Shape Up! Adults Study

University of Hawaii logo

University of Hawaii

Status

Completed

Conditions

Healthy

Study type

Observational

Funder types

Other

Identifiers

NCT03637855
R01DK109008

Details and patient eligibility

About

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.

Enrollment

696 patients

Sex

All

Ages

18 to 80 years old

Volunteers

Accepts Healthy Volunteers

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

  • 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.

Trial contacts and locations

1

Loading...

Data sourced from clinicaltrials.gov

Clinical trials

Find clinical trialsTrials by location
© Copyright 2024 Veeva Systems