Aiello Francesco, Di Claudio Christian, Fanchini Maurizio, Impellizzeri Franco M, McCall Alan, Sharp Carwyn, Brown Susan J
Arsenal Performance and Research Team, Arsenal Football Club, UK; School of Applied Sciences, Edinburgh Napier University, UK. Electronic address: https://twitter.com/Fr_Aiello.
AS Roma Football Club, Roma, Italy. Electronic address: https://twitter.com/chridiclaudio.
J Sci Med Sport. 2023 Sep;26(9):465-470. doi: 10.1016/j.jsams.2023.07.007. Epub 2023 Jul 22.
Understanding how injuries occur (inciting circumstances) is useful for developing etiological hypotheses and prevention strategies. The aims of this study were 1) to evaluate the feasibility of a method combining video and Global Positioning System data to estimate the speed and acceleration of activities leading to injuries and 2) to use this method to analyse the inciting circumstances leading to non-contact injuries.
Retrospective descriptive study.
Injury inciting circumstances from 46 elite players over three seasons were analysed from video recordings and from external load measures collected through Catapult Vector S7 Global Positioning System.
In total 34 non-contact injuries were analysed. Sixteen out of the seventeen hamstring injuries occurred when players were running for (median and interquartile range) 16.75 m (8.42-26.65 m) and achieved a peak speed of 29.28 km·h (26.61-31.13 km·h) which corresponded to 87.55 % of players' maximal speed (78.5 %-89.75 %). Of the three adductor injuries, one occurred whilst the player was decelerating without the ball, one occurred whilst the player was accelerating and controlling the ball at knee level, and one occurred whilst the player was performing an instep kick. Two quadriceps injuries occurred whilst the players were kicking either whilst walking or running.
From the preliminary results reported in this study most hamstring injuries occurred when players ran >25 km·h and above 80 % of their maximal speed. This study suggests that this novel approach can allow a detailed and standardised analysis of injury inciting circumstances.
了解损伤如何发生（诱发情况）有助于形成病因假设和预防策略。本研究的目的是：1）评估一种结合视频和全球定位系统数据来估计导致损伤的活动的速度和加速度的方法的可行性；2）使用该方法分析导致非接触性损伤的诱发情况。
回顾性描述性研究。
通过视频记录以及通过弹射向量S7全球定位系统收集的外部负荷测量数据，分析了三个赛季中46名精英运动员的损伤诱发情况。
共分析了34例非接触性损伤。17例腘绳肌损伤中有16例发生在运动员奔跑（中位数和四分位间距）16.75米（8.42 - 26.65米）时，峰值速度达到29.28千米/小时（26.61 - 31.13千米/小时），这相当于运动员最大速度的87.55%（78.5% - 89.75%）。在3例内收肌损伤中，1例发生在运动员无球减速时，1例发生在运动员在膝盖高度加速并控球时，1例发生在运动员进行脚背踢球时。2例股四头肌损伤发生在运动员行走或奔跑时踢球的过程中。
根据本研究报告的初步结果，大多数腘绳肌损伤发生在运动员奔跑速度超过25千米/小时且高于其最大速度的80%时。本研究表明，这种新方法能够对损伤诱发情况进行详细且标准化的分析。
