Haile PhD, AbebeAbebaw, Melaku2020-03-032023-11-182020-03-032023-11-182019-06http://etd.aau.edu.et/handle/12345678/20799Under nutrition is decreasing during the two-decade but still a major public health problem in the world especially in developing countries including Ethiopia. In Ethiopia child under nutrition is one of the most serious public health problems. Also in Oromia region prevalence of child under nutrition is serious public health problem. As discussed above, Bishoftu town is vulnerable to under nutrition and there is a common case of under-five under nutrition in study area. The study was assess the prevalence of under nutrition and associated factors among children of aged 6-59 months in kebele 01, 03, 05, and 07 Bishoftu Town, Oromia region. Cross-sectional design was employed in the existing randomly selected kebeles. The sample size was determined by using single population proportion formula then adjusted by finite population correction factor to draw the final 410 sample children and then allocated proportionally to each kebeles in the town. Then the households were selected using simple random sampling. If there is more than one child in the selected household only one child was considered randomly. Structured questionnaire was used to gather information on the demographic, socio-economic, and maternal and child caring practice, as well as nutritional practice of family for children’s. While anthropometric measurement was used to collect height, weight and mid-upper arm circumference following the standard measurement tools and procedures. Information was entered into Epi-Data version 3.1 and anthropometric measurements were converted into Z scores by WHO Anthro version 3.2.2., 2011 software. Then exported to STATA version 13 and analysed using descriptive statistics and inferential statistics. The result revealed that the prevalence of overall under nutrition was (34.4%) Specifically, severely stunting was (6.9%), stunting (13.8), underweight (2.2%) and wasting (11.2%). Bivariate and multivariate logistic regression model was employed to analyse prevalence of child under nutrition. The result of multivariate model revealed that family size, birth interval, child age and frequency of breast feeding as significant determinants for wasting. While for stunting, family size, level of mother’s education, birth interval, currently breast feeding, exclusive breast feeding and monthly income were found as statistically significant (p<0.05) determinants of child under nutrition. Additionally, age of child and household who hadn’t got advice and visited by health extension workers were more than five as likely to be underweight compared to those who are not frequently advised or visited were found statistically significant determinants of underweight. Thus, need continues training, awareness creation activities, special attention for family planning, child and maternal healthcare services by Bishoftu town Health Office and other practitioners. Besides, Bishoftu town Finance and Development Office should be made efforts to households engage in different income generating activities to improve child nutrition.enAssociatedMUACPrevalenceUnder NutritionUnder-fiveWeight for Age Z-score.Weight-for-age z-scoreThesis