Predicting Body Composition in Adults with Obesity Using BIA

This study is looking at how well a common tool called Bioelectrical Impedance Analysis (BIA) can measure body composition, specifically fat and muscle in the arms and legs, in adults with obesity. BIA is a quick and easy way to estimate body composition, but it doesn't always match results from more detailed methods like DXA (Dual-energy X-ray Absorptiometry). This research aims to create and test new BIA formulas to make these measurements more accurate. The study will use existing data from 400 adults who are at least 18 years old, have obesity (BMI of 30 or higher), and have had both DXA and BIA measurements. The main goal is to see if these new BIA formulas can accurately predict body composition compared to DXA and MRI results.

Study design
This is an observational study involving 400 adult participants with obesity. It uses existing data to develop and test new ways to predict body composition.
What's involved
Not specified in the trial record.
Compensation
Not stated in the trial record.
Follow-up
The primary endpoint, measuring appendicular soft tissue masses, is assessed at baseline, meaning at the start of the study.

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NCT06545435

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

UNKNOWN
Not specifiedAges 18+Observational
University of Roma La Sapienza
~400 participants
Updated 2024-08-26 on ClinicalTrials.gov

At a glance

Recruiting sites
9 of 9 listed sites are recruiting right now
RecruitingSuspended, closed, or not yet open
What they're measuring
Development and Cross-Validation of BIA Equations for Appendicular Soft Tissue Masses
Measured over Baseline
Obesity
9 sites across 7 states
Italy3
Louisiana1
North Carolina1
Australia1
Rio Grande do Sul1
Alberta1
Portugal1

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Eligibility criteria

Inclusion

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

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.
  • Development and Cross-Validation of BIA Equations for Appendicular Soft Tissue MassesBaseline

    This primary outcome measures the accuracy and cross-validation of newly developed bioelectrical impedance analysis (BIA) equations in predicting appendicular soft tissue masses, including fat mass (FM) and appendicular lean mass (ALM), in Caucasian adults with obesity. The aim is to validate these equations against dual-energy X-ray absorptiometry (DXA) measurements.