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Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling
OBJECTIVES: The primary aim was to compare physiological and perceptual outcome parameters identified at common gas exchange and blood lactate (BLa) thresholds in Paralympic athletes while upper-body poling. The secondary aim was to compare the fit of the breakpoint models used to identify threshold...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209185/ https://www.ncbi.nlm.nih.gov/pubmed/30379853 http://dx.doi.org/10.1371/journal.pone.0205588 |
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author | Baumgart, Julia Kathrin Moes, Maaike Skovereng, Knut Ettema, Gertjan Sandbakk, Øyvind |
author_facet | Baumgart, Julia Kathrin Moes, Maaike Skovereng, Knut Ettema, Gertjan Sandbakk, Øyvind |
author_sort | Baumgart, Julia Kathrin |
collection | PubMed |
description | OBJECTIVES: The primary aim was to compare physiological and perceptual outcome parameters identified at common gas exchange and blood lactate (BLa) thresholds in Paralympic athletes while upper-body poling. The secondary aim was to compare the fit of the breakpoint models used to identify thresholds in the gas exchange thresholds data versus continuous linear and curvilinear (no-breakpoint) models. METHODS: Fifteen elite Para ice hockey players performed seven to eight 5-min stages at increasing workload until exhaustion during upper-body poling. Two regression lines were fitted to the oxygen uptake (VO(2))-carbon dioxide (VCO(2)) and minute ventilation (VE)/VO(2) data to determine the ventilatory threshold (VT), and to the VCO(2)-VE and VE/VCO(2) data to determine the respiratory compensation threshold (RCT). The first lactate threshold (LT1) was determined by the first rise in BLa (+0.4mmol·L(-1) and +1.0mmol·L(-1)) and a breakpoint in the log-log transformed VO(2)-BLa data, and the second lactate threshold (LT2) by a fixed rise in BLa above 4mmol·L(-1) and by employing the modified D(max) method. Paired-samples t-tests were used to compare the outcome parameters within and between the different threshold methods. The fit of the two regression lines (breakpoint model) used to identify thresholds in the gas exchange data was compared to that of a single regression line, an exponential and a 3(rd) order polynomial curve (no-breakpoint models) by Akaike weights. RESULTS: All outcome parameters identified with the VT (i.e., breakpoints in the VO(2)-VCO(2) or VE/VO(2) data) were significantly higher than the ones identified with a fixed rise in BLa (+0.4 or +1.0mmol·L(-1)) at the LT1 (e.g. BLa: 5.1±2.2 or 4.9±1.8 vs 1.9±0.6 or 2.3±0.5mmol·L(-1),p<0.001), but were not significantly different from the log-log transformed VO(2)-BLa data (4.3±1.6mmol·L(-1),p>0.06). The outcome parameters identified with breakpoints in the VCO(2)-VE data to determine the RCT (e.g. BLa: 5.5±1.4mmol·L(-1)) were not different from the ones identified with the modified D(max) method at the LT2 (5.5±1.1mmol·L(-1)) (all p>0.53), but were higher compared to parameters identified with VE/VCO(2) method (4.9±1.5mmol·L(-1)) and a fixed BLa value of 4mmol·L(-1) (all p<0.03). Although we were able to determine the VT and RCT via different gas exchange threshold methods with good fit in all 15 participants (mean R(2)>0.931), the continuous no-breakpoint models had the highest probability (>68%) of being the best models for the VO(2)-VCO(2) and the VCO(2)-VE data. CONCLUSIONS: In Paralympic athletes who exercise in the upper-body poling mode, the outcome parameters identified at the VT and the ones identified with fixed methods at the LT1 showed large differences, demonstrating that these cannot be used interchangeably to estimate the aerobic threshold. In addition, the close location of the VT, RCT and LT2 does not allow us to distinguish the aerobic and anaerobic threshold, indicating the presence of only one threshold in athletes with a disability exercising in an upper-body mode. Furthermore, the better fit of continuous no-breakpoint models indicates no presence of clear breakpoints in the gas exchange data for most participants. This makes us question if breakpoints in the gas exchange data really exist in an upper-body exercise mode in athletes with disabilities. |
format | Online Article Text |
