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Article
A Comparative Study of Body Composition Assessment Techniques: DXA and InBody 270
Journal of Exercise and Nutrition
  • Jose Garcia, Nova Southeastern University
  • Rithin Manimaleth, Nova Southeastern University
  • Paulina Czartoryski, Nova Southeastern University
  • Paige Napolito, Nova Southeastern University
  • Haley Watters, Nova Southeastern University
  • Catherine Weber, Nova Southeastern University
  • Alexsandra Alvarez-Beaton, Nova Southeastern University
  • Alexandra C Nieto, Nova Southeastern University
  • Aysha Patel, Nova Southeastern University
  • Corey Peacock, Nova Southeastern University
  • Jonathan B Banks, Nova Southeastern University
  • Jaime L. Tartar, Nova Southeastern University
  • Jose Antonio, Nova Southeastern University
Document Type
Article
Publication Date
1-1-2020
Disciplines
Abstract/Excerpt

Introduction: The purpose of this study was to compare two common laboratory methods of body composition assessment: dual-energy X-ray absorptiometry (DXA) and the InBody® 270 Body Composition Analyzer.
Methods: Eighty-eight subjects (43 female, 45 male) volunteered for this study. Participants were tested in a controlled laboratory environment (i.e., 3-hour fast, no prior exercise, testing between 1100 and 1700 hours) first on the InBody® 270 followed by the DXA. A paired t-test was used to assess differences between the groups. Statistical significance was established at a p-value < 0.05.
Results: There were statistically significant differences between the DXA and InBody 270 for percent body fat, fat mass and fat-free mass. The DXA had significantly greater fat mass and percent body fat whereas fat-free mass was lower versus the InBody 270.
Conclusion: The Inbody 270 under-predicts fat mass and percent body fat; conversely, it over-predicts fat-free mass.

Citation Information
Jose Garcia, Rithin Manimaleth, Paulina Czartoryski, Paige Napolito, et al.. "A Comparative Study of Body Composition Assessment Techniques: DXA and InBody 270" Journal of Exercise and Nutrition Vol. 3 Iss. 3 (2020) ISSN: 2640-2572
Available at: http://works.bepress.com/jaime-tartar/105/