Polley Chris S, Cormack Stuart J, Gabbett Tim J, Polglaze Ted
1School of Exercise Science, Australian Catholic University, Melbourne, Australia; 2School of Exercise Science, Australian Catholic University, Brisbane, Australia; 3School of Exercise Science, University of Western Australia, Australia; and 4Department of Physiology, Australian Institute of Sport, Western Australia, Australia.
J Strength Cond Res. 2015 Jan;29(1):126-36. doi: 10.1519/JSC.0000000000000599.
Despite lacrosse being one of the fastest growing team sports in the world, there is a paucity of information detailing the activity profile of high-level players. Microtechnology systems (global positioning systems and accelerometers) provide the opportunity to obtain detailed information on the activity profile in lacrosse. Therefore, this study aimed to analyze the activity profile of lacrosse match-play using microtechnology. Activity profile variables assessed relative to minutes of playing time included relative distance (meter per minute), distance spent standing (0-0.1 m·min), walking (0.2-1.7 m·min), jogging (1.8-3.2 m·min), running (3.3-5.6 m·min), sprinting (≥5.7 m·min), number of high, moderate, low accelerations and decelerations, and player load (PL per minute), calculated as the square root of the sum of the squared instantaneous rate of change in acceleration in 3 vectors (medio-lateral, anterior-posterior, and vertical). Activity was recorded from 14 lacrosse players over 4 matches during a national tournament. Players were separated into positions of attack, midfield, or defense. Differences (effect size [ES] ± 90% confidence interval) between positions and periods of play were considered likely positive when there was ≥75% likelihood of the difference exceeding an ES threshold of 0.2. Midfielders had likely covered higher (mean ± SD) meters per minute (100 ± 11) compared with attackers (87 ± 14; ES = 0.89 ± 1.04) and defenders (79 ± 14; ES = 1.54 ± 0.94) and more moderate and high accelerations and decelerations. Almost all variables across positions were reduced in quarter 4 compared with quarter 1. Coaches should accommodate for positional differences when preparing lacrosse players for competition.
尽管长曲棍球是世界上发展最快的团队运动之一，但详细描述高水平运动员活动概况的信息却很匮乏。微技术系统（全球定位系统和加速度计）为获取长曲棍球活动概况的详细信息提供了机会。因此，本研究旨在使用微技术分析长曲棍球比赛的活动概况。相对于比赛时间（分钟）评估的活动概况变量包括相对距离（米/分钟）、站立时间（0 - 0.1米·分钟）、步行时间（0.2 - 1.7米·分钟）、慢跑时间（1.8 - 3.2米·分钟）、跑步时间（3.3 - 5.6米·分钟）、冲刺时间（≥5.7米·分钟）、高、中、低加速度和减速度的次数，以及运动员负荷（每分钟PL），其计算方法为三个向量（左右、前后和垂直）中加速度瞬时变化率平方和的平方根。在一次全国锦标赛期间，记录了14名长曲棍球运动员在4场比赛中的活动情况。运动员被分为进攻、中场或防守位置。当差异超过0.2的效应量阈值的可能性≥75%时，各位置和比赛时段之间的差异（效应量[ES]±90%置信区间）被认为可能为正。与进攻球员（87±14；ES = 0.89±1.04）和防守球员（79±14；ES = 1.54±0.94）相比，中场球员每分钟可能覆盖更高的（平均值±标准差）距离（100±11），并且有更多的中度和高度加速度及减速度。与第1节相比，几乎所有位置的变量在第4节都有所减少。教练在为长曲棍球运动员准备比赛时应考虑到位置差异。
