ArticlePLOS global public health2023
Tools for assessing child and adolescent stunting: Lookup tables, growth charts and a novel appropriate-technology "MEIRU" wallchart - a diagnostic accuracy study.
Article in PLOS global public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Accuracy of a smartphone-based 3D imaging tool for height measurement and stunting detection among children 24-59 months of age in Nepal: a validation study.The Lancet regional health. Southeast Asia · 2026Article
- Seasonal Food Availability, Preservation Practices, and Dietary Diversity in Children Under 5 in Western Kenya.Public health challenges · 2026Article
- Predicting severe stunting and its determinants among under-five in Eastern African Countries: A machine learning algorithms.PloS one · 2026Article
- The Paradox of Stunting: Differences in the Perception of Health Workers in Community Health Centers and Experts in Hospitals on Low Birth Weight and Stunting Data.Journal of multidisciplinary healthcare · 2026Article
- Application of an Ecological Approach to Assessment of Nutrition in School-Aged Children-A Report from the "Biomarkers of Nutrition for Development: Knowledge Indicating Dietary Sufficiency (BOND-KIDS)" Project Working Group 3.The Journal of nutrition · 2025Review
- Primary healthcare readiness for nutritionally at-risk infants aged under 6 months: a facility-based survey in Senegal.International health · 2025Article
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7 authors.
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Abstract
Stunting affects 149 million children worldwide and is a form of chronic malnutrition defined by low height-for-age. Surveys and intervention programmes depend on effective assessment and identification of affected individuals. Gold standard assessment is based on height-for-age Z-score (HAZ): HAZ <-2 defines stunting; HAZ <-3 defines severe stunting. However, a major problem for field-based programmes is that Z-scores can be time-intensive and challenging to calculate. We thus developed a novel wallchart that we have coined 'MEIRU wallchart' to easily and accurately identify stunted children and adolescents. Our study aim was to evaluate its performance and acceptability against other methods used in current clinical/field practice. We undertook a non-interventional diagnostic accuracy study in Malawi. We recruited 244 participants aged 8-19 years and determined each individual's stunting status using, in varying order: the MEIRU wallchart, traditional lookup tables, and traditional growth charts. All were compared against 'gold standard' HAZ, calculated using AnthroPlus WHO software. Local community healthcare workers performed all the assessments. The wallchart method was strongly preferred by both participants and staff. It had an overall accuracy of 95.5%(kappa = 0.91) and was faster than lookup tables by an average of 62.5%(41.4sec; p<0.001) per measurement. Lookup tables and growth charts had overall agreements of 59.4%(kappa = 0.36) and 61.9%(kappa = 0.31) respectively. At the HAZ-2 cut-off, the wallchart had a sensitivity of 97.6%(95%CI: 91.5-99.7) and specificity of 96.3%(95%CI: 92.1-98.6). We conclude that the MEIRU wallchart performs well and is acceptable for screening and identification of stunted children/adolescents by community-level health workers. It fulfils key criteria that justify a role in future screening programmes: easy to perform and interpret; acceptable; accurate; sensitive and specific. Potential future uses include: conducting rapid stunting prevalence surveys; identifying affected individuals for interventions. Current field methods, lookup tables and growth charts performed poorly and should be used with caution.
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