Factors affecting perception of effort (session rating of perceived exertion) during rugby league training
The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league. Thirty-two professional rugby league players participated in this study. Training-load (TL) data were collected during an entire season and assessed...
Gespeichert in:
Veröffentlicht in: | International journal of sports physiology and performance 2013-01, Vol.8 (1), p.62-69 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 69 |
---|---|
container_issue | 1 |
container_start_page | 62 |
container_title | International journal of sports physiology and performance |
container_volume | 8 |
creator | Lovell, T W J Sirotic, Anita C Impellizzeri, Franco M Coutts, Aaron J |
description | The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league.
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.
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).
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. |
doi_str_mv | 10.1123/ijspp.8.1.62 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1273388837</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2171137986</sourcerecordid><originalsourceid>FETCH-LOGICAL-c385t-c3d83ed6fbcdfb4e00ff99eac06fe2a21edb884b3f8defe3ef482f3361fdfdf3</originalsourceid><addsrcrecordid>eNpd0d1LwzAQAPAgipvTN58l4MsEV_PRdtmjDKfCwJe9h7S5Gy1dW5NW3H9vuukeJJCEux_HcUfILWcR50I-FaVv20hFPErFGRnzJElmTMzl-emfJiNy5X3JWJzECbskIyElE1yqMSlXJu8a56lBhLwr6i1tweXQdkVT0wYpIDauo1MP3g8hZw4oZA6u-AJL4Rvc4B-o7d2Qdf0229MKzLYH2jlT1CF6TS7QVB5uft8J2axeNsu32frj9X35vJ7lUiVduK2SYFPMcotZDIwhLhZgcpYiCCM42EypOJOoLCBIwFgJlDLlaMOREzI9lm1d89mD7_Su8DlUlamh6b3mYTZSKSXngd7_o2XTuzo0pwWfcy7nC5UG9XhUuWu8d4C6dcXOuL3mTA8r0IcVaKW5TkXgd79F-2wH9oT_Zi5_AP-9hdc</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2171137986</pqid></control><display><type>article</type><title>Factors affecting perception of effort (session rating of perceived exertion) during rugby league training</title><source>MEDLINE</source><source>Journal of physical activity & health</source><creator>Lovell, T W J ; Sirotic, Anita C ; Impellizzeri, Franco M ; Coutts, Aaron J</creator><creatorcontrib>Lovell, T W J ; Sirotic, Anita C ; Impellizzeri, Franco M ; Coutts, Aaron J</creatorcontrib><description>The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league.
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.
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).
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.</description><identifier>ISSN: 1555-0265</identifier><identifier>EISSN: 1555-0273</identifier><identifier>DOI: 10.1123/ijspp.8.1.62</identifier><identifier>PMID: 23302138</identifier><language>eng</language><publisher>United States: Human Kinetics</publisher><subject>Acceleration ; Analysis of Variance ; Football - physiology ; Geographic Information Systems ; Global positioning systems ; GPS ; Heart Rate - physiology ; Humans ; Longitudinal Studies ; Male ; Monitoring, Ambulatory ; Perception ; Physical Education and Training ; Physical Exertion - physiology ; Prospective Studies ; Regression Analysis ; Rugby ; Young Adult</subject><ispartof>International journal of sports physiology and performance, 2013-01, Vol.8 (1), p.62-69</ispartof><rights>Copyright Human Kinetics Jan 2013</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-c3d83ed6fbcdfb4e00ff99eac06fe2a21edb884b3f8defe3ef482f3361fdfdf3</citedby><cites>FETCH-LOGICAL-c385t-c3d83ed6fbcdfb4e00ff99eac06fe2a21edb884b3f8defe3ef482f3361fdfdf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23302138$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lovell, T W J</creatorcontrib><creatorcontrib>Sirotic, Anita C</creatorcontrib><creatorcontrib>Impellizzeri, Franco M</creatorcontrib><creatorcontrib>Coutts, Aaron J</creatorcontrib><title>Factors affecting perception of effort (session rating of perceived exertion) during rugby league training</title><title>International journal of sports physiology and performance</title><addtitle>Int J Sports Physiol Perform</addtitle><description>The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league.
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.
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).
