近红外反应光谱仪与双能 X 射线吸收测量法之间的身体总成分和附属成分比较。

IF 1.3 4区 医学 Q4 PHYSIOLOGY
Caleb F Brandner, Abby T Compton, Sydney H Swafford, Ryan S Aultman, Anabelle Vallecillo-Bustos, Ta'Quoris A Newsome, Megan E Renna, Tanner Thorsen, Jon Stavres, Austin J Graybeal
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引用次数: 0

摘要

背景:近红外反应光谱法(NIRS)可提供全面的身体成分评估,因此在个人和专业领域越来越受欢迎。然而,近红外反应光谱是否与标准方法一致仍是未知数。因此,本研究旨在确定近红外光谱与 DXA 得出的身体成分估计值之间的一致性:方法:97 名参与者使用 DXA 和第一代 (NIRSG1)、第二代 (NIRSG2) 以及肌肉专用 NIRS (NIRSFIT) 设备完成了身体成分评估。在另外一天,一部分参与者(n = 63)在手握式测力计上进行了最大自主收缩(MVC),结合附肢总瘦体重(ALM)估算值,得出了描述肌肉质量指数(MQI)的比率(MVC/总ALM或仅MVC/手臂ALM):结果:NIRSG2 的脂肪量、无脂肪量、体脂率和 ALM,而非骨矿物质含量 (BMC),以及 NIRSFIT 与 DXA 的等效性(使用等效性测试),R2 为 0.83 至 0.97;但 BMC 的一致性系数为 0.83,R2 为 0.88。使用近红外成像技术得出的总 ALM 的 MQI 值与 DXA 值不相当,但显示出较低的均方根误差(0.08 千克/千克)和 95% 的一致性(±0.21 千克/千克)。NIRSG1 和 NIRSG2 的内脏脂肪组织(iVAT)指数有显著差异(p G1 R2:0.53;NIRSG2 R2:0.62;均为 p 结论:NIRS 与 DXA 的一致性似乎可以接受,不断改进可使 NIRS 成为全面身体成分评估的可行替代方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Total and appendicular body composition comparisons between near-infrared reactance spectroscopy and dual energy X-ray absorptiometry.

Background: Near-infrared reactance spectroscopy (NIRS) has become increasingly popular in personal and professional settings now that it has been adapted to provide comprehensive body composition assessments. However, whether NIRS agrees with criterion methods remains unknown. Thus, this study aimed to determine the agreement between NIRS and DXA-derived body composition estimates.

Methods: Ninety-seven participants completed body composition assessments using DXA, and first-generation (NIRSG1), second-generation (NIRSG2), and muscle-specific NIRS (NIRSFIT) devices. On a separate day, a subset of participants (n = 63) performed maximal voluntary contractions (MVC) on a handgrip dynamometer, which were used in conjunction with total appendicular lean mass (ALM) estimates to provide ratios (MVC/total ALM or MVC/ALM of the arms only) depicting muscle quality index (MQI).

Results: Fat mass, fat-free mass, body fat %, and ALM, from NIRSG2, but not bone mineral content (BMC), and NIRSFIT demonstrated equivalence (using equivalence tests) with DXA with R2 from 0.83 to 0.97; though BMC revealed concordance coefficients of 0.83 and an R2 of 0.88. MQI using total ALM from NIRS was not equivalent to DXA, but demonstrated low root mean squared error (0.08 kg/kg) and 95% limits of agreement (±0.21 kg/kg). Indices of visceral adipose tissue (iVAT) from NIRSG1 and NIRSG2 were significantly different (p < 0.001), but were both significantly associated with DXA VAT (NIRSG1 R2: 0.53; NIRSG2 R2: 0.62; both p < 0.001).

Conclusion: NIRS appears to demonstrate acceptable agreement with DXA and continual improvements could make NIRS a viable alternative for comprehensive body composition assessments.

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来源期刊
CiteScore
3.40
自引率
5.60%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Clinical Physiology and Functional Imaging publishes reports on clinical and experimental research pertinent to human physiology in health and disease. The scope of the Journal is very broad, covering all aspects of the regulatory system in the cardiovascular, renal and pulmonary systems with special emphasis on methodological aspects. The focus for the journal is, however, work that has potential clinical relevance. The Journal also features review articles on recent front-line research within these fields of interest. Covered by the major abstracting services including Current Contents and Science Citation Index, Clinical Physiology and Functional Imaging plays an important role in providing effective and productive communication among clinical physiologists world-wide.
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