Traffic injury prevention
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Traffic injury prevention · Jan 2019
Marijuana use and driving in Washington State: Risk perceptions and behaviors before and after implementation of retail sales.
Washington is among the first states to legalize recreational use of marijuana. This study examined marijuana use and risk perceptions before and after retail sales of recreational marijuana began in July 2014, the relationship between risk perceptions and marijuana use, and the relationship between self-reported marijuana use and drug test results. ⋯ The prevalence of daytime THC-positive drivers increased substantially a few months after retail sales of marijuana were legal. Daytime and nighttime prevalence of THC-positive drivers was similar after retail sales. This pattern differs from that typically found for alcohol use, which is consistently higher among drivers at nighttime, compared to daytime. Reports of marijuana use were not always consistent with drug test results, which suggests that comparisons of self-reported marijuana use before and after legalization could be biased. This study examined marijuana use and risk perceptions over the course of 1 year. However, law changes may influence cultural norms gradually over a longer period of time. Future studies should continue to monitor marijuana use over time, as well as identify ways to determine whether drivers are impaired by marijuana.
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Traffic injury prevention · Jan 2019
ReviewPediatric electric bicycle injuries and comparison to other pediatric traffic injuries.
Objective: The objective of this study was to conduct a comprehensive analysis of demographics, injury characteristics and hospital resource utilization of significant pediatric electric bicycle (e-bike) injuries leading to hospitalization following an emergency department visit in comparison to pediatric injuries caused by other traffic related mechanisms. Methods: A retrospective review of all pediatric traffic injury hospitalizations following an emergency department visit to a level I trauma center between October 2014 and September 2016 was conducted. Data regarding age, sex, number of computed tomography (CT) scans obtained, number of major procedures, length of hospital stay (LOS), Injury Severity Score (ISS), and number of injuries per patient were collected and compared between e-bike injuries and other traffic injuries. ⋯ Injuries caused by e-bikes were similar to injuries caused to pedestrians, except for age (13.1 ± 3.4 vs. 8.5 ± 3.7, P < .01). Multivariable analysis revealed a significant association between mechanism of injury and ISS, with increased ISS among e-bike injuries compared to mecahnical bike injuries (OR 2.56, CI 1.1-5.88, P = 0.03) and automobile injuries (OR 4.16, CI 1.49-12.5, (P < .01). Conclusion: E-bikes are a significant cause of severe injury in children compared to most other traffic injuries, particularly in older children.
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Traffic injury prevention · Jan 2019
Relations between adolescent sensation seeking and traffic injury: Multiple-mediating effects of road safety attitudes, intentions and behaviors.
Objective: Road traffic injuries to youth are a serious global public health concern. One contributor to adolescent injury risk is the tendency to engage in sensation seeking behaviors. The current study examined how sensation seeking personality might directly influence adolescent traffic injury, as well as how it might indirectly influence traffic injury as mediated by road safety attitudes, intentions, and behaviors. ⋯ Conclusions: There were direct effects of Disinhibition sensation seeking, road safety attitudes, and road user behaviors on adolescent traffic injury. Sensation seeking also indirectly affected adolescent traffic injury through multiple mediating roles of road safety attitudes, intentions, and behaviors. Implications for traffic injury prevention and training are discussed.
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Traffic injury prevention · Jan 2019
Evaluation of the effectiveness of traffic calming measures on vehicle speeds and pedestrian injury severity in Ghana.
Objectives: Each year, pedestrian injuries constitute over 40% of all road casualty deaths and up to 60% of all urban road casualty deaths in Ghana. This is as a result of the overwhelming dependence on walking as a mode of transport in an environment where there are high vehicular speeds and inadequate pedestrian facilities. The objectives of this research were to establish the (1) impact of traffic calming measures on vehicle speeds and (2) association between traffic calming measures and pedestrian injury severity in built-up areas in Ghana. ⋯ However, the fact that they are deployed on arterial roads is increasingly becoming a road safety concern. Given the emerging safety challenges associated with speed calming measures, we recommend that their use be restricted to residential streets but not on arterial roads. Long-term solutions for improving pedestrian safety proposed herein include bypassing settlements along the highways to reduce pedestrians' exposure to traffic collisions and adopting a modern way of enforcement such as evidence-based laser monitoring in conjunction with a punishment regime that utilizes the demerit points system.
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Traffic injury prevention · Jan 2019
What can a hazard function teach us about drivers' perception of hazards?
Hazard perception (HP) is typically defined as the ability to read the road and anticipate hazardous situations. Several studies have shown that HP is a driving skill that correlates with traffic crashes. Measuring HP differences between various groups of drivers typically involves a paradigm in which participants observe short videos of real-world traffic scenes taken from a driver's or a pedestrian's perspective and press a response button each time they identify a hazard. Young, inexperienced drivers are considered to have poor HP skills compared to experienced drivers, as evident by their slower response times (RTs) to road hazards. Nevertheless, though several studies report RT differences between young, inexperienced and experienced drivers, other studies did not find such differences. We have already suggested that these contradictory findings may be attributed to how cases of no response-that is, a situation where a participant did not respond to a hazard-are being treated. Specifically, we showed that though survival analysis handles cases of no response appropriately, common practices fail to do so. These methods often replace a case of no response with the mean RT of those who responded or any other central tendency parameters. The present work aims to show that treating cases of no response appropriately as well as selecting a distribution that fits the RT data is more than just a technical phase in the analysis. ⋯ The suggested process has the ability to provide researchers with additional information regarding the nature of the traffic scenes that enables differentiating between various hazardous situations and between various users with different characteristics such as age or experience.