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Non-exercise VO2max estimation for physically active college students

J D George1, W J Stone, L N Burkett

  • 1Department of Exercise Science and Physical Education, Arizona State University, Tempe 85287, USA. jim_george@byu.edu

Medicine and Science in Sports and Exercise
|March 1, 1997
PubMed
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A new regression model accurately predicts maximal oxygen consumption (VO2max) using only non-exercise variables like perceived functional ability and BMI. This convenient method offers a valid alternative to exercise-based predictions for physically active college students.

Area of Science:

  • Exercise Physiology
  • Sports Science
  • Biometrics

Background:

  • Maximal oxygen consumption (VO2max) is a key indicator of cardiorespiratory fitness.
  • Traditional VO2max assessment requires laboratory testing, limiting accessibility.
  • Developing non-exercise-based prediction models is crucial for widespread application.

Purpose of the Study:

  • To develop and validate a novel regression model for predicting VO2max using solely self-reported non-exercise (N-EX) variables.
  • To assess the predictive accuracy of N-EX variables, including perceived functional ability (PFA), physical activity (PA-R), body mass index (BMI), and gender.
  • To compare the performance of the N-EX model against existing exercise-based VO2max prediction models.

Main Methods:

  • Recruited 100 physically active college students (50% female, 50% male, aged 18-29).

Related Experiment Videos

  • Measured criterion VO2max using treadmill protocol and open-circuit calorimetry.
  • Developed N-EX regression model using questionnaire data on PFA, PA-R, BMI, and gender.

    • Main Results:

    • The N-EX regression model achieved a high predictive accuracy (R = 0.85, SEE = 3.44 ml.kg-1.min-1).
    • Cross-validation confirmed model stability with minimal shrinkage (R = 0.84, SEE = 3.60 ml.kg-1.min-1).
    • Perceived functional ability significantly contributed to VO2max variance (squared partial r2 = 0.155, P < 0.0001), enhancing prediction.

    Conclusions:

    • A questionnaire-based N-EX regression model provides a valid and convenient method for predicting VO2max in physically active college students.
    • This N-EX model demonstrates comparable accuracy to many exercise-based prediction models.
    • The inclusion of perceived functional ability significantly improves the predictive power of non-exercise models.