Short Communication

European Journal of Clinical Nutrition advance online publication 11 November 2009; doi: 10.1038/ejcn.2009.128

A technique to assess body composition and sarcopenia using DXA: application for an obese population

Contributors: EME designed the experiment, analyzed the data and wrote the manuscript. MMM also designed the experiment, collected the data, cleaned the data set and edited the manuscript. DMM collected the data and managed the data set.

E M Evans1, M M Misic1 and D M Mallard1

1Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA

Correspondence: Dr EM Evans, Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, 352 Freer Hall, MC-052, 906 S. Goodwin Avenue, Urbana, IL 61801, USA. E-mail: elevans@illinois.edu

Received 21 January 2009; Revised 3 August 2009; Accepted 5 August 2009; Published online 11 November 2009.

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Abstract

The objective of this study was to explore the accuracy of summing multiple dual-energy X-ray absorptiometry (DXA) scans to estimate whole-body soft tissue measures and the sarcopenic index in female subjects for application to an obese population. Forty-five women who fit within the DXA scanning region (Mplusminuss.d.; BMI=24.5plusminus4.6 kg/m2) were scanned four times (one normal whole body (WB) scan, one head/trunk/leg scan allowing trunk delineation (TRK–H–L), one scan with body shifted right (LA) and one left (RA) to allow arm delineation). Fat mass (FM) and appendicular lean mass were determined from the WB scan (aLMWB), with the latter determined by summing arm and leg mineral-free lean mass (MFLM). Strong agreement and no differences (Mplusminuss.d.DIFF) were found between FMWB and FMSUM (–0.12plusminus0.38 kg, P=0.37; r=0.999, P<0.001); MFLMWB and MFLMSUM (0.02plusminus0.36 kg, P=0.80; r=0.998, P<0.001); and aLMWB and aLMSUM (0.12plusminus0.32 kg, P=0.63; r=0.994, P<0.001). Summing DXA scans is a valid method for determining the risk for sarcopenic obesity and may aid research regarding obesity and risk for disability.

Keywords:

measurement, appendicular lean mass, sarcopenic index

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