Estimation of total body fat and subcutaneous adipose tissue in full-term infants less than 3 months old

N Kabir1, E Forsum

  • 1Department of Medical Nutrition, Karolinska Institute, Huddinge Hospital, Sweden.

Pediatric Research
|October 1, 1993
PubMed

Insights

Assessing infant body fat content is crucial. Skinfold measurements are poor predictors of total body fat (TBF), but further research into anthropometric measurements may offer future solutions.

Area of Science:

  • Pediatrics
  • Human Physiology
  • Body Composition Analysis

Background:

  • Infant nutrition significantly impacts body fat content.
  • Accurate measurement of total body fat (TBF) in infants is essential for epidemiological studies.
  • Existing methods for TBF estimation require validation.

Purpose of the Study:

  • To evaluate the accuracy of a skinfold measurement method for estimating TBF in infants.
  • To compare different techniques for measuring subcutaneous adipose tissue thickness.
  • To analyze adipose tissue composition and non-subcutaneous fat distribution.

Main Methods:

  • Comparison of skinfold measurements with body water dilution technique for TBF estimation.
  • Evaluation of calipers, ultrasonography, and Futrex 5000 for subcutaneous adipose tissue thickness.
  • Analysis of adipose tissue composition from biopsy specimens.
  • Assessment of non-subcutaneous fat in relation to body weight and demographics.

Main Results:

  • The initial skinfold method showed poor accuracy in predicting TBF.
  • Futrex 5000 correlated with subcutaneous adipose tissue thickness only when thin.
  • Discrepancies were observed between caliper and ultrasonography measurements across different body sites.
  • Non-subcutaneous fat increased with age and was higher in girls.

Conclusions:

  • Simple skinfold measurements are inadequate predictors of TBF in infants.
  • Further investigation into anthropometric measurements and adipose tissue development is needed for accurate TBF prediction.
  • Understanding infant body composition requires nuanced approaches beyond basic skinfold assessments.

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