D A Fields1, A M Teague1, K R Short1, S D Chernausek1. 1. CMRI Metabolic Research Program, the Harold Hamm Diabetes Center, Section of Endocrinology and Diabetes, Department of Pediatrics, University of Oklahoma Health Sciences, Oklahoma City, OK, USA.
Abstract
BACKGROUND: Detailed measures of infant body composition are needed for understanding the impact of genes and environment on growth early in life. OBJECTIVE: The purpose of this study was to compare the accuracy and bias of body composition in infants. METHODS: Dual energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI) were used to determine body composition and the trunk depot. The depots measured were total fat mass (FM), total fat-free mass (FFM) and trunk FM and FFM using DXA and MRI in 14 infants. RESULTS: None of the regression lines between DXA and MRI significantly deviate from the line of identity for any of the depots studied. However, Bland-Altman analyses revealed bias for trunk FM and trunk FFM. CONCLUSION: Our data showed DXA to be accurate (regression not significantly deviating from the line of identity), with high agreement (indicated by high R(2) ) and without bias (non-significant Bland-Altman) when estimating total FM and FFM. This could not be said for trunk estimates.
BACKGROUND: Detailed measures of infant body composition are needed for understanding the impact of genes and environment on growth early in life. OBJECTIVE: The purpose of this study was to compare the accuracy and bias of body composition in infants. METHODS: Dual energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI) were used to determine body composition and the trunk depot. The depots measured were total fat mass (FM), total fat-free mass (FFM) and trunk FM and FFM using DXA and MRI in 14 infants. RESULTS: None of the regression lines between DXA and MRI significantly deviate from the line of identity for any of the depots studied. However, Bland-Altman analyses revealed bias for trunk FM and trunk FFM. CONCLUSION: Our data showed DXA to be accurate (regression not significantly deviating from the line of identity), with high agreement (indicated by high R(2) ) and without bias (non-significant Bland-Altman) when estimating total FM and FFM. This could not be said for trunk estimates.
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