Essendon Football Club, Melbourne, Australia School of Allied Health Sciences, Griffith University, Gold Coast, Australia.
School of Exercise Science, Australian Catholic University, Brisbane, Australia School of Human Movement Studies, University of Queensland, Brisbane, Australia.
Br J Sports Med. 2016 Apr;50(8):471-5. doi: 10.1136/bjsports-2015-095445. Epub 2015 Dec 23.
The return to sport from injury is a difficult multifactorial decision, and risk of reinjury is an important component. Most protocols for ascertaining the return to play status involve assessment of the healing status of the original injury and functional tests which have little proven predictive ability. Little attention has been paid to ascertaining whether an athlete has completed sufficient training to be prepared for competition. Recently, we have completed a series of studies in cricket, rugby league and Australian rules football that have shown that when an athlete's training and playing load for a given week (acute load) spikes above what they have been doing on average over the past 4 weeks (chronic load), they are more likely to be injured. This spike in the acute:chronic workload ratio may be from an unusual week or an ebbing of the athlete's training load over a period of time as in recuperation from injury. Our findings demonstrate a strong predictive (R(2)=0.53) polynomial relationship between acute:chronic workload ratio and injury likelihood. In the elite team setting, it is possible to quantify the loads we are expecting athletes to endure when returning to sport, so assessment of the acute:chronic workload ratio should be included in the return to play decision-making process.
从伤病中恢复运动是一个困难的多因素决策，而再次受伤的风险是一个重要的组成部分。大多数确定复出状态的方案都涉及评估原始损伤的愈合状况和功能测试，但这些测试的预测能力几乎没有得到证实。很少有人关注运动员是否已经完成了足够的训练，以准备参加比赛。最近，我们在板球、橄榄球联盟和澳式足球中完成了一系列研究，这些研究表明，当运动员一周的训练和比赛负荷（急性负荷）高于过去 4 周的平均负荷（慢性负荷）时，他们更有可能受伤。这种急性与慢性工作量比率的上升可能是由于一周的异常，也可能是由于运动员的训练负荷在一段时间内逐渐减少，例如从伤病中恢复。我们的研究结果表明，急性与慢性工作量比率与受伤可能性之间存在很强的预测性（R(2)=0.53）多项式关系。在精英团队环境中，可以量化运动员重返运动时预计要承受的负荷，因此，在复出决策过程中应包括对急性与慢性工作量比率的评估。
