Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions?
High-Intensity Interval Training (HIIT) is a time-efficient training method suggested to improve health and fitness for the clinical population, healthy subjects, and athletes. Many parameters can impact the difficulty of HIIT sessions. This study aims to highlight and explain, through logical deduc...
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Format: | Article |
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MDPI AG
2022-01-01
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Series: | Sports |
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Online Access: | https://www.mdpi.com/2075-4663/10/1/10 |
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author | Jérémy Briand Jonathan Tremblay Guy Thibault |
author_facet | Jérémy Briand Jonathan Tremblay Guy Thibault |
author_sort | Jérémy Briand |
collection | DOAJ |
description | High-Intensity Interval Training (HIIT) is a time-efficient training method suggested to improve health and fitness for the clinical population, healthy subjects, and athletes. Many parameters can impact the difficulty of HIIT sessions. This study aims to highlight and explain, through logical deductions, some limitations of the Skiba and Coggan models, widely used to prescribe HIIT sessions in cycling. We simulated 6198 different HIIT training sessions leading to exhaustion, according to the Skiba and Coggan-Modified (modification of the Coggan model with the introduction of an exhaustion criterion) models, for three fictitious athlete profiles (Time-Trialist, All-Rounder, Sprinter). The simulation revealed impossible sessions (i.e., requiring athletes to surpass their maximal power output over the exercise interval duration), characterized by a few short exercise intervals, performed in the severe and extreme intensity domains, alternating with long recovery bouts. The fraction of impossible sessions depends on the athlete profile and ranges between 4.4 and 22.9% for the Skiba model and 0.6 and 3.2% for the Coggan-Modified model. For practitioners using these HIIT models, this study highlights the importance of understanding these models’ inherent limitations and mathematical assumptions to draw adequate conclusions from their use to prescribe HIIT sessions. |
first_indexed | 2024-03-10T00:31:59Z |
format | Article |
id | doaj.art-e6a901f8707a493c92108876ca95167d |
institution | Directory Open Access Journal |
issn | 2075-4663 |
language | English |
last_indexed | 2024-03-10T00:31:59Z |
publishDate | 2022-01-01 |
publisher | MDPI AG |
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series | Sports |
spelling | doaj.art-e6a901f8707a493c92108876ca95167d2023-11-23T15:24:00ZengMDPI AGSports2075-46632022-01-011011010.3390/sports10010010Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions?Jérémy Briand0Jonathan Tremblay1Guy Thibault2Institut National du Sport du Québec, 4141 Avenue Pierre-De-Coubertin, Montreal, QC H1V 3N7, CanadaÉcole de Kinésiologie et des Sciences de l’Activité Physique, Faculté de Médecine, Université de Montréal, 2100 Boulevard Édouard-Montpetit, Montreal, QC H3T 1J4, CanadaInstitut National du Sport du Québec, 4141 Avenue Pierre-De-Coubertin, Montreal, QC H1V 3N7, CanadaHigh-Intensity Interval Training (HIIT) is a time-efficient training method suggested to improve health and fitness for the clinical population, healthy subjects, and athletes. Many parameters can impact the difficulty of HIIT sessions. This study aims to highlight and explain, through logical deductions, some limitations of the Skiba and Coggan models, widely used to prescribe HIIT sessions in cycling. We simulated 6198 different HIIT training sessions leading to exhaustion, according to the Skiba and Coggan-Modified (modification of the Coggan model with the introduction of an exhaustion criterion) models, for three fictitious athlete profiles (Time-Trialist, All-Rounder, Sprinter). The simulation revealed impossible sessions (i.e., requiring athletes to surpass their maximal power output over the exercise interval duration), characterized by a few short exercise intervals, performed in the severe and extreme intensity domains, alternating with long recovery bouts. The fraction of impossible sessions depends on the athlete profile and ranges between 4.4 and 22.9% for the Skiba model and 0.6 and 3.2% for the Coggan-Modified model. For practitioners using these HIIT models, this study highlights the importance of understanding these models’ inherent limitations and mathematical assumptions to draw adequate conclusions from their use to prescribe HIIT sessions.https://www.mdpi.com/2075-4663/10/1/10critical poweranaerobic reservemodelingexercise prescriptionintermittent exercise |
spellingShingle | Jérémy Briand Jonathan Tremblay Guy Thibault Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions? Sports critical power anaerobic reserve modeling exercise prescription intermittent exercise |
title | Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions? |
title_full | Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions? |
title_fullStr | Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions? |
title_full_unstemmed | Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions? |
title_short | Can Popular High-Intensity Interval Training (HIIT) Models Lead to Impossible Training Sessions? |
title_sort | can popular high intensity interval training hiit models lead to impossible training sessions |
topic | critical power anaerobic reserve modeling exercise prescription intermittent exercise |
url | https://www.mdpi.com/2075-4663/10/1/10 |
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