Int J Sports Med
DOI: 10.1055/a-2702-4879
Training & Testing

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

Authors

  • Alejandro Javaloyes

    1   Department of Sport Sciences, Sports Research Center, Universidad Miguel Hernández de Elche, Elche, Spain (Ringgold ID: RIN16753)
  • Cristóbal Sánchez-Muñoz

    2   Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain (Ringgold ID: RIN16741)
  • José-Antonio Salas-Montoro

    2   Department of Physical Education and Sport, Faculty of Sport Sciences, University of Granada, Granada, Spain (Ringgold ID: RIN16741)
  • José Ramón Lillo-Bevia

    3   Escuela Politécnica Superior, University of Alicante, Alicante, Spain (Ringgold ID: RIN16753)
  • Manuel Moya-Ramón

    1   Department of Sport Sciences, Sports Research Center, Universidad Miguel Hernández de Elche, Elche, Spain (Ringgold ID: RIN16753)
  • Manuel Mateo-March

    1   Department of Sport Sciences, Sports Research Center, Universidad Miguel Hernández de Elche, Elche, Spain (Ringgold ID: RIN16753)

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 (r=0.73, β=0.86, p<0.001; 2.47 W increase per kg) and relative 1RM predicted maximal aerobic power relative to body mass nonlinearly (r=0.58, β=0.84, p<0.001). Time-to-exhaustion showed no significant strength association (p>0.05). Women exhibited lower maximal aerobic power (−71.67 W, p<0.001), mountain bike cyclists showed longer time-to-exhaustion (+0.61 standard deviation, p=0.049), and elite cyclists had higher maximal aerobic power (+21.51 W, p=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.



Publication History

Received: 10 June 2025

Accepted after revision: 15 September 2025

Accepted Manuscript online:
16 September 2025

Article published online:
13 November 2025

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