Hayes & Quinn’s TRIMP Concurrent Validity for Cycling
PURPOSE:Quantification models aim to accurately reflect the magnitude of the training stress imposed to the athlete, especially in sports with high training volumes, such as road cycling. The aim of this study was to explore the concurrent validity of a new whole-body bioenergetic TRIMP model (Hayes...
Gespeichert in:
Veröffentlicht in: | Journal of science and cycling 2018-06, Vol.7 (1), p.17-23 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 23 |
---|---|
container_issue | 1 |
container_start_page | 17 |
container_title | Journal of science and cycling |
container_volume | 7 |
creator | Moya Ramon, Manuel Javaloyes Torres, Alejandro Sarabia, Jose Manuel |
description | PURPOSE:Quantification models aim to accurately reflect the magnitude of the training stress imposed to the athlete, especially in sports with high training volumes, such as road cycling. The aim of this study was to explore the concurrent validity of a new whole-body bioenergetic TRIMP model (Hayes & Quinn, 2009) correlating the obtained training load scores in road cycling with other commonly used models (the Banister TRIMP, the sRPE model and Training Stress Score (TSS)). METHOD:After three weeks of familiarization with procedures and the performed test to determine VO2max, critical power (Pcrit), anaerobic work capacity (AWC) and Maximal Power Output (Pmax), 12 well-trained road cyclists performed 8 weeks of individual training to record their individual training data (duration, heart rate, power output and rate of perceived effort (RPE)). Different Pearson’s correlation was performed to assess the relationship between models and the changes in fitness. RESULTS: A very large correlation was found between Hayes & Quinn’s TRIMP and RPE session (r = 0.90; p < 0.001) and TSS (r = 0.88; p < 0.01) and a moderate correlation was found with Banister’s TRIMP (r = 0.64; p < 0.05). No significant correlation was found between changes in fitness and Hayes & Quinn’s TRIMP. CONCLUSION:According to these findings, Hayes & Quinn´s TRIMPis a promising mathematical model based on an individual´s bioenergetic profile that could be used to quantify training load in road cycling. This research increases our knowledge about training load models that use power output to measure intensity. |
doi_str_mv | 10.28985/180130.jsc.04 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2071273580</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2071273580</sourcerecordid><originalsourceid>FETCH-LOGICAL-c1120-5cdd2112d9829d1f0db73830ae589a62af7f229eb24900c85969ad6dbab9d6f53</originalsourceid><addsrcrecordid>eNpNkMtKxDAYhYMoOIyzdR0Q3LX-SZomWUpRZ2DEC6PbkOYiLWM7JtNFd76Gr-eTWBwXrs63OJwDH0LnBHIqleRXRAJhkLfJ5lAcoRmlvMgEcHb8j0_RIqUWAAhhgnM5Q2JpRp_wJX4amq77_vxKePO8un_EVd_ZIUbf7fGr2Tau2Y849BFXo9023dsZOglmm_ziL-fo5fZmUy2z9cPdqrpeZ5YQChm3ztGJnJJUORLA1YJJBsZzqUxJTRCBUuVrWigAK7kqlXGlq02tXBk4m6OLw-4u9h-DT3vd9kPspktNQRAqGJcwtfJDy8Y-peiD3sXm3cRRE9C_fvTBj578aCjYD4ooVxI</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2071273580</pqid></control><display><type>article</type><title>Hayes & Quinn’s TRIMP Concurrent Validity for Cycling</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><creator>Moya Ramon, Manuel ; Javaloyes Torres, Alejandro ; Sarabia, Jose Manuel</creator><creatorcontrib>Moya Ramon, Manuel ; Javaloyes Torres, Alejandro ; Sarabia, Jose Manuel</creatorcontrib><description><![CDATA[PURPOSE:Quantification models aim to accurately reflect the magnitude of the training stress imposed to the athlete, especially in sports with high training volumes, such as road cycling. The aim of this study was to explore the concurrent validity of a new whole-body bioenergetic TRIMP model (Hayes & Quinn, 2009) correlating the obtained training load scores in road cycling with other commonly used models (the Banister TRIMP, the sRPE model and Training Stress Score (TSS)). METHOD:After three weeks of familiarization with procedures and the performed test to determine VO2max, critical power (Pcrit), anaerobic work capacity (AWC) and Maximal Power Output (Pmax), 12 well-trained road cyclists performed 8 weeks of individual training to record their individual training data (duration, heart rate, power output and rate of