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Assessment of Child Anthropometry in a Large Epidemiologic Study
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Assessment of Child Anthropometry in a Large Epidemiologic Study

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Visceral fat assessment in over nourished children by ultrasonography and its relation to anthropometry

Jayaram Sankar1, Girija Mohan, Ramesh Pariyarath

  • 1Department of Pediatrics, Government TD Medical College, Alappuzha, Kerala, India. jayaramsankarkrdr@gmail.com

Indian Journal of Pediatrics
|January 11, 2012
PubMed

Insights

Visceral fat (VF) increases with age in overnourished children. Waist circumference is the best predictor of VF, though its predictive power is limited.

Area of Science:

  • Pediatric Endocrinology
  • Nutritional Science
  • Medical Imaging

Background:

  • Overnutrition in children is a growing global health concern.
  • Visceral fat accumulation is linked to metabolic complications.
  • Accurate measurement of visceral fat is crucial for risk assessment.

Purpose of the Study:

  • To quantify visceral fat (VF) in overnourished children aged 6-15 years using ultrasonography (USG).
  • To investigate the relationship between anthropometric measurements (AM) and VF in this population.
  • To identify the most effective anthropometric predictor of VF.

Main Methods:

  • A case series of 113 overnourished children (BMI >85th percentile) was conducted.
  • Visceral fat was assessed using ultrasonography (USG).
  • Correlation and linear regression analyses were used to examine relationships between VF and anthropometric measurements.

Main Results:

  • The mean total visceral fat was 145.63 mm (SD=25.37).
  • Total VF demonstrated a positive correlation with age, weight, height, hip circumference (HC), and waist circumference (WC).
  • Waist circumference (WC) exhibited the strongest correlation with VF and was identified as the best predictor.

Conclusions:

  • Visceral fat accumulation increases with age in overnourished children.
  • While waist circumference is the most significant predictor, its overall predictive capability for visceral fat is low.
Abstract

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