Shape Up! Kids Study
| Status: | Recruiting |
|---|---|
| Conditions: | Healthy Studies |
| Therapuetic Areas: | Other |
| Healthy: | No |
| Age Range: | 5 - 17 |
| Updated: | 10/18/2018 |
| Start Date: | April 1, 2017 |
| End Date: | June 2021 |
| Contact: | John Shepherd, PhD |
| Email: | johnshep@hawaii.edu |
| Phone: | 808-440-5234 |
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.
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.
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 their body
composition from what is typical for their 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.
We found this trial at
3
sites
6400 Perkins Rd
Baton Rouge, Louisiana 70808
Baton Rouge, Louisiana 70808
(225) 763-2500
Phone: 225-763-2541
Pennington Biomedical Research Center Unlike other medical research facilities where science occurs in separate labs...
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