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

• Autores: Mark Waldron, Adrian J. Gray, Nicola Furlan, Aron J. Murphy
• Localización: Journal of strength and conditioning research: the research journal of the NSCA, ISSN 1064-8011, Vol. 30, Nº. 8, 2016, págs. 2299-2306
• Idioma: inglés
• Texto completo no disponible (Saber más ...)
• Resumen

  • 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 (R2 = 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 (R2 = 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.