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超越体重指数:使用3D智能手机应用程序进行准确的代谢疾病风险表型分析。

Beyond Body Mass Index: Accurate Metabolic Disease-Risk Phenotyping With 3D Smartphone Application.

作者信息

McCarthy Cassidy, Tinsley Grant M, Ramirez Sophia, Heymsfield Steven B

机构信息

Pennington Biomedical Research Center Louisiana State University System Baton Rouge Louisiana USA.

Department of Kinesiology and Sport Management Texas Tech University Lubbock Texas USA.

出版信息

Obes Sci Pract. 2024 Nov 29;10(6):e70025. doi: 10.1002/osp4.70025. eCollection 2024 Dec.

DOI:10.1002/osp4.70025
PMID:39619052
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11606355/
Abstract

OBJECTIVE

Smartphone applications (apps) with optical imaging capabilities are transforming the field of physical anthropometry; digital measurements of body size and shape in clinical settings are increasingly feasible. Currently available apps are usually designed around the capture of two-dimensional images that are then transformed with app software to three-dimensional (3D) avatars that can be used for digital anthropometry. The aim of the current study was to compare waist circumference (WC), hip circumference (HC), four other circumferences (right/left upper arm, thigh) and WC/HC evaluated with a novel high-precision 3D smartphone app to ground-truth measurements made with a flexible tape by a trained anthropometrist.

METHODS

Forty-four participants aged 20-78 years and body mass index 18.5-48.5 kg/m completed digital and manual circumference evaluations and dual-energy X-ray absorptiometry for visceral adipose tissue mass (VAT).

RESULTS

3D-digital and ground-truth tape WC, HC, and WC/HC estimates were highly correlated ( s, 0.90-0.97,  < 0.001), mean 3D and tape group means at each site did not differ significantly, mean absolute (± SD) and root-mean square errors were low (e.g., WC, 3.4 ± 2.6 and 4.4 cm), and strong concordance correlations were present (0.90-0.99); bias with Bland-Altman analyses was small but significant ( < 0.001) for WC and WC/HC. Comparable results were observed for the four other circumferences. VAT was equally well-correlated with 3D and tape WC measurements ( s 0.70, 0.69, both  < 0.001); comparable tape-3D VAT-WC/HC associations were also observed in males ( s, 0.85, 0.73, both  < 0.001) and females ( s, 0.43,  < 0.01; 0.73,  < 0.001).

CONCLUSIONS

Digital anthropometry, with accessible technology such as the evaluated novel 3D app, has reached a sufficiently developed stage to go beyond body mass index for phenotyping patient's metabolic disease risks.

摘要

目的

具备光学成像功能的智能手机应用程序(应用)正在改变人体测量学领域;在临床环境中对身体尺寸和形状进行数字测量变得越来越可行。目前可用的应用通常围绕二维图像的捕捉进行设计,然后通过应用程序软件将其转换为可用于数字人体测量的三维(3D)虚拟形象。本研究的目的是比较使用一款新型高精度3D智能手机应用评估的腰围(WC)、臀围(HC)、其他四个周长(右上臂/左上臂、大腿)以及WC/HC与经过培训的人体测量师用软尺进行的实际测量结果。

方法

44名年龄在20 - 78岁、体重指数为18.5 - 48.5kg/m²的参与者完成了数字和手动周长评估以及用于测量内脏脂肪组织量(VAT)的双能X线吸收法。

结果

3D数字测量与实际软尺测量的WC、HC和WC/HC估计值高度相关(r,0.90 - 0.97,P < 0.001),每个部位的3D测量均值与软尺测量均值无显著差异,平均绝对(±标准差)和均方根误差较低(例如,WC为3.4 ± 2.6和4.4cm),且存在强一致性相关性(0.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11606355/9d4d739c3497/OSP4-10-e70025-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11606355/1d725c92e2a7/OSP4-10-e70025-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11606355/c9b5f5f2008d/OSP4-10-e70025-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11606355/9d4d739c3497/OSP4-10-e70025-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11606355/1d725c92e2a7/OSP4-10-e70025-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11606355/c9b5f5f2008d/OSP4-10-e70025-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b47/11606355/9d4d739c3497/OSP4-10-e70025-g003.jpg

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