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Prevalence’s of Undernourishment and It’s Associated Factors of Children
among 6-59 Months Age in Guto Gida District, East Wollega Zone, Oromia,
Ethiopia


Alemu Adeba[1], Sileshi Garoma[2], Habtamu Fekadu[2a], Wondu Garoma[2]
Page No. 50-72


Abstract

Nutrition is central pillar of human life and its request differ with respect to age, gender and during
physiological changes such as complimentary feeding and child age. Ethiopia has a high
prevalence of Acute and Chronic Malnutrition, with almost half of Ethiopian children chronically
malnourished and one-in-ten children wasted. About 47% of children under-five are stunted, 11%
are wasted and 38% are underweight (EDHS, 2011). A community based cross- sectional
descriptive survey and measurements of MUAC was used to investigate Prevalence of
Undernourishment and Its Associated Factors among Children 6-59 Months of Age in Guto Gida
District, East Wollega Zone, Oromia, Ethiopia. Multistage random sampling technique was used
and 359 children aged between 6-59 months aged were selected from 398 enrolled children to the
study.The quantitative data were analyzed using SPSS for windows version (17.0) and EPI-6.
Multiple logistic regressions were run to assess factors that were associated with the dependent
variable at p< 0.05 and to control the confounders.
Finally, the study result shows 27.5 percentage of children were severe stunted, 41.78% less than
65% median for height meaning that stunted children, 11.14% wasting for among 24-59months age
and wasted children 6-23months were 12.53%, 28.4% underweight, severe mal nourished 39.6%.
The quality of water was also one of the bottlenecks of child undernourishment at study area.
Despite many efforts going on, there is a need to intersectional collaboration to address the
immediate and intermediate causes of child undernourishment in Guto Gida districts. Moreover, it
is very demanding to scale-up the interventions in terms of the quality and quantity food reaching
the majority who need it.
Keywords: Prevalence, undernourishment, associated factors, anthropometry, MUAC, Guto Gida
District


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