The Influence of Different Training Load Quantification Methods on the Fitness-Fatigue Model

自感劳累评分 自行车测力计 自感劳累 培训(气象学) 劳累 心理学 物理疗法 医学 统计 数学 内科学 血压 心率 物理 气象学
作者
Kobe Vermeire,Freek Van de Casteele,Maxim Gosseries,Jan Bourgois,Michael Ghijs,Jan Boone
出处
期刊:International Journal of Sports Physiology and Performance [Human Kinetics]
卷期号:16 (9): 1261-1269 被引量:3
标识
DOI:10.1123/ijspp.2020-0662
摘要

Numerous methods exist to quantify training load (TL). However, the relationship with performance is not fully understood. Therefore the purpose of this study was to investigate the influence of the existing TL quantification methods on performance modeling and the outcome parameters of the fitness-fatigue model.During a period of 8 weeks, 9 subjects performed 3 interval training sessions per week. Performance was monitored weekly by means of a 3-km time trial on a cycle ergometer. After this training period, subjects stopped training for 3 weeks but still performed a weekly time trial. For all training sessions, Banister training impulse (TRIMP), Lucia TRIMP, Edwards TRIMP, training stress score, and session rating of perceived exertion were calculated. The fitness-fatigue model was fitted for all subjects and for all TL methods.The error in relating TL to performance was similar for all methods (Banister TRIMP: 618 [422], Lucia TRIMP: 625 [436], Edwards TRIMP: 643 [465], training stress score: 639 [448], session rating of perceived exertion: 558 [395], and kilojoules: 596 [505]). However, the TL methods evolved differently over time, which was reflected in the differences between the methods in the calculation of the day before performance on which training has the biggest positive influence (range of 19.6 d).The authors concluded that TL methods cannot be used interchangeably because they evolve differently.
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