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http://hdl.handle.net/10397/111883
Title: | Utilizing anthropometric measurements and 3D scanning for health assessment in clinical practice | Authors: | Wang, M Song, Y Zhao, X Wang, Y Zhang, M |
Issue Date: | 2024 | Source: | Physical activity and health, 2024, v. 8, no. 1, p. 182-196 | Abstract: | Anthropometric measurement as a traditional method for estimating human body dimension has been widely used among diverse scientific disciplines. In the clinical setting, anthropometric data could be used to assess body composition and nutrition status, predict obesity-related health risks, and respond to treatments. Nowadays, the development of 3D scanning technology and in-depth data analysis has innovated the way of anthropometric measurement and its application. This study provides an overview of the current application of anthropometric measurement in clinical practice, we first describe the application of anthropometric indicators in the health assessment, and highlight its advantages and limitations. We then outline 3D scanning technology for anthropometric measurement and explore its potential applications from various perspectives. Overall, regarding the application of anthropometric measurements in health assessment, it is essential to establish assessment criteria targeted to specific population groups, considering the diversity in anthropometric characteristics among various ages, genders, ethnicities, and demographics. Furthermore, with the development of statistical modelling techniques, the extensive anthropometric data collected by 3D scanning can achieve its maximum benefit in the field of biological health. | Keywords: | 3D scanning Aging Anthropometric indicator Anthropometry Body composition Obesity |
Publisher: | Ubiquity Press Ltd. | Journal: | Physical activity and health | EISSN: | 2515-2270 | DOI: | 10.5334/paah.379 | Rights: | © 2024 The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. See http://creativecommons.org/licenses/by/4.0/. The following publication Wang, M., Song, Y., Zhao, X., Wang, Y. and Zhang, M. (2024) ‘Utilizing Anthropometric Measurements and 3D Scanning for Health Assessment in Clinical Practice’, Physical Activity and Health, 8(1), p. 182–196 is available at https://doi.org/10.5334/paah.379. |
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