Strength as a Predictor of Aerobic Power in Competitive Cyclists: National Team Insights

Maximal aerobic power and time-to-exhaustion at maximal aerobic power are critical for cycling performance, yet the role of maximal lower-body strength in enhancing these metrics across sex, category, and discipline in cyclists remains underexplored. This study investigated the relationships between 1RM, maximal aerobic power, and time-to-exhaustion at maximal aerobic power in 69 high-level and professional cyclists from the same national team, stratified by sex, category, and discipline. Cyclists underwent a 2-day protocol to assess maximal aerobic power via a graded exercise test, time-to-exhaustion at maximal aerobic power, and 1RM via a velocity-based parallel back squat test. Spearman correlations, mixed models, generalized additive models, structural equation modeling, and cluster analysis examined strength-performance relationships, adjusted for covariates. 1RM strongly predicted maximal aerobic power (<i>r</i>=0.73, <i>β</i>=0.86, <i>p</i><0.001; 2.47 W increase per kg) and relative 1RM predicted maximal aerobic power relative to body mass nonlinearly (<i>r</i>=0.58, <i>β</i>=0.84, <i>p</i><0.001). Time-to-exhaustion showed no significant strength association (<i>p</i>>0.05). Women exhibited lower maximal aerobic power (-71.67 W, <i>p</i><0.001), mountain bike cyclists showed longer time-to-exhaustion (+0.61 standard deviation, <i>p</i>=0.049), and elite cyclists had higher maximal aerobic power (+21.51 W, <i>p</i>=0.030), reflecting physiological and discipline-specific differences. Clusters highlighted strength-power distinctions. These findings demonstrate that maximal strength is associated with maximal aerobic power but not time-to-exhaustion, with associations varying according to sex, discipline, and category.

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Journal
International Journal of Sports Medicine
Published
2025-09-16
DOI
https://doi.org/10.1055/a-2702-4879
Primary Topic
Sports Performance and Training
Type
article
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article

Strength as a Predictor of Aerobic Power in Competitive Cyclists: National Team Insights

Manuel Moya‐Ramón, José-Antonio Salas-Montoro, Manuel Mateo‐March, Cristóbal Sánchez‐Muñoz et al.
International Journal of Sports Medicine
Sports Performance and Training
article

Strength as a Predictor of Aerobic Power in Competitive Cyclists: National Team Insights

Manuel Moya‐Ramón, José-Antonio Salas-Montoro, Manuel Mateo‐March, Cristóbal Sánchez‐Muñoz, Alejandro Javaloyes
article en

Abstract

Maximal aerobic power and time-to-exhaustion at maximal aerobic power are critical for cycling performance, yet the role of maximal lower-body strength in enhancing these metrics across sex, category, and discipline in cyclists remains underexplored. This study investigated the relationships between 1RM, maximal aerobic power, and time-to-exhaustion at maximal aerobic power in 69 high-level and professional cyclists from the same national team, stratified by sex, category, and discipline. Cyclists underwent a 2-day protocol to assess maximal aerobic power via a graded exercise test, time-to-exhaustion at maximal aerobic power, and 1RM via a velocity-based parallel back squat test. Spearman correlations, mixed models, generalized additive models, structural equation modeling, and cluster analysis examined strength-performance relationships, adjusted for covariates. 1RM strongly predicted maximal aerobic power (<i>r</i>=0.73, <i>β</i>=0.86, <i>p</i><0.001; 2.47 W increase per kg) and relative 1RM predicted maximal aerobic power relative to body mass nonlinearly (<i>r</i>=0.58, <i>β</i>=0.84, <i>p</i><0.001). Time-to-exhaustion showed no significant strength association (<i>p</i>>0.05). Women exhibited lower maximal aerobic power (-71.67 W, <i>p</i><0.001), mountain bike cyclists showed longer time-to-exhaustion (+0.61 standard deviation, <i>p</i>=0.049), and elite cyclists had higher maximal aerobic power (+21.51 W, <i>p</i>=0.030), reflecting physiological and discipline-specific differences. Clusters highlighted strength-power distinctions. These findings demonstrate that maximal strength is associated with maximal aerobic power but not time-to-exhaustion, with associations varying according to sex, discipline, and category.

International Journal of Sports Medicine
Universitat de Miguel Hernández d'Elx (ES), University of Alicante (ES), Universidad de Granada (ES)
Openalex Percentile: Top 67%
Sports Performance and Training
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