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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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Published in: | Healthcare (Basel) 2023-03, Vol.11 (5), p.763 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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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. |
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ISSN: | 2227-9032 2227-9032 |
DOI: | 10.3390/healthcare11050763 |