Related Experiment Video
Updated: Jan 7, 2026

Body Composition and Metabolic Caging Analysis in High Fat Fed Mice
Published on: May 24, 2018
Comparing body composition techniques against an adapted multicompartment model in individuals with excess body
Julia Montenegro1, Jonathan P Bennett2, Camila L P Oliveira1
1Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Objectives:
Accurate body composition assessment is critical for detecting individuals at increased health risk from excess adiposity; however, many measurement techniques lose accuracy in those with a higher body mass index (BMI). This study evaluated the accuracy of body composition techniques against a 4-compartment (4C) model in individuals with overweight or obesity.
Methods:
N = 75 participants were categorized as having overweight (n = 56, BMI 25-29.9 kg/m2) or obesity (n = 19, BMI ≥30 kg/m2). Body composition was assessed by bioelectrical impedance analysis (BIA), air-displacement plethysmography (ADP), and dual-energy X-ray absorptiometry (DXA). An adapted 4C model used body mass, body volume (via ADP), bone mineral content (via DXA), and total body water (TBW, via BIA). Accuracy was assessed as mean differences (MD) ± standard deviation (comparator - 4C) and 95% limits of agreement (LoA).
Results:
ADP demonstrated the smallest overall difference in body fat percentage (BF%; MD = 0.10% ± 1.70%, LoA [-3.23, 3.43], P = 0.620), but its accuracy reduced in individuals with obesity. Both BIA (MD = 1.73% ± 1.72%, LoA [-1.52, 4.98]) and DXA (MD = 1.86% ± 1.79%, LoA [-1.65, 5.37]) overestimated BF% (both P < 0.001).
Conclusions:
Overall, ADP demonstrated the best accuracy, while DXA had the greatest differences compared to the 4C model. This may have resulted from TBW being overestimated by BIA, which would inflate 4C-derived fat-free mass. Although all methods demonstrated strong agreement for group-level BF%, a substantial individual-level variability (up to 5% error) highlights the need for caution when interpreting results in clinical or personalized assessment contexts in individuals with excess body weight.
More Related Videos
Related Concept Videos
Multicompartment Models: Overview
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
Two-Compartment Open Model: Overview
The...
Pharmacokinetic Models: Comparison and Selection Criterion
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
Model Approaches for Pharmacokinetic Data: Compartment Models
Two primary types of compartment models are recognized: mammillary and catenary. The more...
Clearance Models: Noncompartmental Models
The noncompartmental approach capitalizes on extensive sampling data, correlating the volume of distribution to systemic exposure and the administered dosage. This method enables...
Compartment Models: Two-Compartment Model

