Search

Purpose: Proper evaluation of ski helmet designs and safety standards should rely on head impact conditions involved in skiing and snowboarding head injuries. To study these impacts, main crash scenarios involving head injuries are numerically replicated., Methods: Multibody models of skiers and snowboarders were developed to investigate five common crash scenarios involved in traumatic brain injury: forward and sideways skiing falls, snowboarding backward falls, collisions between users and collisions with obstacles. For each scenario, the influence of crash conditions on head impact (location, speed, linear and rotational accelerations) and risk of injury are evaluated. Crash conditions were initial velocity, user height, position and approach angle, slope steepness, obstacles, and snow stiffness., Results: One thousand one hundred forty-nine crashes were simulated and three significant levels of impact conditions were discriminated over the investigated crash scenarios: 1) the smallest normal-to-slope impact velocities (6 km·h; 22 km·h) and peak linear accelerations (42g; 75g) were obtained during forward and sideways skiing falls; 2) snowboarding backward falls and collisions between users were associated with high normal-to-surface impact velocities (26 km·h; 32 km·h) and head accelerations (80g; 149g) above one published threshold for mild traumatic brain injury but below the pass/fail criteria of helmet standard tests; 3) collisions with obstacles were associated with high normal-to-surface impact velocities (19 km·h; 35 km·h) and the highest head accelerations (626g; 1885g)., Conclusions: Current impact conditions of helmet standard evaluations consistently replicate collisions with obstacles, but need to be revised to better reflect other significant crash scenarios leading to traumatic brain injury.

Introduction: Sport helmet effectiveness in preventing traumatic brain injury (TBI) has been repeatedly questioned. This study assesses the effect of helmet use on risk of TBI and other types of head injury (OTHI) in alpine sports., Methods: From 2012 to 2014, data on the injured population were collected by physicians in on-mountain clinics in 30 French ski resorts, and interviews were conducted on the slope to sample a noninjured control population. Two sets of cases (1425 participants with TBI and 1386 with OTHI) were compared with 2 sets of controls (2145 participants without injury and 40,288 with an injury to a body part other than the head). The effect of helmet use on the risk of TBI and OTHI was evaluated with a multivariate logistic regression adjusted for age, sex, sport, skill level, crash type, and crash location., Results: Using participants without injury as control, we found that helmet wearers were less likely to sustain any head injury (odds ratio [OR] TBI = 0.65; OR OTHI = 0.42). When considering participants with an injury to another body part as control, the risk of OTHI was lower among helmet wearers (OR OTHI : 0.61). However, no significant effect was found for the risk of TBI. Participants with low skill levels, those aged <26 and >50 years, snowboarders, and those involved in collision and in snowpark accidents were at higher risk of head injury., Conclusions: This study confirms the effectiveness of helmets in protecting users from head injuries but questions their effects on TBI, especially concussion., (Copyright © 2017 Wilderness Medical Society. Published by Elsevier Inc. All rights reserved.)

Purpose: Mechanisms of injury and description of head impacts leading to traumatic brain injury (TBI) in skiers and snowboarders have not been extensively documented. We investigate snow sport crashes leading to TBI 1) to identify typical mechanisms leading to TBI to better target prevention measures and 2) to identify the injury mechanisms and the head impact conditions., Methods: The subjects were skiers and snowboarders diagnosed of TBI and admitted between 2013 and 2015 to one of the 15 medical offices and three hospital centers involved in the study. The survey includes the description of the patients (age, sex, practice, skill level, and helmet use), the crash (type, location, estimated speed, causes, and fall description), and the injuries sustained (symptoms, head trauma scores, and other injuries). Sketches were used to describe the crash and impact locations. Clustering methods were used to distinguish profiles of injured participants., Results: A total of 295 skiers and 71 snowboarders were interviewed. The most frequent type of mechanism was falls (54%), followed by collision between users (18%) and jumps (15%). Collision with obstacle (13%) caused the most serious TBI. Three categories of patients were identified. First, men age 16-25 yr are more involved in crash at high speed or in connection with a jump. Second, women, children (<16 yr), and beginners are particularly injured in collisions between users. Third, those older than 50 yr, usually nonhelmeted, are frequently involved in falls. Ten crash scenarios were identified. Falling head first is the most frequent of skiers' falls (28%)., Conclusion: Crash scenarios leading to TBI were identified and associated with profiles of injured participants. Those results should help to better target TBI prevention and protection campaigns.