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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
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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. |
format | Online Article Text |
id | pubmed-8783871 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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