Predicting Obesity Consequences Using Body Measure and Urine Metabolomics
NCT ID: NCT04989062
Last Updated: 2021-08-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
1200 participants
OBSERVATIONAL
2020-08-01
2022-07-31
Brief Summary
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Detailed Description
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This study will recruit 1200 apparently healthy children at Year 1 to Year 6 in the primary schools in Taiwan within a two-year period. A series of tests including body measures, bioelectrical impedance analysis, hand grip strength and urine metabolomics by nuclear magnetic resonance will be performed in each participant. These data will be used as features to predict the results of Fibroscan test.
Conditions
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Study Design
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CASE_ONLY
PROSPECTIVE
Study Groups
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Healthy children
Apparently healthy children at Year 1 to Year 6 in the primary school in Taiwan. Exclusion criteria are children with metal implant or splint, pacemaker implantation, limb defect or injury and pregnant.
Fibroscan
Controlled attenuation parameter and liver stiffness measurement are measured.
Bioelectrical impedance analysis
Body composition measures including fat mass, fat-free mass, percentage body fat in total body and body segments are obtained.
Urine unclear magnetic resonance metabolomics
Metabolites in the urine are estimated by 600 MHz nuclear magnetic resonance.
Hand grip strength
Hand grip strength in both hands is measured by hand-held dynamometer.
Interventions
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Fibroscan
Controlled attenuation parameter and liver stiffness measurement are measured.
Bioelectrical impedance analysis
Body composition measures including fat mass, fat-free mass, percentage body fat in total body and body segments are obtained.
Urine unclear magnetic resonance metabolomics
Metabolites in the urine are estimated by 600 MHz nuclear magnetic resonance.
Hand grip strength
Hand grip strength in both hands is measured by hand-held dynamometer.
Eligibility Criteria
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Inclusion Criteria
* Students in Year 1 to Year 6 of primary schools
Exclusion Criteria
* Metal implant or splint
* Pacemaker implantation
* Limb defect or injury
* Pregnancy
6 Years
13 Years
ALL
No
Sponsors
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Ministry of Science and Technology, Taiwan
OTHER_GOV
Chang Gung Memorial Hospital
OTHER
Responsible Party
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Li-Wen Lee
Consultant Radiologist
Principal Investigators
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Li-Wen Lee, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Chang Gung Memorial Hospital, Chiayi, Taiwan
Locations
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Chang Gung Memorial Hospital
Chiayi City, , Taiwan
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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201901889A3
Identifier Type: -
Identifier Source: org_study_id
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