Relationship between pretraining subjective wellness measures, player load, and rating-of-perceived-exertion training load in American college football

Govus, AD; Coutts, A; Duffield, R; Murray, A; Fullagar, H

Relationship between pretraining subjective wellness measures, player load, and rating-of-perceived-exertion training load in American college football

Govus, AD Coutts, A

Duffield, R

Murray, A Fullagar, H

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Publication Type:: Journal Article
Citation:: International Journal of Sports Physiology and Performance, 2018, 13 (1), pp. 95 - 101
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Govus, AD	en_US
dc.contributor.author	Coutts, A https://orcid.org/0000-0002-1782-7691	en_US
dc.contributor.author	Duffield, R https://orcid.org/0000-0002-5641-1314	en_US
dc.contributor.author	Murray, A	en_US
dc.contributor.author	Fullagar, H https://orcid.org/0000-0001-9426-5373	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	International Journal of Sports Physiology and Performance, 2018, 13 (1), pp. 95 - 101	en_US
dc.identifier.issn	1555-0265	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129751
dc.description.abstract	© 2018 Human Kinetics, Inc. Context: The relationship between pretraining subjective wellness and external and internal training load in American college football is unclear. Purpose: To examine the relationship of pretraining subjective wellness (sleep quality, muscle soreness, energy, wellness Z score) with player load and session rating of perceived exertion (s-RPE-TL) in American college football players. Methods: Subjective wellness (measured using 5-point, Likert-scale questionnaires), external load (derived from GPS and accelerometry), and s-RPE-TL were collected during 3 typical training sessions per week for the second half of an American college football season (8 wk). The relationship of pretraining subjective wellness with player load and s-RPE training load was analyzed using linear mixed models with a random intercept for athlete and a random slope for training session. Standardized mean differences (SMDs) denote the effect magnitude. Results: A 1-unit increase in wellness Z score and energy was associated with trivial 2.3% (90% confidence interval [CI] 0.5, 4.2; SMD 0.12) and 2.6% (90% CI 0.1, 5.2; SMD 0.13) increases in player load, respectively. A 1-unit increase in muscle soreness (players felt less sore) corresponded to a trivial 4.4% (90% CI ?8.4, ?0.3; SMD ?0.05) decrease in s-RPE training load. Conclusion: Measuring pretraining subjective wellness may provide information about players’ capacity to perform in a training session and could be a key determinant of their response to the imposed training demands American college football. Hence, monitoring subjective wellness may aid in the individualization of training prescription in American college football players.	en_US
dc.relation.ispartof	International Journal of Sports Physiology and Performance	en_US
dc.relation.isbasedon	10.1123/ijspp.2016-0714	en_US
dc.subject.classification	Sport Sciences	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Retrospective Studies	en_US
dc.subject.mesh	Perception	en_US
dc.subject.mesh	Sleep	en_US
dc.subject.mesh	Health Status	en_US
dc.subject.mesh	Football	en_US
dc.subject.mesh	Physical Fitness	en_US
dc.subject.mesh	Physical Exertion	en_US
dc.subject.mesh	Myalgia	en_US
dc.subject.mesh	Physical Conditioning, Human	en_US
dc.subject.mesh	Surveys and Questionnaires	en_US
dc.title	Relationship between pretraining subjective wellness measures, player load, and rating-of-perceived-exertion training load in American college football	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	13	en_US
utslib.for	1106 Human Movement and Sports Sciences	en_US
utslib.for	1116 Medical Physiology	en_US
utslib.for	1701 Psychology	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/Strength - CHSP - Health Services and Practice
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
utslib.copyright.status	closed_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	13	en_US

Abstract:

© 2018 Human Kinetics, Inc. Context: The relationship between pretraining subjective wellness and external and internal training load in American college football is unclear. Purpose: To examine the relationship of pretraining subjective wellness (sleep quality, muscle soreness, energy, wellness Z score) with player load and session rating of perceived exertion (s-RPE-TL) in American college football players. Methods: Subjective wellness (measured using 5-point, Likert-scale questionnaires), external load (derived from GPS and accelerometry), and s-RPE-TL were collected during 3 typical training sessions per week for the second half of an American college football season (8 wk). The relationship of pretraining subjective wellness with player load and s-RPE training load was analyzed using linear mixed models with a random intercept for athlete and a random slope for training session. Standardized mean differences (SMDs) denote the effect magnitude. Results: A 1-unit increase in wellness Z score and energy was associated with trivial 2.3% (90% confidence interval [CI] 0.5, 4.2; SMD 0.12) and 2.6% (90% CI 0.1, 5.2; SMD 0.13) increases in player load, respectively. A 1-unit increase in muscle soreness (players felt less sore) corresponded to a trivial 4.4% (90% CI ?8.4, ?0.3; SMD ?0.05) decrease in s-RPE training load. Conclusion: Measuring pretraining subjective wellness may provide information about players’ capacity to perform in a training session and could be a key determinant of their response to the imposed training demands American college football. Hence, monitoring subjective wellness may aid in the individualization of training prescription in American college football players.

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http://hdl.handle.net/10453/129751