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A Comparison between Different Methods of Estimating Anaerobic Energy Production
Purpose: The present study aimed to compare four methods of estimating anaerobic energy production during supramaximal exercise. Methods: Twenty-one junior cross-country skiers competing at a national and/or international level were tested on a treadmill during uphill (7°) diagonal-stride (DS) rolle...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809502/ https://www.ncbi.nlm.nih.gov/pubmed/29472871 http://dx.doi.org/10.3389/fphys.2018.00082 |
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author | Andersson, Erik P. McGawley, Kerry |
author_facet | Andersson, Erik P. McGawley, Kerry |
author_sort | Andersson, Erik P. |
collection | PubMed |
description | Purpose: The present study aimed to compare four methods of estimating anaerobic energy production during supramaximal exercise. Methods: Twenty-one junior cross-country skiers competing at a national and/or international level were tested on a treadmill during uphill (7°) diagonal-stride (DS) roller-skiing. After a 4-minute warm-up, a 4 × 4-min continuous submaximal protocol was performed followed by a 600-m time trial (TT). For the maximal accumulated O(2) deficit (MAOD) method the [Formula: see text] O(2)-speed regression relationship was used to estimate the [Formula: see text] O(2) demand during the TT, either including (4+Y, method 1) or excluding (4-Y, method 2) a fixed Y-intercept for baseline [Formula: see text] O(2). The gross efficiency (GE) method (method 3) involved calculating metabolic rate during the TT by dividing power output by submaximal GE, which was then converted to a [Formula: see text] O(2) demand. An alternative method based on submaximal energy cost (EC, method 4) was also used to estimate [Formula: see text] O(2) demand during the TT. Results: The GE/EC remained constant across the submaximal stages and the supramaximal TT was performed in 185 ± 24 s. The GE and EC methods produced identical [Formula: see text] O(2) demands and O(2) deficits. The [Formula: see text] O(2) demand was ~3% lower for the 4+Y method compared with the 4-Y and GE/EC methods, with corresponding O(2) deficits of 56 ± 10, 62 ± 10, and 63 ± 10 mL·kg(−1), respectively (P < 0.05 for 4+Y vs. 4-Y and GE/EC). The mean differences between the estimated O(2) deficits were −6 ± 5 mL·kg(−1) (4+Y vs. 4-Y, P < 0.05), −7 ± 1 mL·kg(−1) (4+Y vs. GE/EC, P < 0.05) and −1 ± 5 mL·kg(−1) (4-Y vs. GE/EC), with respective typical errors of 5.3, 1.9, and 6.0%. The mean difference between the O(2) deficit estimated with GE/EC based on the average of four submaximal stages compared with the last stage was 1 ± 2 mL·kg(−1), with a typical error of 3.2%. Conclusions: These findings demonstrate a disagreement in the O(2) deficits estimated using current methods. In addition, the findings suggest that a valid estimate of the O(2) deficit may be possible using data from only one submaximal stage in combination with the GE/EC method. |
format | Online Article Text |
id | pubmed-5809502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-58095022018-02-22 A Comparison between Different Methods of Estimating Anaerobic Energy Production Andersson, Erik P. McGawley, Kerry Front Physiol Physiology Purpose: The present study aimed to compare four methods of estimating anaerobic energy production during supramaximal exercise. Methods: Twenty-one junior cross-country skiers competing at a national and/or international level were tested on a treadmill during uphill (7°) diagonal-stride (DS) roller-skiing. After a 4-minute warm-up, a 4 × 4-min continuous submaximal protocol was performed followed by a 600-m time trial (TT). For the maximal accumulated O(2) deficit (MAOD) method the [Formula: see text] O(2)-speed regression relationship was used to estimate the [Formula: see text] O(2) demand during the TT, either including (4+Y, method 1) or excluding (4-Y, method 2) a fixed Y-intercept for baseline [Formula: see text] O(2). The gross efficiency (GE) method (method 3) involved calculating metabolic rate during the TT by dividing power output by submaximal GE, which was then converted to a [Formula: see text] O(2) demand. An alternative method based on submaximal energy cost (EC, method 4) was also used to estimate [Formula: see text] O(2) demand during the TT. Results: The GE/EC remained constant across the submaximal stages and the supramaximal TT was performed in 185 ± 24 s. The GE and EC methods produced identical [Formula: see text] O(2) demands and O(2) deficits. The [Formula: see text] O(2) demand was ~3% lower for the 4+Y method compared with the 4-Y and GE/EC methods, with corresponding O(2) deficits of 56 ± 10, 62 ± 10, and 63 ± 10 mL·kg(−1), respectively (P < 0.05 for 4+Y vs. 4-Y and GE/EC). The mean differences between the estimated O(2) deficits were −6 ± 5 mL·kg(−1) (4+Y vs. 4-Y, P < 0.05), −7 ± 1 mL·kg(−1) (4+Y vs. GE/EC, P < 0.05) and −1 ± 5 mL·kg(−1) (4-Y vs. GE/EC), with respective typical errors of 5.3, 1.9, and 6.0%. The mean difference between the O(2) deficit estimated with GE/EC based on the average of four submaximal stages compared with the last stage was 1 ± 2 mL·kg(−1), with a typical error of 3.2%. Conclusions: These findings demonstrate a disagreement in the O(2) deficits estimated using current methods. In addition, the findings suggest that a valid estimate of the O(2) deficit may be possible using data from only one submaximal stage in combination with the GE/EC method. Frontiers Media S.A. 2018-02-08 /pmc/articles/PMC5809502/ /pubmed/29472871 http://dx.doi.org/10.3389/fphys.2018.00082 Text en Copyright © 2018 Andersson and McGawley. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Andersson, Erik P. McGawley, Kerry A Comparison between Different Methods of Estimating Anaerobic Energy Production |
title | A Comparison between Different Methods of Estimating Anaerobic Energy Production |
title_full | A Comparison between Different Methods of Estimating Anaerobic Energy Production |
title_fullStr | A Comparison between Different Methods of Estimating Anaerobic Energy Production |
title_full_unstemmed | A Comparison between Different Methods of Estimating Anaerobic Energy Production |
title_short | A Comparison between Different Methods of Estimating Anaerobic Energy Production |
title_sort | comparison between different methods of estimating anaerobic energy production |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809502/ https://www.ncbi.nlm.nih.gov/pubmed/29472871 http://dx.doi.org/10.3389/fphys.2018.00082 |
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