Predictive Variables of Half-Marathon Performance for Male Runners

Area of Science:

• Sports Science
• Exercise Physiology
• Running Performance Analysis

Background:

• Accurate prediction of endurance running performance is crucial for effective training program design.
• Existing predictive models for half-marathon performance often lack comprehensive validation or integration of diverse physiological and biomechanical factors.

Purpose of the Study:

• To establish and validate novel predictive equations for estimating male half-marathon running performance.
• To assess the predictive accuracy of equations based on training, anthropometric, physiological, and biomechanical variables.
• To compare the predictive power of these new equations against previous models.

Main Methods:

• Seventy-eight male half-marathon runners were divided into two phases: equation establishment (n=48) and validation (n=30).
• Data collected included anthropometric measurements, training history, and physiological/biomechanical variables from an incremental treadmill test (VO2max, anaerobic threshold, peak speed, contact/flight times, step length/rate).
• Multiple regression analysis was used to develop predictive equations, which were then validated using correlation analysis in the second phase.

Main Results:

• Predictive equations achieved high accuracy: 90.3% (training/anthropometry), 94.9% (physiological), 93.7% (biomechanical), and 96.2% (general equation).
• Validation phase showed significant correlations between predicted and actual half-marathon times (r=0.78 to 0.95).
• The developed equations demonstrated superior predictive performance compared to previous studies.

Conclusions:

• The established and validated equations provide a highly accurate and practical method for predicting half-marathon performance in male runners.
• These models offer a multi-faceted approach, integrating various performance-related variables for enhanced prediction.
• The findings support the practical application of these equations in sports science for optimizing training and performance strategies.