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...
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Mary Ann Liebert
2018-09-01
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Online Access: | https://www.liebertpub.com/doi/full/10.1089/HEQ.2018.0006 |
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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 |
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