id | pubmed-6209185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-62091852018-11-19 Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling Baumgart, Julia Kathrin Moes, Maaike Skovereng, Knut Ettema, Gertjan Sandbakk, Øyvind PLoS One Research Article OBJECTIVES: The primary aim was to compare physiological and perceptual outcome parameters identified at common gas exchange and blood lactate (BLa) thresholds in Paralympic athletes while upper-body poling. The secondary aim was to compare the fit of the breakpoint models used to identify thresholds in the gas exchange thresholds data versus continuous linear and curvilinear (no-breakpoint) models. METHODS: Fifteen elite Para ice hockey players performed seven to eight 5-min stages at increasing workload until exhaustion during upper-body poling. Two regression lines were fitted to the oxygen uptake (VO(2))-carbon dioxide (VCO(2)) and minute ventilation (VE)/VO(2) data to determine the ventilatory threshold (VT), and to the VCO(2)-VE and VE/VCO(2) data to determine the respiratory compensation threshold (RCT). The first lactate threshold (LT1) was determined by the first rise in BLa (+0.4mmol·L(-1) and +1.0mmol·L(-1)) and a breakpoint in the log-log transformed VO(2)-BLa data, and the second lactate threshold (LT2) by a fixed rise in BLa above 4mmol·L(-1) and by employing the modified D(max) method. Paired-samples t-tests were used to compare the outcome parameters within and between the different threshold methods. The fit of the two regression lines (breakpoint model) used to identify thresholds in the gas exchange data was compared to that of a single regression line, an exponential and a 3(rd) order polynomial curve (no-breakpoint models) by Akaike weights. RESULTS: All outcome parameters identified with the VT (i.e., breakpoints in the VO(2)-VCO(2) or VE/VO(2) data) were significantly higher than the ones identified with a fixed rise in BLa (+0.4 or +1.0mmol·L(-1)) at the LT1 (e.g. BLa: 5.1±2.2 or 4.9±1.8 vs 1.9±0.6 or 2.3±0.5mmol·L(-1),p<0.001), but were not significantly different from the log-log transformed VO(2)-BLa data (4.3±1.6mmol·L(-1),p>0.06). The outcome parameters identified with breakpoints in the VCO(2)-VE data to determine the RCT (e.g. BLa: 5.5±1.4mmol·L(-1)) were not different from the ones identified with the modified D(max) method at the LT2 (5.5±1.1mmol·L(-1)) (all p>0.53), but were higher compared to parameters identified with VE/VCO(2) method (4.9±1.5mmol·L(-1)) and a fixed BLa value of 4mmol·L(-1) (all p<0.03). Although we were able to determine the VT and RCT via different gas exchange threshold methods with good fit in all 15 participants (mean R(2)>0.931), the continuous no-breakpoint models had the highest probability (>68%) of being the best models for the VO(2)-VCO(2) and the VCO(2)-VE data. CONCLUSIONS: In Paralympic athletes who exercise in the upper-body poling mode, the outcome parameters identified at the VT and the ones identified with fixed methods at the LT1 showed large differences, demonstrating that these cannot be used interchangeably to estimate the aerobic threshold. In addition, the close location of the VT, RCT and LT2 does not allow us to distinguish the aerobic and anaerobic threshold, indicating the presence of only one threshold in athletes with a disability exercising in an upper-body mode. Furthermore, the better fit of continuous no-breakpoint models indicates no presence of clear breakpoints in the gas exchange data for most participants. This makes us question if breakpoints in the gas exchange data really exist in an upper-body exercise mode in athletes with disabilities. Public Library of Science 2018-10-31 /pmc/articles/PMC6209185/ /pubmed/30379853 http://dx.doi.org/10.1371/journal.pone.0205588 Text en © 2018 Baumgart et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Baumgart, Julia Kathrin Moes, Maaike Skovereng, Knut Ettema, Gertjan Sandbakk, Øyvind Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling |
title | Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling |
title_full | Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling |
title_fullStr | Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling |
title_full_unstemmed | Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling |
title_short | Examination of gas exchange and blood lactate thresholds in Paralympic athletes during upper-body poling |
title_sort | examination of gas exchange and blood lactate thresholds in paralympic athletes during upper-body poling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6209185/ https://www.ncbi.nlm.nih.gov/pubmed/30379853 http://dx.doi.org/10.1371/journal.pone.0205588 |
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