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三维人体扫描仪用于身体成分测量的验证。

Validation of a three-dimensional body scanner for body composition measures.

机构信息

Laboratory of Integrative Human Physiology, School of Kinesiology, University of Minnesota, Minneapolis, MN, 55455, USA.

Kinesiology and Health Sciences, College of Education and Science, Concordia University - St. Paul, St. Paul, MN, 55104, USA.

出版信息

Eur J Clin Nutr. 2018 Aug;72(8):1191-1194. doi: 10.1038/s41430-017-0046-1. Epub 2017 Dec 29.

Abstract

The accuracy of an infrared three-dimensional (3D) body scanner in determining body composition was compared against hydrostatic weighing (HW), bioelectrical impedance analysis (BIA), and anthropometry. A total of 265 adults (119 males; age = 22.1 ± 2.5 years; body mass index = 24.5 ± 3.9 kg/m) had their body fat percent (BF%) estimated from 3D scanning, HW, BIA, skinfolds, and girths. A repeated measures analysis of variance (ANOVA) indicated significant differences among methods (p < 0.001). Multivariate ANOVA indicated a significant main effect of sex and method (p < 0.001), with a non-significant interaction (p = 0.101). Bonferroni post-hoc comparisons identified that BF% from 3D scanning (18.1 ± 7.8%) was significantly less than HW (22.8 ± 8.5%, p < 0.001), BIA (20.1 ± 9.1%, p < 0.001), skinfolds (19.7 ± 9.7%, p < 0.001), and girths (21.2 ± 10.4%, p < 0.001). The 3D scanner decreased in precision with increasing adiposity, potentially resulting from inconsistences in the 3D scanner's analysis algorithm. A correction factor within the algorithm is required before infrared 3D scanning can be considered valid in measuring BF%.

摘要

将红外三维(3D)人体扫描仪测定身体成分的准确性与静水称重(HW)、生物电阻抗分析(BIA)和人体测量法进行了比较。共有 265 名成年人(男性 119 名;年龄=22.1±2.5 岁;BMI=24.5±3.9kg/m)通过 3D 扫描、HW、BIA、皮褶厚度和周长来估计体脂肪百分比(BF%)。重复测量方差分析(ANOVA)表明方法之间存在显著差异(p<0.001)。多变量方差分析表明性别和方法有显著的主效应(p<0.001),但交互作用不显著(p=0.101)。Bonferroni 事后比较表明,3D 扫描的 BF%(18.1±7.8%)明显低于 HW(22.8±8.5%,p<0.001)、BIA(20.1±9.1%,p<0.001)、皮褶厚度(19.7±9.7%,p<0.001)和周长(21.2±10.4%,p<0.001)。3D 扫描仪的精度随着肥胖程度的增加而降低,这可能是由于 3D 扫描仪分析算法的不一致性造成的。在将红外 3D 扫描视为测量 BF%的有效方法之前,需要在算法中加入一个修正因子。

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