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Can I read Validity of a 3-Compartment Body Composition Model Using Body Volume Derived from a Novel 2-Dimensional Image Analysis Program on EtoBox?
Validity of a 3-Compartment Body Composition Model Using Body Volume Derived from a Novel 2-Dimensional Image Analysis Program by Katherine Sullivan; Bjoern Hornikel; Clifton J. Holmes; Michael R. Esco; Michael V. Fedewa is a Medicine article available to read on EtoBox.
What is Validity of a 3-Compartment Body Composition Model Using Body Volume Derived from a Novel 2-Dimensional Image Analysis Program about?
Background/Objectives The purpose of this study was: (1) to compare body volume (BV) estimated from a 2-dimensional (2D) image analysis program (BV IMAGE ), and a dual-energy x-ray absorptiometry (DXA) equation (BV DXA-Smith-Ryan ) to an underwater weighing (UWW) criterion (BV UWW ); (2) to compare relative adiposity (%Fat) derived from a 3-compartment (3C) model using BV IMAGE (%Fat 3C-IMAGE ), and a 4-compartment (4C) model using BV DXA-Smith-Ryan (%Fat 4C-DXA-Smith-Ryan ) to a 4C criterion model using BV UWW (%Fat 4C-UWW ). Subject/Methods Forty-eight participants were included (60% male, 22.9 ± 5.0 years, 24.2 ± 2.6 kg/m 2 ). BV IMAGE was derived using a single digital image of each participant taken from the rear/posterior view. DXA-derived BV was calculated according to Smith-Ryan et al. Bioimpedance spectroscopy and DXA were used to measure total body water and bone mineral content, respectively, in the 3C and 4C models. A standardized mean effect size (ES) assessed the magnitude of differences between models with values of 0.2, 0.5, and 0.8 for small, moderate, and large differences, respectively. Data are presented as mean ± standard deviation. Results Near-perfect correla
Who reads Validity of a 3-Compartment Body Composition Model Using Body Volume Derived from a Novel 2-Dimensional Image Analysis Program?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Katherine Sullivan; Bjoern Hornikel; Clifton J. Holmes; Michael R. Esco; Michael V. Fedewa
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Medicine (Health Sciences)