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Linked Open Data
A Comparison of Equation Cordoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations
Identificadores del recurso
Molina-Luque R, Yañez AM, Bennasar-Veny M, Romero-Saldana M, Molina-Recio G, Lopez Gonzalez AA. A Comparison of Equation Cordoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations. Int J Environ Res Public Health. 2020 Nov;17(21):7940.
http://hdl.handle.net/20.500.13003/8888
10.3390/ijerph17217940
1660-4601
33138089
L2005410990
2-s2.0-85095405617
000588988100001
Procedència
(Docusalut. Repositorio institucional del sistema sanitario público de las Islas Baleares)

Fitxa

Títol:
A Comparison of Equation Cordoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations
Tema:
Anthropometry
Adult
Body Composition
Adipose Tissue
Humans
Middle Aged
Cross-Sectional Studies
Obesity
Male
Female
Adiposity
Body Mass Index
Models, Statistical
Índice de Masa Corporal
Modelos Estadísticos
Femenino
Masculino
Tejido Adiposo
Estudios Transversales
Humanos
Persona de Mediana Edad
Obesidad
Antropometría
Composición Corporal
Adulto
Adiposidad
adults
anthropometry
body fat
obesity
Descripció:
There are multiple formulas for estimating the percentage of body fat (BF%). Clinica 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 Cordoba 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.
Idioma:
English
Relació:
https://dx.doi.org/10.3390/ijerph17217940
Autor/Productor:
Molina-Luque, Rafael
Yáñez, Aina M
Bennasar-Veny, Miquel
Romero-Saldana, Manuel
Molina-Recio, Guillermo
López-González, Angel Arturo
Editor:
MDPI
Drets:
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
open access
Data:
2021-08-24T15:05:33Z
2020-11
Tipo de recurso:
research article

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