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.
You can join if…
Open to people ages 5-17
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.
You CAN'T join if...
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.
University of California, San Franciscoaccepting new patients San FranciscoCalifornia94143United States
Pennington Biomedical Research Centeraccepting new patients Baton RougeLouisiana70808United States