Prevalence Of Undernutrition And Associated Factors Among Children Aged 6-59 Months In Bishoftu Town Ethiopia

Under nutrition is decreasing during the two-decade but still a major public health problem in thernworld especially in developing countries including Ethiopia. In Ethiopia child under nutrition isrnone of the most serious public health problems. Also in Oromia region prevalence of child underrnnutrition is serious public health problem. As discussed above, Bishoftu town is vulnerable tornunder nutrition and there is a common case of under-five under nutrition in study area. The studyrnwas assess the prevalence of under nutrition and associated factors among children of aged 6-59rnmonths in kebele 01, 03, 05, and 07 Bishoftu Town, Oromia region. Cross-sectional design wasrnemployed in the existing randomly selected kebeles. The sample size was determined by usingrnsingle population proportion formula then adjusted by finite population correction factor to drawrnthe final 410 sample children and then allocated proportionally to each kebeles in the town. Thenrnthe households were selected using simple random sampling. If there is more than one child in thernselected household only one child was considered randomly. Structured questionnaire was used torngather information on the demographic, socio-economic, and maternal and child caring practice,rnas well as nutritional practice of family for children’s. While anthropometric measurement wasrnused to collect height, weight and mid-upper arm circumference following the standardrnmeasurement tools and procedures. Information was entered into Epi-Data version 3.1 andrnanthropometric measurements were converted into Z scores by WHO Anthro version 3.2.2., 2011rnsoftware. Then exported to STATA version 13 and analysed using descriptive statistics andrninferential statistics. The result revealed that the prevalence of overall under nutrition wasrn(34.4%) Specifically, severely stunting was (6.9%), stunting (13.8), underweight (2.2%) andrnwasting (11.2%). Bivariate and multivariate logistic regression model was employed to analysernprevalence of child under nutrition. The result of multivariate model revealed that family size,rnbirth interval, child age and frequency of breast feeding as significant determinants for wasting.rnWhile for stunting, family size, level of mother’s education, birth interval, currently breast feeding,rnexclusive breast feeding and monthly income were found as statistically significant (p

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