Int J Sports Physiol Perform. 2021 Mar 1;16(3):342-352. doi: 10.1123/ijspp.2020-0002. Epub 2020 Dec 4.
A simple and 2 different exponentially weighted moving average methods were used to investigate the relationships between internal training load and elite weightlifting performance.
Training impulse data (sessional ratings of perceived exertion × training duration) were collected from 21 elite weightlifters (age = 26.0 [3.2] y, height = 162.2 [11.3] cm, body mass = 72.2 [23.8] kg, previous 12-mo personal best total 96.3% [2.7%] of world record total) during the 8 weeks prior to the 2016 Olympic Games qualifying competition. The amount of training modified or cancelled due to injury/illness was also collected. The training stress balance (TSB) and acute to chronic workload ratio (ACWR) were calculated with the 3 moving average methods. Along with the amount of modified training, TSB and ACWR across the moving average methods were then examined for their relationship to competitive performance.
There were no consistent associations between performance and training load on the day of competition. The volatility (SD) of the ACWR in the last 21 days preceding the competition was moderately correlated with performance across moving average methods (r = -.41 to .48, P = .03-.07). TSB and ACWR volatility in the last 21 days were also significantly lower for successful performers but only as a simple moving average (P = .03 and .03, g = 1.15 and 1.07, respectively).
Practitioners should consider restricting change and volatility in an athlete's TSB or ACWR in the last 21 days prior to a major competition. In addition, a simple moving average seemed to better explain elite weightlifting performance than the exponentially weighted moving averages in this investigation.
使用两种简单的指数加权移动平均方法来研究内部训练负荷与精英举重表现之间的关系。
从 21 名精英举重运动员(年龄=26.0[3.2]岁,身高=162.2[11.3]厘米,体重=72.2[23.8]千克,前 12 个月个人最好成绩为世界纪录总成绩的 96.3%[2.7%])在 2016 年奥运会资格赛之前的 8 周内收集训练冲动数据(会话感知用力×训练持续时间)。还收集了因受伤/患病而修改或取消的训练量。使用 3 种移动平均方法计算训练应激平衡(TSB)和急性至慢性工作量比(ACWR)。随着移动平均方法中修改训练的数量,然后检查 TSB 和 ACWR 与竞技表现的关系。
在比赛当天,表现与训练负荷之间没有一致的关联。在比赛前最后 21 天,ACWR 的波动率(SD)与移动平均方法的表现呈中度相关(r = -.41 至.48,P =.03-.07)。在比赛前最后 21 天,成功运动员的 TSB 和 ACWR 波动率也明显较低,但仅作为简单移动平均(P =.03 和.03,g = 1.15 和 1.07,分别)。
从业者应考虑在重大比赛前的最后 21 天限制运动员 TSB 或 ACWR 的变化和波动。此外,在本研究中,简单移动平均似乎比指数加权移动平均更好地解释了精英举重表现。