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

Rafael Molina-Luque, Aina M Yañez, Miquel Bennasar-Veny, Manuel Romero-Saldaña, Guillermo Molina-Recio and Ángel-Arturo López-González
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Rafael Molina-Luque: Department of Nursing, Pharmacology and Physiotherapy, School of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain
Aina M Yañez: Nursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain
Miquel Bennasar-Veny: Nursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain
Manuel Romero-Saldaña: Department of Nursing, Pharmacology and Physiotherapy, School of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain
Guillermo Molina-Recio: Department of Nursing, Pharmacology and Physiotherapy, School of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain
Ángel-Arturo López-González: Research Group on Evidence, Lifestyles & Health, Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain

IJERPH, 2020, vol. 17, issue 21, 1-11

Abstract: 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.

Keywords: adults; anthropometry; body fat; obesity (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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