Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity.
Eligible age
18+ yrs
Accepts
All genders
Locations
2 states
Healthy volunteers
No
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About this study
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.
Sponsor: University of Roma La Sapienza
You may qualify if…
- ✓ Adults with obesity (BMI ≥ 30 kg/m²)
- ✓ Age 18 years and older
- ✓ Available baseline DXA and BIA measurements
- ✓ Provided informed consent for data use
You may not qualify if…
- ✕ 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.
Where it's recruiting
Baton Rouge
Chapel Hill
Source: ClinicalTrials.gov · NCT06545435 · last updated 2024-08-26