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三种体成分模型下生物电阻抗分析与双能 X 射线吸收法测定全段及节段骨矿含量的比较。

Comparison of Bioelectrical Impedance Analysis and Dual Energy X-ray Absorptiometry for Total and Segmental Bone Mineral Content with a Three-Compartment Model.

机构信息

Department of Diagnostic Radiology, Chang Gung Memorial Hospital, Yunlin 638, Taiwan.

Department of Nursing, Chang Gung University of Science and Technology, Chiayi 613, Taiwan.

出版信息

Int J Environ Res Public Health. 2020 Apr 10;17(7):2595. doi: 10.3390/ijerph17072595.

DOI:10.3390/ijerph17072595
PMID:32290133
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7177846/
Abstract

Modern bioelectrical impedance analysis (BIA) provides a wide range of body composition estimates such as fat mass (FM), lean body mass (LBM), and body water, using specific algorithms. Assuming that the fat free mass (FFM) and LBM can be accurately estimated by the 8-electrode BIA analyzer (BIA; InBody230, Biospace), the bone mineral content (BMC) may be calculated by subtracting the LBM from the FFM estimates based on the three-compartment (3C) model. In this cross-sectional study, 239 healthy Taiwanese adults (106 male and 133 female) aged 20-45 years were recruited for BIA and dual-energy X-ray absorptiometry (DXA) measurements of the whole body and body segments, with DXA as the reference. The results showed a high correlation between BIA and DXA in estimating total and segmental LBM, FM and percentage body fat (r = 0.909-0.986, 0.757-0.964, and 0.837-0.936, respectively). For BMC estimates, moderate to high correlations (r = 0.425-0.829) between the two methods were noted. The percentage errors and pure errors for BMC estimates between the methods ranged from 33.9% to 93.0% and from 0.159 kg to 0.969 kg, respectively. This study validated that BIA can accurately assesses LBM, FM and body fat percentage (BF%). However, the estimation of segmental BMC based on the difference between FFM and LBM in body segments may not be reliable by BIA.

摘要

现代生物电阻抗分析 (BIA) 使用特定算法提供了广泛的身体成分估计值,例如脂肪量 (FM)、瘦体重 (LBM) 和身体水分。假设 8 电极 BIA 分析仪 (BIA; InBody230,Biospace) 可以准确估计无脂肪质量 (FFM) 和 LBM,则可以根据三组分 (3C) 模型从 FFM 估计值中减去 LBM 来计算骨矿物质含量 (BMC)。在这项横断面研究中,招募了 239 名年龄在 20-45 岁的健康台湾成年人(106 名男性和 133 名女性)进行 BIA 和全身和身体部位的双能 X 射线吸收法 (DXA) 测量,以 DXA 作为参考。结果表明,BIA 与 DXA 在估计总 LBM、FM 和体脂百分比方面具有高度相关性 (r = 0.909-0.986、0.757-0.964 和 0.837-0.936)。对于 BMC 估计值,两种方法之间存在中度到高度相关性 (r = 0.425-0.829)。两种方法之间 BMC 估计值的百分比误差和纯误差范围分别为 33.9%至 93.0%和 0.159 公斤至 0.969 公斤。本研究验证了 BIA 可以准确评估 LBM、FM 和体脂百分比 (BF%)。然而,基于身体部位的 FFM 和 LBM 之间的差异来估计 BMC 可能不可靠。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/f5e6b63c00b7/ijerph-17-02595-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/a32c78800614/ijerph-17-02595-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/72b482fd75e2/ijerph-17-02595-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/17bbaf4a0fc6/ijerph-17-02595-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/f5e6b63c00b7/ijerph-17-02595-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/a32c78800614/ijerph-17-02595-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/72b482fd75e2/ijerph-17-02595-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/17bbaf4a0fc6/ijerph-17-02595-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad38/7177846/f5e6b63c00b7/ijerph-17-02595-g004.jpg

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