Predictors of cycling performance success: Traditional approaches and a novel method to assess performance capacity in U23 road cyclists

Autor: Peter, Leo, James, Spragg, John, Wakefield, Jeroen, Swart
Rok vydání: 2023
Předmět:
Zdroj: Journal of Science and Medicine in Sport. 26:52-57
ISSN: 1440-2440
DOI: 10.1016/j.jsams.2022.11.005
Popis: This study aimed to investigate predictors of cycling performance in U23 cyclists by comparing traditional approaches to a novel method - the compound score. Thirty male U23 cyclists (N = 30, age 20.1 ± 1.1 yrs, body mass 69.0 ± 6.9 kg, height 182.6 ± 6.2 cm, V̇OPower output information was derived from laboratory and field-testing during pre-season and mean maximal power outputs (MMP) from racing season. Absolute and relative 5-min MMP, 5-min MMP after 2000 kJ (MMPPositive and negative predictive values were calculated for all significant performance variables for the likelihood of a podium performance.The absolute 5-min MMP of the field test revealed the highest negative predictive capacity (82.4%, p = 0.012) for a podium performance. The compound score of the 5-min MMPCollectively the results of the present study reveal that the compound score, alongside absolute power, was able to predict the highest positive and average likelihood for a podium performance. These findings can help to better understand performance capacity from field data to predict future cycling success.
Databáze: OpenAIRE
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