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在孤立条件和偏远环境下,将身体形态作为人体成分评估方法的评估。

Evaluation of body shape as a human body composition assessment in isolated conditions and remote environments.

作者信息

Wong Michael C, Bennett Jonathan P, Leong Lambert T, Liu Yong E, Kelly Nisa N, Cherry John, Kloza Kate, Li Bosco, Iuliano Sandra, Sibonga Jean, Sawyer Aenor, Ayton Jeff, Shepherd John A

机构信息

Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, USA.

Polar Medicine Unit, Australian Antarctic Division, Kingston, Australia.

出版信息

NPJ Microgravity. 2024 Jun 24;10(1):72. doi: 10.1038/s41526-024-00412-5.

DOI:10.1038/s41526-024-00412-5
PMID:38914554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11196706/
Abstract

Individuals in isolated and extreme environments can experience debilitating side-effects including significant decreases in fat-free mass (FFM) from disuse and inadequate nutrition. The objective of this study was to determine the strengths and weaknesses of three-dimensional optical (3DO) imaging for monitoring body composition in either simulated or actual remote environments. Thirty healthy adults (ASTRO, male = 15) and twenty-two Antarctic Expeditioners (ABCS, male = 18) were assessed for body composition. ASTRO participants completed duplicate 3DO scans while standing and inverted by gravity boots plus a single dual-energy X-ray absorptiometry (DXA) scan. The inverted scans were an analog for fluid redistribution from gravity changes. An existing body composition model was used to estimate fat mass (FM) and FFM from 3DO meshes. 3DO body composition estimates were compared to DXA with linear regression and reported with the coefficient of determination (R) and root mean square error (RMSE). ABCS participants received only duplicate 3DO scans on a monthly basis. Standing ASTRO meshes achieved an R of 0.76 and 0.97 with an RMSE of 2.62 and 2.04 kg for FM and FFM, while inverted meshes achieved an R of 0.52 and 0.93 with an RMSE of 2.84 and 3.23 kg for FM and FFM, respectively, compared to DXA. For the ABCS arm, mean weight, FM, and FFM changes were -0.47, 0.06, and -0.54 kg, respectively. Simulated fluid redistribution decreased the accuracy of estimated body composition values from 3DO scans. However, FFM stayed robust. 3DO imaging showed good absolute accuracy for body composition assessment in isolated and remote environments.

摘要

处于孤立和极端环境中的个体可能会经历使人衰弱的副作用,包括因缺乏运动和营养不足导致的去脂体重(FFM)显著下降。本研究的目的是确定三维光学(3DO)成像在模拟或实际偏远环境中监测身体成分的优缺点。对30名健康成年人(ASTRO组,男性 = 15名)和22名南极探险队员(ABCS组,男性 = 18名)的身体成分进行了评估。ASTRO组参与者在站立状态下以及通过重力靴倒挂时完成了两次重复的3DO扫描,外加一次双能X线吸收法(DXA)扫描。倒挂扫描模拟了重力变化引起的液体重新分布。使用现有的身体成分模型从3DO网格估计脂肪量(FM)和去脂体重(FFM)。通过线性回归将3DO身体成分估计值与DXA进行比较,并报告决定系数(R)和均方根误差(RMSE)。ABCS组参与者每月仅接受两次重复的3DO扫描。与DXA相比,站立状态下的ASTRO组网格对于FM和FFM的R值分别为0.76和0.97,RMSE分别为2.62和2.04千克,而倒挂网格对于FM和FFM的R值分别为0.52和0.93;RMSE分别为2.84和3.23千克。对于ABCS组,平均体重、FM和FFM变化分别为 -0.47、0.06和 -0.54千克。模拟的液体重新分布降低了3DO扫描估计身体成分值的准确性。然而,去脂体重保持稳定。对于孤立和偏远环境中的身体成分评估,3DO成像显示出良好的绝对准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b74/11196706/c94b5bf16478/41526_2024_412_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b74/11196706/26a17b8b648e/41526_2024_412_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b74/11196706/c94b5bf16478/41526_2024_412_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b74/11196706/26a17b8b648e/41526_2024_412_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b74/11196706/c94b5bf16478/41526_2024_412_Fig2_HTML.jpg

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