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健身-疲劳模型:数字背后隐藏着什么?

The Fitness-Fatigue Model: What's in the Numbers?

机构信息

Department of Movement and Sports Sciences, Ghent University, Ghent,Belgium.

BIOMATH, Department of Data Analysis and Mathematical Modelling, Ghent University, Ghent,Belgium.

出版信息

Int J Sports Physiol Perform. 2022 May 1;17(5):810-813. doi: 10.1123/ijspp.2021-0494. Epub 2022 Mar 23.

Abstract

PURPOSE

The purpose of this commentary is to outline some of the pitfalls when using the fitness-fatigue model to unravel the interaction between training load and performance. By doing so, we encourage sport scientists and coaches to interpret the parameters from the model with some extra caution.

CONCLUSIONS

Caution is needed when interpreting the fitness-fatigue model since the parameter values are influenced by the starting parameter values, the modeling technique, and the input of the model. Also, the use of general constants should be avoided since they do not account for interindividual differences and differences between training-load methods. Therefore, we advise sport scientists and coaches to use the model as a way to work more data-informed rather than working data-driven.

摘要

目的

本文评论的目的是概述在使用体能-疲劳模型来阐明训练负荷与表现之间的相互作用时可能遇到的一些陷阱。通过这样做,我们鼓励运动科学家和教练在解释模型参数时要格外小心。

结论

在解释体能-疲劳模型时需要谨慎,因为参数值会受到起始参数值、建模技术和模型输入的影响。此外,应避免使用通用常数,因为它们不能说明个体差异和训练负荷方法之间的差异。因此,我们建议运动科学家和教练将该模型用作更具数据依据的工作方式,而不是数据驱动的工作方式。

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