An Accurate VO2max Nonexercise Regression Model for 18–65-Year-Old Adults

Authors: Bradshaw, Danielle I.; George, James D.; Hyde, Annette; LaMonte, Michael J.; Vehrs, Pat R.; Hager, Ronald L.; Yanowitz, Frank G.

Source: Research Quarterly for Exercise and Sport, 1 December 2005, vol. 76, no. 4, pp. 426-432(7)


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The purpose of this study was to develop a regression equation to predict maximal oxygen uptake (VO2max) based on nonexercise (N-EX) data. All participants (N = 100), ages 18–65 years, successfully completed a maximal graded exercise test (GXT) to assess VO2max (M = 39.96 mL·kg−1·min−1, SD = 9.54). The N-EX data collected just before the maximal GXT included the participant's age; gender; body mass index (BMI); perceived functional ability (PFA) to walk, jog, or run given distances; and current physical activity (PA-R) level. Multiple linear regression generated the following N-EX prediction equation (R = .93, SEE = 3.45 mL·kg−1·min−1, % SEE = 8.62): VO2max (mL·kg−1·min−1) = 48.0730 + (6.1779 × gender; women = 0, men = 1) − (0.2463 × age) − (0.6186 × BMI) + (0.7115 × PFA) + (0.6709 × PA-R). Cross validation using PRESS (predicted residual sum of squares) statistics revealed minimal shrinkage (Rp = .91 and SEEp = 3.63 mL·kg−1·min−1); thus, this model should yield acceptable accuracy when applied to an independent sample of adults (ages 18–65 years) with a similar cardiorespiratory fitness level. Based on standardized -weights, the PFA variable (0.41) was the most effective at predicting VO2max followed by age (−0.34), gender (0.33), BMI (−0.27), and PA-R (0.16). This study provides a N-EX regression model that yields relatively accurate results and is a convenient way to predict VO2max in adult men and women.


Document Type: Research Article

Publication date: December 1, 2005


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