مقاله انگلیسی رایگان در مورد آنالیز عوامل تعیین کننده شیوع کم خونی در کودکان – هینداوی 2018

Anemia is a condition characterized by a low level of hemoglobin in the blood [1]. Anemia is a widespread public health problem, and severe anemia is a signifcant cause of childhood mortality [2]. Te World Health Organization (WHO) considers anemia prevalence over 40% as a major public health problem, between 20 and 40% as a mediumlevel public health problem, and between 5% and 20% as a mild public health problem [1]. High prevalence of anemia and its consequences on children’s health, especially for their growth and development, have made anemia an important public health problem, given the difculty in implementing efective measures for controlling it [3]. Terefore, it is important to understand the scope and strength of individual risk factors for anemia in populations where anemia is common to design more efective interventions [3]. According to [4] above 1.62 billion people were anemic worldwide, and approximately two-thirds of preschool children in Africa and South East Asia were anemic. According to the WHO report, more than half of the world’s preschoolage children (56.3%) reside in countries where anemia is a major public health problem [5]. In Sub-Saharan Africa, much of the national prevalence is estimated to be above 40% among this group [6]. In Ethiopia, more than four out of ten children under fve (44%) were anemic [7]. From these, about 21% of children were mildly anemic, 20% were moderately anemic, and 3% were severely anemic. Even if the national anemia prevalence estimate has dropped by 19 percent, from 54 percent in 2005 to 44 percent in 2011, it was a major public health problem according to the WHO criteria. Discussion about model comparison of multilevel model by using classical and Bayesian approaches is rare in literature. However, [8] examined the distribution of weighted anemia prevalence across diferent groups and performed logistic regression to assess the association of anemia with diferent factors based on BDHS (2011) data on hemoglobin (Hb) concentration among the children aged 6–59 months. Also [9] conducted a study on the determinants of anemia among children aged 6–59 months living in Kilte Awulaelo Woreda, Northern Ethiopia. Bivariate and multivariate logistic regression analyses were performed to identify factors related to anemia. In this paper we shall consider multilevel analysis of determinants of anemia prevalence among children aged 6–59 months in Ethiopia using classical and Bayesian approaches. Te main concerns of authors were to identify the major determinants and assess the prevalence of anemia among children aged 6–59 months in Ethiopia using classical and Bayesian approaches, that is, (i) to identify signifcant predictors of having high prevalence of anemia among children aged 6–59 months in Ethiopia through classical and Bayesian approach, (ii) to analyze the within- and between-regions variation of prevalence of anemia among children aged 6–59 months in Ethiopia, (iii) to make model comparison and suggest an appropriate model for analyzing anemia prevalence in Ethiopia.