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

• Published in: Accident analysis and prevention Vol. 60; pp. 103 - 112
• Main Authors: McAndrews, Carolyn, Beyer, Kirsten, Guse, Clare E., Layde, Peter
• Format: Journal Article
• Language: English
• Published: Kidlington Elsevier Ltd 01.11.2013; Elsevier
• Subjects: Accident; Accidents, Traffic - mortality; Accidents, Traffic - prevention & control; Accidents, Traffic - statistics & numerical data; Adolescent; Adult; Age Factors; Aged; Aged, 80 and over; Bicycling - injuries; Bicycling - statistics & numerical data; Biological and medical sciences; Child; Child, Preschool; Continental Population Groups; Databases, Factual; Ethnic Groups; Exposure; Fatalities; Female; Humans; Infant; Infant, Newborn; Injuries; Injury prevention; Injury Severity Score; Male; Medical sciences; Middle Aged; Miscellaneous; Models, Statistical; Motor Vehicles - statistics & numerical data; Motorcycles; Populations; Prevention and actions; Public health. Hygiene; Public health. Hygiene-occupational medicine; Risk; Risk Assessment; Risk Factors; Safety; Sex; Sex Factors; Time Factors; Traffic safety; Transportation; Traumas. Diseases due to physical agents; Travel - statistics & numerical data; Victim characteristics; Walking - injuries; Walking - statistics & numerical data; Wisconsin - epidemiology; Wounds and Injuries - epidemiology; Wounds and Injuries - etiology; Wounds and Injuries - mortality; Young Adult; United States; North America; Wisconsin; America; USA, Wisconsin; Exposure; Injury prevention; Victim characteristics; Accident; Traffic safety; Human; Travel disease; Injury; Characteristic; 2001; Risk; Fatal course; 2009; Prevention; Travel; Traffic injury; Characteristics; Risk factor; Population; Lesion; Public health
• ISSN: 0001-4575; 1879-2057
• DOI: 10.1016/j.aap.2013.08.005

•Travel-based exposure measures are necessary for comparing injury risk across travel modes.•The definition of exposure (e.g., trips, minutes, miles) affects whether walking and bicycling appear safe compared to motor vehicle travel.•For the case of Wisconsin the selection of exposure measures did not affect the characterization of injury risk by demographic group.•When controlling for age, sex, and race/ethnicity, walking and bicycling have moderately higher injury risk than motor vehicle travel.•Blacks and Native Americans in Wisconsin face higher injury risk compared to other racial and ethnic groups, controlling for travel mode and sex. 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.