Validity and Reliability of a 4-Compartment Body Composition Model Using Dual Energy X-Ray Absorptiometry-Derived Body Volume

Details

• Personal Author:
  Gerstner GR ; Hirsch KR ; Mock MG ; Ryan ED ; Smith-Ryan AE ; Trexler ET
• Description:
  Background: Body volume (BV), one component of a four-compartment (4C) body composition model, is commonly assessed using air displacement plethysmography (BodPod). However, dual-energy x-ray absorptiometry (DEXA) has been proposed as an alternative method for calculating BV. Aims: This investigation evaluated the validity and reliability of DEXA-derived BV measurement and a DEXA-derived 4C model (DEXA-4C) for percent body fat (%BF), fat mass (FM), and lean mass (LM). Methods: A total sample of 127 men and women (Mean +/- SD; Age: 35.8 +/- 9.4 years; Body Mass: 98.1 +/- 20.9 kg; Height: 176.3 +/- 9.2 cm) completed a traditional 4C body composition reference assessment. A DEXA-4C model was created by linearly regressing BodPod BV with DEXA FM, LM, and bone mineral content as independent factors. The DEXA-4C model was validated in a random sub-sample of 27 subjects. Reliability was evaluated in a sample of 40 subjects that underwent a second session of identical testing. Results: When BV derived from DEXA was applied to a 4C model, there were no significant differences in %BF (p = 0.404), FM (p = 0.295), or LM (p = 0.295) when compared to the traditional 4C model. The approach was also reliable; BV was not different between trials (p = 0.170). For BV, %BF, FM, and LM relative consistency values ranged from 0.995 to 0.998. Standard error of measurement for BV was 0.62 L, ranging from 0.831 to 0.960 kg. There were no significant differences between visits for %BF (p = 0.075), FM (p = 0.275), or LM (p = 0.542). Conclusion: The DEXA-4C model appears to be a valid and reliable method of estimating %BF, FM, and LM. The prediction of BV from DEXA simplifies the acquisition of 4C body composition by eliminating the need for an additional BV assessment. [Description provided by NIOSH]
• Subjects:
  Body Weight Men Occupational Health Safety Women
• Keywords:
  Analytical Instruments Analytical Models Anthropometrical Systems Anthropometry Author Keywords: Anthropometry Bioelectrical Impedance Bioelectric Effects Body Distribution Body Measurements Body Regions Body Weight Fat Mass Fats Humans Lean Mass Models Percent Body Fat Performance Capability Performance Tests Physiological Measurements Plethysmographs Plethysmography Regression Analysis X-ray Absorption

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• ISSN:
  0261-5614
• Document Type:
  Text
• Funding:
  Grant
• Genre:
  Journal Article
• Place as Subject:
  North Carolina ; OSHA Region 4
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Volume:
  36
• Issue:
  3
• NIOSHTIC Number:
  nn:20050362
• Citation:
  Clin Nutr 2017 Jun; 36(3):825-830
• Contact Point Address:
  Abbie E. Smith-Ryan, Department of Exercise and Sport Science, 209 Fetzer Hall, CB #8700, University of North Carolina, Chapel Hill, NC 27599-8700, USA
• Email:
  abbsmith@email.unc.edu
• Federal Fiscal Year:
  2017
• Performing Organization:
  University of North Carolina, Chapel Hill
• Peer Reviewed:
  True
• Start Date:
  20050701
• Source Full Name:
  Clinical Nutrition
• End Date:
  20270630
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:2517ce9519d6e956fd82b22deeec8513a5572eaf2f4c9059c001a9b9f7a0f89a9008e0f8eccc10eaefaa43355a404544db29c7eaa814a59d4192deed2e1ef071
• Download URL:
  https://stacks.cdc.gov/view/cdc/210741/cdc_210741_DS1.pdf
• File Type:
  [PDF - 447.68 KB ]