Abstract
This study aimed to develop prediction equations for maximum oxygen uptake (VO2max) based on non-exercise (anthropometric) and submaximal exercise (anthropometric and physiological) variables in paraplegic men with a spinal cord injury. All participants were tested on an arm ergometer using a maximal graded exercise test. Anthropometric variables such as age, height, weight, body fat, body mass index, body fat percentage, and arm muscle mass and physiological variables such as VO2, VCO2, and heart rate at 3 and 6 min of graded exercise tests were included in the multiple linear regression analysis. The prediction equations revealed the following. Regarding non-exercise variables, VO2max was correlated with age and weight (equation R = 0.771, R2 = 0.595, SEE= 3.187). Regarding submaximal variables, VO2max was correlated with weight and VO2 and VCO2 at 6 min (equation R = 0.892, R2 = 0.796, SEE = 2.309). In conclusion, our prediction equations can be used as a cardiopulmonary function evaluation tool to estimate VO2max simply and conveniently using the anthropometric and physiological characteristics of paraplegic men with spinal cord injuries.
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