ArticleFrontiers in nutrition2023
Mid-upper arm circumference as a screening tool for identifying underweight adolescents.
Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Establish Global Nutrition Research Strategies: The Meeting Report of the First SIOP Nutrition Research Forum.Nutrients · 2026Article
- Using Mid-Upper Arm Circumference z-score (MUACz) tapes for community-based assessment and monitoring of nutrition risks among young children: a qualitative analysis of experiences and lessons from southwest Kenya.BMC public health · 2026Article
- Malnutrition and Its Effect on Drug Pharmacokinetics: A Clinical Perspective.Clinical pharmacokinetics · 2025Review
- Exploring the role of nutritional status and anthropometric factors in anemia among adolescent girls in Pekanbaru, Indonesia.SAGE open medicine · 2025Article
- Nutritional Status of Adolescents in Eastern Sudan: A Cross-Sectional Community-Based Study.Nutrients · 2024Article
- Article
- Mid-upper-arm circumference: a surrogate measure for BMI for age z-score to identify thinness among adolescent girls in Addis Ababa, Ethiopia.Frontiers in nutrition · 2024Article
- Prediction of Hypertension Based on Anthropometric Parameters in Adolescents in Eastern Sudan: A Community-Based Study.Vascular health and risk management · 2024Article
- Protecting optimal childhood growth: systematic nutritional screening, assessment, and intervention for children at risk of malnutrition in the Kingdom of Saudi Arabia.Frontiers in nutrition · 2024Article
- Using mid-upper arm circumferenceFrontiers in nutrition · 2024Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Mid-upper arm circumference (MUAC) is a potentially credible alternative method for body mass index (BMI) to assess nutritional status. We aimed to assess the correlation between MUAC and BMI- Z-score and to identify a reliable MUAC cut-off point to detect underweight (BMI- Z-score of < -2 standard deviation) Sudanese adolescents. Methods: A cross-sectional study was conducted in eastern Sudan. After obtaining adolescents' age and sex, their weight, height, and MUAC were measured using the standard procedures. The MUAC (cm) cut-off corresponding to underweight was calculated using receiver operating characteristic (ROC) curve analysis. Results: In total, 390 adolescents were enrolled in the study and 205 (52.6%) of them were females. The median (interquartile range, IQR) age was 15.1 (14.0-16.3) years. The medians (IQR) of MUAC and BMI- Z-score were 22.0 (20.0-24.0) cm and - 0.62 (-1.5-0.3), respectively. MUAC was positively correlated with BMI Z-score in all participants ( Conclusion: MUAC has good accuracy results and can be adopted for community-based screening of underweight adolescents.
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