Maximal Intensity Periods During International Male Field Hockey

Paul S. R. Goods, Brendyn Appleby, Brendan R. Scott, Peter Peeling, Brook Galna
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Abstract

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−1), accelerations (> 2.5 m·s2), decelerations (< − 2.5 m·s2) and high-speed cuts (45° change of direction and > 5 m·s−1) 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−1) than the match average (116 m·min−1) 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.

国际男子曲棍球比赛的最大强度时段
在这项回顾性队列研究中,我们研究了最大强度期(MIPs)在国际曲棍球运动中的广泛运动特征。此外,我们检查了近高峰时期的强度,以及不同运动特征的高峰需求是否同时发生。在为期13个月的4场国际锦标赛(n = 393场球员比赛)中,通过可穿戴跟踪设备获得了28名澳大利亚优秀男子曲棍球运动员的运动数据。通过滚动和法对平均速度、高速距离(>;5 m·s−1),加速度(>;2.5 m·s2),减速(<;- 2.5 m·s2)和高速切割(45°方向变化和>;5 m·s−1),跨越8个时期(范围:5 s - 5 min)。随机效应线性混合模型用于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MIP期间,平均速度(210 m·min - 1)比比赛平均速度(116 m·min - 1)高出约80%,并且球员经常达到较高的平均速度(例如,第10最激烈的一分钟仍然比比赛平均速度高出约44%)。高速距离、累计加减速>;在1分钟MIP期间,这些变量的速度比匹配平均速度快5倍,高速切割的发生频率高出10倍。在总距离的1分钟MIP中,所有其他运动特征都小于该变量的1分钟MIP的40%(除了高速距离:76%)。比赛平均值大大低估了精英曲棍球的MIPs。从业者应考虑分析比赛的高峰期,重点关注高强度运动,为团队专项训练的监测和处方提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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