2019
DOI: 10.1155/2019/6967170
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Risk Factors Associated with Under-Five Stunting, Wasting, and Underweight Based on Ethiopian Demographic Health Survey Datasets in Tigray Region, Ethiopia

Abstract: Background. Stunting, wasting, and underweight among children are major problems in most regions of Ethiopia, including the Tigray region. The main objective of this study was to assess the risk factors associated with stunting, wasting, and underweight of children in the Tigray region. Methods. The information collected from 1077 children born 5 years before the survey was considered in the analysis. Multivariable binary logistic regression analysis was fitted to identify significant risk factors associated w… Show more

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Cited by 53 publications
(84 citation statements)
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“…The risk of being stunted was 1.94 and 1.66 times more likely among children that were aged 25-47 and 48-59 as compared to those aged 0-24 months, respectively. This nding is in line with the studies conducted in Ethiopia [25], in Haramaya district [37], in Pakistan [38], in Amhara region [44] and in Kilimanjaro Region, Tanzania [45], but against the study conducted in Tigray region [5]. This might be because as children's' growth older, they may have fewer access attentions and not provide su cient food from their families.…”
Section: Discussionsupporting
confidence: 88%
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“…The risk of being stunted was 1.94 and 1.66 times more likely among children that were aged 25-47 and 48-59 as compared to those aged 0-24 months, respectively. This nding is in line with the studies conducted in Ethiopia [25], in Haramaya district [37], in Pakistan [38], in Amhara region [44] and in Kilimanjaro Region, Tanzania [45], but against the study conducted in Tigray region [5]. This might be because as children's' growth older, they may have fewer access attentions and not provide su cient food from their families.…”
Section: Discussionsupporting
confidence: 88%
“…The prevalence of wasting in this study is higher compared to the study conducted in Ethiopia 10.1% [25], in Haramaya district 10.7% [37], in Dale district 14% (32), in Tigray region [5] in Pakistan 10.7% [38] and Nairobi Peri-Urban slum 4.5% [35]. This divergence might be due to the difference in socioeconomic background, variation in sample size, dietary habits and type of meals among the study population.…”
Section: Discussioncontrasting
confidence: 72%
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“…Malnutrition can be due to local, national and international factors as well as environmental, social, economic, socio-demographic and political causes that are deeply interrelated, and mutually affect each other (Tigga, Sen et al 2015). In Ethiopia, the nutritional wellbeing of infants and young children is negatively associated with being born in rural area, being male, unprotected drinking water, smaller weight at birth, no antenatal follow-ups, diarrhoea, and low household wealth (Woldeamanuel and Tesfaye 2019). Causes of malnutrition in Uganda have equally been associated with immediate, basic and underlying factors as well as food prices, poverty and unemployment (Ickes, Jilcott et al 2012).…”
Section: Introductionmentioning
confidence: 99%