perceived effort (RPE)). Different Pearson’s correlation was performed to assess the relationship between models and the changes in fitness. RESULTS: A very large correlation was found between Hayes & Quinn’s TRIMP and RPE session (r = 0.90; p < 0.001) and TSS (r = 0.88; p < 0.01) and a moderate correlation was found with Banister’s TRIMP (r = 0.64; p < 0.05). No significant correlation was found between changes in fitness and Hayes & Quinn’s TRIMP. CONCLUSION:According to these findings, Hayes & Quinn´s TRIMPis a promising mathematical model based on an individual´s bioenergetic profile that could be used to quantify training load in road cycling. This research increases our knowledge about training load models that use power output to measure intensity.]]></description><identifier>ISSN: 2254-7053</identifier><identifier>EISSN: 2254-7053</identifier><identifier>DOI: 10.28985/180130.jsc.04</identifier><language>eng</language><publisher>Pulianas: Cycling Research Center</publisher><subject>Bioenergetics ; Cycles ; Fitness ; Heart rate ; Oxygen consumption ; Training ; Work capacity</subject><ispartof>Journal of science and cycling, 2018-06, Vol.7 (1), p.17-23</ispartof><rights>Copyright Cycling Research Center 2018</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c1120-5cdd2112d9829d1f0db73830ae589a62af7f229eb24900c85969ad6dbab9d6f53</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27923,27924</link.rule.ids></links><search><creatorcontrib>Moya Ramon, Manuel</creatorcontrib><creatorcontrib>Javaloyes Torres, Alejandro</creatorcontrib><creatorcontrib>Sarabia, Jose Manuel</creatorcontrib><title>Hayes & Quinn’s TRIMP Concurrent Validity for Cycling</title><title>Journal of science and cycling</title><description><![CDATA[PURPOSE:Quantification models aim to accurately reflect the magnitude of the training stress imposed to the athlete, especially in sports with high training volumes, such as road cycling. The aim of this study was to explore the concurrent validity of a new whole-body bioenergetic TRIMP model (Hayes & Quinn, 2009) correlating the obtained training load scores in road cycling with other commonly used models (the Banister TRIMP, the sRPE model and Training Stress Score (TSS)). METHOD:After three weeks of familiarization with procedures and the performed test to determine VO2max, critical power (Pcrit), anaerobic work capacity (AWC) and Maximal Power Output (Pmax), 12 well-trained road cyclists performed 8 weeks of individual training to record their individual training data (duration, heart rate, power output and rate of perceived effort (RPE)). Different Pearson’s correlation was performed to assess the relationship between models and the changes in fitness. RESULTS: A very large correlation was found between Hayes & Quinn’s TRIMP and RPE session (r = 0.90; p < 0.001) and TSS (r = 0.88; p < 0.01) and a moderate correlation was found with Banister’s TRIMP (r = 0.64; p < 0.05). No significant correlation was found between changes in fitness and Hayes & Quinn’s TRIMP. CONCLUSION:According to these findings, Hayes & Quinn´s TRIMPis a promising mathematical model based on an individual´s bioenergetic profile that could be used to quantify training load in road cycling. This research increases our knowledge about training load models that use power output to measure intensity.]]></description><subject>Bioenergetics</subject><subject>Cycles</subject><subject>Fitness</subject><subject>Heart rate</subject><subject>Oxygen consumption</subject><subject>Training</subject><subject>Work capacity</subject><issn>2254-7053</issn><issn>2254-7053</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNkMtKxDAYhYMoOIyzdR0Q3LX-SZomWUpRZ2DEC6PbkOYiLWM7JtNFd76Gr-eTWBwXrs63OJwDH0LnBHIqleRXRAJhkLfJ5lAcoRmlvMgEcHb8j0_RIqUWAAhhgnM5Q2JpRp_wJX4amq77_vxKePO8un_EVd_ZIUbf7fGr2Tau2Y849BFXo9023dsZOglmm_ziL-fo5fZmUy2z9cPdqrpeZ5YQChm3ztGJnJJUORLA1YJJBsZzqUxJTRCBUuVrWigAK7kqlXGlq02tXBk4m6OLw-4u9h-DT3vd9kPspktNQRAqGJcwtfJDy8Y-peiD3sXm3cRRE9C_fvTBj578aCjYD4ooVxI</recordid><startdate>20180630</startdate><enddate>20180630</enddate><creator>Moya Ramon, Manuel</creator><creator>Javaloyes Torres, Alejandro</creator><creator>Sarabia, Jose Manuel</creator><general>Cycling Research