Collision.

Authors:  D Alex Quistberg; Eric J Howard; Philip M Hurvitz; Anne V Moudon; Beth E Ebel; Frederick P Rivara; Brian E Saelens
Journal:  Am J Epidemiol       Date:  2017-05-01       Impact factor: 4.897

2.  Facilitating research on racial and ethnic disparities and inequities in transportation: Application and evaluation of the Bayesian Improved Surname Geocoding (BISG) algorithm.

Authors:  Emma B Sartin; Kristina B Metzger; Melissa R Pfeiffer; Rachel K Myers; Allison E Curry
Journal:  Traffic Inj Prev       Date:  2021-08-17       Impact factor: 2.183

3.  Identifying risk factors for household burdens of road traffic fatalities: regression results from a cross-sectional survey in Taiwan.

Authors:  Lanying Huang
Journal:  BMC Public Health       Date:  2016-11-29       Impact factor: 3.295

4.  Differences between the sexes in motorcycle-related injuries and fatalities at a Taiwanese level I trauma center.

Authors:  Ching-Hua Hsieh; Shiun-Yuan Hsu; Hsiao-Yun Hsieh; Yi-Chun Chen
Journal:  Biomed J       Date:  2017-05-04       Impact factor: 4.910

5.  Cyclists injured in traffic crashes in Hong Kong: A call for action.

Authors:  Pengpeng Xu; Ni Dong; S C Wong; Helai Huang
Journal:  PLoS One       Date:  2019-08-09       Impact factor: 3.240

6.  Sex Differences in the Amount and Patterns of Car-Driving Exposure in Spain, 2014 to 2017: An Application of a Quasi-Induced Exposure Approach.

Authors:  José Mateos-Granados; Luis Miguel Martín-delosReyes; Mario Rivera-Izquierdo; Eladio Jiménez-Mejías; Virginia Martínez-Ruiz; Pablo Lardelli-Claret
Journal:  Int J Environ Res Public Health       Date:  2021-12-16       Impact factor: 3.390

  6 in total

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