Agreement Between A 2-Dimensional Digital Image-Based 3-Compartment Body Composition Model and Dual Energy X-Ray Absorptiometry for The Estimation of Relative Adiposity
| Autor: | Clifton J. Holmes, Katherine Sullivan, Michael V. Fedewa, Michael R. Esco, Bjoern Hornikel, Casey J Metoyer, Brett S. Nickerson |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Male
Hydrostatic weighing Endocrinology Diabetes and Metabolism Body water Body volume Article Standard deviation Young Adult Digital image Absorptiometry Photon medicine Humans Radiology Nuclear Medicine and imaging Orthopedics and Sports Medicine Obesity Dual-energy X-ray absorptiometry Adiposity medicine.diagnostic_test business.industry 3-Compartment Reproducibility of Results Adipose Tissue Body Composition Female Composition (visual arts) business Nuclear medicine |
| Zdroj: | J Clin Densitom |
| ISSN: | 1094-6950 |
| Popis: | The purpose of this study was to compare relative adiposity (%Fat) derived from a 2-dimensional image-based 3-component (3C) model (%Fat(3C-IMAGE)) and dual-energy X-ray absorptiometry (DXA) (%Fat(DXA)) against a 5-component (5C) laboratory criterion (%Fat(5C)). 57 participants were included (63.2% male, 84.2% White/Caucasian, 22.5±4.7 yrs., 23.9±2.8 kg/m(2)). For each participant, body mass and standing height were measured to the nearest 0.1 kg and 0.1 cm, respectively. A digital image of each participant was taken using a 9.7 inch, 16g iPad Air 2 and analyzed using a commercially available application (version 1.1.2, made Health and Fitness, USA) for the estimation of body volume (BV) and inclusion in %Fat(3C-IMAGE) . %Fat(3C-IMAGE) and %Fat(5C) included measures of total body water derived from bioimpedance spectroscopy. The criterion %Fat(5C) included BV estimates derived from underwater weighing and bone mineral content measures via DXA. %Fat(DXA) estimates were calculated from a whole-body DXA scan. 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. A strong correlation (r = 0.94, p |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|