Actively Recruiting
Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity.
Led by University of Roma La Sapienza · Updated on 2024-08-26
400
Participants Needed
9
Research Sites
241 weeks
Total Duration
On this page
Sponsors
U
University of Roma La Sapienza
Lead Sponsor
U
University of Trieste
Collaborating Sponsor
AI-Summary
What this Trial Is About
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
Official Title
Predicting Appendicular Lean and Fat Mass With Bioelectrical Impedance Analysis Among Adult Patients With Obesity.
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Adults with obesity (BMI 60 30 kg/m8)
- Age 18 years and older
- Available baseline DXA and BIA measurements
- Provided informed consent for data use
You will not qualify if you...
- Any chronic disease or medication significantly affecting body composition (e.g., cancer in last 5 years, organ failure, acute inflammation with C-reactive protein >10 mg/L, autoimmune diseases, neurological diseases, syndromic obesity)
- Cognitive impairment (Mini-Mental State Examination <25)
- Physically active individuals (athletes or those performing 150 minutes of moderate to vigorous physical activity weekly)
- Alcohol intake above 140g/week for males and 70g/week for females
- Participation in a weight-reducing program within the last 3 months
- Inability to perform DXA exam
- Pregnancy and breastfeeding
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 9 locations
1
Pennington Biomedical Research Center, Louisiana State University
Baton Rouge, Louisiana, United States, 70808
Actively Recruiting
2
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, 27514
Actively Recruiting
3
Curtin University, School of Population Health
Perth, Australia, 6102
Actively Recruiting
4
Federal University of Pelotas
Pelotas, Rio Grande do Sul, Brazil, 96010-610
Actively Recruiting
5
University of Alberta, Department of Agricultural, Food and Nutritional Science
Edmonton, Alberta, Canada, T6G 2P5
Actively Recruiting
6
University of Cagliari, Department of Life and Environmental Sciences
Cagliari, Italy, 09042
Actively Recruiting
7
Sapienza, University of Rome
Roma, Italy
Actively Recruiting
8
Department of Medical, Surgical and Health Sciences, University of Trieste, Trieste, Italy
Trieste, Italy
Actively Recruiting
9
Universidade de Lisboa, Exercise and Health Laboratory, CIPER, Faculdade de Motricidade Humana
Lisbon, Portugal, 1495-751
Actively Recruiting
Research Team
L
Lorenzo M Donini, MD
CONTACT
E
Eleonora Poggiogalle, Md, PhD
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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