背景:关于身体健康与冰球损伤或疾病风险之间的关系知之甚少。最不适合的球员可能更容易受伤和生病。
目的:研究常规赛季优秀冰球运动员的季前健身水平与受伤或患病风险之间的关系。
方法:队列研究;证据水平,2.
方法:GET联赛(挪威顶级职业联赛)的133名男性冰球运动员完成了8种不同的练习(40米短跑,反运动跳跃,3000米运行,蹲下,台式压力机,仰卧起坐,残酷的长凳,和跳箱)在年度1天的季前赛测试组合中。在2017-2018赛季的竞争中,球员报告了所有健康问题(急性受伤,过度使用伤害,和疾病)每周(31周)使用奥斯陆运动创伤研究中心健康问题调查表。
结果:总体而言,运动员报告了191次急性受伤,82例过度使用伤,132种疾病最不健康的球员没有报告更多的健康问题(意味着,3.0;95%CI,2.2-3.8)与最拟合(平均值,3.4;95%CI,2.6-4.2)或中等拟合(平均值,2.7;95%CI,1.9-3.5)球员。最健康的球员报告了更严重的健康问题(意味着,2.0;95%CI,1.6-2.5)与中等拟合(平均值,1.3;95%CI,0.8-1.8)和最小拟合(平均值,1.8;95%CI,1.3-2.3)(P=.02)球员。当比较运动员的最小适合度与其他群体时,低身体素质与健康问题数量之间没有关联(P>.05);然而,在调整每场比赛的冰上时间后,将最不适合的球员与其他球员进行比较时,身体素质低下与所有健康问题的严重程度之间存在关联,游戏位置,和年龄(P=0.02)。
结论:身体素质低下与受伤或疾病的发生率增加无关,但在调整每场比赛的冰上时间后,与所有健康问题的严重程度有关。游戏位置,和年龄。
BACKGROUND: Little is known about the association between physical fitness and the risk of injury or illness in ice hockey. The least-fit players may be more prone to injury and illness.
OBJECTIVE: To examine the association between preseason fitness level and injury or illness risk among elite ice hockey players during the regular season.
METHODS: Cohort
study; Level of evidence, 2.
METHODS: A total of 133 male ice hockey players in the GET League (the premier professional league in Norway) completed 8 different exercises (40-m sprint, countermovement jump, 3000-m run, squat, bench press, chin-ups, brutal bench, and box jump) at the annual 1-day preseason testing combine. During the 2017-2018 competitive season, the players reported all health problems (acute injuries, overuse injuries, and illnesses) weekly (31 weeks) using the Oslo Sports Trauma Research Center Questionnaire on Health Problems.
RESULTS: Overall, the players reported 191 acute injuries, 82 overuse injuries, and 132 illnesses. The least-fit tercile of players did not report more health problems (mean, 3.0; 95% CI, 2.2-3.8) compared with the most-fit (mean, 3.4; 95% CI, 2.6-4.2) or the medium-fit (mean, 2.7; 95% CI, 1.9-3.5) players. The most-fit players reported more substantial health problems (mean, 2.0; 95% CI, 1.6-2.5) compared with the medium-fit (mean, 1.3; 95% CI, 0.8 -1.8) and least-fit (mean, 1.8; 95% CI, 1.3-2.3) (P = .02) players. There was no association between low physical fitness and number of health problems when comparing the least-fit tercile of the players with the rest of the cohort (P > .05); however, there was an association between low physical fitness and greater severity of all health problems when comparing the least-fit tercile of players to the rest of the cohort after adjusting for time on ice per game, playing position, and age (P = .02).
CONCLUSIONS: Low physical fitness was not associated with increased rate of injury or illness but was associated with greater severity of all health problems after adjusting for time on ice per game, playing position, and age.