ReviewThe Lancet regional health. Southeast Asia2024
Local anthropometric parameters for assessing double burden of malnutrition in South Asian and Southeast Asian countries: a review and retrospective analysis.
Review in The Lancet regional health. Southeast Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Association Between Anthropometric Indices and Presence of Type 2 Diabetes Mellitus in Obesity.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2026Article
- The effect of early childhood stature on later cognitive functions in Indonesian adolescents: comparation using the National growth reference and the WHO growth standard.BMC pediatrics · 2025Article
- Article
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Authors and funding
11 authors.
Funding
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Abstract
The double burden of malnutrition (DBM) is a significant public health issue in South and Southeast Asia (SA and SEA). This study aimed to assess the impact of using local and regional ethnicity-specific anthropometric references versus international references on the prevalence of DBM in these regions.A narrative review of DBM prevalence using local versus international standards was conducted. Additionally, deidentified datasets from India and Indonesia were analyzed to evaluate the effectiveness of different growth standards in identifying DBM. Anthropometric Z-scores were compared, and sensitivity, specificity, and positive predictive value (PPV) were calculated.WHO standards had the lowest specificity for identifying short stature in India and Indonesia. BMI-for-age charts using WHO Growth Reference (2007) had lower sensitivity and higher specificity for metabolic risk. Local references showed lower stunting and higher overweight or obesity prevalence. International standards overestimated stunting and underestimated obesity, leading to misclassification and missed cases of metabolic risk. Funding: None.
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