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The aim of the present study was to verify the basic principles underlying the prediction of VO2 peak from a submaximal exercise test performed by paraplegics on a wheelchair ergometer and thus to propose regression equations of VO2 peak prediction. Forty-six paraplegic subjects (mean age = 33.2 +/- 8.7 years) with a traumatic lesion (T1-L3) performed a graded exercise test on a wheelchair ergometer until exhaustion. The test started with an initial workload of 0 watts, with an increment of 6 watts per 2 minutes. Measurements included power output (W), heart rate (HR) and oxygen consumption (VO2) throughout the test. Linear relationships were observed between VO2 and W (VO2 = 0.79 + 0.02 W, r = 0.80, SEE = 0.22 l min-1) as well as between %VO2 max and % maximal heart rate (% VO2 max = 8.7 + 0.83 %HR, r = 0.83 SEE = 10.5%). Combination of the two equations for estimating VO2 peak led to a linear relationship between the estimated and measured VO2 peak. Nonetheless, the strength and accuracy of the prediction were low (r = 0.49, SEE = 0.29 l min-1). Participation in aerobic exercise, body mass and lean body mass, introduced as correction factors in the regression equation, significantly improved the strength and the accuracy of the prediction (r = 0.85, SEE = 0.29 l min-1).(ABSTRACT TRUNCATED AT 250 WORDS)

Prediction of maximal aerobic power from a submaximal exercise test performed by paraplegics on a wheelchair ergometer