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Predicting the Sprint Performance of Adolescent Track Cyclists Using the 3-Minute All-out Test

Mark Waldron Orcid Logo, Adrian Gray, Nicola Furlan, Aron Murphy

Journal of Strength and Conditioning Research, Volume: 30, Issue: 8, Pages: 2299 - 2306

Swansea University Author: Mark Waldron Orcid Logo

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DOI (Published version): 10.1519/JSC.0000000000001311

Abstract

This study aimed to predict 500-m time trial (TT) and 2,000-m pursuit speed of adolescent cyclists (age range = 13–15 years) using mechanical parameters derived from a critical power (CP) test and anthropometric variables. Ten well-trained competitive cyclists were assessed for body composition, bod...

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Published in: Journal of Strength and Conditioning Research
ISSN: 1064-8011
Published: Wolters Kluwer 2016
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URI: https://cronfa.swan.ac.uk/Record/cronfa51599
Abstract: This study aimed to predict 500-m time trial (TT) and 2,000-m pursuit speed of adolescent cyclists (age range = 13–15 years) using mechanical parameters derived from a critical power (CP) test and anthropometric variables. Ten well-trained competitive cyclists were assessed for body composition, body mass, stature, and frontal surface area (FSA), as well as completing the CP test. The personal best speed (km·h−1) of each rider during competition in 500-m TT and 2,000-m pursuit races was predicted based on the CP test data and anthropometric profiles using multiple regression analysis. A combination of the CP·FSA−1 and internal (predicted) to external work ratio performed by the cyclists (Wint:Wext) predicted 500-m TT speed (R 2 = 0.97; standard error of the estimate (SEE) = 0.82, P ≤ 0.001), whereas a combination of mean power·FSA−1 (mean power) and body fat percentage predicted 2,000-m pursuit speed (R 2 = 0.90; SEE = 1.5, P < 0.001). Between 90 and 97% of the variance in the sprint performance of adolescent cyclists can be explained by mechanical and anthropometric parameters, derived from a single visit to the laboratory. The tests and equations provided can be adopted by coaches to predict performance and set appropriate training intensities.
Keywords: anthropometry; children; critical power; cycling; time trials
College: Faculty of Science and Engineering
Issue: 8
Start Page: 2299
End Page: 2306

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