• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

三维人体扫描仪的有效性:与四 compartment 模型和双能 X 射线吸收法的比较。

Validity of a 3-dimensional body scanner: comparison against a 4-compartment model and dual energy X-ray absorptiometry.

机构信息

Applied Physiology Laboratory, Department of Exercise and Sport Science, University of North Carolina, Chapel Hill, NC 27599, USA.

Human Movement Science Curriculum, Department of Allied Health Science, University of North Carolina, Chapel Hill, NC 27599, USA.

出版信息

Appl Physiol Nutr Metab. 2021 Jun;46(6):644-650. doi: 10.1139/apnm-2020-0744. Epub 2020 Dec 15.

DOI:10.1139/apnm-2020-0744
PMID:33320733
Abstract

Three-dimensional (3D) body scanner technology for body composition assessment is expanding. The aim of this study was to assess the validity of a 3D body scanner. One hundred and ninety-four participants (43% male; age: 23.52 ± 5.47 years; body mass index: 23.98 ± 3.24 kg·m) were measured using 3D scanner and a 4-compartment (4C) model utilizing dual-energy X-ray absorptiometry (DXA), air displacement plethysmography, and bioelectrical impedance spectroscopy. Dependent  tests, validity statistics including total error (TE), standard error of the estimate, constant error, and Bland-Altman analyses were utilized. Compared with 4C, 3D scanner fat mass (FM) [mean difference (MD; 3D-4C): 2.66 kg ± 3.32 kg] and percent body fat (%BF) (MD: 4.13% ± 5.36%) were significantly ( < 0.001) over-predicted; fat free mass (FFM) was significantly underpredicted (MD: -3.15 kg ± 4.75 kg;  < 0.001). 3D demonstrated poor validity indicated by TE (%BF: 5.61%; FM: 4.50 kg; FFM: 5.69 kg). In contrast, there were no significant differences between 3D and DXA measures; 3D scanner demonstrated acceptable measurement for %BF (TE: 4.25%), FM (TE: 2.92 kg), and lean mass (TE: 3.86 kg). Compared with the 4C criterion, high TE values indicated 3D estimates were not valid. In contrast, 3D estimates produced acceptable measurement agreement when compared with DXA; an average overestimation of %BF by 5.31% (vs. 4C) and 4.20% (vs. DXA) may be expected. 3D body composition estimates are not valid compared with the 4-C criterion model. 3D estimates appeared to be more valid in females, compared with males. When compared with DXA, 3D estimates were acceptable.

摘要

三维(3D)人体扫描仪技术在人体成分评估中的应用正在不断扩展。本研究旨在评估一种 3D 人体扫描仪的有效性。194 名参与者(43%为男性;年龄:23.52±5.47 岁;体重指数:23.98±3.24kg·m)分别使用 3D 扫描仪和 4 compartment(4C)模型(利用双能 X 射线吸收法、空气置换体积描记法和生物电阻抗谱法)进行了测量。采用依赖测试、有效性统计(包括总误差(TE)、估计标准误差、常数误差和 Bland-Altman 分析)进行分析。与 4C 相比,3D 扫描仪脂肪量(FM)[平均差值(MD;3D-4C):2.66kg±3.32kg]和体脂百分比(%BF)(MD:4.13%±5.36%)被显著高估(<0.001);去脂体重(FFM)被显著低估(MD:-3.15kg±4.75kg;<0.001)。3D 的总误差(%BF:5.61%;FM:4.50kg;FFM:5.69kg)表明其有效性较差。相比之下,3D 与 DXA 测量之间无显著差异;3D 扫描仪在 %BF(TE:4.25%)、FM(TE:2.92kg)和瘦体重(TE:3.86kg)方面表现出可接受的测量效果。与 4C 标准相比,高 TE 值表明 3D 估计值无效。相比之下,3D 估计值与 DXA 相比产生了可接受的测量一致性;预计平均高估了 5.31%(与 4C 相比)和 4.20%(与 DXA 相比)的 %BF。与 4-C 标准模型相比,3D 体成分估计值无效。与男性相比,3D 估计值在女性中似乎更有效。与 DXA 相比,3D 估计值是可接受的。

