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Ashby, J. 
ORCID: 0000-0002-5340-3095, Lewis, M., Sunderland, C. ORCID: 0000-0001-7484-1345, Barrett, L.A. and Morris, J.G. ORCID: 0000-0001-6508-7897,
2023.
The reliability and validity of a portable three-dimensional scanning system to measure leg volume.
Sensors, 23 (22): 9177.
ISSN 1424-8220
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Abstract
(1) Background: The study examined the reliability (test–retest, intra- and inter-day) and validity of a portable 3D scanning method when quantifying human leg volume. (2) Methods: Fifteen males volunteered to participate (age, 24.6 ± 2.0 years; stature, 178.9 ± 4.5 cm; body mass, 77.4 ± 6.5 kg; mean ± standard deviation). The volume of the lower and upper legs was examined using a water displacement method (the criterion) and two consecutive 3D scans. Measurements were taken at baseline, 1 h post-baseline (intra-day) and 24 h post-baseline (inter-day). Reliability and validity of the 3D scanning method was assessed using Bland–Altman limits of agreement and Pearson’s product moment correlations. (3) Results: With respect to the test–retest reliability, the 3D scanning method had smaller systematic bias and narrower limits of agreement (±1%, and 3–5%, respectively) compared to the water displacement method (1–2% and 4–7%, respectively), when measuring lower and upper leg volume in humans. The correlation coefficients for all reliability comparisons (test–retest, intra-day, inter-day) would all be regarded as ‘very strong’ (all 0.94 or greater). (4) Conclusions: The study’s results suggest that a 3D scanning method is a reliable and valid method to quantify leg volume.
| Item Type: | Journal article | ||||||
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| Publication Title: | Sensors | ||||||
| Creators: | Ashby, J., Lewis, M., Sunderland, C., Barrett, L.A. and Morris, J.G. | ||||||
| Publisher: | MDPI AG | ||||||
| Date: | 14 November 2023 | ||||||
| Volume: | 23 | ||||||
| Number: | 22 | ||||||
| ISSN: | 1424-8220 | ||||||
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| Rights: | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Laura Ward | ||||||
| Date Added: | 22 Dec 2023 15:16 | ||||||
| Last Modified: | 22 Dec 2023 15:16 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/50596 |
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