Literature DB >> 23319463

Monitoring fatigue and recovery in rugby league players.

Craig Twist1, Jamie Highton.   

Abstract

Rugby league is a contact team sport performed at an average intensity similar to that of other team sports (~70-80% VO2max), made up of unsystematic movements of varying type, duration, and frequency. The high number of collisions, repeated eccentric muscle contractions associated with accelerating and decelerating, and prolonged aerobic nature of rugby league matches result in the development of fatigue in the days after exercise. Monitoring the presence and magnitude of this fatigue to maximize performance and training adaptation is an important consideration for applied sports scientists. Several methods have been proposed to measure the magnitude of fatigue in athletes. Perceptual measures (eg, questionnaires) are easy to employ and are sensitive to changes in performance. However, the subjective nature of such measures should be considered. Blood biochemical markers of fatigue may provide a more objective measure of homeostatic disturbances associated with fatigue; however, the cost, level of expertise required, and high degree of variability of many of these measures often preclude them from being used in the applied setting. Accordingly, simple measure of muscle function (eg, jump height) and simulated performance offer the most practical and appropriate method of determining the extent of fatigue experienced by rugby league players. A meaningful change in each measure of fatigue for the monitoring of players can be easily determined, provided that the reliability of the measure is known. Multiplying the coefficient of variation by 0.3, 0.9, and 1.6 can be used to determine a small, moderate, and large change, respectively.

Entities:  

Mesh:

Year:  2012        PMID: 23319463     DOI: 10.1123/ijspp.8.5.467

Source DB:  PubMed          Journal:  Int J Sports Physiol Perform        ISSN: 1555-0265            Impact factor:   4.010


  24 in total

1.  Impact of Sport Context and Support on the Use of a Self-Report Measure for Athlete Monitoring.

Authors:  Anna E Saw; Luana C Main; Paul B Gastin
Journal:  J Sports Sci Med       Date:  2015-11-24       Impact factor: 2.988

2.  Monitoring athletes through self-report: factors influencing implementation.

Authors:  Anna E Saw; Luana C Main; Paul B Gastin
Journal:  J Sports Sci Med       Date:  2015-03-01       Impact factor: 2.988

Review 3.  Fatigue and Recovery in Rugby: A Review.

Authors:  Francisco Tavares; Tiaki Brett Smith; Matthew Driller
Journal:  Sports Med       Date:  2017-08       Impact factor: 11.136

4.  Predicting changes in high-intensity intermittent running performance with acute responses to short jump rope workouts in children.

Authors:  Martin Buchheit; Alireza Rabbani; Hamid Taghi Beigi
Journal:  J Sports Sci Med       Date:  2014-09-01       Impact factor: 2.988

Review 5.  Applied sport science of rugby league.

Authors:  Rich D Johnston; Tim J Gabbett; David G Jenkins
Journal:  Sports Med       Date:  2014-08       Impact factor: 11.136

6.  Evaluating the Clinical Utility of Daily Heart Rate Variability Assessment for Classifying Meaningful Change in Testosterone-to-Cortisol Ratio: A Preliminary Study.

Authors:  Justin A DeBlauw; Derek A Crawford; Brady K Kurtz; Nicholas B Drake; Katie M Heinrich
Journal:  Int J Exerc Sci       Date:  2021-04-01

Review 7.  Seasonal Changes in Strength and Power in Elite Rugby League: A Systematic Review and Meta-Analysis.

Authors:  Kellyanne J Redman; Vincent G Kelly; Emma M Beckman
Journal:  J Sports Sci Med       Date:  2021-10-01       Impact factor: 2.988

8.  Influence of Yo-Yo IR2 Scores on Internal and External Workloads and Fatigue Responses of Tag Football Players during Tournament Competition.

Authors:  Luke W Hogarth; Brendan J Burkett; Mark R McKean
Journal:  PLoS One       Date:  2015-10-14       Impact factor: 3.240

9.  Monitoring training status with HR measures: do all roads lead to Rome?

Authors:  Martin Buchheit
Journal:  Front Physiol       Date:  2014-02-27       Impact factor: 4.566

Review 10.  Monitoring training load to understand fatigue in athletes.

Authors:  Shona L Halson
Journal:  Sports Med       Date:  2014-11       Impact factor: 11.136

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