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Reliability of body composition assessment using A-mode ultrasound in a heterogeneous sample
- Source :
- European Journal of Clinical Nutrition. March, 2021, Vol. 75 Issue 3, p438, 8 p.
- Publication Year :
- 2021
-
Abstract
- Background/Objectives Several studies have addressed the validity of ultrasound (US) for body composition assessment, but few have evaluated its reliability. This study aimed to determine the reliability of percent body fat (%BF) estimates using A-mode US in a heterogeneous sample. Subjects/Methods A group of 144 healthy adults (81 men and 63 women), 30.4 (10.1) years (mean (SD)), BMI 24.6 (4.7) kg/m.sup.2, completed 6 consecutive measurements of the subcutaneous fat layer thickness at 8 anatomical sites. The measurements were done, alternatively, by two testers, using a BodyMetrix[TM] instrument. To compute %BF, 4 formulas from the BodyView[TM] software were applied: 7-sites Jackson and Pollock, 3-sites Jackson and Pollock, 3-sites Pollock, and 1-point biceps. Results The formula with the most anatomic sites provided the best reliability quantified by the following measures: intraclass correlation coefficient (ICC) = 0.979 for Tester 1 (T1) and 0.985 for T2, technical error of measurement (TEM) = 1.07% BF for T1 and 0.89% BF for T2, and minimal detectable change (MDC) = 2.95% BF for T1, and 2.47% BF for T2. The intertester bias was -0.5% BF, whereas the intertester ICC was 0.972. The intertester MDC was 3.43% BF for the entire sample, 3.24% BF for men, and 3.65% BF for women. Conclusions A-mode US is highly reliable for %BF assessments, but it is more precise for men than for women. Examiner performance is a source of variability that needs to be mitigated to further improve the precision of this technique.<br />Author(s): Monica Miclos-Balica [sup.1] , Paul Muntean [sup.1] , Falk Schick [sup.1] , Horia G. Haragus [sup.2] , Bogdan Glisici [sup.1] , Vasile Pupazan [sup.1] , Adrian Neagu [sup.1] [sup.3] [...]
Details
- Language :
- English
- ISSN :
- 09543007
- Volume :
- 75
- Issue :
- 3
- Database :
- Gale General OneFile
- Journal :
- European Journal of Clinical Nutrition
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.655716578
- Full Text :
- https://doi.org/10.1038/s41430-020-00743-y