Abstract

BackgroundAnaemia is a major global public health problem, considerably affects young women in resource limited countries. The available researches on anaemia focused on children, pregnant women, or all women of reproductive age. However, women's biology and life experiences vary dramatically across 15 to 49 years, putting young women bear the higher burden of anaemia, mainly in low and middle income countries (LMICs). Therefore, this study assessed the burden of anaemia among young women (15–24 years) in 24 LMICs which conducted Demographic and Health Surveys (DHS) between 2016 and 2021.MethodData analysis was carried out with STATA version 14. The forest plot was used to explore the pooled prevalence of anaemia. Multilevel binary logistic regression was fitted to accommodate the hierarchical nature of the DHS data. Accordingly, a model with lowest deviance (model III) was the best-fitted model. All variables with a p-value ≤ 0.2 in the bi-variable analysis were fitted in the multi-level multivariable model. Adjusted odds ratio with 95% CI and p < 0.05 were presented to declare statistical significance.ResultThe pooled prevalence of anaemia among young (15–24 years) women in 24 LMICs was 41.58% (95%CI: 34.51, 48.65). Country wise, Mali (62.95%) and Rwanda (14.13%) constitute the highest and lowest prevalence of anaemia. In this study, young women who lived in the poorest wealth status, had no education, were underweight, perceived distance to the health facility a big problem, larger family size, and women who had ever terminated pregnancy were associated with increased odds of anaemia. Whereas, young women who were overweight and not breast feeding had decreased odds of anaemia.ConclusionThe unacceptably high burden of anaemia among young women setbacks the SDG target; to end all forms of malnutrition by 2030. Therefore, it is highly recommended to take relevant interventions to reduce the burden of anaemia targeted the young women who are uneducated, have low socio-economic status, limited access to health facilities, and lived in larger family size.

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