Condition: Obesity · Sponsor: University of Roma La Sapienza
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.
This description comes directly from the study's public registry record.
Lorenzo M Donini, MD · 00390649690215 · lorenzomaria.donini@uniroma1.it
Eleonora Poggiogalle, Md, PhD · 00390649690215 · eleonora.poggiogalle@uniroma1.it
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Source record: clinicaltrials.gov/study/NCT06545435