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Prediction Equation for Calculating Fat Mass in Young Indian Adults
PURPOSE: Accurate measurement or prediction of fat mass is useful in physiology, nutrition and clinical medicine. Most predictive equations currently used to assess percentage of body fat or fat mass, using simple anthropometric measurements were derived from people in western societies and they may...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289169/ https://www.ncbi.nlm.nih.gov/pubmed/22375197 |
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author | Sandhu, Jaspal Singh Gupta, Giniya Shenoy, Shweta |
author_facet | Sandhu, Jaspal Singh Gupta, Giniya Shenoy, Shweta |
author_sort | Sandhu, Jaspal Singh |
collection | PubMed |
description | PURPOSE: Accurate measurement or prediction of fat mass is useful in physiology, nutrition and clinical medicine. Most predictive equations currently used to assess percentage of body fat or fat mass, using simple anthropometric measurements were derived from people in western societies and they may not be appropriate for individuals with other genotypic and phenotypic characteristics. We developed equations to predict fat mass from anthropometric measurements in young Indian adults. METHODS: Fat mass was measured in 60 females and 58 males, aged 20 to 29 yrs by using hydrostatic weighing and by simultaneous measurement of residual lung volume. Anthropometric measure included weight (kg), height (m) and 4 skinfold thickness [STs (mm)]. Sex specific linear regression model was developed with fat mass as the dependent variable and all anthropometric measures as independent variables. RESULTS: The prediction equation obtained for fat mass (kg) for males was 8.46+0.32 (weight) − 15.16 (height) + 9.54 (log of sum of 4 STs) (R2= 0. 53, SEE=3.42 kg) and − 20.22 + 0.33 (weight) + 3.44 (height) + 7.66 (log of sum of 4 STs) (R2=0.72, SEE=3.01kg) for females. CONCLUSION: A new prediction equation for the measurement of fat mass was derived and internally validated in young Indian adults using simple anthropometric measurements. |
format | Online Article Text |
id | pubmed-3289169 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-32891692012-02-28 Prediction Equation for Calculating Fat Mass in Young Indian Adults Sandhu, Jaspal Singh Gupta, Giniya Shenoy, Shweta Asian J Sports Med Original Article PURPOSE: Accurate measurement or prediction of fat mass is useful in physiology, nutrition and clinical medicine. Most predictive equations currently used to assess percentage of body fat or fat mass, using simple anthropometric measurements were derived from people in western societies and they may not be appropriate for individuals with other genotypic and phenotypic characteristics. We developed equations to predict fat mass from anthropometric measurements in young Indian adults. METHODS: Fat mass was measured in 60 females and 58 males, aged 20 to 29 yrs by using hydrostatic weighing and by simultaneous measurement of residual lung volume. Anthropometric measure included weight (kg), height (m) and 4 skinfold thickness [STs (mm)]. Sex specific linear regression model was developed with fat mass as the dependent variable and all anthropometric measures as independent variables. RESULTS: The prediction equation obtained for fat mass (kg) for males was 8.46+0.32 (weight) − 15.16 (height) + 9.54 (log of sum of 4 STs) (R2= 0. 53, SEE=3.42 kg) and − 20.22 + 0.33 (weight) + 3.44 (height) + 7.66 (log of sum of 4 STs) (R2=0.72, SEE=3.01kg) for females. CONCLUSION: A new prediction equation for the measurement of fat mass was derived and internally validated in young Indian adults using simple anthropometric measurements. Tehran University of Medical Sciences 2010-06 /pmc/articles/PMC3289169/ /pubmed/22375197 Text en © 2010 Sports Medicine Research Center, Tehran University of Medical Sciences http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Sandhu, Jaspal Singh Gupta, Giniya Shenoy, Shweta Prediction Equation for Calculating Fat Mass in Young Indian Adults |
title | Prediction Equation for Calculating Fat Mass in Young Indian Adults |
title_full | Prediction Equation for Calculating Fat Mass in Young Indian Adults |
title_fullStr | Prediction Equation for Calculating Fat Mass in Young Indian Adults |
title_full_unstemmed | Prediction Equation for Calculating Fat Mass in Young Indian Adults |
title_short | Prediction Equation for Calculating Fat Mass in Young Indian Adults |
title_sort | prediction equation for calculating fat mass in young indian adults |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3289169/ https://www.ncbi.nlm.nih.gov/pubmed/22375197 |
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