Predicting running speed from a simple questionnaire.

Area of Science:

• Sports Science
• Human Physiology
• Running Performance Analysis

Background:

• Assessing athletic performance in endurance events like half marathons is crucial.
• Traditional performance metrics can be resource-intensive.
• Identifying simpler predictors of running speed is beneficial.

Purpose of the Study:

• To identify key predictors of running speed in a university half marathon.
• To evaluate the utility of Body Mass Index (BMI) and resting pulse rate as performance indicators.
• To determine if simpler measures can substitute for more complex assessments.

Main Methods:

• A cohort of 221 university half marathon competitors was studied.
• 98 participants completed a pre-race questionnaire detailing training, age, height, weight, and resting pulse.
• Multiple regression analysis was used to identify significant predictors of finishing times.

Main Results:

• Significant predictors of running speed included training volume (distance per week, training duration), Body Mass Index (BMI), and resting pulse rate.
• BMI and resting pulse rate were identified as useful predictors, particularly when training amounts were similar.
• These physiological and anthropometric measures demonstrated predictive power for running performance.

Conclusions:

• Body Mass Index and resting pulse rate are valuable and accessible measures for predicting running speed in half marathon participants.
• These factors can serve as practical substitutes for more elaborate and costly performance assessments.
• The findings support the use of simpler physiological and anthropometric data in sports science research and coaching.