Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
430 participants
OBSERVATIONAL
2017-04-01
2023-01-04
Brief Summary
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Describe the precision and accuracy of optical scans to monitor change in body composition, bone density and metabolic health interventions.
Estimate the level of association of optical to common health indicators including metabolic risk factors (glucose, triglycerides, HDL-cholesterol, blood pressure, VAT, WC and strength) by gender, race, age, and BMI-Z.
Investigate holistic, high-resolution descriptors of 3D body shape as direct predictors of body composition and metabolic risk using statistical shape models and Latent Class Analysis.
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Eligibility Criteria
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Inclusion Criteria
* walk one-quarter of a mile and climb 10 steps without difficulty,
* perform activities of daily living (ADLs) without difficulty, and
* have no life-threatening conditions or diseases that would alter body composition from what is typical for age, sex, ethnicity, and BMI.
Exclusion Criteria
* Pregnant or breastfeeding. (All premenopausal females will be asked for a spot urine sample for pregnancy test prior to participation. Those unwilling to comply with this will not be included.
5 Years
17 Years
ALL
Yes
Sponsors
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University of California, San Francisco
OTHER
Pennington Biomedical Research Center
OTHER
University of Hawaii
OTHER
Responsible Party
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Locations
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University of California, San Francisco
San Francisco, California, United States
University of Hawaii Cancer Center
Honolulu, Hawaii, United States
Pennington Biomedical Research Center
Baton Rouge, Louisiana, United States
Countries
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References
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Marazzato F, McCarthy C, Field RH, Nguyen H, Nguyen T, Shepherd JA, Tinsley GM, Heymsfield SB. Advances in digital anthropometric body composition assessment: neural network algorithm prediction of appendicular lean mass. Eur J Clin Nutr. 2024 May;78(5):452-454. doi: 10.1038/s41430-023-01396-3. Epub 2023 Dec 23.
Bennett J, Wong MC, McCarthy C, Fearnbach N, Queen K, Shepherd J, Heymsfield SB. Emergence of the adolescent obesity epidemic in the United States: five-decade visualization with humanoid avatars. Int J Obes (Lond). 2022 Sep;46(9):1587-1590. doi: 10.1038/s41366-022-01153-9. Epub 2022 May 24.
Wong MC, Ng BK, Kennedy SF, Hwaung P, Liu EY, Kelly NN, Pagano IS, Garber AK, Chow DC, Heymsfield SB, Shepherd JA. Children and Adolescents' Anthropometrics Body Composition from 3-D Optical Surface Scans. Obesity (Silver Spring). 2019 Nov;27(11):1738-1749. doi: 10.1002/oby.22637.
Other Identifiers
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