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[Body composition analysis using bioelectrical and anthropometric parameters].

M Casanova Román1, I Rodríguez Ruiz, S Rico de Cos

  • 1Servicio de Pediatría, Hospital Universitario de Puerto Real, Cátedra de Pediatría, Facultad de Medicina de Cádiz, Puerto Real, Cádiz, Spain. mcasanovar@telefonica.net

Anales De Pediatria (Barcelona, Spain : 2003)
|July 2, 2004
PubMed
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Bioelectrical impedance analysis (BIA) is a reliable method for assessing children's body composition. This technique accurately estimates fat-free mass and fat mass, correlating well with traditional anthropometric measurements.

Area of Science:

  • Pediatric Endocrinology
  • Human Physiology
  • Biomedical Engineering

Context:

  • Growing interest in childhood body composition assessment.
  • Bioelectrical impedance analysis (BIA) offers an accurate and reliable method.
  • Need for precise measurement of anthropometric parameters, fat-free body mass (FFM), and fat body mass (FBM).

Purpose:

  • To determine anthropometric parameters, FFM, and FBM in children using BIA and anthropometry.
  • To establish the relationship between BIA-derived and anthropometric measurements.
  • To validate BIA as a tool for pediatric body composition analysis.

Summary:

  • 365 healthy children (6.0–14.9 years) underwent measurements of weight, height, arm circumference, skinfolds, and bioelectrical parameters.

Related Experiment Videos

  • Body density was calculated using skinfolds (Brook's formula); FFM was calculated using BIA (Deurenberg's equation).
  • BIA demonstrated excellent reliability (intraclass correlation coefficients > 0.94) for estimating fat mass and showed significant correlations with anthropometric variables.

    • Impact:

    • BIA is confirmed as an easy, low-cost, and highly reliable technique for pediatric body composition studies.
    • Findings support the use of BIA as a valuable tool for monitoring growth and nutritional status in children.
    • The strong correlation with anthropometric variables enhances confidence in BIA's application in clinical and research settings.