A Field-based Three-Compartment Model Derived from Ultrasonography and Bioimpedance for Estimating Body Composition...

Area of Science:

• Exercise physiology
• Body composition analysis
• Biomedical engineering

Background:

• Accurate tracking of body composition changes is crucial for evaluating training and nutritional interventions.
• Laboratory-based three-compartment (3CLAB) models are considered reference standards but are often impractical for field settings.
• Field-based methods need validation against established laboratory techniques.

Purpose of the Study:

• To assess the agreement between a field-based three-compartment (3CFIELD) model and a laboratory-based three-compartment (3CLAB) model.
• To evaluate the 3CFIELD model's ability to track changes in body composition over time.
• To compare the 3CFIELD model's performance against individual field methods like ultrasonography (US) and bioelectrical impedance analysis (BIA).

Main Methods:

• Resistance-trained males underwent a supervised intervention.
• Body composition was assessed pre- and post-intervention using air displacement plethysmography (ADP), bioimpedance spectroscopy (BIS), portable ultrasonography (US), and bioelectrical impedance analysis (BIA).
• The 3CLAB model utilized ADP body density and BIS body water, while the 3CFIELD model used US-derived body density and BIA body water.

Main Results:

• All methods detected significant increases in fat-free mass and fat mass.
• The 3CFIELD model demonstrated equivalence with the 3CLAB model for tracking body composition changes.
• The 3CFIELD model showed superior performance compared to US or BIA individually, indicated by lower total error and better agreement.

Conclusions:

• The 3CFIELD model, integrating US and BIA data, is a potentially useful and accessible tool for tracking body composition changes in field or limited-resource settings.
• This model offers advantages over using US or BIA alone.
• The findings support the implementation of this multicompartment model for practical body composition monitoring.