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A comparison of body composition estimates using dual-energy X-ray absorptiometry and air-displacement plethysmography in South African neonates.
- Source :
- European Journal of Clinical Nutrition; Nov2016, Vol. 70 Issue 11, p1254-1258, 5p, 1 Chart, 2 Graphs
- Publication Year :
- 2016
-
Abstract
- <bold>Background/objectives: </bold>Neonatal body composition is an important predictor of future metabolic risk; however, the comparability of objective assessment techniques, particularly in African populations undergoing rapid health transition, is not known. This paper compares body composition estimates by air-displacement plethysmography (ADP) and dual-energy X-ray absorptiometry (DXA) in South African neonates.<bold>Subjects/methods: </bold>Fat mass, fat-free mass and body fat percentage (%fat) estimates by ADP and DXA were compared in 88 urban, black South African neonates. The level of agreement between the techniques was assessed using Bland-Altman analyses.<bold>Results: </bold>Significant correlations were observed between ADP and DXA measurements of fat mass (r=0.766), fat-free mass (r=0.942) and %fat (r=0.630); however, ADP estimates of fat mass (408±172 g vs 337±165 g; P<0.001) and %fat (12.9±4.4% vs 9.9±4%; P<0.001) were significantly higher and fat-free mass (2681±348 g vs 2969±375 g; P<0.001) significantly lower than those by DXA. Fat-free mass estimates showed greater consistency in the level of agreement between the techniques compared with fat and %fat estimates where the differences between methods were less predictable.<bold>Conclusion: </bold>Although ADP and DXA body composition estimates are highly correlated in neonates, significant differences are observed between the techniques. This is particularly relevant for fat mass and %fat estimates, where differences are highly variable between methods. Further investigation is needed to minimise inter-method differences to ensure accurate and comparable assessment of body composition at birth and across longitudinal study follow-up. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09543007
- Volume :
- 70
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- European Journal of Clinical Nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 122303026
- Full Text :
- https://doi.org/10.1038/ejcn.2016.91