Sport Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand.
School of Engineering, Computer and Mathematical Sciences, Auckland University of Technology, Auckland, New Zealand.
PeerJ. 2022 Mar 29;10:e13195. doi: 10.7717/peerj.13195. eCollection 2022.
The purpose of this study was to compare the effects of cluster (CS), rest redistribution (RR) and traditional (TS) set configurations on acute neuromuscular performance, and to determine the viability of using CS and RR as alternatives to training prescription based on velocity loss (VL).
Thirty-one resistance-trained men performed, in a randomised order, three experimental sessions consisting of the squat (SQ) and bench press (BP) exercises performed against the 10-repetition maximum load using CS (three sets of six repetitions; 30 s of intra-set rest every two repetitions; 3 min of inter-set rest), RR (9 sets of two repetitions; 45 s of inter-set rest), and TS (3 sets of 6 repetitions; 3 min of inter-set rest), set configurations.
Linear mixed-effects model analysis revealed that participants had significantly lower VL ( = 0.0005) during CS and RR than TS. Generalised mixed-effects model analysis yielded significant main effects of set structure ( < 0.0001; RR > CS > TS), exercise ( < 0.0001; SQ > BP), and set number ( = 0.0006; Set 1 > Set 2 > Set 3) for maintaining repetition velocity above a 20% VL threshold.
These findings suggest that CS and RR are effective at reducing the overall fatigue-included decrease in velocity compared to TS and allow the majority of repetitions to be completed with less than 20% VL. Therefore, both CS and RR can be used to manage fatigue during resistance training, and as alternatives to training prescription method based on 20% VL threshold.
本研究旨在比较集群 (CS)、休息再分配 (RR) 和传统 (TS) 组配置对急性神经肌肉性能的影响,并确定 CS 和 RR 是否可以作为基于速度损失 (VL) 的训练方案替代方法。
31 名经过阻力训练的男性以随机顺序进行了三个实验,分别进行了深蹲 (SQ) 和卧推 (BP) 练习,使用 CS (三组六次重复;每组两次重复之间 30 秒的组内休息;每组之间 3 分钟的组间休息)、RR (9 组两次重复;每组之间 45 秒的组间休息) 和 TS (三组六次重复;每组之间 3 分钟的组间休息) 的组配置。
线性混合效应模型分析显示,与 TS 相比,参与者在 CS 和 RR 中的 VL 降低幅度明显更大 ( = 0.0005)。广义混合效应模型分析产生了显著的组结构主效应 ( < 0.0001;RR > CS > TS)、运动主效应 ( < 0.0001;SQ > BP) 和组数量主效应 ( = 0.0006;Set 1 > Set 2 > Set 3),用于保持重复速度超过 20%VL 阈值。
这些发现表明,与 TS 相比,CS 和 RR 能更有效地减少整体疲劳导致的速度下降,并且允许大多数重复完成时的速度损失小于 20%VL。因此,CS 和 RR 均可用于抵抗训练期间的疲劳管理,并且可以作为基于 20%VL 阈值的训练方案替代方法。