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Track cycling sprint sex differences using power data

OBJECTIVES: Currently, there are no data on sex differences in the power profiles in sprint track cycling. This cross-section study analyses retrospective data of female and male track sprint cyclists for sex differences. We hypothesized that women would exhibit lower peak power to weight than men,...

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Autores principales: Ferguson, Hamish, Harnish, Chris, Klich, Sebastian, Michalik, Kamil, Dunst, Anna Katharina, Zhou, Tony, Chase, J Geoffrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340095/
https://www.ncbi.nlm.nih.gov/pubmed/37456896
http://dx.doi.org/10.7717/peerj.15671
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author Ferguson, Hamish
Harnish, Chris
Klich, Sebastian
Michalik, Kamil
Dunst, Anna Katharina
Zhou, Tony
Chase, J Geoffrey
author_facet Ferguson, Hamish
Harnish, Chris
Klich, Sebastian
Michalik, Kamil
Dunst, Anna Katharina
Zhou, Tony
Chase, J Geoffrey
author_sort Ferguson, Hamish
collection PubMed
description OBJECTIVES: Currently, there are no data on sex differences in the power profiles in sprint track cycling. This cross-section study analyses retrospective data of female and male track sprint cyclists for sex differences. We hypothesized that women would exhibit lower peak power to weight than men, as well as demonstrate a different distribution of power durations related to sprint cycling performance. DESIGN: We used training, testing, and racing data from a publicly available online depository (www.strava.com), for 29 track sprint cyclists (eight women providing 18 datasets, and 21 men providing 54 datasets) to create sex-specific profiles. R(2) was used to describe model quality, and regression indices are used to compare watts per kilogram (W/kg) for each duration for both sexes against a 1:1 relationship expected for 15-s:15-s W/kg. RESULTS: We confirmed our sample were sprint cyclists, displaying higher peak and competition power than track endurance cyclists. All power profiles showed a high model quality (R(2) ≥ 0.77). Regression indices for both sexes were similar for all durations, suggesting similar peak power and similar relationship between peak power and endurance level for both men and women (rejecting our hypothesis). The value of R(2) for the female sprinters showed greater variation suggesting greater differences within female sprint cyclists. CONCLUSION: The main finding shows female sprint cyclists in this study have very similar relationships between peak power and endurance power as men. Higher variation in W/kg for women in this study than men, within these strong relationships, indicates women in this study, had greater inter-athlete variability, and may thus require more personalised training. Future work needs to be performed with larger samples, and at different levels to optimize these recommendations.
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spelling pubmed-103400952023-07-14 Track cycling sprint sex differences using power data Ferguson, Hamish Harnish, Chris Klich, Sebastian Michalik, Kamil Dunst, Anna Katharina Zhou, Tony Chase, J Geoffrey PeerJ Kinesiology OBJECTIVES: Currently, there are no data on sex differences in the power profiles in sprint track cycling. This cross-section study analyses retrospective data of female and male track sprint cyclists for sex differences. We hypothesized that women would exhibit lower peak power to weight than men, as well as demonstrate a different distribution of power durations related to sprint cycling performance. DESIGN: We used training, testing, and racing data from a publicly available online depository (www.strava.com), for 29 track sprint cyclists (eight women providing 18 datasets, and 21 men providing 54 datasets) to create sex-specific profiles. R(2) was used to describe model quality, and regression indices are used to compare watts per kilogram (W/kg) for each duration for both sexes against a 1:1 relationship expected for 15-s:15-s W/kg. RESULTS: We confirmed our sample were sprint cyclists, displaying higher peak and competition power than track endurance cyclists. All power profiles showed a high model quality (R(2) ≥ 0.77). Regression indices for both sexes were similar for all durations, suggesting similar peak power and similar relationship between peak power and endurance level for both men and women (rejecting our hypothesis). The value of R(2) for the female sprinters showed greater variation suggesting greater differences within female sprint cyclists. CONCLUSION: The main finding shows female sprint cyclists in this study have very similar relationships between peak power and endurance power as men. Higher variation in W/kg for women in this study than men, within these strong relationships, indicates women in this study, had greater inter-athlete variability, and may thus require more personalised training. Future work needs to be performed with larger samples, and at different levels to optimize these recommendations. PeerJ Inc. 2023-07-10 /pmc/articles/PMC10340095/ /pubmed/37456896 http://dx.doi.org/10.7717/peerj.15671 Text en © 2023 Ferguson et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Kinesiology
Ferguson, Hamish
Harnish, Chris
Klich, Sebastian
Michalik, Kamil
Dunst, Anna Katharina
Zhou, Tony
Chase, J Geoffrey
Track cycling sprint sex differences using power data
title Track cycling sprint sex differences using power data
title_full Track cycling sprint sex differences using power data
title_fullStr Track cycling sprint sex differences using power data
title_full_unstemmed Track cycling sprint sex differences using power data
title_short Track cycling sprint sex differences using power data
title_sort track cycling sprint sex differences using power data
topic Kinesiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340095/
https://www.ncbi.nlm.nih.gov/pubmed/37456896
http://dx.doi.org/10.7717/peerj.15671
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