Smartphone derived anthropometrics: Agreement between a commercially available smartphone application and its parent application intended for use at point-of-care

Bibliographic Details
Title: Smartphone derived anthropometrics: Agreement between a commercially available smartphone application and its parent application intended for use at point-of-care
Authors: Austin J. Graybeal, Caleb F. Brandner, Abby T. Compton, Sydney H. Swafford, Alex Henderson, Ryan Aultman, Anabelle Vallecillo-Bustos, Jon Stavres
Source: Clinical Nutrition ESPEN. 59:107-112
Publisher Information: Elsevier BV, 2024.
Publication Year: 2024
Subject Terms: Adult, body composition, Adolescent, Anthropometry, Point-of-Care Systems, body circumference, Life Sciences, smartphone, Young Adult, body far, Body Composition, anthropometrics, Humans, 3D scanning, Smartphone, Waist Circumference, Human and Clinical Nutrition, Nutrition
Description: Smartphone applications can now automate body composition and anthropometric measurements remotely, prompting applications intended for use at point-of-care to provide commercially available smartphone applications intended for personal use. However, the agreement between such anthropometrics remain unclear.A total of 123 apparently healthy participants (F: 69; M: 54; age: 28.1 ± 11.3; BMI: 26.9 ± 5.9) completed consecutive body composition scans using a 3D smartphone application intended for personal use (MeThreeSixty; MTS) and it stationary counterpart intended for use in practice (Mobile Fit Booth; MFB). Agreement between devices were evaluated using root mean square error (RMSE), Bland-Altman analyses, and linear regression for all measurements, and additional equivalence testing was conducted for all circumference and limb length comparisons.When evaluated against the MFB, MTS significantly overestimated all measurements other than waist circumference (p = 0.670) using paired t-tests. RMSE was 2.5 % for body fat percentage (BF%), 0.64-3.74 cm for all body circumferences, 0.71-2.3 kg for all lean mass estimates, and 126-659 cm2 and 608-4672 cm3 across all body surface area and body volume estimates, respectively. BF% was the only body composition estimate that did not demonstrate proportional bias (p = 0.221). Circumferences of the chest, shoulder, biceps, forearm, and ankle all demonstrated proportional bias (all coefficients: p
Document Type: Article
Language: English
ISSN: 2405-4577
DOI: 10.1016/j.clnesp.2023.11.021
Access URL: https://pubmed.ncbi.nlm.nih.gov/38220362
Rights: Elsevier TDM
Accession Number: edsair.doi.dedup.....76db3651ccbbcefcb77c66cd755971d2
Database: OpenAIRE
Description
ISSN:24054577
DOI:10.1016/j.clnesp.2023.11.021