Literature DB >> 23036405

Crash risk factors related to individuals sustaining and drivers following traumatic brain injuries.

David M Neyens1, Linda Ng Boyle.   

Abstract

OBJECTIVE: Some crashes result in drivers experiencing (or sustaining) a traumatic brain injury (TBI) while other crashes involve drivers that have already experienced a TBI. The objective of this study is to examine the factors that influence these two TBI crash groups.
METHODS: Data from the Iowa Department of Public Health's Brain Injury Registry and Department of Transportation's crash records were linked together and used in logistic regression models to predict the likelihood of a driver sustaining a TBI in a crash and those who drive after a TBI.
RESULTS: Between 2001 and 2006, there were 2382 crashes in which an individual sustained a TBI. As expected, a higher likelihood of sustaining a TBI was observed for motorcycle drivers who did not wear a helmet and in crashes that resulted in total or disabling vehicle damage. Focusing specifically on the post-TBI drivers (and not occupants), 1583 were involved in crashes. These post-TBI drivers were less likely to wear seatbelts or have passengers in the vehicle at the time of the crash, and were more likely to crash at night. Post-TBI drivers were also involved in significantly more multiple crashes (about 14%) when compared to drivers who have not experienced a TBI (about 10%) during the study period. When controlling for gender, date of injury, and severity of TBI (using Glasgow Coma Scale), individuals that sustained a TBI when they were younger were more likely to be involved in multiple crashes.
CONCLUSIONS: Different factors influence the crash likelihood for those that sustain a TBI in a crash and those that crash following a TBI. In general, post-TBI drivers have a higher occurrence of multiple crashes and this should be further explored to guide driver rehabilitation, evaluation, and training.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23036405     DOI: 10.1016/j.aap.2012.01.008

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  2 in total

1.  Long-Term Survival Following Traumatic Brain Injury: A Population-Based Parametric Survival Analysis.

Authors:  Gordon W Fuller; Jeanine Ransom; Jay Mandrekar; Allen W Brown
Journal:  Neuroepidemiology       Date:  2016-05-11       Impact factor: 3.282

2.  A Predictive Model to Analyze the Factors Affecting the Presence of Traumatic Brain Injury in the Elderly Occupants of Motor Vehicle Crashes Based on Korean In-Depth Accident Study (KIDAS) Database.

Authors:  Hee Young Lee; Hyun Youk; Oh Hyun Kim; Chan Young Kang; Joon Seok Kong; Yeon Il Choo; Doo Ruh Choi; Hae Ju Lee; Dong Ku Kang; Kang Hyun Lee
Journal:  Int J Environ Res Public Health       Date:  2021-04-09       Impact factor: 3.390

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.