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Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions

Research on heart rate (HR), mean arterial pressure (MAP) and blood pressure (BP) during specific training stages is less common in endurance athletes, whereas resting BP and HR are less studied in relationship to HR(max). In the current study, the objective was to conduct a medium-term HR, BP and M...

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Autores principales: Martin, Stefan Adrian, Hadmaș, Roxana Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784154/
https://www.ncbi.nlm.nih.gov/pubmed/31547420
http://dx.doi.org/10.3390/sports7090211
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author Martin, Stefan Adrian
Hadmaș, Roxana Maria
author_facet Martin, Stefan Adrian
Hadmaș, Roxana Maria
author_sort Martin, Stefan Adrian
collection PubMed
description Research on heart rate (HR), mean arterial pressure (MAP) and blood pressure (BP) during specific training stages is less common in endurance athletes, whereas resting BP and HR are less studied in relationship to HR(max). In the current study, the objective was to conduct a medium-term HR, BP and MAP analysis while tracking individual training outcomes. The study was conducted during the 2017–2018 season, over 43 days and 1033 km of training volume, on 12 competitive male cross-country ski athletes. One VO(2max) test was performed 10 days before the start of the training program. After the test, training volume and intensity was preset for each subject, according to the general training methodology. Early morning HR, MAP and BP measurements were taken as part of the basic functional analysis. Training volume was correlated to both distance (p = 0.01, r = 0.85, CI95% = 0.80 to 0.88) and training HR%, namely the percentage of HR(max) (p = 0.01, r = −0.47, CI95% = −0.58 to −0.34). Both the supine (sHR) and orthostatic HR (oHR) values were significantly correlated with the training intensity. We obtained a significant correlation between sHR and oHR values and the training objective (p = 0.01). An increased oHR was correlated to high intensity training activity (HIT) during the second training session (p = 0.01). Heart rate and blood pressure measurements represent predictive functional adaptation parameters over different training phases. We highlight a link between sHR, oHR, MAP data, and the athletes’ ability to perform in lower effort zones during physical exertion. However, we failed to validate MAP as a cardiovascular stress indicator following high intensity training.
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spelling pubmed-67841542019-10-16 Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions Martin, Stefan Adrian Hadmaș, Roxana Maria Sports (Basel) Article Research on heart rate (HR), mean arterial pressure (MAP) and blood pressure (BP) during specific training stages is less common in endurance athletes, whereas resting BP and HR are less studied in relationship to HR(max). In the current study, the objective was to conduct a medium-term HR, BP and MAP analysis while tracking individual training outcomes. The study was conducted during the 2017–2018 season, over 43 days and 1033 km of training volume, on 12 competitive male cross-country ski athletes. One VO(2max) test was performed 10 days before the start of the training program. After the test, training volume and intensity was preset for each subject, according to the general training methodology. Early morning HR, MAP and BP measurements were taken as part of the basic functional analysis. Training volume was correlated to both distance (p = 0.01, r = 0.85, CI95% = 0.80 to 0.88) and training HR%, namely the percentage of HR(max) (p = 0.01, r = −0.47, CI95% = −0.58 to −0.34). Both the supine (sHR) and orthostatic HR (oHR) values were significantly correlated with the training intensity. We obtained a significant correlation between sHR and oHR values and the training objective (p = 0.01). An increased oHR was correlated to high intensity training activity (HIT) during the second training session (p = 0.01). Heart rate and blood pressure measurements represent predictive functional adaptation parameters over different training phases. We highlight a link between sHR, oHR, MAP data, and the athletes’ ability to perform in lower effort zones during physical exertion. However, we failed to validate MAP as a cardiovascular stress indicator following high intensity training. MDPI 2019-09-12 /pmc/articles/PMC6784154/ /pubmed/31547420 http://dx.doi.org/10.3390/sports7090211 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Martin, Stefan Adrian
Hadmaș, Roxana Maria
Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions
title Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions
title_full Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions
title_fullStr Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions
title_full_unstemmed Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions
title_short Individual Adaptation in Cross-Country Skiing Based on Tracking during Training Conditions
title_sort individual adaptation in cross-country skiing based on tracking during training conditions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6784154/
https://www.ncbi.nlm.nih.gov/pubmed/31547420
http://dx.doi.org/10.3390/sports7090211
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