Shape Up! Kids Study

NCT ID: NCT03706612

Last Updated: 2023-01-23

Study Results

Results pending

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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Recruitment Status

COMPLETED

Total Enrollment

430 participants

Study Classification

OBSERVATIONAL

Study Start Date

2017-04-01

Study Completion Date

2023-01-04

Brief Summary

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Identify the unique associations of body shape to body composition and bone density indices in a pediatric population that represents the variance of sex, age, BMI-Z, and ethnicity found in the US population.

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.

Detailed Description

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Conditions

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Healthy

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Eligibility Criteria

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Inclusion Criteria

* Healthy participants will be included in the study if they have a self-reported ability to:

* 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

* any internal metal artifact (e.g. pacemakers, internal fixation, arthroplasty), amputation, physical impairment or previous fracture that would alter body composition assessment
* 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.
Minimum Eligible Age

5 Years

Maximum Eligible Age

17 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

Yes

Sponsors

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University of California, San Francisco

OTHER

Sponsor Role collaborator

Pennington Biomedical Research Center

OTHER

Sponsor Role collaborator

University of Hawaii

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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University of California, San Francisco

San Francisco, California, United States

Site Status

University of Hawaii Cancer Center

Honolulu, Hawaii, United States

Site Status

Pennington Biomedical Research Center

Baton Rouge, Louisiana, United States

Site Status

Countries

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United States

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.

Reference Type DERIVED
PMID: 38142263 (View on PubMed)

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.

Reference Type DERIVED
PMID: 35610336 (View on PubMed)

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.

Reference Type DERIVED
PMID: 31689009 (View on PubMed)

Other Identifiers

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R01DK111698

Identifier Type: NIH

Identifier Source: org_study_id

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