2020
DOI: 10.11648/j.sjph.20200804.15
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Prevalence of Acute Malnutrition and Associated Factors Among Under-Five Children in Gursum District, Somali Region, Ethiopia

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Cited by 8 publications
(18 citation statements)
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“…The closeness between the two prevalence reports could be due to that, both studies were conducted among under-fives and the two regions share significant food habit, culture and geography. On the contrary, a study conducted among under-fives in Gursum district of the Somali region of Ethiopia reported a 21.2% prevalence of malnutrition [ 43 ]. This discrepancy could be a result of differences in socio-economic characteristic, varying culture, geography and food habits.…”
Section: Discussionmentioning
confidence: 99%
“…The closeness between the two prevalence reports could be due to that, both studies were conducted among under-fives and the two regions share significant food habit, culture and geography. On the contrary, a study conducted among under-fives in Gursum district of the Somali region of Ethiopia reported a 21.2% prevalence of malnutrition [ 43 ]. This discrepancy could be a result of differences in socio-economic characteristic, varying culture, geography and food habits.…”
Section: Discussionmentioning
confidence: 99%
“…Hence, assuming a 95% confidence level (z=1.96), 5% margin of error(w) and taking 21.2% wasting prevalence(p) from another study in Ethiopia, 9…”
Section: Sample Size Calculationmentioning
confidence: 99%
“…4 Despite the government of Ethiopia joining the global campaign to end malnutrition by 2030 and decreasing wasting rate lately, the prevalence of wasting was still higher than the national rate in some parts of Ethiopia and remains to be public health problem in the country. [7][8][9] Substantial number of studies have identified different factors associated with wasting among children. For instance, a study done in Afghanistan identified education level of household heads, income, age of children, history of children with diarrhea in the last two weeks as determinants of wasting.…”
Section: Introductionmentioning
confidence: 99%
“…24 In Ethiopia, several studies have been conducted on child underweight. 10,[25][26][27][28][29][30][31][32][33][34][35][36][37] However, most of the studies considered underweight in children as a binary (normal and low weight-for-age) variable. As a result, the binary logistic regression model was applied to identify the risk factors of underweight in children.…”
Section: Introductionmentioning
confidence: 99%
“…As a result, the binary logistic regression model was applied to identify the risk factors of underweight in children. 10,25,[27][28][29][30][31][32][33][34][35][36][37] However, the weight-forage of a child is usually classified as normal, moderate underweight and severe underweight. Ignoring the discrete ordinal nature of the response variable would make the analysis lose some useful information and might lead to misinterpretation of the main findings.…”
Section: Introductionmentioning
confidence: 99%