Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adults

<p>Abstract</p> <p>Background</p> <p>Aerobic capacity (VO<sub>2</sub>max) is highly dependent upon body composition of an individual and body composition varies with ethnicity. The purpose of this study was to check the concurrent validity of the non-exercis...

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Main Authors: Shenoy Shweta, Tyagi Bhupinder S, Sandhu Jaspal S
Format: Article
Language:English
Published: BMC 2012-09-01
Series:Sports Medicine, Arthroscopy, Rehabilitation, Therapy & Technology
Online Access:http://www.smarttjournal.com/content/4/1/34
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author Shenoy Shweta
Tyagi Bhupinder S
Sandhu Jaspal S
author_facet Shenoy Shweta
Tyagi Bhupinder S
Sandhu Jaspal S
author_sort Shenoy Shweta
collection DOAJ
description <p>Abstract</p> <p>Background</p> <p>Aerobic capacity (VO<sub>2</sub>max) is highly dependent upon body composition of an individual and body composition varies with ethnicity. The purpose of this study was to check the concurrent validity of the non-exercise prediction equation developed by Jackson and colleagues (1990) using percentage body fat as a variable in Asian Indian adults.</p> <p>Methods</p> <p>One hundred twenty college-aged participants (60 male, 60 female, mean age 22.02 ± 2.29 yrs) successfully completed a maximal graded exercise test (GXT) on a motorized treadmill to assess VO<sub>2</sub>max. VO<sub>2</sub>max was then estimated by the non-exercise prediction equation developed by Jackson and colleagues (1990) using percentage body fat. Percentage body fat was calculated by three different models (Sandhu et al’s fat mass equation, Durnin-womersley’s 4 site percentage body fat and Jackson & Pollock’s 4 site percentage body fat) and was used in the above equation. The results of VO<sub>2</sub>max obtained using “gold standard” treadmill methods were then compared with the three results of VO<sub>2</sub>max obtained by Jackson et al’s equation (using three different models to calculate percentage body fat) and it was determined which equation is best suited to determine percentage body fat and in turn VO<sub>2</sub> max for Indian population.</p> <p>Results</p> <p>Jackson et al’s prediction equation overpredicts VO<sub>2</sub>max in Asian Indian subjects who have a lower VO<sub>2</sub>max (33.41 ± 14.39 ml/kg/min) than those reported in other age matched populations. percentage body fats calculated by the three equations were significantly different and the correlation coefficient (r) between VO<sub>2</sub>max calculated by Jackson and colleagues (1990) using Sandhu et al’s equation for percentage body fat with VO<sub>2</sub> max calculated using treadmill (gold standard) (r = .817) was found slightly more significantly correlated than the other two equations and was not statistically different from the measured value.</p> <p>Conclusions</p> <p>This study proves that VO<sub>2</sub>max equation using Sandhu et al’s model for percentage body fat yields more accurate results than other studied equations in healthy college-aged participants in India.</p>
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spelling doaj.art-b751e31ecbb5470e901458b25f39cf9a2022-12-22T02:58:12ZengBMCSports Medicine, Arthroscopy, Rehabilitation, Therapy & Technology1758-25552012-09-01413410.1186/1758-2555-4-34Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adultsShenoy ShwetaTyagi Bhupinder SSandhu Jaspal S<p>Abstract</p> <p>Background</p> <p>Aerobic capacity (VO<sub>2</sub>max) is highly dependent upon body composition of an individual and body composition varies with ethnicity. The purpose of this study was to check the concurrent validity of the non-exercise prediction equation developed by Jackson and colleagues (1990) using percentage body fat as a variable in Asian Indian adults.</p> <p>Methods</p> <p>One hundred twenty college-aged participants (60 male, 60 female, mean age 22.02 ± 2.29 yrs) successfully completed a maximal graded exercise test (GXT) on a motorized treadmill to assess VO<sub>2</sub>max. VO<sub>2</sub>max was then estimated by the non-exercise prediction equation developed by Jackson and colleagues (1990) using percentage body fat. Percentage body fat was calculated by three different models (Sandhu et al’s fat mass equation, Durnin-womersley’s 4 site percentage body fat and Jackson & Pollock’s 4 site percentage body fat) and was used in the above equation. The results of VO<sub>2</sub>max obtained using “gold standard” treadmill methods were then compared with the three results of VO<sub>2</sub>max obtained by Jackson et al’s equation (using three different models to calculate percentage body fat) and it was determined which equation is best suited to determine percentage body fat and in turn VO<sub>2</sub> max for Indian population.</p> <p>Results</p> <p>Jackson et al’s prediction equation overpredicts VO<sub>2</sub>max in Asian Indian subjects who have a lower VO<sub>2</sub>max (33.41 ± 14.39 ml/kg/min) than those reported in other age matched populations. percentage body fats calculated by the three equations were significantly different and the correlation coefficient (r) between VO<sub>2</sub>max calculated by Jackson and colleagues (1990) using Sandhu et al’s equation for percentage body fat with VO<sub>2</sub> max calculated using treadmill (gold standard) (r = .817) was found slightly more significantly correlated than the other two equations and was not statistically different from the measured value.</p> <p>Conclusions</p> <p>This study proves that VO<sub>2</sub>max equation using Sandhu et al’s model for percentage body fat yields more accurate results than other studied equations in healthy college-aged participants in India.</p>http://www.smarttjournal.com/content/4/1/34
spellingShingle Shenoy Shweta
Tyagi Bhupinder S
Sandhu Jaspal S
Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adults
Sports Medicine, Arthroscopy, Rehabilitation, Therapy & Technology
title Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adults
title_full Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adults
title_fullStr Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adults
title_full_unstemmed Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adults
title_short Concurrent validity of the non-exercise based VO<sub>2</sub>max prediction equation using percentage body fat as a variable in asian Indian adults
title_sort concurrent validity of the non exercise based vo sub 2 sub max prediction equation using percentage body fat as a variable in asian indian adults
url http://www.smarttjournal.com/content/4/1/34
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AT tyagibhupinders concurrentvalidityofthenonexercisebasedvosub2submaxpredictionequationusingpercentagebodyfatasavariableinasianindianadults
AT sandhujaspals concurrentvalidityofthenonexercisebasedvosub2submaxpredictionequationusingpercentagebodyfatasavariableinasianindianadults