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Anaerobic work capacity in cycling: the effect of computational method
PURPOSE: To compare the anaerobic work capacity (AnWC, i.e., attributable anaerobic mechanical work) assessed using four different approaches/models applied to time-trial (TT) cycle-ergometry exercise. METHODS: Fifteen male cyclists completed a 7 × 4-min submaximal protocol and a 3-min all-out TT (T...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613728/ https://www.ncbi.nlm.nih.gov/pubmed/36114839 http://dx.doi.org/10.1007/s00421-022-05038-7 |
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author | Andersson, Erik P. Bachl, Philipp Schmuttermair, Anna Staunton, Craig A. Stöggl, Thomas L. |
author_facet | Andersson, Erik P. Bachl, Philipp Schmuttermair, Anna Staunton, Craig A. Stöggl, Thomas L. |
author_sort | Andersson, Erik P. |
collection | PubMed |
description | PURPOSE: To compare the anaerobic work capacity (AnWC, i.e., attributable anaerobic mechanical work) assessed using four different approaches/models applied to time-trial (TT) cycle-ergometry exercise. METHODS: Fifteen male cyclists completed a 7 × 4-min submaximal protocol and a 3-min all-out TT (TT(AO)). Linear relationships between power output (PO) and submaximal metabolic rate were constructed to estimate TT-specific gross efficiency (GE) and AnWC, using either a measured resting metabolic rate as a Y-intercept (7 + Y(LIN)) or no measured Y-intercept (7-Y(LIN)). In addition, GE of the last submaximal bout (GE(LAST)) was used to estimate AnWC, and critical power (CP) from TT(AO) (CP(3´AO)) was used to estimate mechanical work above CP (W’, i.e., “AnWC”). RESULTS: Average PO during TT(AO) was 5.43 ± 0.30 and CP was 4.48 ± 0.23 W∙kg(−1). The TT-associated GE values were ~ 22.0% for both 7 + Y(LIN) and 7-Y(LIN) and ~ 21.1% for GE(LAST) (both P < 0.001). The AnWC were 269 ± 60, 272 ± 55, 299 ± 61, and 196 ± 52 J∙kg(−1) for the 7 + Y(LIN), 7-Y(LIN), GE(LAST), and CP(3´AO) models, respectively (7 + Y(LIN) and 7-Y(LIN) versus GE(LAST), both P < 0.001; 7 + Y(LIN), 7-Y(LIN), and GE(LAST) versus CP(3´AO), all P < 0.01). For the three pair-wise comparisons between 7 + Y(LIN), 7-Y(LIN), and GE(LAST), typical errors in AnWC values ranged from 7 to 11 J∙kg(−1), whereas 7 + Y(LIN), 7-Y(LIN), and GE(LAST) versus CP(3´AO) revealed typical errors of 55–59 J∙kg(−1). CONCLUSION: These findings demonstrate a substantial disagreement in AnWC between CP(3´AO) and the other models. The 7 + Y(LIN) and 7-Y(LIN) generated 10% lower AnWC values than the GE(LAST) model, whereas 7 + Y(LIN) and 7-Y(LIN) generated similar values of AnWC. |
format | Online Article Text |
id | pubmed-9613728 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-96137282022-10-29 Anaerobic work capacity in cycling: the effect of computational method Andersson, Erik P. Bachl, Philipp Schmuttermair, Anna Staunton, Craig A. Stöggl, Thomas L. Eur J Appl Physiol Original Article PURPOSE: To compare the anaerobic work capacity (AnWC, i.e., attributable anaerobic mechanical work) assessed using four different approaches/models applied to time-trial (TT) cycle-ergometry exercise. METHODS: Fifteen male cyclists completed a 7 × 4-min submaximal protocol and a 3-min all-out TT (TT(AO)). Linear relationships between power output (PO) and submaximal metabolic rate were constructed to estimate TT-specific gross efficiency (GE) and AnWC, using either a measured resting metabolic rate as a Y-intercept (7 + Y(LIN)) or no measured Y-intercept (7-Y(LIN)). In addition, GE of the last submaximal bout (GE(LAST)) was used to estimate AnWC, and critical power (CP) from TT(AO) (CP(3´AO)) was used to estimate mechanical work above CP (W’, i.e., “AnWC”). RESULTS: Average PO during TT(AO) was 5.43 ± 0.30 and CP was 4.48 ± 0.23 W∙kg(−1). The TT-associated GE values were ~ 22.0% for both 7 + Y(LIN) and 7-Y(LIN) and ~ 21.1% for GE(LAST) (both P < 0.001). The AnWC were 269 ± 60, 272 ± 55, 299 ± 61, and 196 ± 52 J∙kg(−1) for the 7 + Y(LIN), 7-Y(LIN), GE(LAST), and CP(3´AO) models, respectively (7 + Y(LIN) and 7-Y(LIN) versus GE(LAST), both P < 0.001; 7 + Y(LIN), 7-Y(LIN), and GE(LAST) versus CP(3´AO), all P < 0.01). For the three pair-wise comparisons between 7 + Y(LIN), 7-Y(LIN), and GE(LAST), typical errors in AnWC values ranged from 7 to 11 J∙kg(−1), whereas 7 + Y(LIN), 7-Y(LIN), and GE(LAST) versus CP(3´AO) revealed typical errors of 55–59 J∙kg(−1). CONCLUSION: These findings demonstrate a substantial disagreement in AnWC between CP(3´AO) and the other models. The 7 + Y(LIN) and 7-Y(LIN) generated 10% lower AnWC values than the GE(LAST) model, whereas 7 + Y(LIN) and 7-Y(LIN) generated similar values of AnWC. Springer Berlin Heidelberg 2022-09-17 2022 /pmc/articles/PMC9613728/ /pubmed/36114839 http://dx.doi.org/10.1007/s00421-022-05038-7 Text en © The Author(s) 2022 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 | Original Article Andersson, Erik P. Bachl, Philipp Schmuttermair, Anna Staunton, Craig A. Stöggl, Thomas L. Anaerobic work capacity in cycling: the effect of computational method |
title | Anaerobic work capacity in cycling: the effect of computational method |
title_full | Anaerobic work capacity in cycling: the effect of computational method |
title_fullStr | Anaerobic work capacity in cycling: the effect of computational method |
title_full_unstemmed | Anaerobic work capacity in cycling: the effect of computational method |
title_short | Anaerobic work capacity in cycling: the effect of computational method |
title_sort | anaerobic work capacity in cycling: the effect of computational method |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9613728/ https://www.ncbi.nlm.nih.gov/pubmed/36114839 http://dx.doi.org/10.1007/s00421-022-05038-7 |
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