Predicting Marathon Time Using Exhaustive Graded Exercise Test in Marathon Runners

Area of Science:

• Sports Science
• Exercise Physiology
• Running Performance Analysis

Background:

• Marathon running is a popular endurance event with a growing participant base.
• Accurate prediction of marathon performance time (MPT) is valuable for training and race strategy.
• Existing prediction methods may lack accessibility or cost-effectiveness for many athletes.

Purpose of the Study:

• To investigate the correlation between graded exercise treadmill test exhaustion time and subsequent marathon performance time (MPT).
• To develop a simple, accessible, and cost-effective method for predicting MPT.
• To determine if factors like sex, weekly running duration, years of running, or age influence MPT prediction.

Main Methods:

• Recruited 59 marathon runners participating in major marathons.
• Administered a graded exercise treadmill test to exhaustion.
• Collected data on treadmill exhaustion time and official marathon performance time (MPT) for 42.2 km races.
• Utilized statistical analysis to identify correlations and develop a predictive model.

Main Results:

• A statistically significant correlation was found between treadmill exhaustion time and MPT (adjusted R(2) = 0.447).
• Sex, weekly running duration, years of running, and age did not show a statistically significant correlation with MPT.
• A predictive equation (y = -3.85x + 351.57) was established, where y is MPT and x is treadmill time.

Conclusions:

• Treadmill exhaustion time is a significant predictor of marathon performance time.
• The developed predictive model offers a simple, accessible, and cost-effective tool for athletes.
• This method can assist the global population of marathon runners in predicting race times.