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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 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 maxima...

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Bibliographic Details
Published in:Healthcare (Basel) 2023-03, Vol.11 (5), p.763
Main Authors: Lee, Bum-Suk, Bae, Jae-Hyuk, Choi, Yu-Jin, Lee, Jung-Ah
Format: Article
Language:English
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Summary:This study aimed to develop prediction equations for maximum oxygen uptake (VO 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 , VCO , 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 max was correlated with age and weight (equation R = 0.771, R = 0.595, SEE= 3.187). Regarding submaximal variables, VO max was correlated with weight and VO and VCO at 6 min (equation R = 0.892, R = 0.796, SEE = 2.309). In conclusion, our prediction equations can be used as a cardiopulmonary function evaluation tool to estimate VO max simply and conveniently using the anthropometric and physiological characteristics of paraplegic men with spinal cord injuries.
ISSN:2227-9032
2227-9032
DOI:10.3390/healthcare11050763