The purposes of this study were to determine the accuracy of the MET values on theNuStep Recumbent Stepper console compared to measured values, and if they weredifferent, develop a regression equation to more accurately predict MET values on theNuStep across a wide range of workloads. Fitty male and female volunteers (meanage = 63.6 + 9.61 years) with known cardiac disease or significant risk factors forCAD served as Ss. All Ss completed 1 submaximal test on the NuStep beginning ateither 25 or 50 watts and increasing by 25-50 watts per stage. Each stage was 5 minin duration and VO,(METS) and HR were recorded each minute. It was found thatMET levels on the NuStep ovcrpredicted the measured MET values by 44-73%.Based on these findings, the following regression equation was developed using astepwise multiple regression technique.Predicted METS = (4.927 + 6.47 (weight in kg) + .03245 (watts2)}/(weight in kg * 3.5)The new equation had a R = .92, R2 = .84, SEE = -62 METS. Thus, this new equationshould provide more accurate estimation of MET values on the NuStep, especially foran older cardiac population.
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Evaluation of MET values on the NuStep 4000 recumbent stepper