Off-Road Vehicle Crash Risk during the Six Months after a Birthday
نویسندگان
چکیده
BACKGROUND Off-road vehicles are popular and thrilling for youth outside urban settings, yet sometimes result in a serious crash that requires emergency medical care. The relation between birthdays and the subsequent risk of an off-road vehicle crash is unknown. METHODS We conducted a population-based before-and-after longitudinal analysis of youth who received emergency medical care in Ontario, Canada, due to an off-road vehicle crash between April 1, 2002, and March 31, 2014. We identified youth injured in an off-road vehicle crash through population-based health-care databases of individuals treated for medical emergencies. We included youth aged 19 years or younger, distinguishing juniors (age ≤ 15 years) from juveniles (age ≥ 16 years). RESULTS A total 32,777 youths accounted for 35,202 emergencies due to off-road vehicle crashes within six months of their nearest birthday. Comparing the six months following a birthday to the six months prior to a birthday, crashes increased by about 2.7 events per 1000 juniors (18.3 vs 21.0, p < 0.0001). The difference equaled a 15% increase in relative risk (95% confidence interval 12 to 18). The increase extended for months following a birthday, was not observed for traffic crashes due to on-road vehicles, and was partially explained by a lack of helmet wearing. As expected, off-road crash risks did not change significantly following a birthday among juveniles (19.2 vs 19.8, p = 0.61). CONCLUSIONS Off-road vehicle crashes leading to emergency medical care increase following a birthday in youth below age 16 years. An awareness of this association might inform public health messages, gift-giving practices, age-related parental permissions, and prevention by primary care physicians.
منابع مشابه
Single-Vehicle Run-Off-Road Crash Prediction Model Associated with Pavement Characteristics
This study aims to evaluate the impact of pavement physical characteristics on the frequency of single-vehicle run-off-road (ROR) crashes in two-lane separated rural highways. In order to achieve this goal and to introduce the most accurate crash prediction model (CPM), authors have tried to develop generalized linear models, including the Poisson regression (PR), negative binomial regression (...
متن کاملThe effect of new road traffic laws on fatal and non-fatal injury rates in Iran
Background and aims: This study aimed to evaluate the effect of enforcement of new traffic laws on the fatal and non- fatal injury rates in Iran. Methods: In a longitudinal, interventional controlled trial study, all subjects with history of fatal and non-fatal injuries were studied. Their injuries were caused by six risky violations (unauthorized speed, illegal overtaking, red traffic light c...
متن کاملKeep your eyes on the road: young driver crash risk increases according to duration of distraction.
PURPOSE Secondary task engagement that distracts the driver is a contributing factor to motor vehicle crashes among adults. However, the association between eye glance duration and crash risk with novice teenage drivers has not been determined. METHODS Vehicles of 42 newly licensed teenage drivers were instrumented with cameras, accelerometers, Global Positioning System(s) (GPS), and other de...
متن کاملTHESIS FOR THE DEGREE OF LICENTIATE OF ENGINEERING MACHINE AND VEHICLE SYSTEMS GRADUATE SCHOOL Modelling driver behaviour in run-off-road crashes: Applications in safety system development and safety benefit estimation
Run-off-road crashes have been identified as a major concern for automobile safety and several advanced driver assistance systems (ADASs) targeting run-off-road crashes are on the market today. Assessment of ADASs require relevant test scenarios and valid computational models of driver behaviour. Therefore, the objectives of this thesis has been: (A) define run-off-road test scenarios, and (B) ...
متن کاملApplying Data Mining to Assess Crash Risk on Curves
The wide range of contributing factors and circumstances surrounding crashes on road curves suggest that no single intervention can prevent these crashes. This paper presents a novel methodology, based on data mining techniques, to identify contributing factors and the relationship between them. It identifies contributing factors that influence the risk of a crash. Incident records, described u...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره 11 شماره
صفحات -
تاریخ انتشار 2016