A Comparison of Equation Cordoba for Estimation of Body Fat (ECORE-BF) with Other Prediction Equations
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 (EC...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2020 |
| País: | España |
| Institución: | Instituto de Salud Carlos III (ISCIII) |
| Repositorio: | Repisalud |
| Idioma: | inglés |
| OAI Identifier: | oai:repisalud.isciii.es:20.500.12105/22999 |
| Acceso en línea: | https://hdl.handle.net/20.500.12105/22999 |
| Access Level: | acceso abierto |
| Palabra clave: | Adults Anthropometry Body fat Obesity Índice de Masa Corporal Modelos Estadísticos Femenino Masculino Tejido Adiposo Estudios Transversales Humanos Persona de Mediana Edad Obesidad Antropometría Composición Corporal Adulto Adiposidad Adult Body Composition Adipose Tissue Humans Middle Aged Cross-Sectional Studies Male Female Adiposity Body Mass Index Models, Statistical |
| Sumario: | 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. |
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