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Running Critical Power: A Comparison Of Different Theoretical Models
Santiago A Ruiz-Alias1, Alberto A Ñancupil-Andrade2, Alejandro Pérez-Castilla3
1Department of Physical Education and Sport, University of Granada, Granada, Spain.
International Journal of Sports Medicine
|September 29, 2023
Summary
Different critical power (CP) models significantly impact work capacity over CP (W´) calculations in athletes. Only the work-time and power-1/time CP models accurately predicted time to exhaustion, highlighting their utility in exercise physiology.
Area of Science:
- Exercise Physiology
- Sports Science
- Biomechanical Analysis
Background:
- Critical Power (CP) and work capacity over CP (W´) are key physiological metrics for assessing endurance performance.
- Various computational models exist for determining CP and W´, implemented in popular analysis software.
- Understanding the discrepancies between these models is crucial for accurate physiological assessment and training prescription.
Purpose of the Study:
- To compare critical power (CP) and work capacity over CP (W´) values derived from different analytical software models.
- To determine the placement of CP values within the power-duration curve (PDC).
- To assess the influence of the chosen CP model on the W´ balance and its predictive accuracy for time to exhaustion.
Main Methods:
- Fifteen trained athletes completed multiple time trials (3, 5, 10, 20 minutes) to establish their power-duration curve (PDC).
- CP and W´ were calculated using five distinct models: work-time (CPwork), power-1/time (CP1/time), Morton hyperbolic (CPhyp), Stryd platform (CPstryd), and Golden Cheetah (CPCheetah).
- Additional time trials (30, 60 minutes, and 4 minutes) were conducted to validate CP placement on the PDC and the W´ balance model.
Main Results:
- Significant differences (p<0.001) were observed in estimated CP and W´ parameters across all models.
- CPCheetah correlated with power output between 10-20 minutes, while CP1/time, CPstryd, CPwork, and CPhyp showed varying associations.
- The W´ from three-parameter models overestimated time to exhaustion; only CPwork and CP1/time models provided valid predictions (p≥0.240).
Conclusions:
- The selection of a critical power model significantly influences the calculated W´ and its physiological interpretation.
- The work-time and power-1/time models demonstrated superior validity in predicting time to exhaustion compared to other tested models.
- These findings underscore the importance of model selection for accurate physiological profiling and exercise prescription in trained athletes.
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