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Relationships among Risk Factors for Concussion in Minor Ice Hockey

机译:小型冰球脑震荡危险因素的关系

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There is increasing concern among parents, coaches, and officials about injury risk in youth ice hockey, particularly in light of recent evidence suggesting that incidence of serious injury is considerably under reported. However, an adequate method for ascertaining injury risk for concussion does not yet exist. The purpose of this study was to examine the relationships among variables measuring exposure and head impact forces in a group of representative level bantam aged hockey players. Across an entire hockey season, trained research assistants attended games and recorded the duration of time spent on the ice for each player (i.e., exposure time) and total number of body contacts using time-on-task software designed specifically for this study. A body contact included any intentional or incidental contact between two players. Collectively, these variables provide a simple, easily administered measure of head injury risk for researchers collecting data in this area. However, their relationship to actual brain trauma is unknown. To this end, head acceleration data were also collected using helmet-based accelerometers that provide measures of linear accelerations experienced by each player. These data were collected by telemetry methods and represent data that are likely very useful for injury researchers but not without sufficient costs. Results demonstrated low associations among the data sources. A method based on combining data sources (through an examination of their potential relationships) is proposed to maximize the potential to identify at-risk youth in minor hockey.
机译:父母,教练和官员在青年冰球的伤害风险上越来越令人担忧,特别是近期证据表明严重伤害的发生率大幅报告。然而,尚不存在用于确定脑震荡伤害风险的适当方法。本研究的目的是检查一组代表水平老年曲棍球运动员中的变量测量曝光和头部冲击力之间的关系。在整个曲棍球季节,训练有素的研究助理参加了游戏,并记录了每位玩家(即暴露时间)和使用专门为本研究专门设计的任务时间软件的身体触点总数的时间。身体联系包括两个玩家之间的任何有意或偶然的接触。统称,这些变量提供了一个简单,易于管理的对研究人员收集该领域的数据的头部伤害风险。然而,他们与实际脑创伤的关系是未知的。为此,还使用基于头盔的加速度计收集头部加速度数据,该加速度计提供每个玩家经历的线性加速度的测量。这些数据由遥测方法收集,代表对伤害研究人员来说非常有用的数据,但没有没有足够的成本。结果显示数据源之间的低关联。提出了一种基于组合数据源的方法(通过检查它们的潜在关系),以最大限度地提高识别次曲棍球中的风险青年的可能性。

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