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A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation

BACKGROUND: Valid skinfold thickness (SFT) equations for the prediction of body fat are currently unavailable for South Asian women and would be a potentially robust field tool. Our aim was to assess the validity of existing SFT equations against deuterium ((2)H(2)O) dilution and, if invalid, to dev...

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Autores principales: Waidyatilaka, Indu, de Silva, Angela, de Lanerolle-Dias, Maduka, Atukorala, Sunethra, Lanerolle, Pulani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045665/
https://www.ncbi.nlm.nih.gov/pubmed/27716440
http://dx.doi.org/10.1186/s41043-016-0069-6
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author Waidyatilaka, Indu
de Silva, Angela
de Lanerolle-Dias, Maduka
Atukorala, Sunethra
Lanerolle, Pulani
author_facet Waidyatilaka, Indu
de Silva, Angela
de Lanerolle-Dias, Maduka
Atukorala, Sunethra
Lanerolle, Pulani
author_sort Waidyatilaka, Indu
collection PubMed
description BACKGROUND: Valid skinfold thickness (SFT) equations for the prediction of body fat are currently unavailable for South Asian women and would be a potentially robust field tool. Our aim was to assess the validity of existing SFT equations against deuterium ((2)H(2)O) dilution and, if invalid, to develop and validate an SFT equation for % fat mass (%FM) in Sri Lankan women. METHODS: H(2)O dilution was used with Fourier transform infrared (FTIR) spectroscopy as the criterion method for the assessment of %FM in urban Sri Lankan women (30–45 years). This data was used to assess the validity of available SFT equations and to generate and validate a new SFT equation for the prediction of %FM against the criterion method. Women (n = 164) were divided into validation and cross-validation groups for the development and validation of the new equation. The level of agreement between the %FM calculated by the final derived prediction equation and the %FM obtained by (2)H(2)O dilution was assessed using Pearson’s correlation coefficient (R) and Bland Altman plots. Student’s t test was used to assess over- or underestimation, and significance was set at p < 0.05. RESULTS: Existing equations significantly (p < 0.001) underestimated %FM compared with the (2)H(2)O dilution method. The final equation obtained was %FM = 19.621 + (0.237*weight) + (0.259*triceps). When compared with (2)H(2)O dilution, %FM by the equation was not significantly different. There was a significant (p < 0.001) correlation between %FM by the reference method and %FM by the equation. The limit of agreement by Bland Altman plot was narrow with a small mean positive bias. CONCLUSIONS: Existing SFT equations were not applicable to this population. The new equation derived was valid. We report a new SFT equation to predict %FM in women of South Asian ancestry suitable for field use.
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spelling pubmed-50456652016-10-12 A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation Waidyatilaka, Indu de Silva, Angela de Lanerolle-Dias, Maduka Atukorala, Sunethra Lanerolle, Pulani J Health Popul Nutr Research Article BACKGROUND: Valid skinfold thickness (SFT) equations for the prediction of body fat are currently unavailable for South Asian women and would be a potentially robust field tool. Our aim was to assess the validity of existing SFT equations against deuterium ((2)H(2)O) dilution and, if invalid, to develop and validate an SFT equation for % fat mass (%FM) in Sri Lankan women. METHODS: H(2)O dilution was used with Fourier transform infrared (FTIR) spectroscopy as the criterion method for the assessment of %FM in urban Sri Lankan women (30–45 years). This data was used to assess the validity of available SFT equations and to generate and validate a new SFT equation for the prediction of %FM against the criterion method. Women (n = 164) were divided into validation and cross-validation groups for the development and validation of the new equation. The level of agreement between the %FM calculated by the final derived prediction equation and the %FM obtained by (2)H(2)O dilution was assessed using Pearson’s correlation coefficient (R) and Bland Altman plots. Student’s t test was used to assess over- or underestimation, and significance was set at p < 0.05. RESULTS: Existing equations significantly (p < 0.001) underestimated %FM compared with the (2)H(2)O dilution method. The final equation obtained was %FM = 19.621 + (0.237*weight) + (0.259*triceps). When compared with (2)H(2)O dilution, %FM by the equation was not significantly different. There was a significant (p < 0.001) correlation between %FM by the reference method and %FM by the equation. The limit of agreement by Bland Altman plot was narrow with a small mean positive bias. CONCLUSIONS: Existing SFT equations were not applicable to this population. The new equation derived was valid. We report a new SFT equation to predict %FM in women of South Asian ancestry suitable for field use. BioMed Central 2016-09-30 /pmc/articles/PMC5045665/ /pubmed/27716440 http://dx.doi.org/10.1186/s41043-016-0069-6 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Waidyatilaka, Indu
de Silva, Angela
de Lanerolle-Dias, Maduka
Atukorala, Sunethra
Lanerolle, Pulani
A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation
title A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation
title_full A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation
title_fullStr A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation
title_full_unstemmed A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation
title_short A field tool for prediction of body fat in Sri Lankan women: skinfold thickness equation
title_sort field tool for prediction of body fat in sri lankan women: skinfold thickness equation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5045665/
https://www.ncbi.nlm.nih.gov/pubmed/27716440
http://dx.doi.org/10.1186/s41043-016-0069-6
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