Literature DB >> 26924615

A comparison of self-reported seat belt usage among the Appalachian and non-Appalachian United States.

Hellina Birru1, Toni M Rudisill2, Anthony Fabio3, Motao Zhu4.   

Abstract

PURPOSE: Seat belts are known to effectively prevent death and serious injury among motorists involved in vehicular collisions. Limited research exists regarding seat belt usage in Appalachia. This study compares self-reported seat belt use in the Appalachian and non-Appalachian counties of the United States.
METHODS: Data from 2012 Behavioral Risk Factor Surveillance System were used to calculate nationally representative estimates of consistent seat belt usage in each region. These estimates were stratified by age, sex, and rurality. Total and potential lives saved by seat belts were calculated for each region using 2012 Fatality Analysis Reporting System data.
RESULTS: Of the 345,513 respondents (unweighted), Appalachians were 6% less likely than non-Appalachians to always wear a seat belt (relative risk = 0.94, 95% confidence interval, 0.93-0.95). Seat belt usage was consistently lower among Appalachians regardless of sex, age, or rurality. Only 68.1% of rural, Appalachian youth reported always wearing a seat belt. Seat belt usage was highest among non-Appalachian females residing in urban areas (92.5%). With 100% belt compliance, an additional 360 and 1712 potential lives could have been saved in Appalachia and non-Appalachia, respectively.
CONCLUSIONS: Regional differences possibly influence seat belt usage. Therefore, public health interventions to increase seat belt usage in Appalachia are likely warranted.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Appalachian region; Motor vehicles; Rural population; Seat belts; Traffic accidents

Mesh:

Year:  2016        PMID: 26924615      PMCID: PMC4799749          DOI: 10.1016/j.annepidem.2016.02.001

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  12 in total

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4.  Differences in safety belt use by race.

Authors:  Jonathon M Vivoda; David W Eby; Lidia P Kostyniuk
Journal:  Accid Anal Prev       Date:  2004-11

5.  The relationship between perceived risk of being ticketed and self-reported seat belt use.

Authors:  Neil K Chaudhary; Mark G Solomon; Linda A Cosgrove
Journal:  J Safety Res       Date:  2004

6.  Explaining state-to-state differences in seat belt use: A multivariate analysis of cultural variables.

Authors:  Lisa J Molnar; David W Eby; Kohinoor Dasgupta; Yang Yang; Vijayan N Nair; Stephen M Pollock
Journal:  Accid Anal Prev       Date:  2012-02-09

7.  Associations between sociodemographics and safety belt use in states with and without primary enforcement laws.

Authors:  Laurie F Beck; Ruth A Shults; Karin A Mack; George W Ryan
Journal:  Am J Public Health       Date:  2007-07-31       Impact factor: 9.308

8.  Predictors of intrinsic motivation behind seatbelt use in a country where current use is low.

Authors:  Caitlin M Milder; Shivam Gupta; Türker Ozkan; Connie Hoe; Timo Lajunen
Journal:  Injury       Date:  2013-12       Impact factor: 2.586

9.  Appalachian versus non-Appalachian U.S. traffic fatalities, 2008-2010.

Authors:  Motao Zhu; Songzhu Zhao; Kelly K Gurka; Sahiti Kandati; Jeffrey H Coben
Journal:  Ann Epidemiol       Date:  2013-04-23       Impact factor: 3.797

10.  Social and cultural factors influencing health in southern West Virginia: a qualitative study.

Authors:  Cathy A Coyne; Cristina Demian-Popescu; Dana Friend
Journal:  Prev Chronic Dis       Date:  2006-09-15       Impact factor: 2.830

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  4 in total

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2.  Fueled by an Epidemic: A Spatial Analysis of Opioid-Positive Drivers Fatally Injured in Motor Vehicle Collisions in West Virginia, 2011-2015.

Authors:  Toni M Rudisill
Journal:  Am J Public Health Res       Date:  2017-09-08

3.  Determinants of seat belt use behaviour: a protocol for a systematic review.

Authors:  Mohtasham Ghaffari; Bahram Armoon; Sakineh Rakhshanderou; Yadollah Mehrabi; Hamid Soori; Ozelem Simsekoghlu; Javad Harooni
Journal:  BMJ Open       Date:  2018-05-03       Impact factor: 2.692

4.  Differences between occupational and non-occupational-related motor vehicle collisions in West Virginia: A cross-sectional and spatial analysis.

Authors:  Toni Marie Rudisill; Sreyas Menon; Brian Hendricks; Motao Zhu; Gordon S Smith
Journal:  PLoS One       Date:  2019-12-31       Impact factor: 3.240

  4 in total

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