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The application of differential ratings of perceived exertion to Australian Football League matches

机译:感知劳累差异评分在澳大利亚足球联赛中的应用

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摘要

Objectives: To investigate the application of differential ratings of perceived exertion for the examination of internal load during Australian Football League (AFL) matches.\udDesign: Single cohort, observational study.\udMethods: Using the centiMax rating of perceived exertion (RPE) scale, 26 professional AFL players provided ratings for match exertion (RPE-M), along with differential ratings for breathlessness (RPE-B), leg exertion (RPE-L), and technical demand (RPE-T) following 129 matches (5.0 ± 1.6 matches per player). Global positioning satellite (GPS) and accelerometer measures were also collected. Data were analysed using magnitude-based inferences.\udResults: RPE scores were 93.0 ± 8.2 AU (RPE-M), 89.0 ± 11.0 AU (RPE-B), 91.5 ± 9.8 AU (RPE-L), and 87.0 ± 10.0 AU (RPE-T). There was a most likely small difference between RPE-L and RPE-T (5.5%; ±90% confidence limits 1.9%), a likely small difference between RPE-L and RPE-B (3.5%; ±1.5%) and a possibly small difference between RPE-B and RPE-T (1.9%; ±1.9%). Within-player correlations between RPE and GPS measures were small for RPE-M (r = 0.14–0.28), unclear to small for RPE-B (r = 0.06–0.24) and unclear to moderate for RPE-L (r = 0.06–0.37). Differential RPE's combined to explain 76% of the variance in RPE-M. For all RPE scores, within-player variability was moderate to high (typical error: 7.9–12.4%), and the thresholds for a likely between-match change were 8.8–13.7%.\udConclusions: As differential RPE's represent distinct sensory inputs, the collection of these scores facilitate the interpretation of internal match loads and therefore represent a valuable addition to match data collection procedures. Moderate to high within-player variability should be considered when interpreting between-match changes in all RPE scores.
机译:目的:探讨在澳大利亚足球联赛(AFL)比赛期间,感知劳累差异评分在检查内部负荷中的应用。\ udDesign:单队列研究,观察性研究。\ ud方法:使用感知劳累centiMax评分(RPE)量表,有26名职业AFL运动员在129场比赛后提供了比赛强度(RPE-M),呼吸困难(RPE-B),腿部疲劳(RPE-L)和技术需求(RPE-T)的不同评分(5.0±每位玩家1.6场比赛)。还收集了全球定位卫星(GPS)和加速计措施。结果:RPE得分分别为93.0±8.2 AU(RPE-M),89.0±11.0 AU(RPE-B),91.5±9.8 AU(RPE-L)和87.0±10.0 AU (RPE-T)。 RPE-L和RPE-T之间最可能的细微差异(5.5%;±90%置信度限制1.9%),RPE-L和RPE-B之间的细微差异(3.5%;±1.5%)和RPE-B和RPE-T之间的差异可能很小(1.9%;±1.9%)。 RPE-M的RPE和GPS测量值之间的玩家内部相关性较小(r = 0.14–0.28),RPE-B的相关性较小至较小(r = 0.06-0.24),RPE-L的中等相关性尚不清楚(r = 0.06–0.2 0.37)。差分RPE的组合可解释RPE-M中76%的方差。对于所有RPE得分,玩家内部的变异性为中到高(典型误差:7.9–12.4%),而比赛之间可能发生变化的阈值为8.8–13.7%。\ ud结论:由于差异RPE代表不同的感觉输入,这些分数的收集有助于解释内部比赛负荷,因此代表了比赛数据收集程序的宝贵补充。在解释所有RPE得分的比赛间变化时,应考虑中度至高的球员内部差异。

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