School of Medicine, National Autonomous University of Mexico (UNAM), Mexico City 04510, Mexico.
Research Subdirectorate, Children's Hospital of Mexico Federico Gómez, Dr. Marquez St. 162, Colonia Doctores, Mexico City 06720, Mexico.
Nutrients. 2024 Jan 29;16(3):384. doi: 10.3390/nu16030384.
Body composition assessment using instruments such as dual X-ray densitometry (DXA) can be complex and their use is often limited to research. This cross-sectional study aimed to develop and validate a densitometric method for fat mass (FM) estimation using 3D cameras. Using two such cameras, stereographic images, and a mesh reconstruction algorithm, 3D models were obtained. The FM estimations were compared using DXA as a reference. In total, 28 adults, with a mean BMI of 24.5 (±3.7) kg/m and mean FM (by DXA) of 19.6 (±5.8) kg, were enrolled. The intraclass correlation coefficient (ICC) for body volume (BV) was 0.98-0.99 (95% CI, 0.97-0.99) for intra-observer and 0.98 (95% CI, 0.96-0.99) for inter-observer reliability. The coefficient of variation for kinetic BV was 0.20 and the mean difference (bias) for BV (liter) between Bod Pod and Kinect was 0.16 (95% CI, -1.2 to 1.6), while the limits of agreement (LoA) were 7.1 to -7.5 L. The mean bias for FM (kg) between DXA and Kinect was -0.29 (95% CI, -2.7 to 2.1), and the LoA was 12.1 to -12.7 kg. The adjusted R obtained using an FM regression model was 0.86. The measurements of this 3D camera-based system aligned with the reference measurements, showing the system's feasibility as a simpler, more economical screening tool than current systems.
使用双能 X 射线吸收仪（DXA）等仪器进行人体成分评估可能较为复杂，且其通常仅应用于研究中。本横断面研究旨在开发并验证一种基于 3D 摄像机的脂肪量（FM）估算的密度测定法。使用两个这样的摄像机、体视图像和网格重建算法，获得 3D 模型。并将这些 FM 估算值与 DXA 作为参考进行比较。共纳入 28 名成年人，平均 BMI 为 24.5（±3.7）kg/m，平均 FM（通过 DXA）为 19.6（±5.8）kg。观察者内体容积（BV）的组内相关系数（ICC）为 0.98-0.99（95%置信区间，0.97-0.99），观察者间可靠性为 0.98（95%置信区间，0.96-0.99）。动力学 BV 的变异系数为 0.20，Bod Pod 和 Kinect 之间 BV（升）的平均差值（偏差）为 0.16（95%置信区间，-1.2 至 1.6），而一致性界限（LoA）为 7.1 至-7.5 L。DXA 和 Kinect 之间 FM（kg）的平均偏差为-0.29（95%置信区间，-2.7 至 2.1），LoA 为 12.1 至-12.7 kg。使用 FM 回归模型获得的调整 R 值为 0.86。该 3D 摄像机系统的测量值与参考测量值一致，表明该系统作为一种比当前系统更简单、更经济的筛选工具具有可行性。
