Predicting maximal oxygen uptake from a 3-minute progressive knee-ups and step test

Area of Science:

• Exercise Physiology
• Cardiorespiratory Fitness Assessment
• Biomedical Engineering

Background:

• Cardiorespiratory fitness is vital for health risk assessment and intervention evaluation.
• Direct measurement of maximal oxygen uptake (V̇O₂ max) is accurate but lab-dependent.
• The 3-minute progressive knee-up and step (3MPKS) test was explored as a field-based V̇O₂ max estimation method.

Purpose of the Study:

• To investigate the efficacy of the 3MPKS test for estimating peak oxygen uptake (V̇O₂ max).
• To develop and validate a predictive model for V̇O₂ max using the 3MPKS test and participant characteristics.

Main Methods:

• 166 healthy adults underwent both a V̇O₂ max test and a 3MPKS test.
• A multivariate regression model incorporated predictors like sex, age, BMI, body fat percentage (BF%), and heart rates (HR0-HR4) during the step test.
• Model accuracy was evaluated using correlation coefficient (R) and standard error of estimate (SEE).

Main Results:

• The BF% model showed a significant correlation between predicted and actual V̇O₂ max (R = 0.624, SEE = 4.982).
• The BMI model also showed correlation (R = 0.567, SEE = 5.153), but BF% was more accurate.
• Key predictors for V̇O₂ max estimation included sex, age, BF%, resting heart rate, and heart rate changes during the test.

Conclusions:

• A validated model using the 3MPKS test can predict V̇O₂ max in Taiwanese adults.
• The model incorporates easily measurable parameters: sex, age, body composition, and heart rate dynamics.
• The 3MPKS test shows promise for widespread use in epidemiological research for V̇O₂ max and health parameter measurement.