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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
港岛妹妹发布了新的文献求助10
刚刚
刚刚
隐形曼青应助hqq采纳,获得10
2秒前
3秒前
3秒前
飞行学院发布了新的文献求助10
4秒前
余味完成签到,获得积分10
5秒前
hanabi发布了新的文献求助10
6秒前
万尧完成签到,获得积分20
6秒前
领导范儿应助狮子毛毛采纳,获得10
6秒前
Ehgnix发布了新的文献求助10
8秒前
8秒前
万尧发布了新的文献求助10
8秒前
JPH1990应助ggg采纳,获得10
9秒前
9秒前
9秒前
9秒前
10秒前
10秒前
11秒前
11秒前
科研通AI5应助称心寒松采纳,获得10
11秒前
12秒前
于归发布了新的文献求助10
13秒前
开放幻丝完成签到 ,获得积分10
14秒前
芜湖完成签到 ,获得积分10
14秒前
14秒前
15秒前
15秒前
15秒前
早日毕业发布了新的文献求助10
16秒前
雨诺发布了新的文献求助10
16秒前
头秃的弟弟完成签到 ,获得积分20
16秒前
16秒前
smileam发布了新的文献求助10
16秒前
17秒前
Yxy发布了新的文献求助10
17秒前
17秒前
诚心谷南发布了新的文献求助10
17秒前
18秒前
高分求助中
The organometallic chemistry of the transition metals 7th 666
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
Seven new species of the Palaearctic Lauxaniidae and Asteiidae (Diptera) 400
Where and how to use plate heat exchangers 350
Handbook of Laboratory Animal Science 300
Fundamentals of Medical Device Regulations, Fifth Edition(e-book) 300
A method for calculating the flow in a centrifugal impeller when entropy gradients are present 240
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3704381
求助须知:如何正确求助?哪些是违规求助? 3253927
关于积分的说明 9886503
捐赠科研通 2965712
什么是DOI,文献DOI怎么找? 1626530
邀请新用户注册赠送积分活动 770853
科研通“疑难数据库(出版商)”最低求助积分说明 743062