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专业橄榄球联盟在巅峰比赛期后的活动分析。

Profiling Professional Rugby Union Activity After Peak Match Periods.

出版信息

Int J Sports Physiol Perform. 2023 Jul 20;18(9):968-981. doi: 10.1123/ijspp.2023-0028. Print 2023 Sep 1.

DOI:10.1123/ijspp.2023-0028
PMID:37474117
Abstract

The aim of this investigation was to quantify professional rugby union player activity profiles after the most intense (peak) passages of matches. Movement data were collected from 30 elite and 30 subelite professional rugby union athletes across respective competitive seasons. Accelerometer-derived PlayerLoad and global navigation satellite system-derived measures of mean speed and metabolic power were analyzed using a rolling-average method to identify the most intense 5- to 600-second passages (ie, worst-case scenarios) within matches. Player activity profiles immediately post their peak 5- to 600-second match intensity were identified using 5 epoch duration-matched intervals. Mean speed, metabolic power, and PlayerLoad declined sharply (∼29%-86%) after the most intense 5 to 600 seconds of matches. Following the most intense periods of rugby matches, exercise intensity declined below the average match-half intensity 81% of the time and seldom returned to or exceeded it, likely due to a host of individual physical and physiological characteristics, transient and/or accumulative fatigue, contextual factors, and pacing strategies. Typically, player exercise intensities after the most intense passages of matches were similar between match halves, positional groups, and levels of rugby competition. Accurate identification of the peak exercise intensities of matches and movement thereafter using novel methodologies has improved the limited understanding of professional rugby union player activity profiles following the worst-case scenarios of matches. Findings of the present study may inform match-representative training prescription, monitoring, and tactical match decisions (eg, substitutions and positional changes).

摘要

本研究旨在量化职业橄榄球运动员在比赛最激烈(峰值)阶段后的活动特征。在各自的竞技赛季中,从 30 名精英和 30 名次精英职业橄榄球运动员身上收集了运动数据。使用滚动平均值方法分析加速度计衍生的运动员负荷(PlayerLoad)和全球导航卫星系统衍生的平均速度和代谢功率指标,以确定比赛中最激烈的 5 到 600 秒的阶段(即最坏情况)。使用 5 个时距匹配间隔,确定比赛中最激烈的 5 到 600 秒后的运动员活动特征。比赛中最激烈的 5 到 600 秒结束后,平均速度、代谢功率和 PlayerLoad 急剧下降(约 29%-86%)。在橄榄球比赛最激烈的阶段之后,运动强度低于比赛半场平均强度的情况出现了 81%,很少恢复到或超过这一强度,这可能是由于个体的身体和生理特征、短暂和/或累积疲劳、环境因素和节奏策略等多种因素导致的。通常情况下,比赛最激烈阶段之后,比赛上下半场、位置组别和橄榄球比赛水平之间的运动员运动强度相似。使用新方法准确识别比赛的峰值运动强度以及随后的运动情况,提高了对比赛最坏情况后职业橄榄球运动员活动特征的有限认识。本研究的结果可能为有代表性的比赛训练方案、监测和战术比赛决策(如换人、位置变化)提供信息。

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