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Longitudinal concordance of body composition and anthropometric assessment by a novel smartphone application across a 12-week self-managed weight loss intervention

Published online by Cambridge University Press:  26 January 2023

Marc K. Smith Open the ORCID record for Marc K. Smith [Opens in a new window] ,
Jonathan M. D. Staynor ,
Amar El-Sallam ,
Jay R. Ebert  and
Tim R. Ackland
Marc K. Smith*
Affiliation:
School of Human Sciences (Exercise and Sport Science), The University of Western Australia, WA, Australia Body Composition Technologies Pty Ltd, South Perth, WA, Australia
Jonathan M. D. Staynor
Affiliation:
Body Composition Technologies Pty Ltd, South Perth, WA, Australia
Amar El-Sallam
Affiliation:
Advanced Human Imaging LTD, South Perth, WA, Australia School of Computer Science and Software Engineering, The University of Western Australia, WA, Australia
Jay R. Ebert
Affiliation:
School of Human Sciences (Exercise and Sport Science), The University of Western Australia, WA, Australia
Tim R. Ackland
Affiliation:
School of Human Sciences (Exercise and Sport Science), The University of Western Australia, WA, Australia
*
*Corresponding author: Marc Smith, email marc.smith@research.uwa.edu.au
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Abstract

Smartphone applications (SPA) now offer the ability to provide accessible in-home monitoring of relevant individual health biomarkers. Previous cross-sectional validations of similar technologies have reported acceptable accuracy with high-grade body composition assessments; this research assessed longitudinal agreement of a novel SPA across a self-managed weight loss intervention of thirty-eight participants (twenty-one males, seventeen females). Estimations of body mass (BM), body fat percentage (BF%), fat-free mass (FFM) and waist circumference (WC) from the SPA were compared with ground truth (GT) measures from a dual-energy X-ray absorptiometry scanner and expert technician measurement. Small mean differences (MD) and standard error of estimate (SEE) were observed between method deltas (ΔBM: MD = 0·12 kg, SEE = 2·82 kg; ΔBF%: MD = 0·06 %, SEE = 1·65 %; ΔFFM: MD = 0·17 kg, SEE = 1·65 kg; ΔWC: MD = 1·16 cm, SEE = 2·52 cm). Concordance correlation coefficient (CCC) assessed longitudinal agreement between the SPA and GT methods, with moderate concordance (CCC: 0·55–0·73) observed for all measures. The novel SPA may not be interchangeable with high-accuracy medical scanning methods yet offers significant benefits in cost, accessibility and user comfort, in conjunction with the ability to monitor body shape and composition estimates over time.

Keywords

Two-dimensional imagesDual-energy X-ray absorptiometryDigital anthropometryWeight-loss monitoring
Type
Research Article
Information
British Journal of Nutrition , Volume 130 , Issue 7 , 14 October 2023 , pp. 1260 - 1266
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Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of The Nutrition Society

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