The relationship between the moderate–heavy boundary and critical speed in running

Purpose: Training characteristics such as duration, frequency, and intensity can be manipulated to optimize endurance performance, with an enduring interest in the role of training-intensity distribution to enhance training adaptations. Training intensity is typically separated into 3 zones, which...

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Main Authors: Hunter, Ben, Meyler, Samuel, Maunder, Ed, Cox, Tobias H., Muniz-Pumares, Daniel
Format: Article
Language:English
Published: Human Kinetics 2024
Subjects:
Online Access:https://repository.londonmet.ac.uk/9623/1/Relationship-between-the-moderate-heavy-boundary-and-critical-speed-in-running.pdf
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author Hunter, Ben
Meyler, Samuel
Maunder, Ed
Cox, Tobias H.
Muniz-Pumares, Daniel
author_facet Hunter, Ben
Meyler, Samuel
Maunder, Ed
Cox, Tobias H.
Muniz-Pumares, Daniel
author_sort Hunter, Ben
collection LMU
description Purpose: Training characteristics such as duration, frequency, and intensity can be manipulated to optimize endurance performance, with an enduring interest in the role of training-intensity distribution to enhance training adaptations. Training intensity is typically separated into 3 zones, which align with the moderate-, heavy-, and severe-intensity domains. While estimates of the heavy- and severe-intensity boundary, that is, the critical speed (CS), can be derived from habitual training, determining the moderate–heavy boundary or first threshold (T1) requires testing, which can be costly and time-consuming. Therefore, the aim of this review was to examine the percentage at which T1 occurs relative to CS. Results: A systematic literature search yielded 26 studies with 527 participants, grouped by mean CS into low (11.5 km·h−1; 95% CI, 11.2–11.8), medium (13.4 km·h−1; 95% CI, 11.2–11.8), and high (16.0 km·h−1; 95% CI, 15.7–16.3) groups. Across all studies, T1 occurred at 82.3% of CS (95% CI, 81.1–83.6). In the medium- and high-CS groups, T1 occurred at a higher fraction of CS (83.2% CS, 95% CI, 81.3–85.1, and 84.2% CS, 95% CI, 82.3–86.1, respectively) relative to the low-CS group (80.6% CS, 95% CI, 78.0–83.2). Conclusions: The study highlights some uncertainty in the fraction of T1 relative to CS, influenced by inconsistent approaches in determining both boundaries. However, our findings serve as a foundation for remote analysis and prescription of exercise intensity, although testing is recommended for more precise applications.
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spelling oai:repository.londonmet.ac.uk:96232024-08-27T10:55:54Z https://repository.londonmet.ac.uk/9623/ The relationship between the moderate–heavy boundary and critical speed in running Hunter, Ben Meyler, Samuel Maunder, Ed Cox, Tobias H. Muniz-Pumares, Daniel 790 Recreational & performing arts Purpose: Training characteristics such as duration, frequency, and intensity can be manipulated to optimize endurance performance, with an enduring interest in the role of training-intensity distribution to enhance training adaptations. Training intensity is typically separated into 3 zones, which align with the moderate-, heavy-, and severe-intensity domains. While estimates of the heavy- and severe-intensity boundary, that is, the critical speed (CS), can be derived from habitual training, determining the moderate–heavy boundary or first threshold (T1) requires testing, which can be costly and time-consuming. Therefore, the aim of this review was to examine the percentage at which T1 occurs relative to CS. Results: A systematic literature search yielded 26 studies with 527 participants, grouped by mean CS into low (11.5 km·h−1; 95% CI, 11.2–11.8), medium (13.4 km·h−1; 95% CI, 11.2–11.8), and high (16.0 km·h−1; 95% CI, 15.7–16.3) groups. Across all studies, T1 occurred at 82.3% of CS (95% CI, 81.1–83.6). In the medium- and high-CS groups, T1 occurred at a higher fraction of CS (83.2% CS, 95% CI, 81.3–85.1, and 84.2% CS, 95% CI, 82.3–86.1, respectively) relative to the low-CS group (80.6% CS, 95% CI, 78.0–83.2). Conclusions: The study highlights some uncertainty in the fraction of T1 relative to CS, influenced by inconsistent approaches in determining both boundaries. However, our findings serve as a foundation for remote analysis and prescription of exercise intensity, although testing is recommended for more precise applications. Human Kinetics 2024-09-01 Article PeerReviewed text en https://repository.londonmet.ac.uk/9623/1/Relationship-between-the-moderate-heavy-boundary-and-critical-speed-in-running.pdf Hunter, Ben, Meyler, Samuel, Maunder, Ed, Cox, Tobias H. and Muniz-Pumares, Daniel (2024) The relationship between the moderate–heavy boundary and critical speed in running. International Journal of Sports Physiology and Performance, 19 (9). pp. 963-972. ISSN 1555-0273 https://doi.org/10.1123/ijspp.2024-0101 10.1123/ijspp.2024-0101 10.1123/ijspp.2024-0101
spellingShingle 790 Recreational & performing arts
Hunter, Ben
Meyler, Samuel
Maunder, Ed
Cox, Tobias H.
Muniz-Pumares, Daniel
The relationship between the moderate–heavy boundary and critical speed in running
title The relationship between the moderate–heavy boundary and critical speed in running
title_full The relationship between the moderate–heavy boundary and critical speed in running
title_fullStr The relationship between the moderate–heavy boundary and critical speed in running
title_full_unstemmed The relationship between the moderate–heavy boundary and critical speed in running
title_short The relationship between the moderate–heavy boundary and critical speed in running
title_sort relationship between the moderate heavy boundary and critical speed in running
topic 790 Recreational & performing arts
url https://repository.londonmet.ac.uk/9623/1/Relationship-between-the-moderate-heavy-boundary-and-critical-speed-in-running.pdf
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