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Methodological agreement between two-compartment body-composition methods in children
Anne M Buison1, Richard F Ittenbach, Virginia A Stallings
1Division of Gastroenterology and Nutrition, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104, USA.
Summary
Air-displacement plethysmography (ADP) underestimates body fat percentage in children compared to DXA and anthropometry. Agreement varies with fatness, height, age, and gender, impacting obesity diagnosis.
Area of Science:
- Pediatric obesity research
- Body composition analysis
- Biomedical engineering
Background:
- Rising childhood obesity rates necessitate accurate body composition assessment.
- Previous pediatric studies comparing air-displacement plethysmography (ADP) to dual-energy X-ray absorptiometry (DXA) and anthropometry (ANTH) had limitations in sample size or age range.
Purpose of the Study:
- Compare body fat percentage (%BF), fat mass (FM), and fat-free mass (FFM) between ADP, DXA, and ANTH in children.
- Identify factors influencing agreement between these body composition measurement techniques.
- Assess the consistency of agreement across varying levels of body fatness.
Main Methods:
- Evaluated 125 healthy children aged 7-10 years.
- Assessed body composition using air-displacement plethysmography (ADP), dual-energy X-ray absorptiometry (DXA), and anthropometry (ANTH).
- Analyzed agreement and influencing factors (fatness, height, age, gender) on %BF, FM, and FFM measurements.
Main Results:
- ADP underestimated %BF by 5.0% compared to DXA and 1.4% compared to ANTH.
- Agreement between techniques was significantly influenced by body fatness, height, age, and gender (P < 0.05).
- Relatively good agreement was found for fat mass (FM) and fat-free mass (FFM) between ADP, DXA, and ANTH.
Conclusions:
- The underestimation of %BF by ADP compared to DXA may be clinically significant for diagnosing childhood obesity.
- Variability in agreement necessitates further development of body composition techniques for children, considering age, gender, and fatness levels.