Factors affecting perception of effort (session rating of perceived exertion) during rugby league training

Lovell, TWJ; Sirotic, AC; Impellizzeri, FM; Coutts, AJ

Factors affecting perception of effort (session rating of perceived exertion) during rugby league training

Lovell, TWJ

Sirotic, AC Impellizzeri, FM

Coutts, AJ

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Publication Type:: Journal Article
Citation:: International Journal of Sports Physiology and Performance, 2013, 8 (1), pp. 62 - 69
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Lovell, TWJ https://orcid.org/0000-0003-0151-4524	en_US
dc.contributor.author	Sirotic, AC	en_US
dc.contributor.author	Impellizzeri, FM https://orcid.org/0000-0002-1703-2573	en_US
dc.contributor.author	Coutts, AJ https://orcid.org/0000-0002-1782-7691	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	International Journal of Sports Physiology and Performance, 2013, 8 (1), pp. 62 - 69	en_US
dc.identifier.issn	1555-0265	en_US
dc.identifier.uri	http://hdl.handle.net/10453/27827
dc.description.abstract	Purpose: The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league. Methods: Thirty-two professional rugby league players participated in this study. Training-load (TL) data were collected during an entire season and assessed via microtechnology (heart-rate [HR] monitors, global positioning systems [GPS], and accelerometers) and sRPE. Within-individual correlation analysis was used to determine relationships between sRPE and various other measures of training intensity and load. Stepwise multiple regressions were used to determine a predictive equation to estimate sRPE during rugby league training. Results: There were significant within-individual correlations between sRPE and various other internal and external measures of intensity and load. The stepwise multiple-regression analysis also revealed that 62.4% of the adjusted variance in sRPE-TL could be explained by TL measures of distance, impacts, body load, and training impulse (y = 37.21 + 0.93 distance - 0.39 impacts + 0.18 body load + 0.03 training impulse). Furthermore, 35.2% of the adjusted variance in sRPE could be explained by exercise-intensity measures of percentage of peak HR (%HRpeak), impacts/min, m/min, and body load/min (y = -0.01 + 0.37%HRpeak + 0.10 impacts/min + 0.17 m/min + 0.09 body load/min). Conclusion: A combination of internal and external TL factors predicts sRPE in rugby league training better than any individual measures alone. These findings provide new evidence to support the use of sRPE as a global measure of exercise intensity in rugby league training. © 2013 Human Kinetics, Inc.	en_US
dc.relation.ispartof	International Journal of Sports Physiology and Performance	en_US
dc.relation.isbasedon	10.1123/ijspp.8.1.62	en_US
dc.subject.classification	Sport Sciences	en_US
dc.subject.mesh	Humans	en_US
dc.subject.mesh	Monitoring, Ambulatory	en_US
dc.subject.mesh	Analysis of Variance	en_US
dc.subject.mesh	Regression Analysis	en_US
dc.subject.mesh	Longitudinal Studies	en_US
dc.subject.mesh	Prospective Studies	en_US
dc.subject.mesh	Perception	en_US
dc.subject.mesh	Heart Rate	en_US
dc.subject.mesh	Acceleration	en_US
dc.subject.mesh	Physical Education and Training	en_US
dc.subject.mesh	Football	en_US
dc.subject.mesh	Geographic Information Systems	en_US
dc.subject.mesh	Male	en_US
dc.subject.mesh	Physical Exertion	en_US
dc.subject.mesh	Young Adult	en_US
dc.title	Factors affecting perception of effort (session rating of perceived exertion) during rugby league training	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	8	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/Faculty of Health/Sports and Exercise Science
pubs.organisational-group	/University of Technology Sydney/Provost
pubs.organisational-group	/University of Technology Sydney/Provost/Jumbunna
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	8	en_US

Abstract:

Purpose: The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league. Methods: Thirty-two professional rugby league players participated in this study. Training-load (TL) data were collected during an entire season and assessed via microtechnology (heart-rate [HR] monitors, global positioning systems [GPS], and accelerometers) and sRPE. Within-individual correlation analysis was used to determine relationships between sRPE and various other measures of training intensity and load. Stepwise multiple regressions were used to determine a predictive equation to estimate sRPE during rugby league training. Results: There were significant within-individual correlations between sRPE and various other internal and external measures of intensity and load. The stepwise multiple-regression analysis also revealed that 62.4% of the adjusted variance in sRPE-TL could be explained by TL measures of distance, impacts, body load, and training impulse (y = 37.21 + 0.93 distance - 0.39 impacts + 0.18 body load + 0.03 training impulse). Furthermore, 35.2% of the adjusted variance in sRPE could be explained by exercise-intensity measures of percentage of peak HR (%HRpeak), impacts/min, m/min, and body load/min (y = -0.01 + 0.37%HRpeak + 0.10 impacts/min + 0.17 m/min + 0.09 body load/min). Conclusion: A combination of internal and external TL factors predicts sRPE in rugby league training better than any individual measures alone. These findings provide new evidence to support the use of sRPE as a global measure of exercise intensity in rugby league training. © 2013 Human Kinetics, Inc.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/27827