Detailed 3-dimensional body shape features predict body composition, blood metabolites, and functional strength: the Shape Up! studies

Author:

Ng Bennett K12ORCID,Sommer Markus J2,Wong Michael C1,Pagano Ian1,Nie Yilin2,Fan Bo2,Kennedy Samantha3,Bourgeois Brianna3,Kelly Nisa12,Liu Yong E12,Hwaung Phoenix3,Garber Andrea K4,Chow Dominic1,Vaisse Christian5,Curless Brian6,Heymsfield Steven B3,Shepherd John A12

Affiliation:

1. University of Hawaii Cancer Center, Honolulu, HI, USA

2. Department of Radiology and Biomedical Imaging, University of California, San Francisco, CA, USA

3. Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA

4. School of Medicine, University of California, San Francisco, CA, USA

5. Diabetes Center, University of California, San Francisco, CA, USA

6. Paul G Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, USA

Abstract

ABSTRACTBackgroundThree-dimensional optical (3DO) body scanning has been proposed for automatic anthropometry. However, conventional measurements fail to capture detailed body shape. More sophisticated shape features could better indicate health status.ObjectivesThe objectives were to predict DXA total and regional body composition, serum lipid and diabetes markers, and functional strength from 3DO body scans using statistical shape modeling.MethodsHealthy adults underwent whole-body 3DO and DXA scans, blood tests, and strength assessments in the Shape Up! Adults cross-sectional observational study. Principal component analysis was performed on registered 3DO scans. Stepwise linear regressions were performed to estimate body composition, serum biomarkers, and strength using 3DO principal components (PCs). 3DO model accuracy was compared with simple anthropometric models and precision was compared with DXA.ResultsThis analysis included 407 subjects. Eleven PCs for each sex captured 95% of body shape variance. 3DO body composition accuracy to DXA was: fat mass R2 = 0.88 male, 0.93 female; visceral fat mass R2 = 0.67 male, 0.75 female. 3DO body fat test-retest precision was: root mean squared error = 0.81 kg male, 0.66 kg female. 3DO visceral fat was as precise (%CV = 7.4 for males, 6.8 for females) as DXA (%CV = 6.8 for males, 7.4 for females). Multiple 3DO PCs were significantly correlated with serum HDL cholesterol, triglycerides, glucose, insulin, and HOMA-IR, independent of simple anthropometrics. 3DO PCs improved prediction of isometric knee strength (combined model R2 = 0.67 male, 0.59 female; anthropometrics-only model R2 = 0.34 male, 0.24 female).Conclusions3DO body shape PCs predict body composition with good accuracy and precision comparable to existing methods. 3DO PCs improve prediction of serum lipid and diabetes markers, and functional strength measurements. The safety and accessibility of 3DO scanning make it appropriate for monitoring individual body composition, and metabolic health and functional strength in epidemiological settings.This trial was registered at clinicaltrials.gov as NCT03637855.

Funder

National Institutes of Health

Nutrition Obesity Research Center, University of North Carolina

Pennington/Louisiana

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Medicine (miscellaneous)

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