[Nutritional status of young children: a comparison among three anthropometric classifications]

P C Douek1, C Leone

  • 1Faculdade de Medicina da Universidade de São Paulo, Area de Pediatria do Centro de Saúde Escola Prof Samuel B Pessoa da FMUSP.

Insights

The Gomez method offers the best accuracy for classifying childhood malnutrition among the tested methods. However, it is not recommended for isolated use, especially in infants under one year old, due to potential misdiagnosis risks.

Area of Science:

  • Pediatric Nutrition
  • Growth Monitoring
  • Nutritional Assessment

Context:

  • Accurate nutritional status classification is crucial for early intervention in children under two.
  • Existing methods like Waterlow and WHO have limitations in precision.
  • Evaluating diagnostic tools is essential for effective public health strategies.

Purpose:

  • To compare the diagnostic accuracy of Gomez, Waterlow, and WHO methods for classifying nutritional status in children under two years.
  • To assess the predictive values (positive and negative) and agreement coefficients of each method against a gold standard.
  • To determine the most reliable method for identifying malnutrition in early childhood.

Summary:

  • A study involving 436 infants compared three nutritional status classification methods at 6, 12, 18, and 24 months.
  • The Gomez method demonstrated superior positive predictive value (PV+) and negative predictive value (PV-), along with a higher agreement coefficient (K), compared to Waterlow and WHO.
  • While Gomez showed better performance, its risk of misdiagnosis, particularly in the first year, precludes its use as a sole diagnostic criterion.

Impact:

  • Findings suggest the Gomez method is preferable but requires careful application, especially in infants.
  • Highlights the need for refined nutritional assessment tools to minimize misdiagnosis in young children.
  • Informs clinical practice and public health policy regarding the most effective methods for early childhood malnutrition screening.
Abstract