Predicting Maximum Oxygen Uptake from Non-Exercise and Submaximal Exercise Tests in Paraplegic Men with Spinal Cord Injury

This study aimed to develop prediction equations for maximum oxygen uptake (VO(2)max) 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 VO(2), VCO(2), 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, VO(2)max was correlated with age and weight (equation R = 0.771, R(2) = 0.595, SEE= 3.187). Regarding submaximal variables, VO(2)max was correlated with weight and VO(2) and VCO(2) at 6 min (equation R = 0.892, R(2) = 0.796, SEE = 2.309). In conclusion, our prediction equations can be used as a cardiopulmonary function evaluation tool to estimate VO(2)max simply and conveniently using the anthropometric and physiological characteristics of paraplegic men with spinal cord injuries.