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Updated: May 29, 2026

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Mid-upper arm circumference and weight-for-height to identify high-risk malnourished under-five children
André Briend1, Bernard Maire, Olivier Fontaine
1Department of International Health, University of Tampere Medical School, Tampere, Finland. andre.briend@gmail.com
Insights
Mid-upper arm circumference (MUAC) alone is better than combining it with weight-for-height z-score (WHZ) for identifying children with severe acute malnutrition (SAM) at high risk of death. This finding simplifies diagnostic criteria for better child survival outcomes.
Area of Science:
- Pediatrics
- Global Health
- Nutritional Epidemiology
Background:
- Severe acute malnutrition (SAM) is a critical global health issue affecting children worldwide.
- Current diagnostic criteria for non-oedematous SAM include mid-upper arm circumference (MUAC) < 115 mm or weight-for-height z-score (WHZ) < -3.
- Accurate identification of SAM cases at high risk of mortality is crucial for timely intervention.
Purpose of the Study:
- To evaluate the diagnostic accuracy of combining MUAC and WHZ criteria for predicting mortality in children with SAM.
- To determine if using both MUAC and WHZ offers additional benefit over using either criterion alone in identifying high-risk children.
Main Methods:
- Utilized data from a longitudinal study in rural Senegal on anthropometry and mortality.
- Constructed receiver operating characteristic (ROC) curves for MUAC and WHZ to assess their predictive ability for mortality.
- Positioned the diagnostic thresholds (MUAC < 115 mm and WHZ < -3) on the ROC curves to compare their performance.
Main Results:
- Mid-upper arm circumference (MUAC) demonstrated superior predictive accuracy for mortality compared to weight-for-height z-score (WHZ), as indicated by its higher ROC curve.
- The combined criteria (WHZ < -3 and/or MUAC < 115 mm) did not improve mortality prediction compared to MUAC alone.
- Both diagnostic thresholds fell below the MUAC ROC curve, suggesting MUAC is a more sensitive indicator of mortality risk.
Conclusions:
- There is no added benefit in combining WHZ < -3 and MUAC < 115 mm for identifying children with SAM at high risk of death.
- Utilizing MUAC < 115 mm alone is a preferable and more effective diagnostic criterion for identifying high-risk SAM cases.
- Simplifying diagnostic criteria using MUAC can enhance the identification and management of severely malnourished children.
Abstract:
The World Health Organization and UNICEF define non-oedematous severe acute malnutrition (SAM) either by a mid-upper arm circumference (MUAC) less than 115 mm or by a weight-for-height z-score (WHZ) less than -3. The objective of this study was to assess whether there was any benefit to identify malnourished children with a high risk of death to combine these two diagnostic criteria. Data of a longitudinal study examining the relationship between anthropometry and mortality in rural Senegal and predating the development of community-based management of SAM were used for this study. First, the receiver operating characteristic (ROC) curves of MUAC and of WHZ to predict mortality were drawn, and then the points corresponding to WHZ less than -3 and/or MUAC less than 115 mm were positioned in relation to these curves. MUAC had the highest ROC curve, which indicates that it identifies high-risk children better than WHZ. Both points representing WHZ less than -3 and/or MUAC less than 115 mm were below the MUAC ROC curve. It is concluded that to identify high-risk malnourished children, there is no benefit in using both WHZ less than -3 and/or MUAC less than 115 mm, and that using MUAC alone is preferable.
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