Precision of the GE Lunar total body-less head scan for the measurement of three-compartment body composition in athletes

W Jones; A Pearson; D Glassbrook; Gary Slater; C Dodd-Reynolds; K Hind

doi:10.1016/j.jocd.2022.08.008

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Precision of the GE Lunar total body-less head scan for the measurement of three-compartment body composition in athletes

Journal article

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Peer reviewed

Precision of the GE Lunar total body-less head scan for the measurement of three-compartment body composition in athletes

W Jones, A Pearson, D Glassbrook, Gary Slater, C Dodd-Reynolds and K Hind

Journal of Clinical Densitometry, Vol.25(4), pp.692-698

2022

DOI: https://doi.org/10.1016/j.jocd.2022.08.008

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Abstract

DXA

lean mass

fat mass

bone mass

sport

reproducibility

Introduction: Dual energy X-ray absorptiometry (DXA) is widely used for the assessment of lean mass (LM), fat mass (FM) and bone mineral content (BMC). When observing standardised protocols, DXA has a high level of precision for the assessment of total body composition, including the head region. However, including the head region may have limited relevance in athletes and can be problematic when positioning taller athletes who exceed scan boundaries. This study investigated the precision of a new total-body-less-head (TBLH) DXA scan for three-compartment body composition measurement in athletes, with outcomes compared to the standard total-body DXA scan. Methods: Precision errors were calculated from two consecutive scans with re-positioning (Lunar iDXA, GE Healthcare, Madison, WI), in male and female athletes from a range of sports. TBLH precision was determined from repeat scans in 95 athletes (male n = 55; female n = 40; age: 26.0 ± 8.5 y; body mass: 81.2 ± 20.5 kg; stature: 1.77 ± 0.11 m), and standard total-body scan precision was derived from a sub-sample of 58 athletes (male n = 19; female n = 39; age: 27.6 ± 9.9 y; body mass: 69.6 ± 14.8 kg; stature: 1.72 ± 0.94 m). Data from the sub-sample were also used to compare precision error and 3-compartment body composition outcomes between the standard total-body scan and the TBLH scan. Results: TBLH precision errors [root mean squared-standard deviation, RMS-SD (coefficient of variation, %CV)] were bone mineral content (BMC): 15.6 g (0.5%), lean mass (LM): 254.3 g (0.4%) and fat mass (FM): 199.4 g (1.3%). These outcomes compared favourably to the precision errors derived from the standard total-body scan [BMC: 12.4 g (0.4%), LM: 202.2 g (0.4%), and FM: 160.8 g (1.1%)]. The TBLH scan resulted in lower BMC (-19.5%), LM (-6.6%), and FM (-4.5%) compared to the total-body scan (BMC: 2,308 vs. 2,865 g; LM: 46,954 vs. 50,276 g; FM: 15,183 vs. 15,888 g, all p<0.005). Conclusion: The TBLH scan demonstrates high in-vivo precision comparable to that of the standard total-body scan in a heterogeneous cohort of athletes. Given the impact of head exclusion on total body composition outcomes, TBLH scans should not be used interchangeably with the standard total-body scan.

Details

Title: Precision of the GE Lunar total body-less head scan for the measurement of three-compartment body composition in athletes
Authors: W Jones (Author) - Durham University
A Pearson (Author) - Durham University
D Glassbrook (Author) - Durham University
Gary Slater (Author) - University of the Sunshine Coast, Queensland, School of Health and Behavioural Sciences - Legacy
C Dodd-Reynolds (Author) - Durham University
K Hind (Corresponding Author) - Durham University
Publication details: Journal of Clinical Densitometry, Vol.25(4), pp.692-698
Publisher: Elsevier BV
Date published: 2022
DOI: 10.1016/j.jocd.2022.08.008
ISSN: 1559-0747; 1094-6950
Copyright note: Copyright 2022 The Authors. Published by Elsevier Inc. on behalf of The International Society for Clinical Densitometry. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)
Organisation Unit: University of the Sunshine Coast, Queensland; School of Health - Nutrition & Dietetics; School of Health and Behavioural Sciences - Legacy
Language: English
Record Identifier: 99666998602621
Output Type: Journal article