Validity and reliability of dual-energy X-ray absorptiometry for the assessment of abdominal adiposity

Scott G. Glickman, Charles S. Marn, Mark A. Supiano, Donald R. Dengel

Research output: Contribution to journalArticlepeer-review

220 Scopus citations

Abstract

A number of methods exist for the estimation of abdominal obesity, ranging from waist-to-hip ratio to computed tomography (CT). Although dual-energy X-ray absorptiometry (DXA) was originally used to measure bone density and total body composition, recent improvements in software allow it to determine abdominal fat mass. Sixty-five men and women aged 18-72 yr participated in a series of studies to examine the validity and reliability of the DXA to accurately measure abdominal fat. Total body fat and abdominal regional fat were measured by DXA using a Lunar DPX-IQ. Multislice CT scans were performed between L1 and L4 vertebral bodies (region of interest) using a Picker PQ5000 CT scanner, and volumetric analyses were carried out on a Voxel Q workstation. Both abdominal total tissue mass (P = 0.02) and abdominal fat mass (P < 0.0001) in the L1-L4 region of interest were significantly lower as measured by DXA compared with multislice CT. However, Bland-Altman analysis demonstrated good concordance between DXA and CT for abdominal total tissue mass (i.e., limits of agreement = -1.56-2.54 kg) and fat mass (i.e., limits of agreement = -0.40-1.94 kg). DXA also showed excellent reliability among three different operators to determine total, fat, and lean body mass in the L1-L4 region of interest (intraclass correlations, R = 0.94, 0.97, and 0.89, respectively). In conclusion, the DXA L1-L4 region of interest compared with CT proved to be both reliable and accurate method to determine abdominal obesity.

Original languageEnglish (US)
Pages (from-to)509-514
Number of pages6
JournalJournal of applied physiology
Volume97
Issue number2
DOIs
StatePublished - Aug 2004

Bibliographical note

Funding Information:
This work was supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health (1-U54NS081764); the National Institute on Aging of the National Institutes of Health (1K24AG047899-02, P30-AG021684, and P30AG028748); and AARP. This paper was published as part of a supplement sponsored and funded by AARP. The statements and opinions expressed herein by the authors are for information, debate, and discussion, and do not necessarily represent official policies of AARP.

Keywords

  • Body fat
  • Computed tomography
  • Regional composition

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