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Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort

BACKGROUND: This study investigated the periodization of elite swimmers’ training over the 25 weeks preceding the major competition of the season. METHODS: We conducted a retrospective observational study of elite male (n = 60) and female (n = 67) swimmers (46 sprint, 81 middle-distance) over 20 com...

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Autores principales: Hellard, Philippe, Avalos-Fernandes, Marta, Lefort, Gaelle, Pla, Robin, Mujika, Inigo, Toussaint, Jean-François, Pyne, David B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470949/
https://www.ncbi.nlm.nih.gov/pubmed/31031631
http://dx.doi.org/10.3389/fphys.2019.00363
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author Hellard, Philippe
Avalos-Fernandes, Marta
Lefort, Gaelle
Pla, Robin
Mujika, Inigo
Toussaint, Jean-François
Pyne, David B.
author_facet Hellard, Philippe
Avalos-Fernandes, Marta
Lefort, Gaelle
Pla, Robin
Mujika, Inigo
Toussaint, Jean-François
Pyne, David B.
author_sort Hellard, Philippe
collection PubMed
description BACKGROUND: This study investigated the periodization of elite swimmers’ training over the 25 weeks preceding the major competition of the season. METHODS: We conducted a retrospective observational study of elite male (n = 60) and female (n = 67) swimmers (46 sprint, 81 middle-distance) over 20 competitive seasons (1992–2012). The following variables were monitored: training corresponding to blood lactate <2 mmol⋅L(-1), 2 to ≤4 mmol⋅L(-1), >4–6 mmol⋅L(-1), >6 mmol⋅L(-1), and maximal swimming speed; general conditioning and maximal strength training hours; total training load (TTL); and the mean normalized volumes for both in-water and dryland workouts. Latent class mixed modeling was used to identify various TTL pattern groups. The associations between pattern groups and sex, age, competition event, Olympic quadrennial year, training contents, and relative performance were quantified. RESULTS: For the entire cohort, ∼86–90% of the training was swum at an intensity of [La](b) ≤ 4 mmol⋅L(-1). This training volume was divided into 40–44% at <2 mmol⋅L(-1) and 44–46% at 2 to ≤4 mmol⋅L(-1), leaving 6–9.5% at >4–6 mmol⋅L(-1), and 3.5–4.5% at >6 mmol⋅L(-1). Three sprint TTL patterns were identified: a pattern with two long ∼14–15-week macrocycles, one with two ∼12–13 week macrocycles each composed of a balanced training load, and one with a single stable flat macrocycle. The long pattern elicited the fastest performances and was most prevalent in Olympic quadrennials (i.e., 4 seasons preceding the 2004, 2008, and 2012 Olympic Games). This pattern exhibited moderate week-to-week TTL variability (6 ± 3%), progressive training load increases between macrocycles, and more training at ≤4 mmol⋅L(-1) and >6 mmol⋅L(-1). This fastest sprint pattern showed a waveform in the second macrocycle consisting of two progressive load peaks 10–11 and 4–6 weeks before competition. The stable flat pattern was the slowest and showed low TTL variability (4 ± 3%), training load decreases between macrocycles (P < 0.01), and more training at 4–6 mmol⋅L(-1) (P < 0.01). CONCLUSION: Progressive increases in training load, macrocycles lasting about 14–15 weeks, and substantial volume of training at intensities ≤4 mmol⋅L(-1) and >6 mmol⋅L(-1), were associated with peak performance in elite swimmers.
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spelling pubmed-64709492019-04-26 Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort Hellard, Philippe Avalos-Fernandes, Marta Lefort, Gaelle Pla, Robin Mujika, Inigo Toussaint, Jean-François Pyne, David B. Front Physiol Physiology BACKGROUND: This study investigated the periodization of elite swimmers’ training over the 25 weeks preceding the major competition of the season. METHODS: We conducted a retrospective observational study of elite male (n = 60) and female (n = 67) swimmers (46 sprint, 81 middle-distance) over 20 competitive seasons (1992–2012). The following variables were monitored: training corresponding to blood lactate <2 mmol⋅L(-1), 2 to ≤4 mmol⋅L(-1), >4–6 mmol⋅L(-1), >6 mmol⋅L(-1), and maximal swimming speed; general conditioning and maximal strength training hours; total training load (TTL); and the mean normalized volumes for both in-water and dryland workouts. Latent class mixed modeling was used to identify various TTL pattern groups. The associations between pattern groups and sex, age, competition event, Olympic quadrennial year, training contents, and relative performance were quantified. RESULTS: For the entire cohort, ∼86–90% of the training was swum at an intensity of [La](b) ≤ 4 mmol⋅L(-1). This training volume was divided into 40–44% at <2 mmol⋅L(-1) and 44–46% at 2 to ≤4 mmol⋅L(-1), leaving 6–9.5% at >4–6 mmol⋅L(-1), and 3.5–4.5% at >6 mmol⋅L(-1). Three sprint TTL patterns were identified: a pattern with two long ∼14–15-week macrocycles, one with two ∼12–13 week macrocycles each composed of a balanced training load, and one with a single stable flat macrocycle. The long pattern elicited the fastest performances and was most prevalent in Olympic quadrennials (i.e., 4 seasons preceding the 2004, 2008, and 2012 Olympic Games). This pattern exhibited moderate week-to-week TTL variability (6 ± 3%), progressive training load increases between macrocycles, and more training at ≤4 mmol⋅L(-1) and >6 mmol⋅L(-1). This fastest sprint pattern showed a waveform in the second macrocycle consisting of two progressive load peaks 10–11 and 4–6 weeks before competition. The stable flat pattern was the slowest and showed low TTL variability (4 ± 3%), training load decreases between macrocycles (P < 0.01), and more training at 4–6 mmol⋅L(-1) (P < 0.01). CONCLUSION: Progressive increases in training load, macrocycles lasting about 14–15 weeks, and substantial volume of training at intensities ≤4 mmol⋅L(-1) and >6 mmol⋅L(-1), were associated with peak performance in elite swimmers. Frontiers Media S.A. 2019-04-10 /pmc/articles/PMC6470949/ /pubmed/31031631 http://dx.doi.org/10.3389/fphys.2019.00363 Text en Copyright © 2019 Hellard, Avalos-Fernandes, Lefort, Pla, Mujika, Toussaint and Pyne. 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(s) 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
Hellard, Philippe
Avalos-Fernandes, Marta
Lefort, Gaelle
Pla, Robin
Mujika, Inigo
Toussaint, Jean-François
Pyne, David B.
Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort
title Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort
title_full Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort
title_fullStr Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort
title_full_unstemmed Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort
title_short Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort
title_sort elite swimmers’ training patterns in the 25 weeks prior to their season’s best performances: insights into periodization from a 20-years cohort
topic Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6470949/
https://www.ncbi.nlm.nih.gov/pubmed/31031631
http://dx.doi.org/10.3389/fphys.2019.00363
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