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

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

Full description

Bibliographic Details
Main Authors: Philippe Hellard, Marta Avalos-Fernandes, Gaelle Lefort, Robin Pla, Inigo Mujika, Jean-François Toussaint, David B. Pyne
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Physiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fphys.2019.00363/full
id doaj-dea9447af1ac427897b2eae54e0d19d7
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Philippe Hellard
Philippe Hellard
Philippe Hellard
Marta Avalos-Fernandes
Marta Avalos-Fernandes
Gaelle Lefort
Gaelle Lefort
Robin Pla
Inigo Mujika
Inigo Mujika
Jean-François Toussaint
Jean-François Toussaint
David B. Pyne
spellingShingle Philippe Hellard
Philippe Hellard
Philippe Hellard
Marta Avalos-Fernandes
Marta Avalos-Fernandes
Gaelle Lefort
Gaelle Lefort
Robin Pla
Inigo Mujika
Inigo Mujika
Jean-François Toussaint
Jean-François Toussaint
David B. Pyne
Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years Cohort
Frontiers in Physiology
training distribution
progressivity
competitive performance
swimming
latent class mixed models
author_facet Philippe Hellard
Philippe Hellard
Philippe Hellard
Marta Avalos-Fernandes
Marta Avalos-Fernandes
Gaelle Lefort
Gaelle Lefort
Robin Pla
Inigo Mujika
Inigo Mujika
Jean-François Toussaint
Jean-François Toussaint
David B. Pyne
author_sort Philippe Hellard
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_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_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_sort elite swimmers’ training patterns in the 25 weeks prior to their season’s best performances: insights into periodization from a 20-years cohort
publisher Frontiers Media S.A.
series Frontiers in Physiology
issn 1664-042X
publishDate 2019-04-01
description BackgroundThis study investigated the periodization of elite swimmers’ training over the 25 weeks preceding the major competition of the season.MethodsWe 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.ResultsFor 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).ConclusionProgressive 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.
topic training distribution
progressivity
competitive performance
swimming
latent class mixed models
url https://www.frontiersin.org/article/10.3389/fphys.2019.00363/full
work_keys_str_mv AT philippehellard eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT philippehellard eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT philippehellard eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT martaavalosfernandes eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT martaavalosfernandes eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT gaellelefort eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT gaellelefort eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT robinpla eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT inigomujika eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT inigomujika eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT jeanfrancoistoussaint eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT jeanfrancoistoussaint eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
AT davidbpyne eliteswimmerstrainingpatternsinthe25weekspriortotheirseasonsbestperformancesinsightsintoperiodizationfroma20yearscohort
_version_ 1725240343183491072
spelling doaj-dea9447af1ac427897b2eae54e0d19d72020-11-25T00:52:54ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2019-04-011010.3389/fphys.2019.00363434714Elite Swimmers’ Training Patterns in the 25 Weeks Prior to Their Season’s Best Performances: Insights Into Periodization From a 20-Years CohortPhilippe Hellard0Philippe Hellard1Philippe Hellard2Marta Avalos-Fernandes3Marta Avalos-Fernandes4Gaelle Lefort5Gaelle Lefort6Robin Pla7Inigo Mujika8Inigo Mujika9Jean-François Toussaint10Jean-François Toussaint11David B. Pyne12Research Department, French Swimming Federation, Pantin, FranceCREPS Bordeaux-Aquitaine, Bordeaux, FranceCentre d’Etudes des Transformations des Activités Physiques et Sportives, EA-3832, Faculté des Sciences du Sport, Université de Rouen, Mont-Saint-Aignan, FranceInstitut National de Recherche en Informatique et en Automatique SISTM, Bordeaux, FranceINSERM, UMR 1219, University of Bordeaux, Bordeaux, FranceInstitut National de Recherche en Informatique et en Automatique SISTM, Bordeaux, FranceÉcole Nationale de la Statistique et de l’Analyse de l’Information (ENSAI), Bruz, FranceResearch Department, French Swimming Federation, Pantin, FranceDepartment of Physiology, Faculty of Medicine and Odontology, University of the Basque Country, Leioa, SpainExercise Science Laboratory, School of Kinesiology, Faculty of Medicine, Universidad Finis Terrae, Santiago, ChileEA 7329, Paris Descartes University, Sorbonne Paris Cité University, Paris, France0Centre d’Investigation en Médecine du Sport, Hôpital Hôtel-Dieu, AP-HP, Paris, France1Research Institute for Sport and Exercise, University of Canberra, Canberra, ACT, AustraliaBackgroundThis study investigated the periodization of elite swimmers’ training over the 25 weeks preceding the major competition of the season.MethodsWe 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.ResultsFor 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).ConclusionProgressive 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.https://www.frontiersin.org/article/10.3389/fphys.2019.00363/fulltraining distributionprogressivitycompetitive performanceswimminglatent class mixed models