Enhancing endurance performance predictions: the role of movement velocity in metabolic simulations demonstrated by cycling cadence

BACKGROUND: Mader'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. METHODS: ). RESULTS: improved alignment between model predictions and empirical data. CONCLUSION: Neglecting 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.