Predicting Obesity Consequences Using Body Measure and Urine Metabolomics

Chang Gung Medical Foundation

Status: Unknown

Conditions: Electric Impedance; Body Composition; Non-Alcoholic Fatty Liver Disease

Treatments: Diagnostic Test: Hand grip strength; Diagnostic Test: Fibroscan; Diagnostic Test: Bioelectrical impedance analysis; Diagnostic Test: Urine unclear magnetic resonance metabolomics

Study type: Observational

Funder types: Other

Identifiers

NCT04989062

201901889A3

Details and patient eligibility

About

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.

Full description

Obesity is associated with non-alcoholic fatty liver in children. Currently, body mass index is used for stratification risk for non-alcoholic fatty liver disease in children. However, body mass index represents the adjusted weight status for height and may not be a perfect surrogate for body fatness. This study assumes that a combination of body measures including parameters of bioelectrical impedance analysis and hand grip strength may better represented body fatness and healthy status than body mass index. Moreover, non-alcoholic fatty liver disease is strongly associated with the metabolic syndrome and non-invasive urine metabolic profile may be used to predict the disease status. The aim of this study will be to develop non-invasive methods using body measures and urine metabolic profile to predict pediatric fatty liver disease.

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.

Enrollment: 1,200 estimated patients

Sex: All

Ages: 6 to 13 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Apparently healthy male or female children
• Students in Year 1 to Year 6 of primary schools

Exclusion criteria

• Unknown liver disease
• Metal implant or splint
• Pacemaker implantation
• Limb defect or injury
• Pregnancy

Trial design

1,200 participants in 1 patient group

Healthy children

Description:

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.

Treatment:

Diagnostic Test: Fibroscan

Diagnostic Test: Hand grip strength

Diagnostic Test: Urine unclear magnetic resonance metabolomics

Diagnostic Test: Bioelectrical impedance analysis