School of Exercise Science, Australian Catholic University, Melbourne, Victoria, Australia.
School of Health, Sport and Professional Practice, University of South Wales, Wales, UK.
Br J Sports Med. 2018 Jul;52(14):919-928. doi: 10.1136/bjsports-2016-096777. Epub 2016 Nov 24.
To investigate the association between running exposure and the risk of hamstring strain injury (HSI) in elite Australian footballers.
Elite Australian footballers (n=220) from 5 different teams participated. Global positioning system (GPS) data were provided for every athlete for each training session and match for the entire 2015 season. The occurrences of HSIs throughout the study period were reported. Receiver operator characteristic curve analyses were performed and the relative risk (RR) of subsequent HSI was calculated for absolute and relative running exposure variables related to distance covered above 10 and 24 km/hour in the preceding week/s.
30 prospective HSIs occurred. For the absolute running exposure variables, weekly distance covered above 24 km/hour (>653 m, RR=3.4, 95% CI 1.6 to 7.2, sensitivity=0.52, specificity=0.76, area under the curve (AUC)=0.63) had the largest influence on the risk of HSI in the following week. For the relative running exposure variables, distance covered above 24 km/hour as a percentage of distance covered above 10 km/hour (>2.5%, RR=6.3, 95% CI 1.5 to 26.7, sensitivity=0.93, specificity=0.34, AUC=0.63) had the largest influence on the risk of HSI in the following week. Despite significant increases in the RR of HSI, the predictive capacity of these variables was limited.
An association exists between absolute and relative running exposure variables and elite Australian footballers' risk of subsequent HSI, with the association strongest when examining data within 7-14 days. Despite this, the use of running exposure variables displayed limited clinical utility to predict HSI at the individual level.
调查跑步暴露与精英澳式足球运动员腘绳肌拉伤(HSI)风险之间的关系。
来自 5 个不同球队的 220 名精英澳式足球运动员参加了这项研究。每位运动员在整个 2015 赛季的每次训练和比赛中都提供了全球定位系统(GPS)数据。报告了研究期间 HSI 的发生情况。进行了接收者操作特征曲线分析,并计算了与前一周/周覆盖的 10 公里/小时以上和 24 公里/小时以上的距离相关的绝对和相对跑步暴露变量的后续 HSI 的相对风险(RR)。
发生了 30 例前瞻性 HSI。对于绝对跑步暴露变量,前一周/周覆盖的 24 公里/小时以上的距离(>653 米,RR=3.4,95%CI 1.6 至 7.2,敏感性=0.52,特异性=0.76,曲线下面积(AUC)=0.63)对随后一周的 HSI 风险影响最大。对于相对跑步暴露变量,24 公里/小时以上的距离占 10 公里/小时以上的距离的百分比(>2.5%,RR=6.3,95%CI 1.5 至 26.7,敏感性=0.93,特异性=0.34,AUC=0.63)对随后一周的 HSI 风险影响最大。尽管 HSI 的 RR 显著增加,但这些变量的预测能力有限。
绝对和相对跑步暴露变量与精英澳式足球运动员随后发生 HSI 的风险之间存在关联,当在 7-14 天内检查数据时,关联最强。尽管如此,跑步暴露变量的使用在个体水平上预测 HSI 的临床实用性有限。