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Related Experiment Videos

Is the bioelectrical impedance method suitable for epidemiological field studies?

P Deurenberg1, H E Smit, C S Kusters

  • 1Department of Human Nutrition, Agricultural University, Wageningen, The Netherlands.

European Journal of Clinical Nutrition
|September 1, 1989
PubMed
Summary

Bioelectrical impedance analysis (BIA) can accurately assess body composition in pubertal children using population-specific formulas. However, home measurements showed significant variability, impacting individual accuracy.

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Area of Science:

  • Pediatric Endocrinology
  • Human Physiology
  • Body Composition Analysis

Background:

  • Accurate body composition assessment is crucial for monitoring child development.
  • Bioelectrical impedance analysis (BIA) is a non-invasive method for estimating body composition.
  • Variability in BIA measurements can affect accuracy, particularly in field settings.

Purpose of the Study:

  • To develop and validate a population-specific prediction equation for fat-free mass (FFM) using BIA in pubertal children.
  • To assess the accuracy of BIA for body composition measurement in a home environment compared to a laboratory setting.
  • To compare the performance of BIA with anthropometric measurements for predicting body composition.

Main Methods:

  • Densitometry and bioelectrical impedance were used to measure body composition in 100 pubertal children (aged 11-16 years).

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  • BIA measurements were taken twice: in a laboratory before densitometry and during a home visit.
  • A population-specific prediction equation for FFM was derived from laboratory BIA data.

    • Main Results:

    • The developed population-specific formula showed high correlation and low standard error for FFM prediction.
    • Home BIA measurements were significantly higher than laboratory measurements (19 +/- 25 Ohms), with large individual variations.
    • Using non-population-specific formulas led to deviations between predicted and measured body composition.
    • Anthropometric measurements offered comparable or better individual body composition prediction due to higher reproducibility.

    Conclusions:

    • Bioelectrical impedance analysis is suitable for epidemiological studies of body composition in children, provided population-specific prediction formulas are utilized.
    • Home-based BIA measurements introduce significant variability, potentially compromising individual accuracy.
    • Anthropometric measurements remain a reliable alternative for assessing body composition, especially when BIA reproducibility is a concern.