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

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.

NCT Number	NCT06545435
Lead Sponsor	University of Roma La Sapienza Collaborators: University of Trieste, University of North Carolina, Chapel Hill, Federal University of Pelotas, Louisiana State University Health Sciences Center in New Orleans, University of Cagliari, University of Lisbon, University of Alberta, Curtin University
Conditions	Obesity
Enrollment	400 participants
Start Date	2021-05-13
Primary Completion	2025-06-30 (estimated)
Study Completion	2025-12-31 (estimated)
Updated on ClinicalTrials.gov	2024-08-26