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Evaluation of a Rapid Four-Compartment Model and Stand-Alone Methods in Hispanic Adults.
Nickerson, Brett S; Tinsley, Grant M; Park, Kyung-Shin; Nassar, Bassel; Czerwinski, Stefan A.
Affiliation
  • Nickerson BS; School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States; College of Nursing and Health Sciences, Texas A & M International University, Laredo, TX, United States. Electronic address: brett.nickerson@osumc.edu.
  • Tinsley GM; Department of Kinesiology and Sport Management, Texas Tech University, Lubbock, TX, United States.
  • Park KS; College of Nursing and Health Sciences, Texas A & M International University, Laredo, TX, United States.
  • Nassar B; School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States.
  • Czerwinski SA; School of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH, United States.
J Nutr ; 153(8): 2154-2162, 2023 08.
Article in En | MEDLINE | ID: mdl-37414360
ABSTRACT

BACKGROUND:

A rapid 4-compartment (4C) model integrates dual-energy x-ray absorptiometry (DXA) and multi-frequency bioimpedance analysis (MFBIA), which may be useful for clinical and research settings seeking to employ a multi-compartment model.

OBJECTIVES:

This study aimed to determine the added benefit of a rapid 4C model over stand-alone DXA and MFBIA when estimating body composition.

METHODS:

One hundred and thirty participants (n = 60 male; n = 70 female) of Hispanic descent were included in the present analysis. A criterion 4C model that employed air displacement plethysmography (body volume), deuterium oxide (total body water), and DXA (bone mineral) was used to measure fat mass (FM), fat-free mass (FFM), and body fat percent (%BF). A rapid 4C model (DXA-derived body volume and bone mineral; MFBIA-derived total body water) and stand-alone DXA (GE Lunar Prodigy) and MFBIA (InBody 570) assessments were compared against the criterion 4C model.

RESULTS:

Lin's concordance correlation coefficient values were >0.90 for all comparisons. The standard error of the estimates ranged from 1.3 to 2.0 kg, 1.6 to 2.2 kg, and 2.1 to 2.7% for FM, FFM, and %BF, respectively. The 95% limits of agreement ranged from ±3.0 to 4.2 kg, ±3.1 to 4.2 kg, and ±4.9 to 5.2% for FM, FFM, and %BF, respectively.

CONCLUSIONS:

Results revealed that all 3 methods provided acceptable body composition results. The MFBIA device used in the current study may be a more economically friendly option than DXA or when there is a need to minimize radiation exposure. Nonetheless, clinics and laboratories that already have a DXA device in place or that value having the lowest individual error when conducting a test may consider continuing to use the machine. Lastly, a rapid 4C model may be useful for assessing body composition measures observed in the current study and those provided by a multi-compartment model (e.g., protein).
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Full text: 1 Database: MEDLINE Main subject: Body Composition / Adipose Tissue Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: J Nutr Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Main subject: Body Composition / Adipose Tissue Type of study: Prognostic_studies Limits: Adult / Female / Humans / Male Language: En Journal: J Nutr Year: 2023 Type: Article