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方程推导的体脂估算值与生物电阻抗分析在测量中年南方印度人体脂中的一致性。

Agreement between equation-derived body fat estimator and bioelectrical impedance analysis for body fat measurement in middle-aged southern Indians.

机构信息

Department of Physiology, School of Medicine and Dentistry, University of Central Lancashire, Preston, Lancashire, UK.

Department of Physiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.

出版信息

Physiol Rep. 2024 Oct;12(20):e70095. doi: 10.14814/phy2.70095.

DOI:10.14814/phy2.70095
PMID:39431546
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11492144/
Abstract

Excess body fat (BF) contributes to metabolic syndrome (MetS). The Clínica Universidad de Navarra-Body Adiposity Estimator (CUN-BAE) is an equation-derived body fat estimator proposed to assess BF. However, its efficiency compared to the standard method is unknown. We aimed to compare the efficacy of CUN-BAE with the standard method in estimating BF in southern Indians. We included 351 subjects, with 166 MetS patients and 185 non-MetS subjects. BF was obtained from the standard bioelectrical impedance analysis (BIA) method and measured by CUN-BAE in the same subjects. We compared the efficacy of CUN-BAE in estimating BF with that of BIA via Bland-Altman plots, intraclass correlation coefficients, concordance correlation coefficients and the kappa index. The mean body fat percentage (BF%) values measured by BIA and CUN-BAE in all the subjects were 28.91 ± 8.94 and 29.22 ± 8.63, respectively. We observed significant absolute agreement between CUN-BAE and BIA for BF%. BIA and CUN-BAE showed good reproducibility for BF%. CUN-BAE had accuracy comparable to BIA for detecting MetS using BF%. Our findings indicate that CUN-BAE provides precise BF estimates similar to the BIA method, making it suitable for routine clinical practice when access to BF measurement devices is limited.

摘要

体脂肪过多（BF）会导致代谢综合征（MetS）。Clínica Universidad de Navarra-Body Adiposity Estimator（CUN-BAE）是一种通过方程推导得出的体脂肪估算器，用于评估 BF。然而，其与标准方法相比的效率尚不清楚。我们旨在比较 CUN-BAE 与标准方法在评估南方印度人群 BF 中的效果。我们纳入了 351 名受试者，其中 166 名 MetS 患者和 185 名非 MetS 患者。BF 通过标准生物电阻抗分析（BIA）方法获得，并由相同的受试者使用 CUN-BAE 进行测量。我们通过 Bland-Altman 图、组内相关系数、一致性相关系数和 Kappa 指数比较了 CUN-BAE 和 BIA 估算 BF 的效果。BIA 和 CUN-BAE 在所有受试者中测量的体脂肪百分比（BF%）值分别为 28.91±8.94 和 29.22±8.63。我们观察到 CUN-BAE 和 BIA 之间 BF%的绝对一致性。BIA 和 CUN-BAE 对 BF%的重现性良好。CUN-BAE 在使用 BF%检测 MetS 方面与 BIA 具有可比性的准确性。我们的研究结果表明，CUN-BAE 提供了类似于 BIA 方法的精确 BF 估计值，在 BF 测量设备有限的情况下，它适用于常规临床实践。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/f455fa3fbe9f/PHY2-12-e70095-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/b187813bae00/PHY2-12-e70095-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/63f9d039065c/PHY2-12-e70095-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/38475bbd1128/PHY2-12-e70095-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/f455fa3fbe9f/PHY2-12-e70095-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/b187813bae00/PHY2-12-e70095-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/63f9d039065c/PHY2-12-e70095-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/38475bbd1128/PHY2-12-e70095-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5387/11492144/f455fa3fbe9f/PHY2-12-e70095-g002.jpg

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