Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysis.
Autor: | Bennett JP; Graduate Program in Human Nutrition, University of Hawai'i at Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA., Cataldi D; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA., Liu YE; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA., Kelly NN; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA., Quon BK; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA., Schoeller DA; Department of Nutritional Sciences, University of Wisconsin-Madison, 1415 Linden Drive, Madison, WI, 53706, USA., Kelly T; Hologic Inc, 250 Campus Drive, Marlborough, MA, 01752, USA., Heymsfield SB; Pennington Biomedical Research Center, Louisiana State University, 6400 Perkins Rd, Baton Rouge, LA, 70808, USA., Shepherd JA; Graduate Program in Human Nutrition, University of Hawai'i at Manoa, Agricultural Science Building, 1955 East-West Rd, Honolulu, HI, 96822, USA; Department of Epidemiology, University of Hawai'i Cancer Center, 701 Ilalo St, Honolulu, HI, 96813, USA. Electronic address: johnshep@hawaii.edu. |
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Jazyk: | angličtina |
Zdroj: | Clinical nutrition (Edinburgh, Scotland) [Clin Nutr] 2024 Feb; Vol. 43 (2), pp. 346-356. Date of Electronic Publication: 2023 Dec 14. |
DOI: | 10.1016/j.clnu.2023.12.009 |
Abstrakt: | Background & Aims: The multicompartment approach to body composition modeling provides a more precise quantification of body compartments in healthy and clinical populations. We sought to develop and validate a simplified and accessible multicompartment body composition model using 3-dimensional optical (3DO) imaging and bioelectrical impedance analysis (BIA). Methods: Samples of adults and collegiate-aged student-athletes were recruited for model calibration. For the criterion multicompartment model (Wang-5C), participants received measures of scale weight, body volume (BV) via air displacement, total body water (TBW) via deuterium dilution, and bone mineral content (BMC) via dual energy x-ray absorptiometry. The candidate model (3DO-5C) used stepwise linear regression to derive surrogate measures of BV using 3DO, TBW using BIA, and BMC using demographics. Test-retest precision of the candidate model was assessed via root mean square error (RMSE). The 3DO-5C model was compared to criterion via mean difference, concordance correlation coefficient (CCC), and Bland-Altman analysis. This model was then validated using a separate dataset of 20 adults. Results: 67 (31 female) participants were used to build the 3DO-5C model. Fat-free mass (FFM) estimates from Wang-5C (60.1 ± 13.4 kg) and 3DO-5C (60.3 ± 13.4 kg) showed no significant mean difference (-0.2 ± 2.0 kg; 95 % limits of agreement [LOA] -4.3 to +3.8) and the CCC was 0.99 with a similar effect in fat mass that reflected the difference in FFM measures. In the validation dataset, the 3DO-5C model showed no significant mean difference (0.0 ± 2.5 kg; 95 % LOA -3.6 to +3.7) for FFM with almost perfect equivalence (CCC = 0.99) compared to the criterion Wang-5C. Test-retest precision (RMSE = 0.73 kg FFM) supports the use of this model for more frequent testing in order to monitor body composition change over time. Conclusions: Body composition estimates provided by the 3DO-5C model are precise and accurate to criterion methods when correcting for field calibrations. The 3DO-5C approach offers a rapid, cost-effective, and accessible method of body composition assessment that can be used broadly to guide nutrition and exercise recommendations in athletic settings and clinical practice. Competing Interests: Conflicts of interest TK is an employee of Hologic, Inc. however, the sponsors had no role in the in the collection, analyses, or interpretation of data, in the writing of the manuscript, or in the decision to publish the results. (Published by Elsevier Ltd.) |
Databáze: | MEDLINE |
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