Ayele Taye

Determinants of Nutritional Status of Children Under Age Five: Modeling Nutritional Status of Children Under Age Five Ayele Taye

The study has been intended to model determinants of nutritional status of children under age five using cross-sectional study design and two-stage cluster sampling methods during data collection. Logistic regression model was used for data analysis because logistic regression belongs to the class of generalized linear models and is commonly used strategy in analyzing data which have categorical dependent variable. It allows one to predict a discrete outcome, such as group membership from a set of predictor, since logistic regression calculates the probability of success over the probability of failure and relationships and strength among the variables. The study used data collected from children under age five by using Anthropometric measurements and taking demographic, socioeconomic, environmental, nutritional, and health seeking variables by using administered questionnaire from mothers and care givers of children of Hawassa Zuria woreda in Sidama Zone, SNNPR, Ethiopia.