功能性运动筛查测试™与男子业余英式橄榄球比赛中损伤负担的关联性。
Association of the Functional Movement Screen™ with match-injury burden in men's community rugby union.
机构信息
a Department for Health , University of Bath , Bath , UK.
b Cardiff School of Sport and Health Sciences , Cardiff Metropolitan University , Cardiff , UK.
出版信息
J Sports Sci. 2019 Jun;37(12):1365-1374. doi: 10.1080/02640414.2018.1559525. Epub 2018 Dec 24.
Evidence supporting use of the Functional Movement Screen (FMS) to identify athletes' risk of injury is equivocal. Furthermore, few studies account for exposure to risk during analysis. This study investigated the association of FMS performance with incidence and burden of match-injuries in adult community rugby players. 277 players performed the FMS during pre-season and in-season time-loss injuries and match exposure were recorded. The associations between FMS score, pain, and movement-pattern asymmetries with match-injury incidence (≥8-days time-loss/1000hours), severe match-injury incidence (>28-days time-loss/1000hours), and match-injury burden (total time-loss days/1000hours for ≥8-days match-injuries) were analysed using Poisson regression. Multivariate analysis indicated players with pain and movement-pattern asymmetry during pre-season had 2.9 times higher severe match-injury incidence (RR, 90%CI = 2.9, 0.9-9.7) and match-injury burden (RR, 90%CI = 2.9, 1.3-6.6). Players with a typically low FMS score (mean - 1SD threshold) were estimated to have a 50% greater match-injury burden compared to players with a typically high FMS score (mean + 1SD threshold) as match-injury burden was 10% lower per 1-unit increase in FMS score. As the strongest association with injury outcome was found for players with pain and asymmetry, when implementing the FMS it is advisable to prioritise these players for further assessment and subsequent treatment.
支持使用功能性运动筛查(FMS)来识别运动员受伤风险的证据尚无定论。此外,在分析过程中很少考虑到风险暴露。本研究调查了 FMS 表现与成年社区橄榄球运动员比赛受伤的发生率和负担之间的关联。277 名运动员在赛季前和赛季中进行了 FMS 测试,并记录了受伤和比赛暴露情况。使用泊松回归分析了 FMS 得分、疼痛和运动模式不对称与比赛受伤发生率(≥8 天失时/1000 小时)、严重比赛受伤发生率(>28 天失时/1000 小时)和比赛受伤负担(≥8 天比赛受伤的总失时天数/1000 小时)之间的关联。多变量分析表明,赛季前有疼痛和运动模式不对称的运动员严重比赛受伤发生率(RR,90%CI=2.9,0.9-9.7)和比赛受伤负担(RR,90%CI=2.9,1.3-6.6)高 2.9 倍。与通常具有高 FMS 得分(平均值+1SD 阈值)的运动员相比,通常具有低 FMS 得分(平均值-1SD 阈值)的运动员估计比赛受伤负担增加 50%,因为 FMS 得分每增加 1 个单位,比赛受伤负担就会降低 10%。由于与受伤结果的最强关联是运动员的疼痛和不对称,因此在实施 FMS 时,建议优先考虑这些运动员进行进一步评估和随后的治疗。