RecruitingNCT06545435

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

Sponsor

University of Roma La Sapienza

Enrollment

400 participants

Start Date

May 13, 2021

Study Type

OBSERVATIONAL

Conditions

Obesity

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.

Eligibility

Min Age: 18 Years

Inclusion Criteria4

Adults with obesity (BMI ≥ 30 kg/m²)
Age 18 years and older
Available baseline DXA and BIA measurements
Provided informed consent for data use

Exclusion Criteria7

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.

Interested in this trial?

Get notified about updates and connect with the research team.

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