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OpenTrials
Completed

NCT Number: NCT03706612

Shape Up! Kids Study

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.

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Key information

Conditions

Age range

5 year–17 year

Sex eligibility

All sexes

Study type

Observational

Primary location

University of California, San Francisco, San Francisco, California, United States

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Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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 body composition from what is typical for age, sex, ethnicity, and BMI.

Exclusion criteria

  • 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.

Treatment and study plan

Primary outcomes

  1. Fat mass by DXA

    Time frame: 1 day

    Measure fat mass and percent fat (arms, legs, trunk, and total) using Dual energy X-ray absorptiometry (DXA) data

  2. Lean mass by DXA

    Time frame: 1 day

    Measure lean mass (arms, legs, trunk, and total) using Dual energy X-ray absorptiometry (DXA) data

  3. Bone mass by DXA

    Time frame: 1 day

    Measure bone mass (arms, legs, lumbar spine, and total) and Bone Mineral Density (spine and total) using Dual energy X-ray absorptiometry (DXA) data

  4. Fat mass by MRI

    Time frame: 1 day

    Measure fat mass and percent fat (arms, legs, trunk, visceral, and total) using MRI data

  5. Lean mass by MRI

    Time frame: 1 day

    Measure lean mass (arms, legs, trunk, and total) using MRI data

  6. Waist to Hip ratio (WHR) from manual tape measurement

    Time frame: 1 day

    Manual physical anthropometry of waist and hip circumferences

  7. Automatic 3D optical (3DO) scan measurement

    Time frame: 1 day

    Automated 3DO measurement generated across the body

  8. Hand-grip strength

    Time frame: 1 day

    Measured by using a hand-grip dynamometer (JAMAR) as a measure of strength and physical capacity.

  9. Isokinetic peak torque

    Time frame: 1 day

    Measure the peak torque value (FT-LBS) generated during isokinetic knee extension/flexion movement evaluation at 60 degrees will be assessed with the HUMAC NORM device

  10. Isometric peak torque

    Time frame: 1 day

    Measure the peak torque value (FT-LBS) generated during isometric knee extension/flexion movement evaluation at 60 degrees will be assessed with the HUMAC NORM device

  11. Fasting glucose levels

    Time frame: 1 day

    Measure fasting glucose levels

  12. Fasting HbA1c levels

    Time frame: 1 day

    Measure fasting HbA1c levels

  13. Fasting insulin levels

    Time frame: 1 day

    Measure fasting insulin levels

  14. Fasting cholesterol levels

    Time frame: 1 day

    Measure fasting cholesterol levels

  15. Fasting triglycerides levels

    Time frame: 1 day

    Measure fasting triglycerides levels

Secondary outcomes

  1. Fat loss

    Time frame: 24 weeks

    Measure changes in fat mass during intervention using DXA data.

  2. Changes in lean mass

    Time frame: 24 weeks

    Measure changes in lean mass (arms, legs, trunk, and total) during intervention using DXA data.

  3. Changes in WHR

    Time frame: 24 weeks

    Measure changes in WHR during intervention

  4. Changes in automatic 3DO scan measurement

    Time frame: 24 weeks

    Changes of automated 3DO measurements during intervention

  5. Changes in isokinetic peak torque

    Time frame: 24 weeks

    Measure the change in peak torque value generated during isokinetic knee extension/flexion movement evaluation at 60 degrees will be assessed with the HUMAC NORM device pre and post intervention.

  6. Changes in isometric peak torque

    Time frame: 24 weeks

    Measure the change in peak torque value generated during isometric knee extension/flexion movement evaluation at 60 degrees will be assessed with the HUMAC NORM device pre and post intervention

  7. Total Body Water

    Time frame: 24 weeks

    Measure total body water (L) provided by bioelectrical impedance analysis

  8. Phase angle

    Time frame: 24 weeks

    Phase angle [PhA(°) = (reactance/electrical resistance) × (180°/Π)] will be measured in degrees using bioelectrical impedance analysis.

  9. Percent body fat

    Time frame: 24 weeks

    Measure percent body fat provided by bioelectrical impedance analysis.

  10. Body circumference from 2D imaging

    Time frame: 24 weeks

    A conventional digital camera will be used to capture 2D images of participants in a standardized pose. Body circumference will be estimated using these images.

  11. Systolic and Diastolic blood pressure levels will be assessed

    Time frame: 24 weeks

    Manually measure systolic and diastolic blood pressure levels.

  12. Diet History Questionnaire II

    Time frame: 24 weeks

    The Diet History Questionnaire II estimates the participants nutrition intake by asking the participant a series of questions

Sponsors and collaborators

Lead sponsor

University of Hawaii

Other

Collaborators

  • Pennington Biomedical Research Center
  • University of California, San Francisco

Registry information

Important dates

Study start
2017
Primary completion
2023
Study completion
2023
First posted
Oct 16, 2018
Registry last updated
Jan 23, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

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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