دانلود رایگان مقاله انگلیسی تحلیل چند سطحی عوامل تعیین کننده شیوع کم خونی در میان کودکان در اتیوپی - هینداوی 2018

Background. Anemia is a widely spread public health problem and afects individuals at all levels. However, there is a considerable regional variation in its distribution. Objective. Tus, this study aimed to assess and model the determinants of prevalence of anemia among children aged 6–59 months in Ethiopia. Data. Cross-sectional data from Ethiopian Demographic and Health Survey was used for the analysis. It was implemented by the Central Statistical Agency from 27 December 2010 through June 2011 and the sampling technique employed was multistage. Method. Te statistical models that suit the hierarchical data such as variance components model, random intercept model, and random coefcients model were used to analyze the data. Likelihood and Bayesian approaches were used to estimate both fxed efects and random efects in multilevel analysis. Result. Tis study revealed that the prevalence of anemia among children aged between 6 and 59 months in the country was around 42.8%. Te multilevel binary logistic regression analysis was performed to investigate the variation of predictor variables of the prevalence of anemia among children aged between 6 and 59 months. Accordingly, it has been identifed that the number of children under fve in the household, wealth index, age of children, mothers’ current working status, education level, given iron pills, size of child at birth, and source of drinking water have a signifcant efect on prevalence of anemia. It is found that variances related to the random term were statistically signifcant implying that there is variation in prevalence of anemia across regions. From the methodological aspect, it was found that random intercept model is better compared to the other two models in ftting the data well. Bayesian analysis gave consistent estimates with the respective multilevel models and additional solutions as posterior distribution of the parameters. Conclusion.Te current study confrmed that prevalence of anemia among children aged 6–59 months in Ethiopia was severe public health problem, where 42.8% of them are anemic. Tus, stakeholders should pay attention to all signifcant factors mentioned in the analysis of this study but wealth index/improving household income and availability of pure drinking water are the most infuential factors that should be improved anyway.

5. Conclusions

Te current study confrmed that prevalence of anemia among children aged 6–59 months in Ethiopia was severe public health problem, where 42.8% of them anemic and based on WHO criteria greater than 40% are categorized under severe public health problem. Tus, stakeholders should pay attention to all signifcant factors mentioned in the analysis of this study but wealth index/improving household income and availability of pure drinking water are the most infuential factors that should be improved anyway. Regional variation is the sole fnding of this paper and hence potential stakeholders have to give special consideration for children who are living in the highest anemic prevalence regions. Moreover, those households who are living in nomadic region like Afar and Somalia should be trained on the cause of anemia and its consequences.

From the methodological aspect, it was found that multilevel random intercept model is better compared to variance components model and random coefcients model in ftting the data. Bayesian analysis gave consistent estimates with the respective multilevel models and additional solutions as posterior distribution of the parameters.