Rural–Urban Differences in Risk Factors for Motor Vehicle Fatalities

Purpose: To examine rural–urban differences in motor vehicle fatality (MVF) risk factors. Methods: We used 2017 County Health Rankings data to run stratified regression models to estimate county-level correlates of motor vehicle fatalities (MVFs) by rural and urban location. Results: Rural counties...

Full description

Bibliographic Details
Main Authors: Carrie Henning-Smith, Katy B. Kozhimannil
Format: Article
Language:English
Published: Mary Ann Liebert 2018-09-01
Series:Health Equity
Subjects:
Online Access:https://www.liebertpub.com/doi/full/10.1089/HEQ.2018.0006
id doaj-0469f8e146e2477382696e01947fde91
record_format Article
spelling doaj-0469f8e146e2477382696e01947fde912020-11-24T23:57:18ZengMary Ann LiebertHealth Equity 2473-12422018-09-012126026310.1089/HEQ.2018.0006Rural–Urban Differences in Risk Factors for Motor Vehicle FatalitiesCarrie Henning-Smith0Katy B. Kozhimannil1Division of Health Policy and Management, Rural Health Research Center, University of Minnesota School of Public HealthDivision of Health Policy and Management, Rural Health Research Center, University of Minnesota School of Public HealthPurpose: To examine rural–urban differences in motor vehicle fatality (MVF) risk factors. Methods: We used 2017 County Health Rankings data to run stratified regression models to estimate county-level correlates of motor vehicle fatalities (MVFs) by rural and urban location. Results: Rural counties have higher rates of MVFs than urban counties (22 vs. 14 per 100,000, p<0.001). Physical inactivity and uninsurance were associated with higher rates of MVFs, as was having a more racially or ethnically concentrated population and larger percentages of younger or older adults. Conclusion: Interventions to reduce MVFs should take geographic location and population composition into account.https://www.liebertpub.com/doi/full/10.1089/HEQ.2018.0006motor vehicle fatalitiesruralurban
collection DOAJ
language English
format Article
sources DOAJ
author Carrie Henning-Smith
Katy B. Kozhimannil
spellingShingle Carrie Henning-Smith
Katy B. Kozhimannil
Rural–Urban Differences in Risk Factors for Motor Vehicle Fatalities
Health Equity
motor vehicle fatalities
rural
urban
author_facet Carrie Henning-Smith
Katy B. Kozhimannil
author_sort Carrie Henning-Smith
title Rural–Urban Differences in Risk Factors for Motor Vehicle Fatalities
title_short Rural–Urban Differences in Risk Factors for Motor Vehicle Fatalities
title_full Rural–Urban Differences in Risk Factors for Motor Vehicle Fatalities
title_fullStr Rural–Urban Differences in Risk Factors for Motor Vehicle Fatalities
title_full_unstemmed Rural–Urban Differences in Risk Factors for Motor Vehicle Fatalities
title_sort rural–urban differences in risk factors for motor vehicle fatalities
publisher Mary Ann Liebert
series Health Equity
issn 2473-1242
publishDate 2018-09-01
description Purpose: To examine rural–urban differences in motor vehicle fatality (MVF) risk factors. Methods: We used 2017 County Health Rankings data to run stratified regression models to estimate county-level correlates of motor vehicle fatalities (MVFs) by rural and urban location. Results: Rural counties have higher rates of MVFs than urban counties (22 vs. 14 per 100,000, p<0.001). Physical inactivity and uninsurance were associated with higher rates of MVFs, as was having a more racially or ethnically concentrated population and larger percentages of younger or older adults. Conclusion: Interventions to reduce MVFs should take geographic location and population composition into account.
topic motor vehicle fatalities
rural
urban
url https://www.liebertpub.com/doi/full/10.1089/HEQ.2018.0006
work_keys_str_mv AT carriehenningsmith ruralurbandifferencesinriskfactorsformotorvehiclefatalities
AT katybkozhimannil ruralurbandifferencesinriskfactorsformotorvehiclefatalities
_version_ 1725454680966823936