Five-Minute Power-Based Test to Predict Maximal Oxygen Consumption in Road Cycling

Area of Science:

• Sports Science
• Exercise Physiology
• Biometrics

Background:

• Maximal oxygen consumption (VO2max) is a key indicator of aerobic fitness in athletes.
• Accurate prediction of VO2max is crucial for training prescription and performance evaluation.
• Traditional VO2max assessments often require extensive laboratory equipment and time.

Purpose of the Study:

• To evaluate a multivariate model for predicting VO2max using 5-minute maximal test (5MT) performance data.
• To determine the efficacy of a simplified prediction model for VO2max in road cyclists.
• To explore the potential reduction in laboratory assessment requirements for athletes.

Main Methods:

• Forty-six road cyclists underwent graded exercise testing for VO2max and power output determination.
• Participants performed a subsequent 5-minute maximal test (5MT).
• Bayesian general linear regressions and stepwise selection were employed to model and predict VO2max using performance variables from both tests.

Main Results:

• Five-minute relative power output emerged as the strongest predictor of VO2max in both graded exercise test and 5MT models.
• The predictive power for VO2max using 5MT data showed a R2 credibility interval of .61-.77.
• A validated equation was established: VO2max = 16.6 + (8.87 × 5-min relative power output).

Conclusions:

• VO2max in road cyclists can be reliably predicted using a single-variable equation based on relative power from a 5MT.
• This simplified prediction method offers a practical alternative to laboratory-based assessments.
• Coaches, athletes, and researchers can benefit from reduced testing demands and streamlined performance evaluation.