PLoS ONE (Jan 2023)

Major maternal related determinants of non-breastfeeding among mothers in Ethiopia: A multilevel analysis from DHS Ethiopia 2016

  • Amare Wondim,
  • Masresha Asmare Techane,
  • Chalachew Adugna Wubneh,
  • Nega Tezera Assimamaw,
  • Getaneh Mulualem Belay,
  • Tadesse Tarik Tamir,
  • Addis Bilal Muhye,
  • Destaye Guadie Kassie,
  • Bewuketu Terefe,
  • Bethelihem Tigabu Tarekegn,
  • Mohammed Seid Ali,
  • Beletech Fentie,
  • Almaz Tefera Gonete,
  • Berhan Tekeba,
  • Selam Fisiha Kassa,
  • Bogale Kassahun Desta,
  • Amare Demsie Ayele,
  • Melkamu Tilahun Dessie,
  • Kendalem Asmare Atalell,
  • Tewodros Getaneh Alemu

Journal volume & issue
Vol. 18, no. 6

Abstract

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Introduction In Ethiopia, the burden of non-breastfeeding is still high despite substantial improvements in breastfeeding. However, the determinants of non-breastfeeding were poorly understood. Therefore, the aim of this study was to identify the maternal -related factors associated with non-breastfeeding. Methods An in-depth analysis of data from the Ethiopian Demographic and Health Survey 2016 (EDHS 2016) was used. A total weighted sample of 11,007 children was included in the analysis. Multilevel logistic regression models were fitted to identify factors associated with non-breastfeeding. A p-value Results The prevalence of non-breastfeeding in Ethiopia was 5.28%. The odds of not breastfeeding were 1.5 times higher among women aged 35to 49 years (AOR = 1.5 CI: 1.034, 2.267) than among women aged 15to 24 years. The odds of not breastfeeding were higher among children whose mothers had BMIs of 18.5–24.9 (AOR = 1.6 CI: 1.097, 2.368) and 25–29.9 (AOR = 2.445 CI: 1.36, 4.394) than among women with BMIs of Conclusions Although breastfeeding practices are gradually improving in Ethiopia, the number of children not breastfed remains high. Individual-level characteristics (women’s age, body mass index, and ANC follow-up) and community-level characteristics (geographic region) were statistically significant determinants of non-breastfeeding. Therefore, it is good for the federal minister of Health, planners, policy and decision- makers, and other concerned child health programmers to prioritize both individual and community factors.