Evidence map›Paper›PMID 33138089›Full record

ArticleInternational journal of environmental research and public health2020

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, Ángel-Arturo López-González

Abstract readComparative Study
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rafael Molina-LuqueDepartment of Nursing, Pharmacology and Physiotherapy, School of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain.ORCID 0000-0002-5223-7400
Aina M YañezNursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain.ORCID 0000-0001-8527-3937
Miquel Bennasar-VenyNursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain.ORCID 0000-0003-1668-2141
Manuel Romero-SaldañaDepartment of Nursing, Pharmacology and Physiotherapy, School of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain.ORCID 0000-0002-6146-4402
Guillermo Molina-RecioDepartment of Nursing, Pharmacology and Physiotherapy, School of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain.ORCID 0000-0002-0005-4901
Ángel-Arturo López-GonzálezResearch Group on Evidence, Lifestyles & Health, Health Research Institute of the Balearic Islands (IdISBa), 07010 Palma, Spain.ORCID 0000-0002-7439-8117

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Adipose TissueAdiposityBody CompositionAdultAnthropometryBody Mass IndexCross-Sectional StudiesFemaleHumansMaleMiddle AgedModels, StatisticalObesityadultsanthropometrybody fatobesity

Identifiers

PMID33138089
PMCPMC7662211

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.