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.