ReviewEuropean journal of applied physiology2025
Enhancing endurance performance predictions: the role of movement velocity in metabolic simulations demonstrated by cycling cadence.
Review in European journal of applied physiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Optimizing Metabolic Assessment: Maximal Fat Metabolism, Lactate Dynamics, and Cardiorespiratory Determinants at Different Pedaling Frequencies.Journal of diabetes research · 2026Trial
- Maximal glycolytic flux modulates metabolic thresholds independent of maximal oxygen uptake.European journal of applied physiology · 2026Article
- Mathematical Comparison of Time-Based and Stroke-Based Fatigue Models in Elite Sprint Cycling: Convergence Analysis and Practical Applications.Scandinavian journal of medicine & science in sports · 2026Article
- Maximal lactate accumulation rate (European journal of applied physiology · 2026Review
- Baseline functional oxygen uptake gain as a prognostic factor of center-based exercise responding in well-functioning older adults.European journal of physical and rehabilitation medicine · 2025Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMader's mathematical model, widely employed for endurance performance prediction, aims to accurately represent metabolic response to exercise. However, it traditionally overlooks dynamic changes in metabolic processes at varying movement velocities.
methodsThis narrative review examined the effect of cycling cadence on its key input parameters, including oxygen demand per Watt (
resultsA U-shaped relationship was found between cadence and both
conclusionNeglecting dynamic changes in metabolic processes across different movement velocities can lead to inaccurate modelling results. Incorporating cadence alongside established parameters enhances the precision of Mader's metabolic model for cycling performance prediction.
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Registered trials
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