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Spatio-temporal distribution and associated factors of anaemia among children aged 6–59 months in Ethiopia: a spatial and multilevel analysis based on the EDHS 2005–2016

OBJECTIVES: Anaemia is a global public health problem with major health and socioeconomic consequences. Though childhood anaemia is a major public health problem in Ethiopia, there is limited evidence on the spatio-temporal variability of childhood anaemia over time in the country. Therefore, this s...

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Detalles Bibliográficos
Autores principales: Hailegebreal, Samuel, Nigatu, Araya Mesfin, Mekonnen, Zeleke Abebaw, Endehabtu, Berhanu Fikadie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372819/
https://www.ncbi.nlm.nih.gov/pubmed/34404697
http://dx.doi.org/10.1136/bmjopen-2020-045544
Descripción
Sumario:OBJECTIVES: Anaemia is a global public health problem with major health and socioeconomic consequences. Though childhood anaemia is a major public health problem in Ethiopia, there is limited evidence on the spatio-temporal variability of childhood anaemia over time in the country. Therefore, this study aimed to assess the spatio-temporal distribution and associated factors of childhood anaemia using the Ethiopian Demographic and Health Survey (EDHS) data from 2005 to 2016. DESIGN: Survey-based cross-sectional study design was employed for the EDHS. SETTING: Data were collected in all nine regions and two city administrations of Ethiopia in 2005, 2011 and 2016. PARTICIPANTS: The source population for this study was all children in Ethiopia aged 6–59 months. A total of 21 302 children aged 6–59 months were included in this study. OUTCOME MEASURE: The outcome variable was child anaemia status. RESULTS: The prevalence of anaemia declined from 53.9% in 2005 to 44.6% in 2011, but it showed an increase in 2016 to 57.6%. The spatial analysis revealed that the spatial distribution of anaemia varied across the regions. The spatial scan statistics analysis indicated a total of 22 clusters (relative risk (RR)=1.5, p<0.01) in 2005, 180 clusters (RR=1.4, p<0.01) in 2011 and 219 clusters (RR=1.4, p<0. 0.01) in 2016, significant primary clusters were identified. The child’s age, mother’s age, maternal anaemia status, wealth index, birth order, fever, stunting, wasting status and region were significant predictors of childhood anaemia. CONCLUSIONS: In this study, childhood anaemia remains a public health problem. The spatial distribution of childhood anaemia varied significantly across the country. Individual-level and community-level factors were associated with childhood anaemia. Therefore, in regions with a high risk of childhood anaemia, individual-level and community-level factors should be intensified by allocating additional resources and providing appropriate and tailored strategies.