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.

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
Ann发布了新的文献求助10
刚刚
xbj笑哈哈完成签到 ,获得积分10
刚刚
zhangfengyu玉完成签到 ,获得积分10
刚刚
pluto完成签到,获得积分0
1秒前
2秒前
我是老大应助小桑桑采纳,获得10
3秒前
Mininine发布了新的文献求助10
3秒前
3秒前
4秒前
4秒前
不能没有科研完成签到,获得积分10
4秒前
4秒前
木子小微完成签到,获得积分10
5秒前
八珍猪蹄完成签到,获得积分10
5秒前
cheche完成签到,获得积分10
5秒前
kk完成签到,获得积分10
5秒前
伟少发布了新的文献求助10
5秒前
5秒前
科研通AI6.2应助吴金灿采纳,获得10
5秒前
白色风车完成签到,获得积分10
6秒前
wuyou992完成签到,获得积分10
6秒前
6秒前
666666666666666完成签到 ,获得积分10
7秒前
桐桐应助张来采纳,获得10
8秒前
许进文完成签到,获得积分10
8秒前
喜悦的铭完成签到,获得积分10
8秒前
9秒前
双硫仑发布了新的文献求助10
9秒前
0406完成签到,获得积分10
9秒前
jiangfei完成签到,获得积分10
9秒前
茶色玻璃发布了新的文献求助10
10秒前
geold完成签到,获得积分10
10秒前
11秒前
zky发布了新的文献求助10
11秒前
11秒前
Yu完成签到,获得积分10
11秒前
12秒前
yhzbmw完成签到,获得积分10
12秒前
和谐的蜡烛完成签到,获得积分10
12秒前
白日梦完成签到 ,获得积分10
12秒前
高分求助中
Clinical Epidemiology: The Essentials, 6e 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
The Graphene Handbook (2019 Edition) 800
Adhesion Science: Principles & Practice 800
Signals, Systems, and Signal Processing 610
IEST-RP-CC018: Cleanroom Cleaning and Sanitization: Operating and Monitoring Procedures 600
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6534918
求助须知:如何正确求助?哪些是违规求助? 8328197
关于积分的说明 17842078
捐赠科研通 5636603
什么是DOI,文献DOI怎么找? 2934644
邀请新用户注册赠送积分活动 1910857
关于科研通互助平台的介绍 1769279