Methodological approach to assess cardiovascular dynamics in elite cyclists

Area of Science:

• Sports Science
• Exercise Physiology
• Biomechanical Analysis

Background:

• Optimizing professional cycling performance requires detailed analysis of physiological responses.
• Understanding cardiovascular reactivity and power output is crucial for elite endurance athletes.
• Existing methods may not fully capture the dynamic physiological changes during prolonged, high-intensity cycling events.

Purpose of the Study:

• To introduce a novel time-series method for analyzing cardiovascular reactivity and power output in elite cyclists.
• To assess heart rate dynamics and effort intensity relative to critical power (CP) throughout monument races.
• To identify physiological markers differentiating top-tier cyclists from their peers.

Main Methods:

• Integration of power meter and heart rate data for comprehensive physiological profiling.
• Normalization of power output to critical power (CP) for standardized effort intensity assessment.
• Application of sigmoid modeling to quantify heart rate rise and cardiovascular responsiveness across race quartiles.

Main Results:

• Top 10 cyclists demonstrated significantly higher heart rate increase rates in the first quartile (Q1) (p < 0.05).
• Elite cyclists exhibited greater heart rate modulation in Q1 and Q3 compared to cyclists ranked 11-30 (p < 0.05).
• Findings indicate superior cardiovascular responsiveness and adaptability in the highest-ranked professional cyclists.

Conclusions:

• The novel time-series method provides a reliable approach to assess cardiovascular dynamics in elite cyclists.
• The method highlights key physiological differences, particularly cardiovascular responsiveness, between top-performing and other professional cyclists.
• This reproducible R-based methodology can inform training strategies for coaches and sports scientists, with potential applications in other endurance sports.