Prediction of Vo2Peak Using OMNI Ratings of Perceived Exertion from a Submaximal Cycle Exercise Test

The primary aim of this study was to develop statistical models to predict peak oxygen consumption (VO2peak) using OMNI Ratings of Perceived Exertion measured during submaximal cycle ergometry. Male (M= 20.9 yr., SE= 0.4) and female (M= 21.6 yr., SE= 0.5) participants (N= 81) completed a load-incremented maximal cycle ergometer exercise test. Simultaneous multiple linear regression was used to develop separate VO2peak statistical models using submaximal ratings of perceived exertion for the overall body, legs, and chest/breathing as predictor variables. VO2peak (L·min−1) predicted for men and women from ratings of perceived exertion for the overall body (3.02±0.06; 2.03±0.04), legs (3.02±0.06; 2.04±0.04), and chest/breathing (3.02±0.05; 2.03±0.03) were similar to measured VO2peak (3.02 ± 0.10; 2.03 ± 0.06, ps > .05). Statistical models based on submaximal OMNI Ratings of Perceived Exertion provide an easily administered and accurate method to predict VO2peak.