Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity.
NCT06545435 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 400
Last updated 2024-08-26
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 mass (ALM), in a sample of Caucasian adult subjects affected by obesity. The research will compare these new BIA equations with three established BIA-derived prediction models and validate them using dual-energy X-ray absorptiometry (DXA) and magnetic resonance imaging (MRI) data. This study utilizes existing datasets to enhance the accuracy and applicability of BIA in assessing body composition and supports the development of standardized algorithms for converting raw BIA data across different devices and populations.
Conditions
Sponsors & Collaborators
-
University of Trieste
collaborator OTHER -
University of North Carolina, Chapel Hill
collaborator OTHER -
Federal University of Pelotas
collaborator OTHER -
Louisiana State University Health Sciences Center in New Orleans
collaborator OTHER -
University of Cagliari
collaborator OTHER -
University of Lisbon
collaborator OTHER -
University of Alberta
collaborator OTHER -
Curtin University
collaborator OTHER -
University of Roma La Sapienza
lead OTHER
Eligibility
- Min Age
- 18 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2021-05-13
- Primary Completion
- 2025-06-30
- Completion
- 2025-12-31
Countries
- United States
- Australia
- Brazil
- Canada
- Italy
- Portugal
Study Locations
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