2013
DOI: 10.1177/000313481307901026
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The Association between High-risk Behavior and Central Nervous System Injuries: Analysis of Traffic-related Fatalities in a Large Coroner's Series

Abstract: High-risk behaviors leading to traffic fatalities are often a result of severe traumatic brain and spine injuries. The objective of the study was to analyze patterns of behavior in drivers and motorcyclists that are associated with central nervous system (CNS)-related prehospital deaths that may serve as a basis for future prevention initiatives. Our study group comprised 514 fatalities with severe CNS injuries documented at autopsy. The majority (n = 491) was the result of motor vehicle collisions (MVCs). In … Show more

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Cited by 5 publications
(9 citation statements)
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“…In commercial vehicles, texting on a cell phone was associated with a much higher risk of a crash or other safety-critical event, such as near-collision or unintentional lane deviation (OR 23.2) (Olson et al 2009 ). Motor vehicle crash-related death and injury have also been strongly associated with texting (Pakula et al 2013 ; Issar et al 2013 ).…”
Section: Introductionmentioning
confidence: 99%
“…In commercial vehicles, texting on a cell phone was associated with a much higher risk of a crash or other safety-critical event, such as near-collision or unintentional lane deviation (OR 23.2) (Olson et al 2009 ). Motor vehicle crash-related death and injury have also been strongly associated with texting (Pakula et al 2013 ; Issar et al 2013 ).…”
Section: Introductionmentioning
confidence: 99%
“…Studies were published between 1998 and 2017, with sample sizes ranging from 74 to 1,080,637. Five studies were performed in the United States,[ 16 17 18 19 20 ] three in Australia,[ 21 22 23 ] one in Canada,[ 24 ] one in Qatar,[ 25 ] one in the United Arab Emirates,[ 26 ] one in Iran,[ 27 ] and one in England and Wales. [ 28 ] In addition to mobile device use, other types of behavior evaluated including smoking,[ 23 25 26 27 ] eating/drinking,[ 25 26 ] as well as various internal[ 16 18 22 23 24 25 27 28 ] and external[ 16 22 23 26 ] distractions.…”
Section: R Esultsmentioning
confidence: 99%
“…[ 28 ] In addition to mobile device use, other types of behavior evaluated including smoking,[ 23 25 26 27 ] eating/drinking,[ 25 26 ] as well as various internal[ 16 18 22 23 24 25 27 28 ] and external[ 16 22 23 26 ] distractions. Studies determined the involvement of driver distraction through examination of data collected from police reports,[ 16 17 18 19 20 22 23 28 ] interviews,[ 21 22 24 25 26 27 ] phone records,[ 19 21 ] medical records,[ 21 22 26 ] coroner reports,[ 19 22 ] and investigation of the scene and vehicle. [ 22 ]…”
Section: R Esultsmentioning
confidence: 99%
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