Determinants of anemia status among pregnant women in ethiopia: using 2016 ethiopian demographic and health survey data; application of ordinal logistic regression models

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Abstract

Background: Anemia is a serious public health problem that occurs when the blood contains fewer red blood cells than normal. In Ethiopia, the prevalence of anemia in pregnancy increased between 2005 and 2016. The aim of this study was to determine what factors influence the anemia status of pregnant women in Ethiopia. Methods: Anemia status in a sample of 1053 pregnant women was studied using data from Ethiopia's Demographic and Health Survey 2016. Percentages and graphs were used to show the prevalence of anemia. The marginal probability effect was used to determine the contribution of each explanatory variable category to a single response category of anemia level. Ordinal logistic regression models were constructed, and the best-fitting model was selected to reveal significant anemia status variables. Results: The prevalence of anemia in pregnant women was found to be 37.51% (3.04% severe, 17.28% moderate, and 17.1% mild anemic). The fitted partial proportional odds model revealed that anemia status of pregnant women was significantly associated with region afar (OR = 0.45; CI: 0.21–0.96), antenatal care visits above 4 (OR = 1.58; CI: 1.03–2.43), parity between 1–2 (OR = 0.47;CI: 0.26–0.85), iron taking (OR = 3.68;CI: 2.41–5.64), and higher education (OR = 4.75;CI: 2.29–9.85). Conclusions: Anemia among pregnant women has been identified as a moderate public health issue in Ethiopia. The study revealed that the prevalence of anemia varied among regions which the highest (65.9%) and the lowest (9%) being from Somali and Addis Ababa, respectively. As a result, it is argued that treatments target iron consumption, maternal education, antenatal visits, and mothers' access to health care.

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Animut, K., & Berhanu, G. (2022). Determinants of anemia status among pregnant women in ethiopia: using 2016 ethiopian demographic and health survey data; application of ordinal logistic regression models. BMC Pregnancy and Childbirth, 22(1). https://doi.org/10.1186/s12884-022-04990-8

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