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A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations

Identificadores del recurso

Molina-Luque R, Yañez AM, Bennasar-Veny M, Romero-Saldaña M, Molina-Recio G, López-González Á-A. A Comparison of Equation Córdoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations. Int J Environ Res Public Health. 2020;17(21).

http://hdl.handle.net/20.500.13003/18465

10.3390/ijerph17217940

1660-4601

33138089

L2005410990

000588988100001

Jatorria

(Docusalut. Repositorio institucional del sistema sanitario público de las Islas Baleares)

Fitxa

Izenburu:: A Comparison of Equation Córdoba 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
Deskribapen:: 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.
Idioma:: English
Harreman:: https://doi.org/10.3390/nu14142795
Autor/Productor:: Molina-Luque, Rafael; Yáñez, Aina M; Bennasar-Veny, Miquel; Romero-Saldaña, Manuel; Molina-Recio, Guillermo; López-González, Angel Arturo
Eskubideak:: Atribución 4.0 Internacional; http://creativecommons.org/licenses/by/4.0/; open access
Data:: 2023-01-11T11:19:56Z; 2020-10-29
Tipo de recurso:: research article

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