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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...

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Detalles Bibliográficos
Autores principales: Shifraw, Tigest, Selling, Katarina, Worku, Alemayehu, Berhane, Hanna Yemane, Ekström, Eva-Charlotte, Berhane, Yemane
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
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
Descripción
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.