Healthy
Conditions
Brief summary
Identify the unique associations of body shape to body composition indices in a population that represents the variance of sex, age, BMI, and ethnicity found in the US population. Describe the precision and accuracy of 3DO scans to monitor change in body composition and metabolic health interventions. Estimate the level of association of 3DO to common health indicators including metabolic risk factors (glucose, triglycerides, HDL-cholesterol, blood pressure, VAT, WC and strength) by gender, race, age, and BMI. 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.
Interventions
None listed
Sponsors
University of Hawaii
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 80 Years
Healthy volunteers
Yes
Inclusion criteria
* Healthy participants will be included in the study if they have a self-reported ability to: 1. walk one-quarter of a mile and climb 10 steps without difficulty, 2. perform activities of daily living (ADLs) without difficulty, and 3. 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
* Participants will be excluded if they have any internal metal artifact (e.g. pacemakers, internal fixation, arthroplasty), amputation, physical impairment or previous fracture that would alter body composition assessment or are 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.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Fasting triglycerides levels | 1 day | Measure fasting triglycerides levels |
| Lean mass | 1 day | Measure lean mass (arms, legs, trunk, and total) using Dual energy X-ray absorptiometry (DXA) data |
| Bone mass | 1 day | Measure bone mass (arms, legs, lumbar spine, and total) and Bone Mineral Density (spine and total) |
| Waist to Hip ratio (WHR) from manual tape measurement | 1 day | Manual physical anthropometry of waist and hip circumferences |
| Automatic 3D optical (3DO) scan measurement | 1 day | Automated 3DO measurements generate the following: 476 girth, length, and volume measurements across the whole body. |
| HUMAC NORM | 1 day | Will measure isokinetic strength of knee and back to assess muscle function |
| Jamar hydraulic hand dynamometer | 1 day | Will measure grip strength to assess muscle function |
| Fasting glucose levels | 1 day | Measure fasting glucose levels |
| Fasting HbA1c levels | 1 day | Measure fasting HbA1c levels |
| Fasting insulin levels | 1 day | Measure fasting insulin levels |
| Fasting cholesterol levels | 1 day | Measure fasting cholesterol levels |
| Fat mass | 1 day | Measure fat mass and percent fat (arms, legs, trunk, and total) using Dual energy X-ray absorptiometry (DXA) data |
Other
| Measure | Time frame | Description |
|---|---|---|
| Changes in lean mass | 24 weeks | Measure changes in lean mass (arms, legs, trunk, and total) during intervention using DXA data |
| Changes in WHR | 24 weeks | Measure changes in WHR during intervention |
| Changes in automatic 3DO scan measurement | 24 weeks | Changes of automated 3DO measurements during intervention |
| changes in HUMAC NORM measurement | 24 weeks | changes of isokinetic strength of knee and back to assess muscle function |
| changes in Jamar hydraulic hand dynamometer measurement | 24 weeks | changes of grip strength to assess muscle function |
| Bioelectrical impedance analysis (BIA) measurements | 1 day | measurement of the conductance of water, fat, and muscle by placing electrodes on right and left ankles and index fingertips. The analysis measures the amount of water inside cells and outside cells as the amount of muscle and fat. |
| Body shape from 2D imaging | 1 day | Through the use of images from a conventional digital camera estimated body dimension will be obtained |
| Blood pressure levels | 1 day | Manually measure blood pressure. |
| Diet History Questionnaire II | 1 day | The Diet History questionnaire II estimates a participants nutrition intake by asking the participant a series of questions |
| Fat loss | 24 weeks | Measure changes in fat mass during intervention using DXA data. |
Countries
United States
Outcome results
None listed