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A technique to assess body composition and sarcopenia using DXA: application for an obese population.
Eur J Clin Nutr 2010; 64(2):218-20EJ

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 (M+/-s.d.; BMI=24.5+/-4.6 kg/m(2)) 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 (aLM(WB)), with the latter determined by summing arm and leg mineral-free lean mass (MFLM). Strong agreement and no differences (M+/-s.d.(DIFF)) were found between FM(WB) and FM(SUM) (-0.12+/-0.38 kg, P=0.37; r=0.999, P<0.001); MFLM(WB) and MFLM(SUM) (0.02+/-0.36 kg, P=0.80; r=0.998, P<0.001); and aLM(WB) and aLM(SUM) (0.12+/-0.32 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.

Authors+Show Affiliations

Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Urbana, IL, USA. elevans@illinois.eduNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Validation Study

Language

eng

PubMed ID

19904294

Citation

Evans, E M., et al. "A Technique to Assess Body Composition and Sarcopenia Using DXA: Application for an Obese Population." European Journal of Clinical Nutrition, vol. 64, no. 2, 2010, pp. 218-20.
Evans EM, Misic MM, Mallard DM. A technique to assess body composition and sarcopenia using DXA: application for an obese population. Eur J Clin Nutr. 2010;64(2):218-20.
Evans, E. M., Misic, M. M., & Mallard, D. M. (2010). A technique to assess body composition and sarcopenia using DXA: application for an obese population. European Journal of Clinical Nutrition, 64(2), pp. 218-20. doi:10.1038/ejcn.2009.128.
Evans EM, Misic MM, Mallard DM. A Technique to Assess Body Composition and Sarcopenia Using DXA: Application for an Obese Population. Eur J Clin Nutr. 2010;64(2):218-20. PubMed PMID: 19904294.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A technique to assess body composition and sarcopenia using DXA: application for an obese population. AU - Evans,E M, AU - Misic,M M, AU - Mallard,D M, Y1 - 2009/11/11/ PY - 2009/11/12/entrez PY - 2009/11/12/pubmed PY - 2010/4/15/medline SP - 218 EP - 20 JF - European journal of clinical nutrition JO - Eur J Clin Nutr VL - 64 IS - 2 N2 - 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 (M+/-s.d.; BMI=24.5+/-4.6 kg/m(2)) 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 (aLM(WB)), with the latter determined by summing arm and leg mineral-free lean mass (MFLM). Strong agreement and no differences (M+/-s.d.(DIFF)) were found between FM(WB) and FM(SUM) (-0.12+/-0.38 kg, P=0.37; r=0.999, P<0.001); MFLM(WB) and MFLM(SUM) (0.02+/-0.36 kg, P=0.80; r=0.998, P<0.001); and aLM(WB) and aLM(SUM) (0.12+/-0.32 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. SN - 1476-5640 UR - https://www.unboundmedicine.com/medline/citation/19904294/A_technique_to_assess_body_composition_and_sarcopenia_using_DXA:_application_for_an_obese_population_ L2 - http://dx.doi.org/10.1038/ejcn.2009.128 DB - PRIME DP - Unbound Medicine ER -