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Power profiling and the power-duration relationship in cycling: a narrative review

Emerging trends in technological innovations, data analysis and practical applications have facilitated the measurement of cycling power output in the field, leading to improvements in training prescription, performance testing and race analysis. This review aimed to critically reflect on power prof...

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Autores principales: Leo, Peter, Spragg, James, Podlogar, Tim, Lawley, Justin S., Mujika, Iñigo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783871/
https://www.ncbi.nlm.nih.gov/pubmed/34708276
http://dx.doi.org/10.1007/s00421-021-04833-y
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author Leo, Peter
Spragg, James
Podlogar, Tim
Lawley, Justin S.
Mujika, Iñigo
author_facet Leo, Peter
Spragg, James
Podlogar, Tim
Lawley, Justin S.
Mujika, Iñigo
author_sort Leo, Peter
collection PubMed
description Emerging trends in technological innovations, data analysis and practical applications have facilitated the measurement of cycling power output in the field, leading to improvements in training prescription, performance testing and race analysis. This review aimed to critically reflect on power profiling strategies in association with the power-duration relationship in cycling, to provide an updated view for applied researchers and practitioners. The authors elaborate on measuring power output followed by an outline of the methodological approaches to power profiling. Moreover, the deriving a power-duration relationship section presents existing concepts of power-duration models alongside exercise intensity domains. Combining laboratory and field testing discusses how traditional laboratory and field testing can be combined to inform and individualize the power profiling approach. Deriving the parameters of power-duration modelling suggests how these measures can be obtained from laboratory and field testing, including criteria for ensuring a high ecological validity (e.g. rider specialization, race demands). It is recommended that field testing should always be conducted in accordance with pre-established guidelines from the existing literature (e.g. set number of prediction trials, inter-trial recovery, road gradient and data analysis). It is also recommended to avoid single effort prediction trials, such as functional threshold power. Power-duration parameter estimates can be derived from the 2 parameter linear or non-linear critical power model: P(t) = W′/t + CP (W′—work capacity above CP; t—time). Structured field testing should be included to obtain an accurate fingerprint of a cyclist’s power profile.
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spelling pubmed-87838712022-02-02 Power profiling and the power-duration relationship in cycling: a narrative review Leo, Peter Spragg, James Podlogar, Tim Lawley, Justin S. Mujika, Iñigo Eur J Appl Physiol Invited Review Emerging trends in technological innovations, data analysis and practical applications have facilitated the measurement of cycling power output in the field, leading to improvements in training prescription, performance testing and race analysis. This review aimed to critically reflect on power profiling strategies in association with the power-duration relationship in cycling, to provide an updated view for applied researchers and practitioners. The authors elaborate on measuring power output followed by an outline of the methodological approaches to power profiling. Moreover, the deriving a power-duration relationship section presents existing concepts of power-duration models alongside exercise intensity domains. Combining laboratory and field testing discusses how traditional laboratory and field testing can be combined to inform and individualize the power profiling approach. Deriving the parameters of power-duration modelling suggests how these measures can be obtained from laboratory and field testing, including criteria for ensuring a high ecological validity (e.g. rider specialization, race demands). It is recommended that field testing should always be conducted in accordance with pre-established guidelines from the existing literature (e.g. set number of prediction trials, inter-trial recovery, road gradient and data analysis). It is also recommended to avoid single effort prediction trials, such as functional threshold power. Power-duration parameter estimates can be derived from the 2 parameter linear or non-linear critical power model: P(t) = W′/t + CP (W′—work capacity above CP; t—time). Structured field testing should be included to obtain an accurate fingerprint of a cyclist’s power profile. Springer Berlin Heidelberg 2021-10-27 2022 /pmc/articles/PMC8783871/ /pubmed/34708276 http://dx.doi.org/10.1007/s00421-021-04833-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Invited Review
Leo, Peter
Spragg, James
Podlogar, Tim
Lawley, Justin S.
Mujika, Iñigo
Power profiling and the power-duration relationship in cycling: a narrative review
title Power profiling and the power-duration relationship in cycling: a narrative review
title_full Power profiling and the power-duration relationship in cycling: a narrative review
title_fullStr Power profiling and the power-duration relationship in cycling: a narrative review
title_full_unstemmed Power profiling and the power-duration relationship in cycling: a narrative review
title_short Power profiling and the power-duration relationship in cycling: a narrative review
title_sort power profiling and the power-duration relationship in cycling: a narrative review
topic Invited Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8783871/
https://www.ncbi.nlm.nih.gov/pubmed/34708276
http://dx.doi.org/10.1007/s00421-021-04833-y
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