Interpretation of Dual-Energy X-Ray Absorptiometry-Derived Body Composition Change in Athletes: A Review and Recommendations for Best Practice

Journal of Clinical Densitometry : the Official Journal of the International Society for Clinical Densitometry
Karen HindJ A Shepherd

Abstract

Dual-energy X-ray absorptiometry (DXA) is a medical imaging device which has become the method of choice for the measurement of body composition in athletes. The objectives of this review were to evaluate published longitudinal DXA body composition studies in athletic populations for interpretation of "meaningful" change, and to propose a best practice measurement protocol. An online search of PubMed and CINAHL via EBSCO Host and Web of Science enabled the identification of studies published until November 2016. Those that met the inclusion criteria were reviewed independently by 2 authors according to their methodological quality and interpretation of body composition change. Twenty-five studies published between 1996 and November 2016 were reviewed (male athletes: 13, female athletes: 3, mixed: 9) and sample sizes ranged from n = 1 to 212. The same number of eligible studies was published between 2013 and 2016, as over the 16 yr prior (between 1996 and 2012). Seven did not include precision error, and fewer than half provided athlete-specific precision error. There were shortfalls in the sample sizes on which precision estimates were based and inconsistencies in the level of pre-scan standardization, with some reporting full ...Continue Reading

Citations

Nov 13, 2019·Scandinavian Journal of Medicine & Science in Sports·Tessa E Morris-PatersonStephen D R Harridge
Jan 23, 2020·International Journal of Environmental Research and Public Health·Xini ZhangWeijie Fu
Feb 11, 2020·Frontiers in Nutrition·Joelle Leonie Flueck
Feb 24, 2021·International Journal of Sports Medicine·Henry Lukaski, Christiana J Raymond-Pope
Nov 14, 2020·International Journal of Sport Nutrition and Exercise Metabolism·Ava FarleyKaren Hind
Apr 16, 2021·Journal of Biomedical Informatics·G BonaccorsiG Sciavicco

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