The Relationship between Physiological Characteristics and Durability in Male Professional Cyclists
James Spragg1, Peter Leo2, Jeroen Swart1
1HPALS, Department of Human Biology, Faculty of Health Sciences, University of Cape Town, Cape Town, SOUTH AFRICA.
Medicine and Science in Sports and Exercise
|August 17, 2022
Summary
Laboratory measures can predict cycling durability in professional athletes. Key physiological factors like peak power and oxygen uptake are strong indicators of a cyclist's ability to sustain performance under fatigue.
Area of Science:
- Exercise Physiology
- Sports Science
- Cycling Performance Analysis
Background:
- Understanding the physiological determinants of endurance performance is crucial for optimizing training in elite athletes.
- Durability, or the ability to maintain power output under fatigue, is a key component of success in professional cycling.
- Predicting durability from laboratory assessments can aid in talent identification and personalized training program design.
Purpose of the Study:
- To investigate the relationship between laboratory-derived physiological measures and cycling durability in professional cyclists.
- To determine if key performance indicators measured in a lab setting can predict a cyclist's ability to sustain effort after fatigue induction.
Main Methods:
- Ten professional cyclists underwent laboratory testing, including a critical power (CP) test, repeated under fatigued conditions.
- A novel fatiguing protocol was employed before the second CP test to induce a fatigued state, measuring delta CP (∆CP).
- Pearson correlation and multiple linear regression analyses were used to assess relationships between laboratory measures and ∆CP.
Main Results:
- Significant positive correlations were observed between ∆CP and relative peak power output, maximal oxygen uptake, and power output at ventilatory thresholds.
- Gross cycling efficiency at various power outputs also showed significant positive relationships with ∆CP.
- A multiple linear regression model indicated that laboratory measures could predict ∆CP with high accuracy (R² = 0.96–0.98).
Conclusions:
- Physiological markers such as peak power, VO2max, and ventilatory thresholds are significant predictors of cycling durability.
- Laboratory-based assessments can effectively predict a professional cyclist's capacity to maintain performance when fatigued.
- These findings highlight the physiological underpinnings of durability in elite cyclists.
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