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

J Nutr. 1998 Dec;128(12):2363-8. doi: 10.1093/jn/128.12.2363.

Abstract

Malnutrition and morbidity have a synergistic association that often leads to death. However, malnutrition in children who die is largely underreported, because anthropometry of the deceased child is rarely known. This study had two purposes: i) to develop a scale that would help determine if a child had low weight-for-age (w/a), in the absence of anthropometric measures; and ii) to select an appropriate cut-off that would give the best sensitivity (Se) and specificity (Sp) of the proposed scale when contrasted with actual w/a measurement. The study was designed as a diagnostic test, and carried out in a rural area in central Mexico. We included 132 children under 5 y old with w/a under -2 Z score and 284 children with marginal or no w/a deficit as a control group. The proposed scale included potential predictive variables from clinical, socioeconomic and family factors. The best logistic regression model to predict low w/a included: birth weight less than 2,800 g, introduction of weaning foods after the sixth month of life, introduction of animal protein after the sixth month of life, low socioeconomic status, low w/a in siblings and more than three morbidity episodes in the previous 6 mon. Selecting a cut-off of 4 for this model to identify children with low w/a showed a Se and Sp of 85 and 95%, respectively. We tested the external validity of the scale in a different locale, and included 877 children under 5 y old from 10 rural communities. In this population, the scale showed Se of 84% and Sp of 81% to identify low w/a. Based on these results, we propose that the scale be included as a means of identifying low w/a in children who have died. We believe that this should be done in verbal autopsies, which, based on our previous research, the Ministry of Health adopted as part of the regular activities to monitor problems in the disease to health-seeking to death process.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Birth Weight
  • Cause of Death
  • Child, Preschool
  • Family Characteristics
  • Female
  • Health Status Indicators
  • Humans
  • Infant
  • Logistic Models
  • Male
  • Mexico / epidemiology
  • Nutrition Disorders / epidemiology
  • Nutrition Disorders / mortality*
  • Nutritional Status
  • Poverty
  • Risk Factors
  • Rural Health
  • Sensitivity and Specificity
  • Thinness / diagnosis*
  • Thinness / epidemiology