Monitoring fatigue status in elite team sport athletes: implications for practice

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Monitoring fatigue status in elite team sport athletes : implications for practice. / Thorpe, Robin T.; Atkinson, Greg; Drust, B; Gregson, Warren.

In: International journal of sports physiology and performance, Vol. 12, No. s2, 31.01.2017, p. S2-27–S2-34.

Research output: Contribution to journalArticle

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Author

Thorpe, Robin T. ; Atkinson, Greg ; Drust, B ; Gregson, Warren. / Monitoring fatigue status in elite team sport athletes : implications for practice. In: International journal of sports physiology and performance. 2017 ; Vol. 12, No. s2. pp. S2-27–S2-34.

Bibtex

@article{c9e7ff8952c84bdc86bf5b1cbc40c8d6,
title = "Monitoring fatigue status in elite team sport athletes: implications for practice",
abstract = "The increase in competition demands in elite team sports over recent years has prompted much attention from researchers and practitioners into the monitoring of adaptation and fatigue in athletes. Monitoring of fatigue and gaining an understanding of athlete status may also provide insights and beneficial information pertaining to player availability, injury and illness risk. Traditional methods used to quantify recovery and fatigue in team sports such as maximal physical performance assessments may not be feasible in order to detect variations in fatigue status throughout competitive periods. The implementation of more quick, simple and non-exhaustive tests such as athlete self-report measures (ASRM), autonomic nervous system (ANS) response via heart rate derived indices and to a lesser extent jump protocols may serve as promising tools to quantify and establish fatigue status in elite team sport athletes. The robust rationalization and precise detection of a meaningful fluctuation in these measures are of paramount importance for practitioners working alongside athletes and coaches on a daily basis. There are various methods for arriving at a minimal clinically important difference (MCID), but these have been rarely adopted by sports scientists and practitioners. The implementation of appropriate, reliable and sensitive measures of fatigue can provide important information to key stakeholders within team sport environments. Future research is required to investigate the sensitivity of these tools to fundamental indicators such as performance, injury and illness.",
keywords = "training, performance, wellness, recovery, injury, illness",
author = "Thorpe, {Robin T.} and Greg Atkinson and B Drust and Warren Gregson",
year = "2017",
month = jan,
day = "31",
doi = "10.1123/ijspp.2016-0434",
language = "English",
volume = "12",
pages = "S2--27–S2--34",
journal = "International journal of sports physiology and performance",
issn = "1555-0265",
publisher = "Human Kinetics",
number = "s2",

}

RIS

TY - JOUR

T1 - Monitoring fatigue status in elite team sport athletes

T2 - implications for practice

AU - Thorpe, Robin T.

AU - Atkinson, Greg

AU - Drust, B

AU - Gregson, Warren

PY - 2017/1/31

Y1 - 2017/1/31

N2 - The increase in competition demands in elite team sports over recent years has prompted much attention from researchers and practitioners into the monitoring of adaptation and fatigue in athletes. Monitoring of fatigue and gaining an understanding of athlete status may also provide insights and beneficial information pertaining to player availability, injury and illness risk. Traditional methods used to quantify recovery and fatigue in team sports such as maximal physical performance assessments may not be feasible in order to detect variations in fatigue status throughout competitive periods. The implementation of more quick, simple and non-exhaustive tests such as athlete self-report measures (ASRM), autonomic nervous system (ANS) response via heart rate derived indices and to a lesser extent jump protocols may serve as promising tools to quantify and establish fatigue status in elite team sport athletes. The robust rationalization and precise detection of a meaningful fluctuation in these measures are of paramount importance for practitioners working alongside athletes and coaches on a daily basis. There are various methods for arriving at a minimal clinically important difference (MCID), but these have been rarely adopted by sports scientists and practitioners. The implementation of appropriate, reliable and sensitive measures of fatigue can provide important information to key stakeholders within team sport environments. Future research is required to investigate the sensitivity of these tools to fundamental indicators such as performance, injury and illness.

AB - The increase in competition demands in elite team sports over recent years has prompted much attention from researchers and practitioners into the monitoring of adaptation and fatigue in athletes. Monitoring of fatigue and gaining an understanding of athlete status may also provide insights and beneficial information pertaining to player availability, injury and illness risk. Traditional methods used to quantify recovery and fatigue in team sports such as maximal physical performance assessments may not be feasible in order to detect variations in fatigue status throughout competitive periods. The implementation of more quick, simple and non-exhaustive tests such as athlete self-report measures (ASRM), autonomic nervous system (ANS) response via heart rate derived indices and to a lesser extent jump protocols may serve as promising tools to quantify and establish fatigue status in elite team sport athletes. The robust rationalization and precise detection of a meaningful fluctuation in these measures are of paramount importance for practitioners working alongside athletes and coaches on a daily basis. There are various methods for arriving at a minimal clinically important difference (MCID), but these have been rarely adopted by sports scientists and practitioners. The implementation of appropriate, reliable and sensitive measures of fatigue can provide important information to key stakeholders within team sport environments. Future research is required to investigate the sensitivity of these tools to fundamental indicators such as performance, injury and illness.

KW - training

KW - performance

KW - wellness

KW - recovery

KW - injury

KW - illness

U2 - 10.1123/ijspp.2016-0434

DO - 10.1123/ijspp.2016-0434

M3 - Article

VL - 12

SP - S2-27–S2-34

JO - International journal of sports physiology and performance

JF - International journal of sports physiology and performance

SN - 1555-0265

IS - s2

ER -