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

Marc K. K. Smith, Jonathan M. D. Staynor, Amar El-Sallam, Jay R. R. Ebert, Tim R. R. Ackland

Research output: Contribution to journalArticlepeer-review

1 Citation (Web of Science)

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 (Delta BM: MD = 0 center dot 12 kg, SEE = 2 center dot 82 kg; Delta BF%: MD = 0 center dot 06 %, SEE = 1 center dot 65 %; Delta FFM: MD = 0 center dot 17 kg, SEE = 1 center dot 65 kg; Delta WC: MD = 1 center dot 16 cm, SEE = 2 center dot 52 cm). Concordance correlation coefficient (CCC) assessed longitudinal agreement between the SPA and GT methods, with moderate concordance (CCC: 0 center dot 55-0 center dot 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.
Original languageEnglish
Pages (from-to)1260-1266
Number of pages7
JournalBritish Journal of Nutrition
Volume130
Issue number7
Early online date26 Jan 2023
DOIs
Publication statusPublished - 14 Oct 2023

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