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A scale without anthropometric measurements can be used to identify low weight-for-age in children less than five

M Orozco1, H Martinez, H Reyes

  • 1Interinstitutional Health Services Research Group, Mexican Social Security Institute-Ministry of Health, Mexico City, Mexico.

The Journal of Nutrition
|December 30, 1998
PubMed

Insights

A new scale helps identify low weight-for-age in children without measurements, aiding malnutrition reporting in child mortality. This tool is crucial for accurate data collection in public health initiatives.

Area of Science:

  • Public Health
  • Pediatrics
  • Epidemiology

Background:

  • Malnutrition and morbidity are linked to child mortality, but malnutrition is underreported in deceased children due to lack of anthropometric data.
  • Accurate assessment of nutritional status in deceased children is essential for understanding mortality causes and informing public health interventions.

Purpose of the Study:

  • To develop a predictive scale for identifying low weight-for-age (w/a) in children lacking anthropometric measurements.
  • To determine an optimal cut-off point for the scale, maximizing sensitivity (Se) and specificity (Sp) in identifying low w/a.

Main Methods:

  • A diagnostic test study was conducted in rural Mexico, comparing a proposed scale against actual w/a measurements.
  • The scale incorporated clinical, socioeconomic, and family factors, including birth weight, feeding practices, socioeconomic status, sibling health, and morbidity history.
  • Logistic regression identified key predictors, and a cut-off value was selected to optimize Se and Sp. External validity was tested in a separate population.

Main Results:

  • The logistic regression model identified significant predictors of low w/a: low birth weight, delayed introduction of weaning foods and animal protein, low socioeconomic status, low sibling w/a, and high morbidity episodes.
  • A scale cut-off of 4 demonstrated high diagnostic accuracy in the initial study population, with Se of 85% and Sp of 95%.
  • External validation in a different rural population yielded Se of 84% and Sp of 81%, confirming the scale's utility.

Conclusions:

  • The developed scale effectively identifies children with low weight-for-age in the absence of anthropometric data.
  • The scale demonstrates good sensitivity and specificity, making it a valuable tool for estimating malnutrition in deceased children.
  • Integrating this scale into verbal autopsies can improve the reporting of malnutrition in child mortality data, supporting public health monitoring.

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