Use of bioelectrical impedance analysis to assess body composition in rural Gambian children

M Prins1, S Hawkesworth, A Wright

  • 1Wageningen University and Research Centre, Wageningen, The Netherlands.

Insights

The Tanita body composition analyser requires specific equations for African children to accurately estimate fat-free mass (FFM). This study developed new prediction equations for better body composition assessment in Gambian youth.

Area of Science:

  • Pediatric Nutrition
  • Anthropometry
  • Body Composition Analysis

Background:

  • Accurate body composition assessment is crucial for monitoring child health.
  • Existing methods for estimating fat-free mass (FFM) may not be accurate in diverse populations.
  • Segmental body composition analysers offer a field-friendly approach.

Purpose of the Study:

  • To validate the Tanita BC-418MA Segmental Body Composition Analyser and four-site skinfold measurements.
  • To predict total body water (TBW), percentage fat-free mass (%FFM), and percentage body fat (%BF) in rural Gambian children.
  • To develop novel prediction equations for body composition in this population.

Main Methods:

  • One hundred thirty-three healthy Gambian children (65 males, 68 females) participated.
  • FFM was estimated using the Tanita system and compared against deuterium oxide dilution.
  • New prediction equations for %FFM and %BF were developed using anthropometric variables and skinfold measurements.

Main Results:

  • The Tanita system's inbuilt equations underestimated FFM compared to deuterium oxide dilution (P<0.003).
  • Prediction accuracy was better in younger children and males.
  • The best prediction for %FFM incorporated height, weight, sex, impedance, age, and four skinfold measurements (adjusted R(2)=0.84).

Conclusions:

  • The Tanita instrument can be a reliable field assessment tool for African children.
  • Population and gender-specific equations are necessary for accurate FFM estimation from impedance measurements.
  • This study provides validated equations for body composition analysis in Gambian children.
Abstract

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