Application of a dual energy x-ray absorptiometry derived 4-compartment body composition model: Non-discriminatory against leanness and sex.

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  • Additional Information
    • Source:
      Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101654592 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2405-4577 (Electronic) Linking ISSN: 24054577 NLM ISO Abbreviation: Clin Nutr ESPEN Subsets: MEDLINE
    • Publication Information:
      Original Publication: [Oxford] : Elsevier Ltd., [2015]-
    • Subject Terms:
      Body Composition* ; Thinness*; Absorptiometry, Photon ; Adult ; Female ; Humans ; Male ; Overweight ; Reproducibility of Results ; Young Adult
    • Abstract:
      Background & Aims: Body composition assessment has large variability. A dual-energy x-ray absorptiometry (DXA) derived four compartment (4C) method has been developed as an accurate and reliable method for assessing body composition in overweight/obese adults. This investigation was aimed at understanding the validity of the DXA-derived 4C equation for use in normal weight individuals, stratified by sex, and with varied levels of lean mass. Values were also compared against DXA alone.
      Methods: 78 men and women (68% female; Mean ± SD; Age: 19.2 ± 1.2 yrs; Ht: 168.8 ± 9.1 cm; Wt: 62.8 ± kg) completed a traditional 4C body composition reference assessment. Body composition was also assessed using a DXA-4C model. Validity was evaluated from total error (TE), constant error, and standard error of the estimate (SEE). Proportional bias was identified with Bland Altman plots.
      Results: Although significantly different (p < 0.05) the DXA-4C model produced ideal TE and SEE compared to the 4C criterion for all body composition outcomes of fat mass (TE: 2.1 kg; SEE: 1.9 kg), lean mass (TE: 2.1 kg; SEE: 1.8 kg), and percent body fat (TE: 3.6%; SEE: 3.4%). Validity results did not differ for men vs. women. DXA-4C estimates were slightly better in individuals with higher lean mass. DXA alone resulted in significantly greater error than DXA-4C (p < 0.05).
      Conclusion: Body composition assessed from DXA-4C is an accurate approach, particularly in those with high levels of lean mass. This model appears to be more accurate than DXA alone.
      (Copyright © 2020 European Society for Clinical Nutrition and Metabolism. Published by Elsevier Ltd. All rights reserved.)
    • Contributed Indexing:
      Keywords: Fat free mass; Fat mass; Muscle mass; Percent body fat; Validity
    • Publication Date:
      Date Created: 20201113 Date Completed: 20210924 Latest Revision: 20210924
    • Publication Date:
      20231215
    • Accession Number:
      10.1016/j.clnesp.2020.09.033
    • Accession Number:
      33183569