Cargando…
Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers
BACKGROUND: Research results on the training intensity distribution (TID) in endurance athletes are equivocal. This non-uniformity appears to be partially founded in the different quantification methods that are implemented. So far, TID research has solely focused on sports involving the lower-body...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8738792/ https://www.ncbi.nlm.nih.gov/pubmed/34989918 http://dx.doi.org/10.1186/s40798-021-00382-y |
_version_ | 1784628987503312896 |
---|---|
author | Matzka, Manuel Leppich, Robert Sperlich, Billy Zinner, Christoph |
author_facet | Matzka, Manuel Leppich, Robert Sperlich, Billy Zinner, Christoph |
author_sort | Matzka, Manuel |
collection | PubMed |
description | BACKGROUND: Research results on the training intensity distribution (TID) in endurance athletes are equivocal. This non-uniformity appears to be partially founded in the different quantification methods that are implemented. So far, TID research has solely focused on sports involving the lower-body muscles as prime movers (e.g. running). Sprint kayaking imposes high demands on the upper-body endurance capacity of the athlete. As there are structural and physiological differences between upper- and lower-body musculature, TID in kayaking should be different to lower-body dominant sports. Therefore, we aimed to compare the training intensity distribution during an 8-wk macrocycle in a group of highly trained sprint kayakers employing three different methods of training intensity quantification. METHODS: Heart rate (HR) and velocity during on-water training of nine highly trained German sprint kayakers were recorded during the final 8 weeks of a competition period leading to the national championships. The fractional analysis of TID was based on three zones (Z) derived from either HR (TID(Bla-HR)) or velocity (TID(Bla-V)) based on blood lactate (B(la)) concentrations (Z1 ≤ 2.5 mmol L(−1) B(la), Z2 = 2.5–4.0 mmol L(−1) B(la), Z3 ≥ 4.0 mmol L(−1) B(la)) of an incremental test or the 1000-m race pace (TID(Race)): Z1 ≤ 85% of race pace, Z2 = 86–95% and Z3 ≥ 95%. RESULTS: TID(Bla-V) (Z1: 68%, Z2: 14%, Z3: 18%) differed from TID(Bla-HR) (Z1: 91%, Z2: 6%, Z3: 3%) in each zone (all p < 0.01). TID(Race) (Z1: 73%, Z2: 20%, Z3: 7%) differed to Z3 in TID(Bla-V) (p < 0.01) and all three TID(Bla-HR) zones (all p < 0.01). Individual analysis revealed ranges of Z1, Z2, Z3 fractions for TID(Bla-HR) of 85–98%, 2–11% and 0.1–6%. For TID(Bla-V), the individual ranges were 41–82% (Z1), 6–30% (Z2) and 8–30% (Z3) and for TID(Race) 64–81% (Z1), 14–29% (Z2) and 4–10% (Z3). CONCLUSION: The results show that the method of training intensity quantification substantially affects the fraction of TID in well-trained sprint kayakers. TID(Race) determination shows low interindividual variation compared to the physiologically based TID(Bla-HR) and TID(Bla-V). Depending on the aim of the analysis TID(Race), TID(Bla-HR) and TID(Bla-V) have advantages as well as drawbacks and may be implemented in conjunction to maximize adaptation. |
format | Online Article Text |
id | pubmed-8738792 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-87387922022-01-20 Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers Matzka, Manuel Leppich, Robert Sperlich, Billy Zinner, Christoph Sports Med Open Original Research Article BACKGROUND: Research results on the training intensity distribution (TID) in endurance athletes are equivocal. This non-uniformity appears to be partially founded in the different quantification methods that are implemented. So far, TID research has solely focused on sports involving the lower-body muscles as prime movers (e.g. running). Sprint kayaking imposes high demands on the upper-body endurance capacity of the athlete. As there are structural and physiological differences between upper- and lower-body musculature, TID in kayaking should be different to lower-body dominant sports. Therefore, we aimed to compare the training intensity distribution during an 8-wk macrocycle in a group of highly trained sprint kayakers employing three different methods of training intensity quantification. METHODS: Heart rate (HR) and velocity during on-water training of nine highly trained German sprint kayakers were recorded during the final 8 weeks of a competition period leading to the national championships. The fractional analysis of TID was based on three zones (Z) derived from either HR (TID(Bla-HR)) or velocity (TID(Bla-V)) based on blood lactate (B(la)) concentrations (Z1 ≤ 2.5 mmol L(−1) B(la), Z2 = 2.5–4.0 mmol L(−1) B(la), Z3 ≥ 4.0 mmol L(−1) B(la)) of an incremental test or the 1000-m race pace (TID(Race)): Z1 ≤ 85% of race pace, Z2 = 86–95% and Z3 ≥ 95%. RESULTS: TID(Bla-V) (Z1: 68%, Z2: 14%, Z3: 18%) differed from TID(Bla-HR) (Z1: 91%, Z2: 6%, Z3: 3%) in each zone (all p < 0.01). TID(Race) (Z1: 73%, Z2: 20%, Z3: 7%) differed to Z3 in TID(Bla-V) (p < 0.01) and all three TID(Bla-HR) zones (all p < 0.01). Individual analysis revealed ranges of Z1, Z2, Z3 fractions for TID(Bla-HR) of 85–98%, 2–11% and 0.1–6%. For TID(Bla-V), the individual ranges were 41–82% (Z1), 6–30% (Z2) and 8–30% (Z3) and for TID(Race) 64–81% (Z1), 14–29% (Z2) and 4–10% (Z3). CONCLUSION: The results show that the method of training intensity quantification substantially affects the fraction of TID in well-trained sprint kayakers. TID(Race) determination shows low interindividual variation compared to the physiologically based TID(Bla-HR) and TID(Bla-V). Depending on the aim of the analysis TID(Race), TID(Bla-HR) and TID(Bla-V) have advantages as well as drawbacks and may be implemented in conjunction to maximize adaptation. Springer International Publishing 2022-01-06 /pmc/articles/PMC8738792/ /pubmed/34989918 http://dx.doi.org/10.1186/s40798-021-00382-y Text en © The Author(s) 2021 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 Research Article Matzka, Manuel Leppich, Robert Sperlich, Billy Zinner, Christoph Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers |
title | Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers |
title_full | Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers |
title_fullStr | Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers |
title_full_unstemmed | Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers |
title_short | Retrospective Analysis of Training Intensity Distribution Based on Race Pace Versus Physiological Benchmarks in Highly Trained Sprint Kayakers |
title_sort | retrospective analysis of training intensity distribution based on race pace versus physiological benchmarks in highly trained sprint kayakers |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8738792/ https://www.ncbi.nlm.nih.gov/pubmed/34989918 http://dx.doi.org/10.1186/s40798-021-00382-y |
work_keys_str_mv | AT matzkamanuel retrospectiveanalysisoftrainingintensitydistributionbasedonracepaceversusphysiologicalbenchmarksinhighlytrainedsprintkayakers AT leppichrobert retrospectiveanalysisoftrainingintensitydistributionbasedonracepaceversusphysiologicalbenchmarksinhighlytrainedsprintkayakers AT sperlichbilly retrospectiveanalysisoftrainingintensitydistributionbasedonracepaceversusphysiologicalbenchmarksinhighlytrainedsprintkayakers AT zinnerchristoph retrospectiveanalysisoftrainingintensitydistributionbasedonracepaceversusphysiologicalbenchmarksinhighlytrainedsprintkayakers |