Concurrently wasted and stunted children 6-59 months in Karamoja, Uganda: prevalence and case detection

Gloria Adobea Odei Obeng-Amoako1, Mark Myatt2, Joel Conkle3

  • 1Clinical Epidemiology Unit, School of Medicine, College of Health Sciences, Makerere University, Kampala, Uganda.

Insights

Wasted and stunted (WaSt) affects nearly 5% of children in Karamoja, Uganda, posing a significant health risk. Weight-for-age (WAZ) and mid-upper arm circumference (MUAC) show promise for early detection and intervention.

Area of Science:

  • Global Health
  • Pediatric Nutrition
  • Public Health Surveillance

Background:

  • Concurrent wasting and stunting (WaSt) is a severe form of child malnutrition with high mortality risks.
  • Understanding the prevalence and risk factors of WaSt is crucial for targeted interventions in vulnerable populations.

Purpose of the Study:

  • To assess the prevalence of WaSt among children aged 6-59 months in Karamoja, Uganda.
  • To explore overlaps between WaSt, wasting, stunting, underweight, and low mid-upper arm circumference (MUAC).
  • To determine optimal weight-for-age (WAZ) and MUAC thresholds for detecting WaSt.

Main Methods:

  • Secondary data analysis of the 2015-2018 Food Security and Nutrition Assessment (FSNA) cross-sectional survey.
  • Defined wasting, stunting, and underweight using <-2.0 z-scores based on WHO growth standards.
  • Defined low MUAC as <12.5 cm and WaSt as concurrent wasting and stunting.

Main Results:

  • WaSt prevalence was 4.96%, higher during the lean season (5.21%) than harvest season (4.53%).
  • All WaSt children were underweight, and 53.92% had low MUAC. Younger children (<36 months) and males were more affected.
  • A WAZ <-2.60 threshold showed 99.02% sensitivity and 90.71% specificity for WaSt detection. A MUAC <13.20 cm threshold had 81.58% sensitivity and 76.15% specificity.

Conclusions:

  • WaSt is a significant public health concern in Karamoja, linked to high mortality.
  • WAZ and MUAC are valuable screening tools for WaSt, with WAZ demonstrating higher accuracy.
  • Recommended continued prevalence monitoring and prospective studies to refine WAZ and MUAC cut-offs for WaSt detection and integration into feeding programs.

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