Comparison of different models of Wʹ balance in high-level road cycling races
This study aimed to compare different models of Wʹ balance (Wʹ bal ) during road cycling races. These models allow tracking of the depletion and reconstitution of energy reserves during intermittent exercises. Fifteen high-level cyclists shared a year of data, including the power output and GPS reco...
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Veröffentlicht in: | International journal of performance analysis in sport 2022-09, Vol.22 (5), p.656-669 |
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creator | Millour, Geoffrey Lajoie, Claude Domingue, Frédéric |
description | This study aimed to compare different models of Wʹ balance (Wʹ
bal
) during road cycling races. These models allow tracking of the depletion and reconstitution of energy reserves during intermittent exercises. Fifteen high-level cyclists shared a year of data, including the power output and GPS records. They then selected a race during which they were in very good condition, and where they reached a maximum level of exhaustion in the final phase. Based on their seasonal data, their critical power and Wʹ were calculated and incorporated into the integral and differential models of Skiba and Bartram model. Wʹ
bal
was calculated throughout the races and normalised to Wʹ. The integral, differential, and Bartram models predicted a mean Wʹ
bal
of 41 ± 27%, 67 ± 17%, and 82 ± 9%, a minimum Wʹ
bal
of −21 ± 28%, −3 ± 22%, and 22 ± 24%, and a Wʹ
bal
at the identified point of exhaustion of 0 ± 30%, 21 ± 28%, and 42 ± 23% (all significantly different, p < 0.01). Given the large differences between the models and the high inter-individual variability of Wʹ
bal
at the participant-identified point of exhaustion, this study shows that the models are not interchangeable and that the values of Wʹ
bal
should be considered with caution when analysing races. |
doi_str_mv | 10.1080/24748668.2023.2176100 |
format | Article |
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bal
) during road cycling races. These models allow tracking of the depletion and reconstitution of energy reserves during intermittent exercises. Fifteen high-level cyclists shared a year of data, including the power output and GPS records. They then selected a race during which they were in very good condition, and where they reached a maximum level of exhaustion in the final phase. Based on their seasonal data, their critical power and Wʹ were calculated and incorporated into the integral and differential models of Skiba and Bartram model. Wʹ
bal
was calculated throughout the races and normalised to Wʹ. The integral, differential, and Bartram models predicted a mean Wʹ
bal
of 41 ± 27%, 67 ± 17%, and 82 ± 9%, a minimum Wʹ
bal
of −21 ± 28%, −3 ± 22%, and 22 ± 24%, and a Wʹ
bal
at the identified point of exhaustion of 0 ± 30%, 21 ± 28%, and 42 ± 23% (all significantly different, p < 0.01). Given the large differences between the models and the high inter-individual variability of Wʹ
bal
at the participant-identified point of exhaustion, this study shows that the models are not interchangeable and that the values of Wʹ
bal
should be considered with caution when analysing races.</description><identifier>ISSN: 2474-8668</identifier><identifier>EISSN: 1474-8185</identifier><identifier>DOI: 10.1080/24748668.2023.2176100</identifier><language>eng</language><publisher>Routledge</publisher><subject>competition ; Critical power ; energetic balance ; performance prediction</subject><ispartof>International journal of performance analysis in sport, 2022-09, Vol.22 (5), p.656-669</ispartof><rights>2023 Cardiff Metropolitan University 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c173t-8851a17d275206845456205175ba23ae7e7a16a3d62642e424165c852fd694973</cites><orcidid>0000-0003-0926-0661</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Millour, Geoffrey</creatorcontrib><creatorcontrib>Lajoie, Claude</creatorcontrib><creatorcontrib>Domingue, Frédéric</creatorcontrib><title>Comparison of different models of Wʹ balance in high-level road cycling races</title><title>International journal of performance analysis in sport</title><description>This study aimed to compare different models of Wʹ balance (Wʹ
bal
) during road cycling races. These models allow tracking of the depletion and reconstitution of energy reserves during intermittent exercises. Fifteen high-level cyclists shared a year of data, including the power output and GPS records. They then selected a race during which they were in very good condition, and where they reached a maximum level of exhaustion in the final phase. Based on their seasonal data, their critical power and Wʹ were calculated and incorporated into the integral and differential models of Skiba and Bartram model. Wʹ
