Journal
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
Volume 44, Issue 1, Pages 180-189Publisher
LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1249/MSS.0b013e318228b60e
Keywords
DXA; LEAN MASS; BODY FAT; RELIABILITY; ATHLETES
Categories
Funding
- Australian Institute of Sport (AIS) and RMIT University
- AIS Sports Nutrition Discipline
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NANA, A., G. J. SLATER, W. G. HOPKINS, and L. M. BURKE. Effects of Daily Activities on Dual-Energy X-ray Absorptiometry Measurements of Body Composition in Active People. Med. Sci. Sports Exerc., Vol. 44, No. 1, pp. 180-189, 2012. Purpose: Dual-energy x-ray absorptiometry (DXA) is becoming a popular tool to measure body composition in athletes, owing to its ease of operation and comprehensive analysis of body composition. This study represents the first systematic investigation of the reliability of DXA measurements of body composition in trained individuals and includes measurements of daily variability as well as the specific effect of the intake of a meal. Methods: Physically active young adults (15 females, 16 males) underwent five whole-body DXA scans during a 2-d period: in the morning after an overnight fast, similar to 5 min later after repositioning on the scanning bed, similar to 8 h later after usual daily activities, and the next morning before and similar to 30 min after consumption of a simple breakfast. Magnitudes of typical (standard) errors of measurement and changes in the mean of DXA measures were assessed by standardization. Results: Repositioning produced trivial typical errors for whole-body composition, whereas regional body composition showed substantial errors. Daily activities and consumption of breakfast generally produced a substantial increase in the typical error and mean of DXA estimates of total and regional lean mass and associated body mass. Conclusions: Having a standardized scanning protocol and fasted subjects is the most practical way to minimize measurement errors. Future studies involving DXA in measuring body composition should report their scanning and analysis protocol with their associated typical errors of measurement so that the level of reliability can be assessed.
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