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评估婴幼儿期的身体成分:4C法、定量磁共振成像、双能X线吸收法和空气置换容积描记法的比较

Evaluating body composition in infancy and childhood: A comparison between 4C, QMR, DXA, and ADP.

作者信息

Heard-Lipsmeyer Melissa E, Hull Holly, Sims Clark R, Cleves Mario A, Andres Aline

机构信息

Arkansas Children's Nutrition Center, University of Arkansas for Medical Sciences, Little Rock, Arkansas.

Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas.

出版信息

Pediatr Obes. 2020 Jun;15(6):e12617. doi: 10.1111/ijpo.12617. Epub 2020 Jan 27.

Abstract

BACKGROUND

Accurate and precise methods to measure of body composition in infancy and childhood are needed.

OBJECTIVES

This study evaluated differences and precision of three methods when compared with the four-compartment (4C) model for estimating fat mass (FM).

METHODS

FM of children (age 14 days to 6 years of age, N = 346) was obtained using quantitative nuclear magnetic resonance (QMR, EchoMRI-AH), air-displacement plethysmography (ADP, PeaPod, less than or equal to 8 kg, BodPod age 6 years or older), and dual-energy X-ray absorptiometry (DXA, Hologic QDR). The 4C model was computed. Correlation, concordance, and Bland-Altman analyses were performed.

RESULTS

In infants, PeaPod had high individual FM accuracy, whereas DXA had high group FM accuracy compared with 4C. In children, DXA had high group and individual FM accuracies compared with 4C. QMR underestimated group FM in infants and children (300 and 510 g, respectively). The instrument FM precision was best for QMR (10 g) followed by BodPod (34 g), PeaPod (38 g), and DXA (45 g).

CONCLUSIONS

In infants, PeaPod was the best method to estimate individual FM whereas DXA was best to estimate group FM. In children, DXA was best to estimate individual and group FM. QMR had the highest instrument precision.

摘要

背景

需要准确且精确的方法来测量婴幼儿的身体成分。

目的

本研究评估了三种方法与四成分(4C)模型相比在估计脂肪量(FM)时的差异和精度。

方法

使用定量核磁共振(QMR,EchoMRI - AH)、空气置换体积描记法(ADP,PeaPod,体重小于或等于8千克,BodPod适用于6岁及以上儿童)和双能X线吸收法(DXA,Hologic QDR)获取346名14天至6岁儿童的FM。计算4C模型。进行相关性、一致性和布兰德 - 奥特曼分析。

结果

在婴儿中,与4C模型相比,PeaPod具有较高的个体FM准确性,而DXA具有较高的群体FM准确性。在儿童中,与4C模型相比,DXA具有较高的群体和个体FM准确性。QMR低估了婴儿和儿童的群体FM(分别为300克和510克)。仪器FM精度方面,QMR最佳(10克),其次是BodPod(34克)、PeaPod(38克)和DXA(45克)。

结论

在婴儿中,PeaPod是估计个体FM的最佳方法,而DXA是估计群体FM的最佳方法。在儿童中,DXA是估计个体和群体FM的最佳方法。QMR具有最高的仪器精度。

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