Center</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TS</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope></search><sort><creationdate>20180630</creationdate><title>Hayes & Quinn’s TRIMP Concurrent Validity for Cycling</title><author>Moya Ramon, Manuel ; Javaloyes Torres, Alejandro ; Sarabia, Jose Manuel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1120-5cdd2112d9829d1f0db73830ae589a62af7f229eb24900c85969ad6dbab9d6f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Bioenergetics</topic><topic>Cycles</topic><topic>Fitness</topic><topic>Heart rate</topic><topic>Oxygen consumption</topic><topic>Training</topic><topic>Work capacity</topic><toplevel>online_resources</toplevel><creatorcontrib>Moya Ramon, Manuel</creatorcontrib><creatorcontrib>Javaloyes Torres, Alejandro</creatorcontrib><creatorcontrib>Sarabia, Jose Manuel</creatorcontrib><collection>CrossRef</collection><collection>Physical Education Index</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Latin America & Iberia Database</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><jtitle>Journal of science and cycling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Moya Ramon, Manuel</au><au>Javaloyes Torres, Alejandro</au><au>Sarabia, Jose Manuel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hayes & Quinn’s TRIMP Concurrent Validity for Cycling</atitle><jtitle>Journal of science and cycling</jtitle><date>2018-06-30</date><risdate>2018</risdate><volume>7</volume><issue>1</issue><spage>17</spage><epage>23</epage><pages>17-23</pages><issn>2254-7053</issn><eissn>2254-7053</eissn><abstract><![CDATA[PURPOSE:Quantification models aim to accurately reflect the magnitude of the training stress imposed to the athlete, especially in sports with high training volumes, such as road cycling. The aim of this study was to explore the concurrent validity of a new whole-body bioenergetic TRIMP model (Hayes & Quinn, 2009) correlating the obtained training load scores in road cycling with other commonly used models (the Banister TRIMP, the sRPE model and Training Stress Score (TSS)). METHOD:After three weeks of familiarization with procedures and the performed test to determine VO2max, critical power (Pcrit), anaerobic work capacity (AWC) and Maximal Power Output (Pmax), 12 well-trained road cyclists performed 8 weeks of individual training to record their individual training data (duration, heart rate, power output and rate of perceived effort (RPE)). Different Pearson’s correlation was performed to assess the relationship between models and the changes in fitness. RESULTS: A very large correlation was found between Hayes & Quinn’s TRIMP and RPE session (r = 0.90; p < 0.001) and TSS (r = 0.88; p < 0.01) and a moderate correlation was found with Banister’s TRIMP (r = 0.64; p < 0.05). No significant correlation was found between changes in fitness and Hayes & Quinn’s TRIMP. CONCLUSION:According to these findings, Hayes & Quinn´s TRIMPis a promising mathematical model based on an individual´s bioenergetic profile that could be used to quantify training load in road cycling. This research increases our knowledge about training load models that use power output to measure intensity.]]></abstract><cop>Pulianas</cop><pub>Cycling Research Center</pub><doi>10.28985/180130.jsc.04</doi><tpages>7</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2254-7053 |
ispartof | Journal of science and cycling, 2018-06, Vol.7 (1), p.17-23 |
issn | 2254-7053 2254-7053 |
language | eng |
recordid | cdi_proquest_journals_2071273580 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Bioenergetics Cycles Fitness Heart rate Oxygen consumption Training Work capacity |
title | Hayes & Quinn’s TRIMP Concurrent Validity for Cycling |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-12T01%3A47%3A59IST&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=Hayes%20&%20Quinn%E2%80%99s%20TRIMP%20Concurrent%20Validity%20for%20Cycling&rft.jtitle=Journal%20of%20science%20and%20cycling&rft.au=Moya%20Ramon,%20Manuel&rft.date=2018-06-30&rft.volume=7&rft.issue=1&rft.spage=17&rft.epage=23&rft.pages=17-23&rft.issn=2254-7053&rft.eissn=2254-7053&rft_id=info:doi/10.28985/180130.jsc.04&rft_dat=%3Cproquest_cross%3E2071273580%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=2071273580&rft_id=info:pmid/&rfr_iscdi=true |