Dual-Energy X-Ray Absorptiometry Measured Regional Body Composition Least Significant Change: Effect of Region of Interest and Gender in Athletes |
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| Affiliation: | 1. Osteoporosis Clinical Research Program, University of Wisconsin-Madison, Madison, WI, USA;2. Orthopedics and Rehabilitation, University of Wisconsin-Madison, Madison, WI, USA;3. Intercollegiate Athletics, University of Wisconsin-Madison, Madison, WI, USA;4. Essentia Institute of Rural Health, Duluth, MN, USA;1. Department of Family Medicine, National Cheng Kung University Hospital and College of Medicine, Tainan, Taiwan;2. Academic Unit of Bone Metabolism, University of Sheffield, Sheffield, UK;3. Osteoporosis Treatment Centre, Kuala Lumpur, Malaysia;4. SCBR (Saitama Center for Bone Research), Kubojima Clinic, Saitama, Japan;5. Department of Endocrinology and Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia;6. Department of Radiology, Peking Union Medical College Hospital Beijing, Beijing, China;7. Department of Medicine, University of Santo Tomas Hospital, Manila, Philippines;8. Division of Endocrinology, Department of Medicine, National University Health System, Singapore;9. Obstetrician and Gynecologist in Beijing United Family Hospital, Beijing, China;10. Seoul National University College of Medicine, Seoul, Korea;11. Jakarta Osteoporosis Center, Jakarta, Indonesia;12. Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan;13. Osteoporosis Center, Taiwan Adventist Hospital, Taipei, Taiwan;14. Department of Nuclear Medicine and Radiology, Lin Shin Hospital, Taichung, Taiwan;15. Department of Geriatrics and Gerontology, National Taiwan University Hospital, Taipei, Taiwan;16. Division of Endocrinology and Metabolism, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan;17. Division of Rheumatology & Allergy, Vanderbilt University Medical Center, Nashville, TN, USA;18. Center of Bone Diseases, Department of Bone & Joint, Lausanne University Hospital, Lausanne, Switzerland;19. WHO Collaborating Centre for Metabolic Bone Diseases, University of Sheffield Medical School, Sheffield, UK;20. Secction of Family Medicine, Department of Internal Medicine, National Cheng Kung University Hospital Dou-Liou Branch, Douliou City, Taiwan;21. Department of Orthopedics, National Taiwan University Hospital, Taipei, Taiwan;1. Osteoporosis Clinical Research Program, University of Wisconsin, Madison, WI, USA;2. Department of Bone and Joint, Center of Bone diseases, Lausanne University Hospital, Lausanne, Switzerland;1. Department of Neurosurgery, Seoul National University College of Medicine, Seoul, Republic of Korea;2. Neuroscience Research Institute, Seoul National University Medical Research Center, Seoul, Republic of Korea;3. Clinical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea;4. Department of Internal Medicine, Healthcare Research Institute, Healthcare System Gangnam Center, Seoul National University Hospital, Seoul, Republic of Korea;1. Division of Rheumatology, Department of Bone and Joint Diseases, Lausanne University Hospital, Lausanne, Switzerland;2. Center for Bone Diseases, Department of Bone and Joint Diseases, Lausanne University Hospital, Lausanne, Switzerland;3. Department of Rheumatology, Physical Medicine and Rehabilitation, Fribourg Hospital, Fribourg, Switzerland |
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| Abstract: | Dual-energy X-ray absorptiometry (DXA) is widely used to evaluate body composition in athletes. Knowledge of measurement precision is essential for monitoring body composition changes over time. This study begins characterizing DXA body composition precision in 60 (30 males and 30 females) Division 1 athletes focusing on gender, regional, and tissue type differences. Two total body scans with repositioning between were performed on the same day. Least significant change (LSC) for the root-mean-square deviation (LSCRMSD) and the percent coefficient of variation (LSC%CV) for total, lean, and fat mass was calculated for 6 regions of interest. The effect of gender, region, tissue type, and mass on the standard deviation (SD) and percent coefficient of variation (%CV) between the 2 scans was evaluated using repeated measures regression analysis. Statistically significant effects of gender, region, tissue type, and mass on SD and %CV were noted. To generalize, a nonlinear positive relationship between LSCRMSD and mass and a nonlinear negative relationship between LSC%CV and mass were observed. In conclusion, DXA body composition LSC varies among genders, regions, tissues, and mass. As such, when evaluating serial body composition in athletes, especially if assessing regional change, knowledge of precision in individuals of similar body size and gender to the population of interest is needed. |
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