Evidence map›Paper›PMID 39325712›Full record

ArticlePloS one2024

Spatial variations and determinants of bottle feeding among children aged 0-23 months in Ethiopia in 2019: A spatial and multi-level analysis.

Fantu Mamo Aragaw, Mehari Woldemariam Merid, Adugnaw Zeleke Alem, Dagmawi Chilot, Melaku Hunie Asratie, Anteneh Ayelign Kibret, Daniel Gashaneh Belay

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Fantu Mamo AragawDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-4128-077X
Mehari Woldemariam MeridDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Adugnaw Zeleke AlemDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Dagmawi ChilotDepartment of Human Physiology, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Melaku Hunie AsratieDepartment of Women's and Family Health, School of Midwifery, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Anteneh Ayelign KibretDepartment of Human Anatomy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Daniel Gashaneh BelayDepartment of Human Anatomy, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBottle feeding should be avoided since it interferes with optimal breastfeeding and it causes diarrheal-related morbidity and mortality. Despite the WHO's recommendation that children to avoid bottle feeding, it is still widely practiced in developing countries including our country, Ethiopia. Therefore, this study aimed to assess the spatial variations, and determinants of bottle feeding among children aged 0-23 months using the recent demographic and health survey data for Ethiopia.

methodsA secondary data analysis was conducted using the 2019 Ethiopian mini demographic and health survey data. The total weighted sample of 2067 children aged 0-23 months was included in this study. Spatial analysis was done to identify the hotspot areas of bottle feeding among children in Ethiopia. Multivariable multilevel logistic regression was used to identify predictors of bottle feeding. The spatial analysis was done using ArcGIS 10.7 and Sat Scan 9.6 software.

resultThe prevalence of bottle feeding among children aged 0-23 months was 21.52% with 95% CI(19.80%, 23.34%). Age of the child from 6-11 months, and 12-23 months age, having secondary and above education [AOR = 2.09; 95%CI; 1.31, 3.32], being from middle and rich household [AOR = 2.14; 95%CI; 1.37, 3.34] and [AOR = 2.30; 95%CI; 1.46, 3.63], and twin birth [AOR = 8.06; 95%CI; 2.87, 22.58] were significant predictors of bottle feeding. Hotspot areas of bottle feeding were observed in Addis Ababa, Dire Dawa, Harari, and Afar regions of Ethiopia.

conclusionBottle feeding practice was found to be spatially clustered in Ethiopia. Education, wealth index, parity, and child's age were significant predictors of bottle feeding. Hotspot areas of bottle feeding were observed in Addis Ababa, Dire Dawa, Harari, and Afar regions. Special attention should be directed towards mothers residing in hotspot areas, educated mothers, mothers of multiple births, and mothers from rich households through community education programs focused on child feeding practices to reduce the practice of bottle-feeding in Ethiopia.

Indexed as

Bottle FeedingAdultBreast FeedingEthiopiaFemaleHealth SurveysHumansInfantInfant, NewbornMaleMultilevel AnalysisSocioeconomic FactorsSpatial AnalysisYoung Adult

Identifiers

PMID39325712
PMCPMC11426466

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