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澳大利亚职业足球运动员赛季中宏观周期内模型估计值与实际比赛表现指标之间的关系

Relationships Between Model Estimates and Actual Match-Performance Indices in Professional Australian Footballers During an In-Season Macrocycle.

作者信息

Graham Stuart R, Cormack Stuart, Parfitt Gaynor, Eston Roger

出版信息

Int J Sports Physiol Perform. 2018 Mar 1;13(3):339-346. doi: 10.1123/ijspp.2017-0026. Epub 2018 Mar 9.

Abstract

PURPOSE

To assess and compare the validity of internal and external Australian football (AF) training-load measures for predicting match exercise intensity (MEI/min) and player-rank score (PR) using a variable dose-response model.

METHODS

A cohort of 25 professional AF players (23 ± 3 y, 188.3 ± 7.2 cm, 87.7 ± 8.4 kg) completed a 24-wk in-season macrocycle. In-season internal training and match load were quantified using session rating of perceived exertion (sRPE) and external load from satellite and accelerometer data. Using a training-impulse (TRIMP) calculation, external load (au) was represented as distance (TRIMP), distance ≥4.16 m/s (TRIMP), and PlayerLoad (TRIMP). In-season training load, MEI/min, and PR were applied to a variable dose-response model, which provided estimates of MEI/min and PR. Predicted MEI/min and PR were correlated with actual measures from each match. The magnitude of the difference between MEI/min and PR estimates for each model input and the difference between the precision of internal and external load measures to predict MEI/min and PR were calculated using the effect size ± 90% confidence interval (CI).

RESULTS

Estimates of MEI/min demonstrated very large associations with actual MEI/min (r, 90% CI) (eg, TRIMP .76 ± .13, and sRPE .73 ± .14). Estimates of PR demonstrated associations of large magnitude with actual PR using the same inputs. Precision of actual MEI/min was lowest using sRPE compared with (ES ± 90% CI) TRIMP, -.67 ± .34, and TRIMP, -.91 ± .39. There were trivial and unclear differences in the precision of PR estimates between TRIMP and sRPE inputs.

CONCLUSIONS

Dose-response models from multiple training-load inputs can predict within-individual variation of MEI/min and PR. Internal and external training-input methods exhibited comparable predictive power.

摘要

目的

使用可变剂量反应模型评估并比较澳大利亚式足球(AF)内部和外部训练负荷测量方法在预测比赛运动强度(MEI/分钟)和球员排名得分(PR)方面的有效性。

方法

25名职业AF球员(23±3岁,188.3±7.2厘米,87.7±8.4千克)组成的队列完成了为期24周的赛季宏观周期。赛季内的内部训练和比赛负荷通过主观用力程度评分(sRPE)以及卫星和加速度计数据的外部负荷进行量化。通过训练冲量(TRIMP)计算,外部负荷(au)表示为距离(TRIMP)、速度≥4.16米/秒时的距离(TRIMP)以及球员负荷(TRIMP)。将赛季内训练负荷、MEI/分钟和PR应用于可变剂量反应模型,该模型提供了MEI/分钟和PR的估计值。预测的MEI/分钟和PR与每场比赛的实际测量值相关。使用效应量±90%置信区间(CI)计算每个模型输入的MEI/分钟和PR估计值之间的差异大小以及内部和外部负荷测量方法预测MEI/分钟和PR的精度差异。

结果

MEI/分钟的估计值与实际MEI/分钟显示出非常强的相关性(r,90%CI)(例如,TRIMP为0.76±0.13,sRPE为0.73±0.14)。使用相同输入时,PR的估计值与实际PR显示出较大的相关性。与(效应量±90%CI)TRIMP(-0.67±0.34)和TRIMP(-0.91±0.39)相比,使用sRPE时实际MEI/分钟的精度最低。TRIMP和sRPE输入之间PR估计值的精度差异微不足道且不明确。

结论

来自多个训练负荷输入的剂量反应模型可以预测个体内MEI/分钟和PR的变化。内部和外部训练输入方法表现出相当的预测能力。

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