Mid-upper arm circumference (MUAC) as a feasible tool in detecting adult malnutrition
| Autor: | E van Tonder, Reinette Tydeman-Edwards, D Friskin, L Mace, Karin Gerber, L Steenkamp |
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| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: |
0301 basic medicine
Pediatrics medicine.medical_specialty 030109 nutrition & dietetics Nutrition and Dietetics business.industry Mid upper arm circumference Medicine (miscellaneous) medicine.disease Circumference 03 medical and health sciences Malnutrition 0302 clinical medicine Malnutrition screening Medicine 030212 general & internal medicine business Adults hospitalised malnutrition mid-upper arm circumference MUAC referral rates screening |
| Zdroj: | South African Journal of Clinical Nutrition; Vol. 32 No. 4 (2019); 93-98 |
| ISSN: | 2078-6190 2078-6204 |
| Popis: | 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/m2), 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. |
| Databáze: | OpenAIRE |
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