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High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists

Objective: The purpose of this study was to characterize and compare risk behaviors between motorcyclists and motor vehicle drivers who were involved in accidents and required hospitalization. The study focused on patients who were recently involved in motorcycle collisions (MCCs) and motor vehicle...

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Autores principales: Rankin, Kelsey A., Zaki, Theodore, Ou, Derek, Kim, Chang-Yeon, Averbukh, Leon, Maisano, Julianna R., Leslie, Michael P., Wiznia, Daniel H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: EDP Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086423/
https://www.ncbi.nlm.nih.gov/pubmed/33929313
http://dx.doi.org/10.1051/sicotj/2021027
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author Rankin, Kelsey A.
Zaki, Theodore
Ou, Derek
Kim, Chang-Yeon
Averbukh, Leon
Maisano, Julianna R.
Leslie, Michael P.
Wiznia, Daniel H.
author_facet Rankin, Kelsey A.
Zaki, Theodore
Ou, Derek
Kim, Chang-Yeon
Averbukh, Leon
Maisano, Julianna R.
Leslie, Michael P.
Wiznia, Daniel H.
author_sort Rankin, Kelsey A.
collection PubMed
description Objective: The purpose of this study was to characterize and compare risk behaviors between motorcyclists and motor vehicle drivers who were involved in accidents and required hospitalization. The study focused on patients who were recently involved in motorcycle collisions (MCCs) and motor vehicle collisions (MVCs). Methods: We identified 63 patients involved in MCCs and 39 patients involved in MVCs who were admitted to our level-1 trauma center from April 2014 to September 2015. These 102 patients completed a questionnaire designed to evaluate risky driving behaviors. Pearson’s chi-squared tests and unpaired two-tailed t-tests were used to evaluate categorical and normally distributed continuous variables, respectively. Multivariable linear regression was used to analyze predictors of risk behavior. Significance was set at p < 0.05. Results: When compared to patients involved in an MCC, patients involved in MVCs were more likely to be female (p = 0.007), drive more frequently (p < 0.001), and never perceive the risk of an accident (p = 0.036). MVC patients were more likely to have admitted to substance use on the day of the accident (p = 0.030), historically drive under the influence of drugs (p = 0.031), drive while tired (p < 0.001), drive while text messaging (p < 0.001), and speed while overtaking vehicles (p = 0.011). Overall, MVC patients engaged in more risk behaviors (3.3 ± 1.3 vs. 2.0 ± 1.5; p < 0.001) and were more likely to engage in multiple risk behaviors (p < 0.001). MVCs were associated with increased risk behavior, even after controlling for protective behaviors, driving history, and demographics (p = 0.045). Conclusions: Within our cohort of trauma patients at our institution, motor vehicle drivers were more likely than motorcyclists to engage in any one risk behavior and engage in a higher number of risk behaviors. In addition, motor vehicle drivers perceived their risk of a potential accident as lower than riding a motorcycle. Education initiatives should focus on motor vehicle driver safety interventions that reduce risk behaviors.
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spelling pubmed-80864232021-05-05 High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists Rankin, Kelsey A. Zaki, Theodore Ou, Derek Kim, Chang-Yeon Averbukh, Leon Maisano, Julianna R. Leslie, Michael P. Wiznia, Daniel H. SICOT J Research Article Objective: The purpose of this study was to characterize and compare risk behaviors between motorcyclists and motor vehicle drivers who were involved in accidents and required hospitalization. The study focused on patients who were recently involved in motorcycle collisions (MCCs) and motor vehicle collisions (MVCs). Methods: We identified 63 patients involved in MCCs and 39 patients involved in MVCs who were admitted to our level-1 trauma center from April 2014 to September 2015. These 102 patients completed a questionnaire designed to evaluate risky driving behaviors. Pearson’s chi-squared tests and unpaired two-tailed t-tests were used to evaluate categorical and normally distributed continuous variables, respectively. Multivariable linear regression was used to analyze predictors of risk behavior. Significance was set at p < 0.05. Results: When compared to patients involved in an MCC, patients involved in MVCs were more likely to be female (p = 0.007), drive more frequently (p < 0.001), and never perceive the risk of an accident (p = 0.036). MVC patients were more likely to have admitted to substance use on the day of the accident (p = 0.030), historically drive under the influence of drugs (p = 0.031), drive while tired (p < 0.001), drive while text messaging (p < 0.001), and speed while overtaking vehicles (p = 0.011). Overall, MVC patients engaged in more risk behaviors (3.3 ± 1.3 vs. 2.0 ± 1.5; p < 0.001) and were more likely to engage in multiple risk behaviors (p < 0.001). MVCs were associated with increased risk behavior, even after controlling for protective behaviors, driving history, and demographics (p = 0.045). Conclusions: Within our cohort of trauma patients at our institution, motor vehicle drivers were more likely than motorcyclists to engage in any one risk behavior and engage in a higher number of risk behaviors. In addition, motor vehicle drivers perceived their risk of a potential accident as lower than riding a motorcycle. Education initiatives should focus on motor vehicle driver safety interventions that reduce risk behaviors. EDP Sciences 2021-04-30 /pmc/articles/PMC8086423/ /pubmed/33929313 http://dx.doi.org/10.1051/sicotj/2021027 Text en © The Authors, published by EDP Sciences, 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Rankin, Kelsey A.
Zaki, Theodore
Ou, Derek
Kim, Chang-Yeon
Averbukh, Leon
Maisano, Julianna R.
Leslie, Michael P.
Wiznia, Daniel H.
High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists
title High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists
title_full High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists
title_fullStr High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists
title_full_unstemmed High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists
title_short High-risk motor vehicle drivers engage in more risk behaviors than motorcyclists
title_sort high-risk motor vehicle drivers engage in more risk behaviors than motorcyclists
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8086423/
https://www.ncbi.nlm.nih.gov/pubmed/33929313
http://dx.doi.org/10.1051/sicotj/2021027
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