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Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity.
Sponsor: University of Roma La Sapienza
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.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2021-05-13
Completion Date
2025-12-31
Last Updated
2024-08-26
Healthy Volunteers
No
Conditions
Locations (9)
Pennington Biomedical Research Center, Louisiana State University
Baton Rouge, Louisiana, United States
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
Curtin University, School of Population Health
Perth, Australia
Federal University of Pelotas
Pelotas, Rio Grande do Sul, Brazil
University of Alberta, Department of Agricultural, Food and Nutritional Science
Edmonton, Alberta, Canada
University of Cagliari, Department of Life and Environmental Sciences
Cagliari, Italy
Sapienza, University of Rome
Roma, Italy
Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
Trieste, Italy
Universidade de Lisboa, Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana
Lisbon, Portugal