Goswami, Anil KumarSathiyamoorthy, RamadassMani, KalaivaniKant, ShashiGupta, Sanjeev Kumar2023-08-092023-08-092022-12Goswami Anil Kumar, Sathiyamoorthy Ramadass, Mani Kalaivani, Kant Shashi, Gupta Sanjeev Kumar. Could mid-upper arm circumference be a valid proxy to the body mass index for elderly persons?. Indian Journal of Community & Family Medicine. 2022 Dec; 8(2): 143-1472395-21132666-3120http://imsear.searo.who.int/handle/123456789/221879Introduction: In elderly persons, due to physiological, anatomical, and functional changes, body mass index (BMI) may not be suitable for the assessment of nutritional status. Mid-upper arm circumference (MUAC) can be a proxy indicator to identify underweight and overweight/obesity among elderly persons. This study aimed to estimate the correlation between MUAC and BMI, and the cutoffs for MUAC using receiver operating characteristic (ROC) analysis. Material and Methods: This survey was carried out in a resettlement colony of Delhi. The participants were residents of the area who were aged 60 years or older, and selected by a simple random sampling technique. The arm span, weight, and MUAC of the participants were measured. The correlation between MUAC and BMI for gender and age group was calculated. The ROC curve was also constructed. Results: A total of 946 eligible participants were enrolled. The correlation between MUAC and BMI was 0.67 (P < 0.001) and 0.76 (P < 0.001) among men and women, respectively. The MUAC cutoff for underweight was <25 cm with a sensitivity of 68.8% and specificity of 84.9%. The area under the curve (AUC) was 0.84 (0.80–0.88). The MUAC cutoff for overweight/obesity was ?27 cm with a sensitivity of 83.9% and specificity of 64.9%, and AUC was 0.78 (0.75–0.82). Conclusion: The MUAC of the participants increased as the BMI of the participants increased. MUAC cutoff was determined using the ROC curve for underweight and overweight/obesity among elderly persons.Body mass indexelderly personsmid-upper arm circumferencenutritional assessmentJournal ArticleIndiaCentre for Community Medicine, All India Institute of Medical Sciences, New Delhi, IndiaDepartment of Biostatistics, All India Institute of Medical Sciences, New Delhi, India