Mid-upper arm circumference as a substitute for body mass index in the assessment of nutritional status among adults in eastern Sudan

Abstract Background Body mass index (BMI) remains the most used indicator of nutritional status despite the presence of a potentially credible alternative. Mid-upper arm circumference (MUAC) is an anthropometric measure that requires simple equipment and minimal training. The aim of this study was t...

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Bibliographic Details
Main Authors: Imad R. Musa, Saeed M. Omar, Ishag Adam
Format: Article
Language:English
Published: BMC 2022-11-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-022-14536-4
Description
Summary:Abstract Background Body mass index (BMI) remains the most used indicator of nutritional status despite the presence of a potentially credible alternative. Mid-upper arm circumference (MUAC) is an anthropometric measure that requires simple equipment and minimal training. The aim of this study was to compare MUAC with BMI and propose a MUAC cut-off point corresponding to a BMI of < 18.5 kg/m2 (underweight) and ≥ 30.0 kg/m2 (obesity) among Sudanese adults. Methods A cross-sectional study using multistage cluster sampling was conducted in New-Halfa, eastern Sudan. Participants’ age and sex were recorded and their MUAC, weight and height were measured using the standard procedures. The MUAC (cm) cut-offs corresponding to < 18.5 kg/m2 and ≥ 30.0 kg/m2 were calculated and determined using receiver operating characteristic (ROC) curve analysis Results Five hundreds and fifty-two adults were enrolled in the study. The median (interquartile range, IQR) of the participants age was 31.0 (24.0 ̶ 40.0) years and 331 (60.0%) of them were females. The medians (IQR) of BMI and MUAC were 22.4 (19.1 ̶ 26.3) kg/m2 and 25.0 (23.0 ̶ 28.0) cm, respectively. There was a significant positive correlation between MUAC and BMI (r = 0.673, p < 0.001). Of the 552 enrolled participants, 104 (18.8%), 282 (51.1%), 89 (16.1%) and 77 (13.9%) were normal weight, underweight, overweight and obese, respectively. Best statistically derived MUAC cut-off corresponding to a BMI < 18.5 kg/m2 (underweight) was ≤ 25.5 cm in both males and females (Youden’s Index, YI = 0.51; sensitivity = 96.0%; specificity = 54.0%), with a good predictive value (AUROCC = 0.82). Best statistically derived MUAC cut-off corresponding to a BMI ≥ 30.0 kg/m2 (obesity) was ≥ 29.5 cm in both males and females (YI = 0.62, sensitivity = 70.3%, specificity = 92.0%), with a good predictive value (AUROCC = 0.86, 95.0% CI = 0.76 – 0.95). Conclusion The results suggest that the cut-offs based on MUAC can be used for community-based screening of underweight and obesity
ISSN:1471-2458