相似文献

1
Validity of a 3-dimensional body scanner: comparison against a 4-compartment model and dual energy X-ray absorptiometry.三维人体扫描仪的有效性:与四 compartment 模型和双能 X 射线吸收法的比较。
Appl Physiol Nutr Metab. 2021 Jun;46(6):644-650. doi: 10.1139/apnm-2020-0744. Epub 2020 Dec 15.
2
Validity of the 4-compartment model using dual energy X-ray absorptiometry-derived body volume in overweight individuals.使用双能 X 射线吸收法测量的身体体积对超重个体的四室模型的有效性。
Appl Physiol Nutr Metab. 2018 Jul;43(7):742-746. doi: 10.1139/apnm-2017-0804. Epub 2018 Feb 23.
3
3-Dimensional optical scanning for body composition assessment: A 4-component model comparison of four commercially available scanners.三维光学扫描在身体成分评估中的应用:四种商业可用扫描仪的四组分模型比较。
Clin Nutr. 2020 Oct;39(10):3160-3167. doi: 10.1016/j.clnu.2020.02.008. Epub 2020 Feb 15.
4
Impact of food and fluid intake on technical and biological measurement error in body composition assessment methods in athletes.食物和液体摄入量对运动员身体成分评估方法中技术和生物学测量误差的影响。
Br J Nutr. 2017 Feb;117(4):591-601. doi: 10.1017/S0007114517000551.
5
Accuracy of octa-polar bioelectrical impedance analysis for the assessment of total and appendicular body composition in children and adolescents with HIV: comparison with dual energy X-ray absorptiometry and air displacement plethysmography.八极生物电阻抗分析评估 HIV 患儿和青少年总体及四肢体成分的准确性:与双能 X 射线吸收法和空气置换体描记法的比较。
J Hum Nutr Diet. 2018 Apr;31(2):276-285. doi: 10.1111/jhn.12501. Epub 2017 Aug 10.
6
Application of a dual energy x-ray absorptiometry derived 4-compartment body composition model: Non-discriminatory against leanness and sex.应用双能 X 射线吸收法建立的 4 compartment 体成分模型:对瘦体型和性别无歧视。
Clin Nutr ESPEN. 2020 Dec;40:401-405. doi: 10.1016/j.clnesp.2020.09.033. Epub 2020 Oct 13.
7
Validity and reliability of a 4-compartment body composition model using dual energy x-ray absorptiometry-derived body volume.使用双能X线吸收法得出的身体体积的四成分身体成分模型的有效性和可靠性。
Clin Nutr. 2017 Jun;36(3):825-830. doi: 10.1016/j.clnu.2016.05.006. Epub 2016 May 15.
8
Validation of InBody 770 bioelectrical impedance analysis compared to a four-compartment model criterion in young adults.验证 InBody 770 生物电阻抗分析与年轻人四室模型标准的比较。
Clin Physiol Funct Imaging. 2021 Jul;41(4):317-325. doi: 10.1111/cpf.12700. Epub 2021 Apr 1.
9
Development of a dual-energy X-ray absorptiometry-derived body volume equation in Hispanic adults for administering a four-compartment model.建立一个适用于 Hispanic 成年人的双能 X 射线吸收法体成分方程,以用于四室模型的体成分分析。
Br J Nutr. 2020 Jun 28;123(12):1373-1381. doi: 10.1017/S0007114520000598. Epub 2020 Feb 20.
10
Accuracy of body composition measurement techniques across the age span.人体成分测量技术在各年龄段的准确性。
Appl Physiol Nutr Metab. 2022 May;47(5):482-494. doi: 10.1139/apnm-2021-0587. Epub 2022 Jan 18.

引用本文的文献

1
Anthropometric-based predictive equations developed with multi-component models for estimating body composition in athletes.基于人体测量学的预测方程,采用多成分模型开发,用于估计运动员的身体成分。
Eur J Appl Physiol. 2025 Mar;125(3):595-610. doi: 10.1007/s00421-024-05672-3. Epub 2024 Dec 6.
2
The challenges of assessing adiposity in a clinical setting.评估临床环境中肥胖症的挑战。
Nat Rev Endocrinol. 2024 Oct;20(10):615-626. doi: 10.1038/s41574-024-01012-9. Epub 2024 Jul 15.
3
Mobile phone applications for 3-dimensional scanning and digital anthropometry: a precision comparison with traditional scanners.
手机应用程序进行三维扫描和数字人体测量:与传统扫描仪的精确性比较。
Eur J Clin Nutr. 2024 Jun;78(6):509-514. doi: 10.1038/s41430-024-01424-w. Epub 2024 Mar 7.
4
The applicability of a commercial 3DO body scanner in measuring body composition in Chinese adults with overweight and obesity: a secondary analysis based on a weight-loss clinical trial.商业 3DO 体成分扫描仪在测量超重和肥胖中国成年人身体成分中的适用性:一项基于减重临床试验的二次分析。
J Int Soc Sports Nutr. 2024 Dec;21(1):2307963. doi: 10.1080/15502783.2024.2307963. Epub 2024 Jan 24.
5
Digital Anthropometry: A Systematic Review on Precision, Reliability and Accuracy of Most Popular Existing Technologies.数字人体测量学:最流行现有技术的精度、可靠性和准确性的系统评价。
Nutrients. 2023 Jan 7;15(2):302. doi: 10.3390/nu15020302.
6
Longitudinal Changes in Fat and Lean Mass: Comparisons between 3D-Infrared and Dual-Energy X-ray Absorptiometry Scans in Athletes.脂肪和瘦体重的纵向变化:运动员的三维红外扫描与双能X线吸收法扫描的比较
Int J Exerc Sci. 2022 Dec 1;15(4):1587-1599. doi: 10.70252/ARQN5804. eCollection 2022.
7
Digital Single-Image Smartphone Assessment of Total Body Fat and Abdominal Fat Using Machine Learning.基于机器学习的数字单图像智能手机全身脂肪和腹部脂肪评估。
Sensors (Basel). 2022 Oct 31;22(21):8365. doi: 10.3390/s22218365.
8
Smartphone camera based assessment of adiposity: a validation study.基于智能手机摄像头的肥胖评估:一项验证研究。
NPJ Digit Med. 2022 Jun 29;5(1):79. doi: 10.1038/s41746-022-00628-3.
9
Assessment of clinical measures of total and regional body composition from a commercial 3-dimensional optical body scanner.评估商用 3 维光学体成分扫描仪的总体和局部身体成分的临床指标。
Clin Nutr. 2022 Jan;41(1):211-218. doi: 10.1016/j.clnu.2021.11.031. Epub 2021 Dec 7.
10
Come Back Skinfolds, All Is Forgiven: A Narrative Review of the Efficacy of Common Body Composition Methods in Applied Sports Practice.回来吧皮褶厚度,既往不咎:常见身体成分测量方法在运动实践中应用的功效的叙述性综述。
Nutrients. 2021 Mar 25;13(4):1075. doi: 10.3390/nu13041075.