The reliability and validity of a portable three-dimensional scanning system to measure leg volume

Ashby, J ORCID: https://orcid.org/0000-0002-5340-3095, Lewis, M, Sunderland, C ORCID: https://orcid.org/0000-0001-7484-1345, Barrett, LA and Morris, JG ORCID: https://orcid.org/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
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
Identifiers:	Number Type 10.3390/s23229177 DOI 1848343 Other
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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