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科尔多瓦方程(ECORE-BF)与其他预测方程估算体脂的比较。

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

机构信息

Department of Nursing, Pharmacology and Physiotherapy, School of Medicine and Nursing, University of Córdoba, 14004 Córdoba, Spain.

Nursing and Physiotherapy Department, University of the Balearic Islands, 07122 Palma, Spain.

出版信息

Int J Environ Res Public Health. 2020 Oct 29;17(21):7940. doi: 10.3390/ijerph17217940.

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.

摘要

有多种公式可用于估算体脂百分比(BF%)。由于其准确性及其与心血管疾病的关联,Clinica Universidad de Navarra-Body Adiposity Estimator(CUN-BAE)是最常用的公式之一。为了简化 BF%的计算,同时保持相似的准确性,开发了 Córdoba 用于估计体脂(ECORE-BF)的方程。目的是使用 CUN-BAE 作为参考,在大量西班牙工人样本中比较 ECORE-BF。对 196,844 名参与者进行了横断面研究。使用不同的公式估算 BF%:相对脂肪量(RFM)、Palafolls、Deurenberg 和 ECORE-BF。使用 Lin 的一致性相关系数(CCC)和 Bland-Altman 方法确定估计的准确性,使用 CUN-BAE 作为参考方法。ECORE-BF 达到了最高的一致性(CCC=0.998)。在 Bland-Altman 测试中,它还显示出最低的平均差异(-0.0077)和最紧密的协议限制(-0.9723,0.9569)。在这两种分析中,即使按性别、营养状况或年龄对分析进行划分,它仍然是稳健的。ECORE-BF 是一种最直接、最准确的 BF%估算公式,无论人群特征如何,它都保持稳健。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/19ba/7662211/f10cd19db6bb/ijerph-17-07940-g001.jpg

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