Monitoring body composition change for intervention studies with advancing 3D optical imaging technology in comparison to dual-energy X-ray absorptiometry.

Autor:	Wong MC; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States; Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, United States., Bennett JP; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States; Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, United States., Leong LT; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States., Tian IY; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States., Liu YE; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States., Kelly NN; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States., McCarthy C; Pennington Biomedical Research Center, Baton Rouge, LA, United States., Wong JMW; New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, MA, United States., Ebbeling CB; New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, MA, United States., Ludwig DS; New Balance Foundation Obesity Prevention Center, Boston Children's Hospital, Boston, MA, United States., Irving BA; Louisiana State University, School of Kinesiology, Baton Rouge, LA, United States., Scott MC; Pennington Biomedical Research Center, Baton Rouge, LA, United States; Louisiana State University, School of Kinesiology, Baton Rouge, LA, United States., Stampley J; Louisiana State University, School of Kinesiology, Baton Rouge, LA, United States., Davis B; Louisiana State University, School of Kinesiology, Baton Rouge, LA, United States., Johannsen N; Pennington Biomedical Research Center, Baton Rouge, LA, United States; Louisiana State University, School of Kinesiology, Baton Rouge, LA, United States., Matthews R; Louisiana State University, School of Kinesiology, Baton Rouge, LA, United States., Vincellette C; Louisiana State University, School of Kinesiology, Baton Rouge, LA, United States., Garber AK; Department of Pediatrics, University of California San Francisco, San Francisco, CA, United States., Maskarinec G; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States., Weiss E; Department of Pediatrics, University of California San Francisco, San Francisco, CA, United States., Rood J; Pennington Biomedical Research Center, Baton Rouge, LA, United States., Varanoske AN; Military Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, United States; Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States., Pasiakos SM; Military Nutrition Division, U.S. Army Research Institute of Environmental Medicine, Natick, MA, United States., Heymsfield SB; Pennington Biomedical Research Center, Baton Rouge, LA, United States., Shepherd JA; Department of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States; Department of Human Nutrition, Food and Animal Sciences, University of Hawaii at Manoa, Honolulu, HI, United States. Electronic address: johnshep@hawaii.edu.
Jazyk:	angličtina
Zdroj:	The American journal of clinical nutrition [Am J Clin Nutr] 2023 Apr; Vol. 117 (4), pp. 802-813. Date of Electronic Publication: 2023 Feb 14.
DOI:	10.1016/j.ajcnut.2023.02.006
Abstrakt:	Background: Recent 3-dimensional optical (3DO) imaging advancements have provided more accessible, affordable, and self-operating opportunities for assessing body composition. 3DO is accurate and precise in clinical measures made by DXA. However, the sensitivity for monitoring body composition change over time with 3DO body shape imaging is unknown. Objectives: This study aimed to evaluate the ability of 3DO in monitoring body composition changes across multiple intervention studies. Methods: A retrospective analysis was performed using intervention studies on healthy adults that were complimentary to the cross-sectional study, Shape Up! Adults. Each participant received a DXA (Hologic Discovery/A system) and 3DO (Fit3D ProScanner) scan at the baseline and follow-up. 3DO meshes were digitally registered and reposed using Meshcapade to standardize the vertices and pose. Using an established statistical shape model, each 3DO mesh was transformed into principal components, which were used to predict whole-body and regional body composition values using published equations. Body composition changes (follow-up minus the baseline) were compared with those of DXA using a linear regression analysis. Results: The analysis included 133 participants (45 females) in 6 studies. The mean (SD) length of follow-up was 13 (5) wk (range: 3-23 wk). Agreement between 3DO and DXA (R 2 ) for changes in total FM, total FFM, and appendicular lean mass were 0.86, 0.73, and 0.70, with root mean squared errors (RMSEs) of 1.98 kg, 1.58 kg, and 0.37 kg, in females and 0.75, 0.75, and 0.52 with RMSEs of 2.31 kg, 1.77 kg, and 0.52 kg, in males, respectively. Further adjustment with demographic descriptors improved the 3DO change agreement to changes observed with DXA. Conclusions: Compared with DXA, 3DO was highly sensitive in detecting body shape changes over time. The 3DO method was sensitive enough to detect even small changes in body composition during intervention studies. The safety and accessibility of 3DO allows users to self-monitor on a frequent basis throughout interventions. This trial was registered at clinicaltrials.gov as NCT03637855 (Shape Up! Adults; https://clinicaltrials.gov/ct2/show/NCT03637855); NCT03394664 (Macronutrients and Body Fat Accumulation: A Mechanistic Feeding Study; https://clinicaltrials.gov/ct2/show/NCT03394664); NCT03771417 (Resistance Exercise and Low-Intensity Physical Activity Breaks in Sedentary Time to Improve Muscle and Cardiometabolic Health; https://clinicaltrials.gov/ct2/show/NCT03771417); NCT03393195 (Time Restricted Eating on Weight Loss; https://clinicaltrials.gov/ct2/show/NCT03393195), and NCT04120363 (Trial of Testosterone Undecanoate for Optimizing Performance During Military Operations; https://clinicaltrials.gov/ct2/show/NCT04120363). (Copyright © 2023 American Society for Nutrition. All rights reserved.)
Databáze:	MEDLINE
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