title: Predicting the Sprint Performance of Adolescent Track Cyclists Using the 3-Minute All-out Test.
abstract: Waldron, M, Gray, A, Furlan, N, and Murphy, A. Predicting the sprint performance of adolescent track cyclists using the 3-minute all-out test. J Strength Cond Res 30(8): 2299-2306, 2016-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) 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 and internal (predicted) to external work ratio performed by the cyclists (Wint:Wext) predicted 500-m TT speed (R = 0.97; standard error of the estimate (SEE) = 0.82, P ≤ 0.001), whereas a combination of mean power·FSA (mean power) and body fat percentage predicted 2,000-m pursuit speed (R = 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.
authors.affiliation: 1School of Sport, Health and Applied Science, St Mary's University, Twickenham, United Kingdom; and 2Department of Exercise and Sport Science, School of Science and Technology, University of New England, Armidale, Australia.
authors.forename: Mark
authors.initials: M
authors.lastname: Waldron
authors.forename: Adrian
authors.initials: A
authors.lastname: Gray
authors.forename: Nicola
authors.initials: N
authors.lastname: Furlan
authors.forename: Aron
authors.initials: A
authors.lastname: Murphy
mesh_terms: D000293:Adolescent; D000886:Anthropometry; D054874:Athletic Performance / Q000502:physiology*; D001642:Bicycling / Q000502:physiology*; D005080:Exercise Test / Q000379:methods*; D005260:Female; D006801:Humans; D016014:Linear Models; D008297:Male