Prognostic value of different anthropometric indices over different measurement intervals to predict mortality in

André Briend1,2, Mark Myatt3,4, James A Berkley5,6

  • 1Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Rolighedsvej 30, DK-1958, Frederiksberg, Denmark.

Public Health Nutrition
|February 1, 2023
PubMed

Insights

Frequent anthropometric measurements, including mid-upper arm circumference (MUAC), improve identifying malnourished children at high risk of death. Shorter follow-up periods enhance prediction accuracy for mortality risk in children.

Area of Science:

  • Pediatric Nutrition
  • Global Health
  • Biostatistics

Background:

  • Child malnutrition remains a significant global health challenge, contributing to high mortality rates.
  • Accurate and timely identification of at-risk children is crucial for effective intervention.
  • Anthropometric measurements are widely used indicators of nutritional status in children.

Purpose of the Study:

  • To compare the prognostic value of mid-upper arm circumference (MUAC), weight-for-height Z-score (WHZ), and weight-for-age Z-score (WAZ) for predicting child mortality.
  • To evaluate the predictive accuracy of these indices over different follow-up periods (1, 3, and 6 months).

Main Methods:

  • Pooled analysis of twelve prospective community-based studies from Africa and Asia.
  • Inclusion of children aged 6-59 months.
  • Comparison of sensitivity and false-positive ratios for MUAC, WHZ, and WAZ in predicting death within 1, 3, and 6 months.

Main Results:

  • Receiver operating characteristic curves indicated higher accuracy for shorter follow-up durations across all anthropometric indices.
  • 1-month follow-up showed significantly higher sensitivity for death prediction compared to 6-month follow-up for MUAC, WHZ, and WAZ.
  • Weight-for-age Z-score (WAZ) < -3 identified more children who died but also resulted in a higher false-positive ratio compared to MUAC < 115 mm.

Conclusions:

  • Regular anthropometric measurements enhance the identification of malnourished children at high risk of mortality with minimal increase in false positives.
  • While combining indices increases sensitivity, it may also elevate false-positive rates.
  • Shorter follow-up periods improve the predictive value of anthropometric indices for mortality in children.
Abstract

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