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人体测量预测方程中超声衍生皮褶厚度高估脂肪量:一项使用四成分模型的验证研究

Ultrasound-Derived Skinfolds in Anthropometric Predictive Equations Overestimate Fat Mass: A Validation Study Using a Four-Component Model.

作者信息

Cerullo Giuseppe, Franchi Martino V, Sampieri Alessandro, Campa Francesco, Paoli Antonio

机构信息

Department of Biomedical Sciences, University of Padua, 35122 Padua, Italy.

出版信息

Nutrients. 2025 May 30;17(11):1881. doi: 10.3390/nu17111881.

DOI:10.3390/nu17111881
PMID:40507151
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12157048/
Abstract

The evaluation of body composition is considered a key factor for assessing nutritional status. In several settings, ultrasound (US) has been used as a useful tool in nutritional practice by estimating body composition parameters, such as the whole-body fat mass (FM). The estimation of FM can be carried out by using predictive equations that generally require measurements of skinfold thickness, which can be measured directly via US imaging. The main aim of this study was to evaluate the validity of US-derived skinfolds within anthropometric equations for estimating whole-body FM. : Skinfold thickness was measured in 37 active individuals (19 males, age 24.2 ± 4.3 years, and 18 females, age 25.3 ± 4.2 years) using both anthropometry and US. The skinfolds obtained from anthropometry and US were entered into Evans' equation to estimate the FM and were validated against a four-component model (4C) as a reference. : The use of US-derived skinfolds within anthropometric equations resulted in an overestimation of FM (4.8%, < 0.01). An agreement analysis between the FMs estimated with US-derived skinfolds and the 4C model revealed a concordance correlation coefficient of 0.33, 95% limits of agreements ranging from -3.4% to 0.6%, and a positive trend (r = 0.8; < 0.01). : The practice of doubling the US thickness to approximate skinfold thickness leads to an overestimation of FM by ~5%, and it should be avoided. This results in a lack of agreement with the 4C model at both the group and individual levels. New equations based on US measurements should be developed to enhance the accuracy of body composition evaluation and help optimize nutritional strategies.

摘要

身体成分评估被认为是评估营养状况的关键因素。在多种情况下,超声(US)已被用作营养实践中的一种有用工具,通过估计身体成分参数,如全身脂肪量(FM)。FM的估计可以通过使用预测方程来进行,这些方程通常需要测量皮褶厚度,而皮褶厚度可通过超声成像直接测量。本研究的主要目的是评估人体测量方程中基于超声的皮褶厚度在估计全身FM方面的有效性。:使用人体测量法和超声对37名活跃个体(19名男性,年龄24.2±4.3岁,18名女性,年龄25.3±4.2岁)测量皮褶厚度。将通过人体测量法和超声获得的皮褶厚度代入埃文斯方程以估计FM,并与作为参考的四成分模型(4C)进行验证。:在人体测量方程中使用基于超声的皮褶厚度会导致FM高估(4.8%,<0.01)。对基于超声的皮褶厚度估计的FM与4C模型之间的一致性分析显示,一致性相关系数为0.33,95%一致性界限范围为-3.4%至0.6%,且呈正趋势(r = 0.8;<0.01)。:将超声测量厚度加倍以近似皮褶厚度的做法会导致FM高估约5%,应避免这种做法。这导致在群体和个体水平上与4C模型缺乏一致性。应开发基于超声测量的新方程,以提高身体成分评估精度并有助于优化营养策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/9e2787c653d0/nutrients-17-01881-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/33c9c934eef8/nutrients-17-01881-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/1dd25bcfbba9/nutrients-17-01881-g002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/fe20e3e7000c/nutrients-17-01881-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/9e2787c653d0/nutrients-17-01881-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/33c9c934eef8/nutrients-17-01881-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/1dd25bcfbba9/nutrients-17-01881-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/fe669526460f/nutrients-17-01881-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/fe20e3e7000c/nutrients-17-01881-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c0e5/12157048/9e2787c653d0/nutrients-17-01881-g005.jpg

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