短道速滑运动员在发展过程中受伤的发生率第一部分:冰上

T. L. Hillis
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摘要

短道速滑作为目前奥运会上最激动人心的项目之一,最近名声鹊起。进入这项运动的孩子们继续从事这项对身体要求很高的有组织的运动,尽管在训练和比赛期间,他们在冰上和冰上都缺乏身体准备,容易受伤。本研究确定了阿尔伯塔省速滑运动员在比赛中受伤的情况。该分析考虑了比赛的特征:日期(赛季中的时间)、比赛地点、比赛水平、冰场大小和协议(短跑/距离优先)。数据还包括摔倒的特征:比赛距离,受伤情况,受伤类型,摔倒在跑道上的位置,以及在100米跑道上与垫块碰撞的位置。使用主成分分析,确定了3个因素,占方差的57.87%。因子1与比赛日期相关(-0.762),占方差的21.79%;因子2与Rink Size(0.804)和Protocol of Racing(0.763)相关,占方差的21.55%;因子3与Zone of Impact(0.851)相关,占方差的14.58%。利用PC分析结果建立损伤类型预测模型(F = 3.77;P = 0.006)。Tukey HSD Post Hoc检验表明,安全撞击垫无损伤(p = 0.02)、不正确撞击垫无损伤(p <0.001)、严重骨折(p = 0.001)和脑震荡(p = 0.001)可以通过模型中识别的参数进行预测。
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The Incidence of Injuries in Development Short Track Speed Skaters Part 1: On Ice
Short track speed skating is a sport that has enjoyed recent notoriety as one of the more exciting events currently taking place at the Olympics. Children entering the sport continue to engage in this physically demanding, organized sports despite the lack of physical readiness both on and off the ice during training and competition, predisposing themselves to injury. This study identifies injuries associated with development speed skaters during competition in Alberta. The analysis considers Characteristics of Competition: Date (time during season), location of competition, Competition Level, Rink Size, and Protocol (sprints/distance first). Data also included characteristics of fall: Distance of Race, Situation of Injury, Type of Injury, Location of Fall on the Track, and Location of Impact with Pads of racing on a 100m track. Using a principal component analysis, 3 Factors were identified that make up 57.87% of the variance. Factor 1 was related to Date of Competition (-0.762) and made up 21.79% variance; Factor 2 was related to Rink Size (0.804) and Protocol of Racing (0.763) and made up 21.55% of the variance, Factor 3 was related to Zone of Impact (0.851) and made of 14.58% of the variance of the data. A model to predict Injury Type was created using the results of the PC analysis (F = 3.77; p = 0.006). The Tukey HSD Post Hoc test indicated that hitting mats safely no injury (p = 0.02), hitting mats improperly no injury (p <0.001), serious bone (p = 0.001) and concussions (p = 0.001) could be predicted by parameters identified in the model.
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