1. Mid-upper arm circumference (MUAC) as a feasible tool in detecting adult malnutrition.
- Author
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Van Tonder, E, Mace, L, Steenkamp, L, Tydeman-Edwards, R, Gerber, K, and Friskin, D
- Subjects
MALNUTRITION diagnosis ,MALNUTRITION ,ANTHROPOMETRY ,DIETETICS ,HEALTH status indicators ,LEANNESS ,RESEARCH methodology ,MEDICAL cooperation ,MEDICAL records ,MEDICAL referrals ,METROPOLITAN areas ,NURSES ,OBESITY ,PHYSICIANS ,PUBLIC hospitals ,QUESTIONNAIRES ,RESEARCH ,BODY mass index ,DISEASE prevalence ,CROSS-sectional method ,RECEIVER operating characteristic curves ,ARM circumference ,ACQUISITION of data methodology ,TERTIARY care - Abstract
Objectives: This study aimed to expand on the limited South African malnutrition prevalence data and investigate the feasibility of mid-upper-arm circumference (MUAC) as a malnutrition screening tool. Design: A cross-sectional, multi-centre, descriptive design was adopted. Setting: The study was undertaken in three tertiary public hospitals in the same urban area within the Eastern Cape of South Africa. Subjects: Adult hospitalised patients volunteered to participate (n = 266). Methods: Data were collected using interviewer-administered questionnaires; obtaining anthropometric measurements; and consulting medical files. For maximum accuracy of various MUAC cut-off points, receiver operating characteristic curves were generated and area under the curve determined. Results: Both body mass index (BMI) and MUAC identified 21% of participants as underweight or malnourished, and 39% as overweight or obese. The Malnutrition Universal Screening Tool (MUST) found 23% at increased malnutrition risk. Nurses or doctors detected and referred only 19% of underweight patients (BMI < 18.5 kg/m
2 ), to dietetics services. Direct measurements of BMI and MUST were unobtainable in 38% and 43% of patients respectively, whilst MUAC was obtainable in 100%. A statistically significant relationship (p < 0.001) exists between MUAC, BMI and MUST to detect malnutrition or malnutrition risk. MUAC cut-offs for undernutrition were determined at < 23 cm (BMI < 16 kg/m2 ) and < 24 cm (BMI < 18.5 kg/m2 ), respectively, for the study's population groups. Conclusion: Malnutrition prevalence was high in this study, but often unidentified, with only a fifth referred to dietetic services. MUAC is a feasible method to identify adult malnutrition and should be considered as a malnutrition screening tool and key nutritional status indicator in South African public hospitals. [ABSTRACT FROM AUTHOR]- Published
- 2019
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