Status:

RECRUITING

Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity.

Lead Sponsor:

University of Roma La Sapienza

Collaborating Sponsors:

University of Trieste

University of North Carolina, Chapel Hill

Conditions:

Obesity

Eligibility:

All Genders

18+ years

Brief Summary

This study aims to develop and cross-validate novel bioelectrical impedance analysis (BIA) equations for predicting appendicular soft tissue masses, specifically fat mass (FM) and appendicular lean ma...

Detailed Description

Assessing body composition in persons with obesity, and in particular, the excess of fat mass and the possible reduction of muscle mass, is important to define the phenotypic manifestation of obesity ...

Eligibility Criteria

Inclusion

  • Adults with obesity (BMI ≥ 30 kg/m²)
  • Age 18 years and older
  • Available baseline DXA and BIA measurements
  • Provided informed consent for data use

Exclusion

  • any chronic disease or medication that can significantly affect body composition \[eg. malignant diseases in the last 5 years, organ failure, acute inflammation (C-reactive protein\>10 mg/L) autoimmune diseases, neurological diseases, syndromic obesity\]
  • cognitive impairment (Mini-Mental State Examination \<25)
  • subjects that are considered physically active (athletes or very active subjects i.e., performing at least 150 minutes of moderate to vigorous physical activity per week)
  • alcohol intake \>140g/wk for Males and 70g/wk for Females
  • participation in a weight-reducing program (last 3 months)
  • impossibility to perform DXA exam
  • pregnancy and breast-feeding.

Key Trial Info

Start Date :

May 13 2021

Trial Type :

OBSERVATIONAL

Allocation :

ESTIMATED

End Date :

December 31 2025

Estimated Enrollment :

400 Patients enrolled

Trial Details

Trial ID

NCT06545435

Start Date

May 13 2021

End Date

December 31 2025

Last Update

August 26 2024

Active Locations (9)

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Page 1 of 3 (9 locations)

1

Pennington Biomedical Research Center, Louisiana State University

Baton Rouge, Louisiana, United States, 70808

2

Division of Geriatric Medicine, School of Medicine, and Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill

Chapel Hill, North Carolina, United States, 27514

3

Curtin University, School of Population Health

Perth, Australia, 6102

4

Federal University of Pelotas

Pelotas, Rio Grande do Sul, Brazil, 96010-610

Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity. | DecenTrialz