• N Hadzivukovic, J Pavlovic, S Zivanovic, N Ivkovic, and M Racic.
• Department of Nursing, Faculty of Medicine, University of East Sarajevo, Foca, Bosnia and Herzegovina.
• Niger J Clin Pract. 2023 Nov 1; 26 (11): 165216581652-1658.

AimsThe aim of this study was to estimate cutoff values of mid-upper arm circumference (MUAC) and calf circumference (CC) for reduced muscle mass and analyze their accuracy in identifying malnutrition among individuals of 65 years of age or older in Bosnia and Herzegovina.Materials And MethodsThe study is a secondary analysis dataset assessing nutritional risk and malnutrition among 446 community-dwellers and nursing home residents in Bosnia and Herzegovina. Malnutrition assessment included phenotypic criterions (weight loss, low body mass index, and reduced muscle mass) and etiologic criterions (inadequate food intake, disease-related inflammation, or albumin levels) according to recommendations of the Global Leadership Initiative on Malnutrition (GLIM). Receiver operating curves were used to calculate MUAC and CC's cutoff values as compared to the Mini Nutritional Assessment (MNA).ResultsThe optimal cutoff value for MUAC in men was 24 cm (AUC = 0.910, sensitivity 100%, specificity 77%), and in women 23 cm (AUC = 0.792, sensitivity 64%, specificity 83%). Optimal cutoff value of CC in men was 31 cm (AUC = 0.818, sensitivity 100%, specificity 67%) and in women 29 cm (AUC = 0.882, sensitivity 86%, specificity 74%). Two hundred fifty nine elderly individuals were categorized as malnourished/at risk for malnutrition per MNA. The prevalence of malnutrition based on GLIM criteria ranged from 19% to 30%.ConclusionsThe study suggested that MUAC and CC may be used as the alternative indicators of muscle mass when other assessment methods are unavailable. Future validation and reliability studies for GLIM using anthropometric parameters as a proxy of reduced muscle mass are needed.Copyright © 2023 Copyright: © 2023 Nigerian Journal of Clinical Practice.

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