Objective: To explore the possibility for a statistically appropriate value of mid-upper arm circumference (MUAC) to identify the state of severe undernutrition, based on very low BMI, among adult Indian slum dwellers.
Design: Cross-sectional study on adults. Height and MUAC were recorded and BMI was computed. Chronic energy deficiency (CED) was determined using the WHO international guidelines as BMI<18·5 kg/m2 and normal as BMI≥18·5 kg/m2. Besides calculating mean, sd and 25th, 50th and 75th percentile values, multiple linear regression analysis was undertaken to assess the associations between age, MUAC and BMI. Receiver-operating characteristic curve analysis was performed to determine the best MUAC cut-off to identify CED status. The χ 2 test was used to assess significance of the difference in CED prevalence across MUAC categories.
Setting: An urban slum in Midnapore town, West Bengal State, India.
Subjects: Male (n 467) and female (n 488) Indian slum dwellers.
Results: MUAC of 22·7 and 21·9 cm, respectively, in males and females were the best cut-off points to differentiate CED from non-CED.
Conclusions: Results supported the validity of the WHO-recommended MUAC cut-offs for adults. There is still a need to establish statistically appropriate MUAC cut-offs to predict undernutrition and morbidity.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10261088 | PMC |
http://dx.doi.org/10.1017/S1368980018001301 | DOI Listing |
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