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Reliability and validity of bioelectrical impedance in determining body composition
A S Jackson1, M L Pollock, J E Graves
1Department of Health, Physical Education, and Recreation, University of Houston, Texas 77004.
Journal of Applied Physiology (Bethesda, Md. : 1985)
|February 1, 1988
Summary
The bioelectrical impedance method (BIA) for body composition is reliable but less accurate than skinfold measurements. BIA showed similar validity to body mass index (BMI), with height and weight being key factors.
Area of Science:
- Exercise Physiology
- Body Composition Analysis
- Anthropometry
Background:
- Accurate body composition measurement is crucial for health and performance assessment.
- Standard anthropometric methods and newer bioelectrical impedance analysis (BIA) are commonly used.
- Understanding the reliability and validity of BIA compared to established methods is essential.
Purpose of the Study:
- To evaluate the reliability and validity of bioelectrical impedance analysis (BIA) for body composition.
- To compare the accuracy of BIA with standard anthropometric methods (skinfold and hydrostatic).
- To assess BIA's correlation with body mass index (BMI).
Main Methods:
- Bioelectrical impedance analysis (BIA), skinfold measurements, and hydrostatic weighing were performed on 68 men and 120 women.
- Reliability was assessed using Generalizability theory, considering day-to-day and intertester error.
- Cross-validation involved correlating BIA-derived percent fat with hydrostatic measurements and BMI.
Main Results:
- BIA, skinfold, and hydrostatic methods demonstrated high reliability (Rxx = 0.957-0.987).
- BIA's cross-validation correlations (0.71-0.76) were significantly lower than sum of seven skinfolds equations (0.88-0.92).
- BIA accuracy was comparable to BMI (correlations 0.74-0.75), with height and weight explaining most variance.
Conclusions:
- While reliable, BIA is less accurate for body composition than skinfold methods.
- BIA's validity is comparable to BMI, suggesting its utility when more advanced methods are unavailable.
- Height and weight are significant predictors in BIA models for body composition.