Surrey County Cricket Club, UK.
Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, UK.
J Sci Med Sport. 2020 Jun;23(6):569-573. doi: 10.1016/j.jsams.2020.01.004. Epub 2020 Jan 9.
Methodological concerns relating to acute-to-chronic workload ratios (ACWR) have been raised. This study aimed to assess the relationship between an alternative predictor variable named 'differential load', representing the smoothed week-to-week rate change in load, and injury risk in first class county cricket (FCCC) fast bowlers.
Prospective cohort study.
Bowling loads and injuries were recorded for 49 professional male fast bowlers from six FCCC teams. A range of differential loads and ACWRs were calculated and subjected to a variable selection procedure.
Exponentially-weighted 7-day differential load, 9:21-day ACWR, 42-day chronic load, and 9-day acute load were the best-fitting predictor variables in their respective categories. From these, a generalized linear mixed-effects model combining 7-day differential load, 42-day chronic load, and 9-day acute load provided the best model fit. A two-standard deviation (2SD) increase in 7-day differential load (22 overs) was associated with a substantial increase in injury risk (risk ratio [RR]=2.47, 90% CI: 1.27-4.80, most likely harmful), and a 2SD increase in 42-day chronic load (17.5 overs/week) was associated with a most likely harmful increase in injury risk (RR=6.77, 90% CI: 2.15-21.33). For 9-day acute load, very low values (≤1 over/week) were associated with a most likely higher risk of injury versus moderate (17.5 overs/week; RR: 15.50, 90% CI: 6.19-38.79) and very high 9-day acute loads (45.5 overs/week; RR: 133.33, 90% CI: 25.26-703.81).
Differential loads may be used to identify potentially harmful spikes in load, whilst mitigating methodological issues associated with ACWRs.
人们对急性至慢性工作量比(ACWR)的方法学问题提出了关注。本研究旨在评估另一个预测变量“差异负荷”(代表负荷周间平滑变化率)与一级县板球(FCCC)快投手受伤风险之间的关系。
前瞻性队列研究。
记录了来自六个 FCCC 球队的 49 名职业男性快投手的投球负荷和受伤情况。计算了一系列差异负荷和 ACWR,并进行了变量选择过程。
指数加权 7 天差异负荷、9:21 天 ACWR、42 天慢性负荷和 9 天急性负荷是各自类别中最佳拟合的预测变量。在这些变量中,结合 7 天差异负荷、42 天慢性负荷和 9 天急性负荷的广义线性混合效应模型提供了最佳模型拟合。7 天差异负荷增加 2 个标准差(22 局)与受伤风险显著增加相关(风险比[RR]=2.47,90%CI:1.27-4.80,极可能有害),42 天慢性负荷增加 2 个标准差(17.5 局/周)与受伤风险极可能有害增加相关(RR=6.77,90%CI:2.15-21.33)。对于 9 天急性负荷,非常低的值(≤1 局/周)与受伤风险极可能更高相关,而中度(17.5 局/周;RR:15.50,90%CI:6.19-38.79)和非常高的 9 天急性负荷(45.5 局/周;RR:133.33,90%CI:25.26-703.81)。
差异负荷可用于识别潜在的负荷激增,同时减轻与 ACWR 相关的方法学问题。