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Predicting Obesity Consequences Using Body Measure and Urine Metabolomics

NCT04989062 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 1200

Last updated 2021-08-04

No results posted yet for this study

Summary

This is a prospective observational study which will recruit up to 1200 participants over a two-year period to investigate whether non-invasive methods such as bioelectrical impedance analysis parameters and urine metabolic profile are predictors for pediatric non-alcoholic liver disease.

Conditions

  • Non-Alcoholic Fatty Liver Disease
  • Body Composition
  • Electric Impedance

Interventions

DIAGNOSTIC_TEST

Fibroscan

Controlled attenuation parameter and liver stiffness measurement are measured.

DIAGNOSTIC_TEST

Bioelectrical impedance analysis

Body composition measures including fat mass, fat-free mass, percentage body fat in total body and body segments are obtained.

DIAGNOSTIC_TEST

Urine unclear magnetic resonance metabolomics

Metabolites in the urine are estimated by 600 MHz nuclear magnetic resonance.

DIAGNOSTIC_TEST

Hand grip strength

Hand grip strength in both hands is measured by hand-held dynamometer.

Sponsors & Collaborators

  • Ministry of Science and Technology, Taiwan

    collaborator OTHER_GOV

  • Chang Gung Memorial Hospital

    lead OTHER

Principal Investigators

  • Li-Wen Lee, MD, PhD · Chang Gung Memorial Hospital, Chiayi, Taiwan

Eligibility

Min Age
6 Years
Max Age
13 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-08-01
Primary Completion
2022-07-31
Completion
2022-07-31

Countries

  • Taiwan

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04989062 on ClinicalTrials.gov