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Determining a global mid-upper arm circumference cut-off to assess underweight in adults (men and non-pregnant women).
- Source :
- Public Health Nutrition; Dec2020, Vol. 23 Issue 17, p3104-3113, 10p
- Publication Year :
- 2020
-
Abstract
- <bold>Objective: </bold>To determine if a global mid-upper arm circumference (MUAC) cut-off can be established to classify underweight in adults (men and non-pregnant women).<bold>Design: </bold>We conducted an individual participant data meta-analysis (IPDMA) to explore the sensitivity (SENS) and specificity (SPEC) of various MUAC cut-offs for identifying underweight among adults (defined as BMI < 18·5 kg/m2). Measures of diagnostic accuracy were determined every 0·5 cm across MUAC values from 19·0 to 26·5 cm. A bivariate random effects model was used to jointly estimate SENS and SPEC while accounting for heterogeneity between studies. Various subgroup analyses were performed.<bold>Setting: </bold>Twenty datasets from Africa, South Asia, Southeast Asia, North America and South America were included.<bold>Participants: </bold>All eligible participants from the original datasets were included.<bold>Results: </bold>The total sample size was 13 835. Mean age was 32·6 years and 65 % of participants were female. Mean MUAC was 25·7 cm, and 28 % of all participants had low BMI (<18·5 kg/m2). The area under the receiver operating characteristic curve for the pooled dataset was 0·91 (range across studies 0·61-0·98). Results showed that MUAC cut-offs in the range of ≤23·5 to ≤25·0 cm could serve as an appropriate screening indicator for underweight.<bold>Conclusions: </bold>MUAC is highly discriminatory in its ability to distinguish adults with BMI above and below 18·5 kg/m2. This IPDMA is the first step towards determining a global MUAC cut-off for adults. Validation studies are needed to determine whether the proposed MUAC cut-off of 24 cm is associated with poor functional outcomes. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13689800
- Volume :
- 23
- Issue :
- 17
- Database :
- Complementary Index
- Journal :
- Public Health Nutrition
- Publication Type :
- Academic Journal
- Accession number :
- 147299822
- Full Text :
- https://doi.org/10.1017/S1368980020000397