Time to exhaustion at estimated functional threshold power in road cyclists of different performance levels

Objectives: This study assessed the functional threshold power and the time to exhaustion estimated from the Allen & Coggan test and verify whether performance level has an influence on this parameter. Design: Cross-sectional study. Methods: Twenty-minute test proposed by Allen & Coggan and...

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Detalles Bibliográficos
Autores: Sitko, Sebastian, Cirer-Sastre, Rafel, López Laval, Isaac
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/84377
Acceso en línea:https://doi.org/10.1016/j.jsams.2022.06.007
http://hdl.handle.net/10459.1/84377
Access Level:acceso abierto
Palabra clave:Endurance
Physiology
Cycling
Power meter
Descripción
Sumario:Objectives: This study assessed the functional threshold power and the time to exhaustion estimated from the Allen & Coggan test and verify whether performance level has an influence on this parameter. Design: Cross-sectional study. Methods: Twenty-minute test proposed by Allen & Coggan and cycling test to exhaustionwere used to obtain the functional threshold power and a time to exhaustion. Cyclistswere divided into performance groups based into 4 categories according to their VO2max. Results: The median (interquartile range) time to exhaustion at the functional threshold power was 35 (31–38) minutes for recreationally trained cyclists, 42 (38–51) for trained ones, 47 (41–56) for well-trained ones and 51 (44–59) for professional level cyclists. Time to exhaustion increased with cyclists' experience and performance level (p < 0.001). Conclusions: The high time to exhaustion variability observed in this study suggests that functional threshold power and time to exhaustion should be assessed and reported independently for each subject. Also, cyclists' performance level and experience should be factored inwhen attempting to study the time to exhaustion, as better performing andmore experienced cyclists consistently show longer times to exhaustion at the functional threshold power.