bal
was calculated throughout the races and normalised to Wʹ. The integral, differential, and Bartram models predicted a mean Wʹ
bal
of 41 ± 27%, 67 ± 17%, and 82 ± 9%, a minimum Wʹ
bal
of −21 ± 28%, −3 ± 22%, and 22 ± 24%, and a Wʹ
bal
at the identified point of exhaustion of 0 ± 30%, 21 ± 28%, and 42 ± 23% (all significantly different, p < 0.01). Given the large differences between the models and the high inter-individual variability of Wʹ
bal
at the participant-identified point of exhaustion, this study shows that the models are not interchangeable and that the values of Wʹ
bal
should be considered with caution when analysing races.</description><subject>competition</subject><subject>Critical power</subject><subject>energetic balance</subject><subject>performance prediction</subject><issn>2474-8668</issn><issn>1474-8185</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kF1KAzEUhYMoWKtLELKBqUkmf31Tin9Q9EXxMdzmp41kJiUpSpfmFlyVU1tffbqXwz2Hez6ELimZUKLJFeOKayn1hBHWThhVkhJyhEZ00BtNtThGI_a7D0en6KzWd0KYEkqP0NMsd2soseYe54BdDMEX329wl51Pdae9fX_hBSTorcexx6u4XDXJf_iESwaH7dam2C9xAevrOToJkKq_OMwxer27fZk9NPPn-8fZzbyxVLWbRmtBgSo3PMGI1FxwIRkRVIkFsBa88gqohNZJJjnznHEqhdWCBSenfKraMRL7XFtyrcUHsy6xg7I1lJgdFPMHxeygmAOUwXe998U-5NLBZy7JmQ1sUy6hDBVjNe3_ET8gH2e0</recordid><startdate>20220903</startdate><enddate>20220903</enddate><creator>Millour, Geoffrey</creator><creator>Lajoie, Claude</creator><creator>Domingue, Frédéric</creator><general>Routledge</general><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0003-0926-0661</orcidid></search><sort><creationdate>20220903</creationdate><title>Comparison of different models of Wʹ balance in high-level road cycling races</title><author>Millour, Geoffrey ; Lajoie, Claude ; Domingue, Frédéric</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c173t-8851a17d275206845456205175ba23ae7e7a16a3d62642e424165c852fd694973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>competition</topic><topic>Critical power</topic><topic>energetic balance</topic><topic>performance prediction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Millour, Geoffrey</creatorcontrib><creatorcontrib>Lajoie, Claude</creatorcontrib><creatorcontrib>Domingue, Frédéric</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of performance analysis in sport</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Millour, Geoffrey</au><au>Lajoie, Claude</au><au>Domingue, Frédéric</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of different models of Wʹ balance in high-level road cycling races</atitle><jtitle>International journal of performance analysis in sport</jtitle><date>2022-09-03</date><risdate>2022</risdate><volume>22</volume><issue>5</issue><spage>656</spage><epage>669</epage><pages>656-669</pages><issn>2474-8668</issn><eissn>1474-8185</eissn><abstract>This study aimed to compare different models of Wʹ balance (Wʹ
bal
) during road cycling races. These models allow tracking of the depletion and reconstitution of energy reserves during intermittent exercises. Fifteen high-level cyclists shared a year of data, including the power output and GPS records. They then selected a race during which they were in very good condition, and where they reached a maximum level of exhaustion in the final phase. Based on their seasonal data, their critical power and Wʹ were calculated and incorporated into the integral and differential models of Skiba and Bartram model. Wʹ
bal
was calculated throughout the races and normalised to Wʹ. The integral, differential, and Bartram models predicted a mean Wʹ
bal
of 41 ± 27%, 67 ± 17%, and 82 ± 9%, a minimum Wʹ
bal
of −21 ± 28%, −3 ± 22%, and 22 ± 24%, and a Wʹ
bal
at the identified point of exhaustion of 0 ± 30%, 21 ± 28%, and 42 ± 23% (all significantly different, p < 0.01). Given the large differences between the models and the high inter-individual variability of Wʹ
bal
at the participant-identified point of exhaustion, this study shows that the models are not interchangeable and that the values of Wʹ
bal
should be considered with caution when analysing races.</abstract><pub>Routledge</pub><doi>10.1080/24748668.2023.2176100</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-0926-0661</orcidid></addata></record> |
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issn | 2474-8668 1474-8185 |
language | eng |
recordid | cdi_crossref_primary_10_1080_24748668_2023_2176100 |
source | Alma/SFX Local Collection |
subjects | competition Critical power energetic balance performance prediction |
title | Comparison of different models of Wʹ balance in high-level road cycling races |
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