Hayes, Julia; Quiring, Michael; Kerac, Marko; Smythe, Tracey; Tann, Cally J; Groce, Nora; Gultie, Zerihun; Nyesigomwe, Lydia; DeLacey, Emily; (2023) Mid-upper arm circumference (MUAC) measurement usage among children with disabilities: A systematic review. Nutrition and Health. 2601060231181607-. ISSN 0260-1060 DOI: https://doi.org/10.1177/02601060231181607
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Abstract
Background: Anthropometric measurements, including mid-upper arm circumference (MUAC), are used for monitoring and evaluating children's nutritional status. Evidence is limited on optimal nutritional assessment for children with disabilities, who are at high risk for malnutrition. Aim: This study describes MUAC use among children with disabilities. Methods: Four databases (Embase, Global Health, Medline, and CINHAL) were searched from January 1990 through September 2021 using a predefined search strategy. Of the 305 publications screened, 32 papers were included. Data included children 6 months to 18 years old with disabilities. Data including general study characteristics, methods for MUAC measurement, terminology, and measurement references were extracted into Excel. Due to heterogeneity of the data, a narrative synthesis was used. Results: Studies from 24 countries indicate that MUAC is being used as part of nutritional assessment, but MUAC measurement methods, references, and cutoffs were inconsistent. Sixteen (50%) reported MUAC as a mean ± standard deviation (SD), 11 (34%) reported ranges or percentiles, 6 (19%) reported z-scores, and 4 (13%) used other methods. Fourteen (45%) studies included both MUAC and weight-for-height but nonstandard reporting limited comparability of the indicators for identifying those at risk of malnutrition. Conclusion: Although its speed, simplicity, and ease of use afford MUAC great potential for assessing children with disabilities, more research is needed to understand its appropriateness, and how it performs at identifying nutritionally high-risk children in comparison to other measures. Without validated inclusive measures to identify malnutrition and monitor growth and health, millions of children could have severe consequences for their development.
Item Type | Article |
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Faculty and Department |
Faculty of Epidemiology and Population Health > Dept of Population Health (2012- ) Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & International Health (2023-) |
Research Centre | Centre for Maternal, Reproductive and Child Health (MARCH) |
PubMed ID | 37338528 |
Elements ID | 205531 |
Official URL | http://dx.doi.org/10.1177/02601060231181607 |
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