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.</description><subject>Acceleration</subject><subject>Analysis of Variance</subject><subject>Football - physiology</subject><subject>Geographic Information Systems</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Heart Rate - physiology</subject><subject>Humans</subject><subject>Longitudinal Studies</subject><subject>Male</subject><subject>Monitoring, Ambulatory</subject><subject>Perception</subject><subject>Physical Education and Training</subject><subject>Physical Exertion - physiology</subject><subject>Prospective Studies</subject><subject>Regression Analysis</subject><subject>Rugby</subject><subject>Young Adult</subject><issn>1555-0265</issn><issn>1555-0273</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpd0d1LwzAQAPAgipvTN58l4MsEV_PRdtmjDKfCwJe9h7S5Gy1dW5NW3H9vuukeJJCEux_HcUfILWcR50I-FaVv20hFPErFGRnzJElmTMzl-emfJiNy5X3JWJzECbskIyElE1yqMSlXJu8a56lBhLwr6i1tweXQdkVT0wYpIDauo1MP3g8hZw4oZA6u-AJL4Rvc4B-o7d2Qdf0229MKzLYH2jlT1CF6TS7QVB5uft8J2axeNsu32frj9X35vJ7lUiVduK2SYFPMcotZDIwhLhZgcpYiCCM42EypOJOoLCBIwFgJlDLlaMOREzI9lm1d89mD7_Su8DlUlamh6b3mYTZSKSXngd7_o2XTuzo0pwWfcy7nC5UG9XhUuWu8d4C6dcXOuL3mTA8r0IcVaKW5TkXgd79F-2wH9oT_Zi5_AP-9hdc</recordid><startdate>201301</startdate><enddate>201301</enddate><creator>Lovell, T W J</creator><creator>Sirotic, Anita C</creator><creator>Impellizzeri, Franco M</creator><creator>Coutts, Aaron J</creator><general>Human Kinetics</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>NAPCQ</scope><scope>7X8</scope></search><sort><creationdate>201301</creationdate><title>Factors affecting perception of effort (session rating of perceived exertion) during rugby league training</title><author>Lovell, T W J ; Sirotic, Anita C ; Impellizzeri, Franco M ; Coutts, Aaron J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-c3d83ed6fbcdfb4e00ff99eac06fe2a21edb884b3f8defe3ef482f3361fdfdf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Acceleration</topic><topic>Analysis of Variance</topic><topic>Football - physiology</topic><topic>Geographic Information Systems</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Heart Rate - physiology</topic><topic>Humans</topic><topic>Longitudinal Studies</topic><topic>Male</topic><topic>Monitoring, Ambulatory</topic><topic>Perception</topic><topic>Physical Education and Training</topic><topic>Physical Exertion - physiology</topic><topic>Prospective Studies</topic><topic>Regression Analysis</topic><topic>Rugby</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lovell, T W J</creatorcontrib><creatorcontrib>Sirotic, Anita C</creatorcontrib><creatorcontrib>Impellizzeri, Franco M</creatorcontrib><creatorcontrib>Coutts, Aaron J</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>International journal of sports physiology and performance</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lovell, T W J</au><au>Sirotic, Anita C</au><au>Impellizzeri, Franco M</au><au>Coutts, Aaron J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Factors affecting perception of effort (session rating of perceived exertion) during rugby league training</atitle><jtitle>International journal of sports physiology and performance</jtitle><addtitle>Int J Sports Physiol Perform</addtitle><date>2013-01</date><risdate>2013</risdate><volume>8</volume><issue>1</issue><spage>62</spage><epage>69</epage><pages>62-69</pages><issn>1555-0265</issn><eissn>1555-0273</eissn><abstract>The purpose of this study was to examine the validity of session rating of perceived exertion (sRPE) for monitoring training intensity in rugby league.
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.
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).
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.</abstract><cop>United States</cop><pub>Human Kinetics</pub><pmid>23302138</pmid><doi>10.1123/ijspp.8.1.62</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1555-0265 |
ispartof | International journal of sports physiology and performance, 2013-01, Vol.8 (1), p.62-69 |
issn | 1555-0265 1555-0273 |
language | eng |
recordid | cdi_proquest_miscellaneous_1273388837 |
source | MEDLINE; Journal of physical activity & health |
subjects | Acceleration Analysis of Variance Football - physiology Geographic Information Systems Global positioning systems GPS Heart Rate - physiology Humans Longitudinal Studies Male Monitoring, Ambulatory Perception Physical Education and Training Physical Exertion - physiology Prospective Studies Regression Analysis Rugby Young Adult |
title | Factors affecting perception of effort (session rating of perceived exertion) during rugby league training |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-29T10%3A15%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Factors%20affecting%20perception%20of%20effort%20(session%20rating%20of%20perceived%20exertion)%20during%20rugby%20league%20training&rft.jtitle=International%20journal%20of%20sports%20physiology%20and%20performance&rft.au=Lovell,%20T%20W%20J&rft.date=2013-01&rft.volume=8&rft.issue=1&rft.spage=62&rft.epage=69&rft.pages=62-69&rft.issn=1555-0265&rft.eissn=1555-0273&rft_id=info:doi/10.1123/ijspp.8.1.62&rft_dat=%3Cproquest_cross%3E2171137986%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2171137986&rft_id=info:pmid/23302138&rfr_iscdi=true |