University of Hawaii Cancer Center
Honolulu, Hawaii, 96813, United States
NCT Number: NCT03637855
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.
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Notify Me18 year–80 year
All sexes
Observational
Honolulu, Hawaii, 96813, United States
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Time frame: 1 day
Measure fat mass and percent fat (arms, legs, trunk, and total) using Dual energy X-ray absorptiometry (DXA) data
Time frame: 1 day
Measure lean mass (arms, legs, trunk, and total) using Dual energy X-ray absorptiometry (DXA) data
Time frame: 1 day
Measure bone mass (arms, legs, lumbar spine, and total) and Bone Mineral Density (spine and total)
Time frame: 1 day
Manual physical anthropometry of waist and hip circumferences
Time frame: 1 day
Automated 3DO measurements generate the following: 476 girth, length, and volume measurements across the whole body.
Time frame: 1 day
Will measure isokinetic strength of knee and back to assess muscle function
Time frame: 1 day
Will measure grip strength to assess muscle function
Time frame: 1 day
Measure fasting glucose levels
Time frame: 1 day
Measure fasting HbA1c levels
Time frame: 1 day
Measure fasting insulin levels
Time frame: 1 day
Measure fasting cholesterol levels
Time frame: 1 day
Measure fasting triglycerides levels
Time frame: 24 weeks
Measure changes in fat mass during intervention using DXA data.
Time frame: 24 weeks
Measure changes in lean mass (arms, legs, trunk, and total) during intervention using DXA data
Time frame: 24 weeks
Measure changes in WHR during intervention
Time frame: 24 weeks
Changes of automated 3DO measurements during intervention
Time frame: 24 weeks
changes of isokinetic strength of knee and back to assess muscle function
Time frame: 24 weeks
changes of grip strength to assess muscle function
Time frame: 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.
Time frame: 1 day
Through the use of images from a conventional digital camera estimated body dimension will be obtained
Time frame: 1 day
Manually measure blood pressure.
Time frame: 1 day
The Diet History questionnaire II estimates a participants nutrition intake by asking the participant a series of questions
University of Hawaii
Other
Optical Body Composition and Health Assessment (Shape Up! Adults) Study
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View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
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