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Reliability of a Novel Automated Ultrasound Technology for Body Composition Assessment and Comparisons with Dual Energy X-Ray Absorptiometry.

Authors :
Bradley AP
Klawitter L
Carver E
Johnson Z
McGrath R
Stastny S
Christensen B
Hackney KJ
Source :
International journal of exercise science [Int J Exerc Sci] 2023 Mar 01; Vol. 16 (4), pp. 393-401. Date of Electronic Publication: 2023 Mar 01 (Print Publication: 2023).
Publication Year :
2023

Abstract

Body composition tools vary in reliability, portability, and accessibility. The purpose of this study was to evaluate test-retest reliability of MuscleSound® (MS) and dual-energy x-ray absorptiometry (DXA) for both two compartment (region) and three compartment (tissue) models. A secondary aim was to compare body composition values produced by both devices. Fifty participants ( n = 25 male, n = 25 female) aged 18-39 years completed two body composition assessments, twice in a single session. Participants arrived at the lab after a 12-hour fast. DXA required participants to lay supine for 10-15 minutes during the scanning process. Thereafter, MS was utilized to measure subcutaneous adipose tissue thickness at seven sites: chest, subscapula, triceps, axilla, suprailium, abdomen, and mid-thigh. MS automatically estimated body composition utilizing a modified Jackson-Pollock equation and the Siri equation within the software. The sequence of assessments was then repeated. Statistical analysis included paired T-tests with Pearson correlations, intraclass correlation coefficients (ICC), and least significant change (LSC). Both methods were strongly reliable (ICC <subscript>MS</subscript> = .997, ICC <subscript>DXA-region</subscript> = .999, ICC <subscript>DXA-tissue</subscript> = .999). MS and DXA-region body fat percentages were significantly different (mean difference (%): 2.60 ± 1.32, p < .001) but highly correlated ( r = .928, p < .001). Notably, the mean difference was within DXA-region's calculated least significant change of 3.24%. MS is reliable for assessing body fat percentage in young and middle-aged adults and operators can utilize MS to collect body composition data in the field.

Details

Language :
English
ISSN :
1939-795X
Volume :
16
Issue :
4
Database :
MEDLINE
Journal :
International journal of exercise science
Publication Type :
Academic Journal
Accession number :
37125216