Goods Paul S R, Appleby Brendyn, Scott Brendan R, Peeling Peter, Galna Brook
PHysical Activity, Sport, and Exercise (PHASE) Research Group, School of Allied Health (Exercise Science), Murdoch University, Perth, Australia.
Centre for Healthy Ageing, Health Futures Institute, Murdoch University, Perth, Australia.
Eur J Sport Sci. 2025 Jul;25(7):e12333. doi: 10.1002/ejsc.12333.
In this retrospective cohort study, we examined maximal intensity periods (MIPs) for a broad range of movement characteristics during international field hockey. Further, we examined the intensity of near-peak periods, and whether peak demands for different movement characteristics occurred simultaneously. Player movement data from 28 Australian elite male field hockey players were obtained via wearable tracking devices in four international tournaments over 13 months (n = 393 player-matches). MIPs were identified via the rolling-sum method for mean speed, high-speed distance (> 5 m·s), accelerations (> 2.5 m·s), decelerations (< - 2.5 m·s) and high-speed cuts (45° change of direction and > 5 m·s) across eight epochs (range: 5 s-5 min). Random effects linear mixed models were used to estimate means for each movement characteristic, with random intercepts fitted for players and matches. Mean speed was ∼80% higher during the 1 min MIP (210 m·min) than the match average (116 m·min) and players regularly reached high mean speeds (for instance, the 10th most intense minute was still ∼44% above match average). High-speed distance, accelerations and decelerations accumulated > 5x faster during the 1 min MIP for those variables than the match average and high-speed cuts occurred with ∼10x greater frequency. During the 1 min MIP for total distance, all other movement characteristics were less than 40% of the 1 min MIP for that variable (except high-speed distance: 76%). Match averages substantially underestimate the MIPs of elite field hockey. Practitioners should consider analysing the peak periods of matches, with a focus on high-intensity movements, to inform monitoring and prescription of team sport-specific training.
在这项回顾性队列研究中,我们考察了国际曲棍球比赛中广泛运动特征的最大强度时段(MIPs)。此外,我们还考察了接近峰值时段的强度,以及不同运动特征的峰值需求是否同时出现。通过可穿戴追踪设备,在13个月内的四项国际赛事中获取了28名澳大利亚精英男子曲棍球运动员的球员运动数据(n = 393场球员比赛)。通过滚动求和法确定平均速度、高速距离(> 5 m·s)、加速度(> 2.5 m·s)、减速度(< -2.5 m·s)和高速变向(45°方向变化且> 5 m·s)在八个时间段(范围:5秒 - 5分钟)的MIPs。使用随机效应线性混合模型估计每个运动特征的均值,并为球员和比赛拟合随机截距。在1分钟的MIP期间,平均速度(210 m·min)比比赛平均速度(116 m·min)高约80%,球员经常达到较高的平均速度(例如,第10个强度最高的分钟仍比比赛平均速度高约44%)。对于这些变量,在1分钟的MIP期间,高速距离、加速度和减速度的累积速度比比赛平均速度快5倍以上,高速变向的发生频率约高10倍。在总距离的1分钟MIP期间,所有其他运动特征均低于该变量1分钟MIP的40%(高速距离除外:76%)。比赛平均速度大大低估了精英曲棍球比赛的MIPs。从业者应考虑分析比赛的峰值时段,重点关注高强度运动,以便为团队运动专项训练的监测和处方提供依据。