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Updated: May 8, 2025

Assessment of Child Anthropometry in a Large Epidemiologic Study
Published on: February 2, 2017
Determining an optimal case definition using mid-upper arm circumference with or without weight for age to identify
Lyle Daryll Dimaano Casas1,2, Jhanna Uy1,3, Eldridge Ferrer4
1Research Department, Philippine Institute for Development Studies, Quezon City, Metro Manila, Philippines.
Insights
Mid-Upper Arm Circumference (MUAC) alone is insufficient for identifying wasted Filipino children. Combining MUAC with weight-for-age z-score (WAZ) significantly improves detection accuracy for moderate and severe wasting, aiding timely intervention.
Area of Science:
- Public Health Nutrition
- Pediatric Malnutrition
- Diagnostic Accuracy Studies
Background:
- Accurate anthropometric measurements like weight-for-height z-scores (WHZ) are crucial for identifying child wasting but are challenging in resource-limited settings.
- Mid-Upper Arm Circumference (MUAC) is a simpler screening tool, but its effectiveness alone in identifying wasting needs further evaluation.
- Existing MUAC cutoffs may lead to underdiagnosis and delayed treatment for wasted children, impacting health outcomes.
Purpose of the Study:
- To identify the optimal case definition for detecting child wasting in Filipino children aged 6-59 months using WHZ as the criterion standard.
- To evaluate the diagnostic performance of various MUAC cutoffs and combined MUAC-weight-for-age z-score (WAZ) definitions.
Main Methods:
- Analysis of the 2018-2019 Expanded National Nutrition Survey data from the Philippines (N=30,522).
- Assessment of the diagnostic accuracy (sensitivity, specificity, AUROC) of different MUAC cutoffs and combined MUAC-WAZ criteria against WHZ.
- Identification of the best-performing case definition based on the highest area under the receiver operating characteristic curve (AUROC).
Main Results:
- Current MUAC cutoffs demonstrated poor performance in identifying severe (AUROC: 0.558) and moderate (AUROC: 0.586) wasting.
- Optimal MUAC cutoffs were identified as <13.6cm for severe wasting (AUROC: 0.690) and 14.0cm for moderate wasting (AUROC: 0.737).
- Combining WAZ < -2 with MUAC cutoffs (<11.7cm for severe, <12.7cm for moderate) significantly improved diagnostic accuracy (AUROC: 0.800 and 0.810, respectively).
Conclusions:
- Solely relying on expanded MUAC cutoffs offers insufficient improvement for detecting wasting based on WHZ criteria in Filipino children.
- Integrating WAZ with MUAC provides a more accurate and sensitive approach to identify children with moderate and severe wasting.
- The proposed combined WAZ and MUAC case definitions warrant further investigation for practical implementation in the Philippine Integrated Management of Acute Malnutrition program.
Abstract:
In resource-limited areas, where accurate weight-for-height Z-scores are hard to obtain, Mid-Upper Arm Circumference (MUAC) is a simple tool to identify wasted children. MUAC alone, however, may miss identification of many wasted children, leading to untimely intervention and potentially death. Our study aimed to identify the best-performing case definition to detect wasting by Weight-for-Height z-scores (WHZ) in Filipino children aged 6-59 months. We analyzed the 2018-2019 Expanded National Nutrition Survey to assess the diagnostic performance of MUAC cutoffs and a case definition combining MUAC and weight-for-age z-score (WAZ) in identifying moderate and severe wasting compared to the WHZ criterion. The optimal cutoff and case definition was identified as having the highest area under the receiver operating characteristic curve (AUROC). Our findings showed that the current MUAC cutoffs poorly identify severe (sensitivity: 13%; specificity: 99%; AUROC: 0.558) and moderate (sensitivity: 22%; specificity: 96%; AUROC: 0.586) wasting (N = 30,522) in Filipino children. Instead, the optimal MUAC cutoff for severe and moderate wasting were <13.6cm (sensitivity: 62%; specificity: 76%; AUROC: 0.690) and 14.0cm (sensitivity: 80%; specificity: 67%; AUROC: 0.737). There was no effect of sex on MUAC cutoffs, but cutoffs increased with age. We found that the combination of WAZ < -2 or MUAC ≤ 11.7cm (Sensitivity: 80%; Specificity: 80%; AUROC: 0.800) for severe wasting and WAZ < -2 or MUAC ≤ 12.7cm (Sensitivity: 84%; Specificity: 78%; AUROC: 0.810) for moderate wasting significantly improved sensitivity for acceptable decreases in specificity. In summary, implementing alternative case definitions solely based on expanding MUAC insufficiently improves diagnostic accuracy for identifying wasted children by WHZ criteria. Combining WAZ with MUAC could increase the number of eligible children identified and treated by the Philippine Integrated Management of Acute Malnutrition. Further studies are advised to understand the practicality and cost-effectiveness of using the proposed alternative case definitions in the Philippines.
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