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Mid-upper arm circumference for identifying adult overweight in large-scale population-based surveys: empirical evaluation using data of the EAT Addis study, Ethiopia
OBJECTIVES: The present study evaluates body circumferences as a nutrition screening tool for women of reproductive age with children less than 5 years of age to improve the detection of overweight and obesity in a community setting. DESIGN: This study draws data from a community-based cross-section...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8640627/ https://www.ncbi.nlm.nih.gov/pubmed/34857561 http://dx.doi.org/10.1136/bmjopen-2021-049602 |
Sumario: | OBJECTIVES: The present study evaluates body circumferences as a nutrition screening tool for women of reproductive age with children less than 5 years of age to improve the detection of overweight and obesity in a community setting. DESIGN: This study draws data from a community-based cross-sectional study conducted between July–August 2017 and January–February 2018 to account for seasonality in Addis Ababa, Ethiopia. SETTING: One hundred and sixteen districts were included in Addis Ababa, Ethiopia. PARTICIPANTS: A total of 4914 women of reproductive age with children less than 5 years of age were participated in this study. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary outcome measures included anthropometric indices. There were no secondary outcomes. RESULTS: The optimal cut-off points to identify overweight women of reproductive age were >87.5 cm for waist circumference (WC), >31.7 cm for neck circumference (NC) and >28.0 cm for mid-upper arm circumference (MUAC) based on the highest corresponding Youden index. The area under the receiver operating characteristics curve was 0.92 (95% CI: 0.91 to 0.93) for WC, 0.83 (95% CI: 0.82 to 0.84) for NC and 0.91 (95% CI: 0.89 to 0.92) for MUAC. CONCLUSIONS: Our result shows that WC and MUAC are alternative tools to body mass index. Both WC and MUAC are effective in identifying overweight women. We recommend using MUAC in large-scale population-based assessments to identify overweight and obesity in low-income settings as it is logistically simpler and operationally feasible. |
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