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A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations
There are multiple formulas for estimating the percentage of body fat (BF%). Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is one of the most used formulas because of its accuracy and its association with cardiovascular pathologies. Equation Córdoba for Estimation of Body Fat (EC...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662211/ https://www.ncbi.nlm.nih.gov/pubmed/33138089 http://dx.doi.org/10.3390/ijerph17217940 |
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author | Molina-Luque, Rafael Yañez, Aina M Bennasar-Veny, Miquel Romero-Saldaña, Manuel Molina-Recio, Guillermo López-González, Ángel-Arturo |
author_facet | Molina-Luque, Rafael Yañez, Aina M Bennasar-Veny, Miquel Romero-Saldaña, Manuel Molina-Recio, Guillermo López-González, Ángel-Arturo |
author_sort | Molina-Luque, Rafael |
collection | PubMed |
description | There are multiple formulas for estimating the percentage of body fat (BF%). Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is one of the most used formulas because of its accuracy and its association with cardiovascular pathologies. Equation Córdoba for Estimation of Body Fat (ECORE-BF) was developed to simplify the calculation of BF% while maintaining a similar level of accuracy. The objective was to compare ECORE-BF in a large sample of Spanish workers using CUN-BAE as a reference. A cross-sectional study was carried out on 196,844 participants. The BF% was estimated using different formulas: relative fat mass (RFM), Palafolls, Deurenberg, and ECORE-BF. The accuracy of the estimation was determined using Lin’s concordance correlation coefficient (CCC) and the Bland–Altman method, using CUN-BAE as the reference method. ECORE-BF reached the highest concordance (CCC = 0.998). It also showed the lowest mean difference (−0.0077) and the tightest agreement limits (−0.9723, 0.9569) in the Bland–Altman test. In both analyses, it remained robust even when separating the analyses by sex, nutritional status, or age. ECORE-BF presented as the most straightforward and most accurate equation for the estimation of BF%, remaining robust regardless of population characteristics. |
format | Online Article Text |
id | pubmed-7662211 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76622112020-11-14 A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations Molina-Luque, Rafael Yañez, Aina M Bennasar-Veny, Miquel Romero-Saldaña, Manuel Molina-Recio, Guillermo López-González, Ángel-Arturo Int J Environ Res Public Health Article There are multiple formulas for estimating the percentage of body fat (BF%). Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is one of the most used formulas because of its accuracy and its association with cardiovascular pathologies. Equation Córdoba for Estimation of Body Fat (ECORE-BF) was developed to simplify the calculation of BF% while maintaining a similar level of accuracy. The objective was to compare ECORE-BF in a large sample of Spanish workers using CUN-BAE as a reference. A cross-sectional study was carried out on 196,844 participants. The BF% was estimated using different formulas: relative fat mass (RFM), Palafolls, Deurenberg, and ECORE-BF. The accuracy of the estimation was determined using Lin’s concordance correlation coefficient (CCC) and the Bland–Altman method, using CUN-BAE as the reference method. ECORE-BF reached the highest concordance (CCC = 0.998). It also showed the lowest mean difference (−0.0077) and the tightest agreement limits (−0.9723, 0.9569) in the Bland–Altman test. In both analyses, it remained robust even when separating the analyses by sex, nutritional status, or age. ECORE-BF presented as the most straightforward and most accurate equation for the estimation of BF%, remaining robust regardless of population characteristics. MDPI 2020-10-29 2020-11 /pmc/articles/PMC7662211/ /pubmed/33138089 http://dx.doi.org/10.3390/ijerph17217940 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Molina-Luque, Rafael Yañez, Aina M Bennasar-Veny, Miquel Romero-Saldaña, Manuel Molina-Recio, Guillermo López-González, Ángel-Arturo A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations |
title | A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations |
title_full | A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations |
title_fullStr | A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations |
title_full_unstemmed | A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations |
title_short | A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations |
title_sort | comparison of equation córdoba for estimation of body fat (ecore-bf) with other prediction equations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7662211/ https://www.ncbi.nlm.nih.gov/pubmed/33138089 http://dx.doi.org/10.3390/ijerph17217940 |
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