Development and validation of a rapid multicompartment body composition model using 3-dimensional optical imaging and bioelectrical impedance analysis

被引:8
作者
Bennett, Jonathan P. [1 ,2 ]
Cataldi, Devon [2 ]
Liu, Yong En [2 ]
Kelly, Nisa N. [2 ]
Quon, Brandon K. [2 ]
Schoeller, Dale A. [3 ]
Kelly, Thomas [4 ]
Heyms, Steven B. [5 ]
Shepherd, John A. [1 ,2 ]
机构
[1] Univ Hawaii Manoa, Grad Program Human Nutr, Agr Sci Bldg,1955 East West Rd, Honolulu, HI 96822 USA
[2] Univ Hawaii, Canc Ctr, Dept Epidemiol, 701 Ilalo St, Honolulu, HI 96813 USA
[3] Univ Wisconsin Madison, Dept Nutr Sci, 1415 Linden Dr, Madison, WI 53706 USA
[4] Hologic Inc, 250 Campus Dr, Marlborough, MA 01752 USA
[5] Louisiana State Univ, Pennington Biomed Res Ctr, 6400 Perkins Rd, Baton Rouge, LA 70808 USA
关键词
3DO-5C; Multicompartment body composition; 3-Dimensional optical; Bioelectrical impedance analysis; Body fat percent; X-RAY ABSORPTIOMETRY; FAT-FREE MASS; AIR-DISPLACEMENT PLETHYSMOGRAPHY; HYDRATION STATUS; WATER; ANTHROPOMETRICS; ACQUISITION; STRENGTH; CHILDREN; WEIGHT;
D O I
10.1016/j.clnu.2023.12.009
中图分类号
R15 [营养卫生、食品卫生]; TS201 [基础科学];
学科分类号
100403 ;
摘要
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. Published by Elsevier Ltd.
引用
收藏
页码:346 / 356
页数:11
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