Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players

Buchheit, M; Racinais, S; Bilsborough, JC; Bourdon, PC; Voss, SC; Hocking, J; Cordy, J; Mendez-Villanueva, A; Coutts, AJ

Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players

Buchheit, M Racinais, S Bilsborough, JC Bourdon, PC Voss, SC Hocking, J Cordy, J Mendez-Villanueva, A Coutts, AJ

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Publication Type:: Journal Article
Citation:: Journal of Science and Medicine in Sport, 2013, 16 (6), pp. 550 - 555
Issue Date:: 2013-11-01

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Field	Value	Language
dc.contributor.author	Buchheit, M	en_US
dc.contributor.author	Racinais, S	en_US
dc.contributor.author	Bilsborough, JC	en_US
dc.contributor.author	Bourdon, PC	en_US
dc.contributor.author	Voss, SC	en_US
dc.contributor.author	Hocking, J	en_US
dc.contributor.author	Cordy, J	en_US
dc.contributor.author	Mendez-Villanueva, A	en_US
dc.contributor.author	Coutts, AJ https://orcid.org/0000-0002-1782-7691	en_US
dc.date.available	2012-12-01	en_US
dc.date.issued	2013-11-01	en_US
dc.identifier.citation	Journal of Science and Medicine in Sport, 2013, 16 (6), pp. 550 - 555	en_US
dc.identifier.issn	1440-2440	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26757
dc.description.abstract	Objectives: To examine the usefulness of selected physiological and perceptual measures to monitor fitness, fatigue and running performance during a pre-season, 2-week training camp in eighteen professional Australian Rules Football players (21.9. ±. 2.0 years). Design: Observational. Methods: Training load, perceived ratings of wellness (e.g. fatigue, sleep quality) and salivary cortisol were collected daily. Submaximal exercise heart rate (HRex) and a vagal-related heart rate variability index (LnSD1) were also collected at the start of each training session. Yo-Yo Intermittent Recovery level 2 test (Yo-YoIR2, assessed pre-, mid- and post-camp, temperate conditions) and high-speed running distance during standardized drills (HSR, >14.4kmh-1, 4 times throughout, outdoor) were used as performance measures. Results: There were significant (P<0.001 for all) day-to-day variations in training load (coefficient of variation, CV: 66%), wellness measures (6-18%), HRex (3.3%), LnSD1 (19.0%), but not cortisol (20.0%, P=0.60). While the overall wellness (+0.06, 90% CL (-0.14; 0.02)AUday-1) did not change substantially throughout the camp, HRex decreased (-0.51 (-0.58; -0.45)%day-1), and cortisol (+0.31 (0.06; 0.57)nmolL-1day-1), LnSD1 (+0.1 (0.04; 0.06)msday-1), Yo-YoIR2 performance (+23.7 (20.8; 26.6)mday-1, P<0.001), and HSR (+4.1 (1.5; 6.6)mday-1, P<0.001) increased. Day-to-day δHRex (r=0.80, 90% CL (0.75; 0.85)), δLnSD1 (0.51 (r=0.40; 0.62)) and all wellness measures (0.28 (-0.39; -0.17)<r<0.25 (0.14; 0.36)) were related to δtraining load. There was however no clear relationship between δcortisol and δtraining load. δYo-YoIR2 was correlated with δHRex (r=0.88 (0.84; 0.92)), δLnSD1 (r=0.78 (0.67; 0.89)), δwellness (r=0.58 (0.41; 0.75), but not δcortisol. δHSR was correlated with δHRex (r=-0.27 (-0.48; -0.06)) and δwellness (r=0.65 (0.49; 0.81)), but neither with δLnSD1 nor δcortisol. Conclusions: Training load, HRex and wellness measures are the best simple measures for monitoring training responses to an intensified training camp; cortisol post-exercise and LnSD1 did not show practical efficacy here. © 2012 Sports Medicine Australia.	en_US
dc.relation.ispartof	Journal of Science and Medicine in Sport	en_US
dc.relation.isbasedon	10.1016/j.jsams.2012.12.003	en_US
dc.subject.classification	Sport Sciences	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Fatigue	en_US
dc.subject.mesh	Psychometrics	en_US
dc.subject.mesh	Running	en_US
dc.subject.mesh	Football	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Young Adult	en_US
dc.subject.mesh	Physical Conditioning, Human	en_US
dc.title	Monitoring fitness, fatigue and running performance during a pre-season training camp in elite football players	en_US
dc.type	Journal Article
utslib.citation.volume	6	en_US
utslib.citation.volume	16	en_US
utslib.for	1106 Human Movement and Sports Sciences	en_US
utslib.for	1116 Medical Physiology	en_US
utslib.for	1117 Public Health and Health Services	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/Sports and Exercise Science
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.issue	6	en_US
pubs.publication-status	Published	en_US
pubs.volume	16	en_US

Abstract:

Objectives: To examine the usefulness of selected physiological and perceptual measures to monitor fitness, fatigue and running performance during a pre-season, 2-week training camp in eighteen professional Australian Rules Football players (21.9. ±. 2.0 years). Design: Observational. Methods: Training load, perceived ratings of wellness (e.g. fatigue, sleep quality) and salivary cortisol were collected daily. Submaximal exercise heart rate (HRex) and a vagal-related heart rate variability index (LnSD1) were also collected at the start of each training session. Yo-Yo Intermittent Recovery level 2 test (Yo-YoIR2, assessed pre-, mid- and post-camp, temperate conditions) and high-speed running distance during standardized drills (HSR, >14.4kmh-1, 4 times throughout, outdoor) were used as performance measures. Results: There were significant (P<0.001 for all) day-to-day variations in training load (coefficient of variation, CV: 66%), wellness measures (6-18%), HRex (3.3%), LnSD1 (19.0%), but not cortisol (20.0%, P=0.60). While the overall wellness (+0.06, 90% CL (-0.14; 0.02)AUday-1) did not change substantially throughout the camp, HRex decreased (-0.51 (-0.58; -0.45)%day-1), and cortisol (+0.31 (0.06; 0.57)nmolL-1day-1), LnSD1 (+0.1 (0.04; 0.06)msday-1), Yo-YoIR2 performance (+23.7 (20.8; 26.6)mday-1, P<0.001), and HSR (+4.1 (1.5; 6.6)mday-1, P<0.001) increased. Day-to-day δHRex (r=0.80, 90% CL (0.75; 0.85)), δLnSD1 (0.51 (r=0.40; 0.62)) and all wellness measures (0.28 (-0.39; -0.17)

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http://hdl.handle.net/10453/26757