Women Malnutrition in Ethiopia
| dc.contributor.advisor | Sharma, M.K. (Professer) | |
| dc.contributor.author | Gezahegn, Woinshet | |
| dc.date.accessioned | 2018-06-28T08:38:35Z | |
| dc.date.accessioned | 2023-11-09T14:29:17Z | |
| dc.date.available | 2018-06-28T08:38:35Z | |
| dc.date.available | 2023-11-09T14:29:17Z | |
| dc.date.issued | 2014-06 | |
| dc.description.abstract | Ethiopia, a country with an area of 1.14 million km2 is located in the region that is known as the Horn of Africa. Malnutrition is a serious problem in Ethiopia, and women and children are the most affected segments of the population. Women are more likely to suffer from malnutrition than men are, for some potential reasons. Given this background the major objective of this study is to identify factors affecting women malnutrition in Ethiopia. In this study the data source was the Ethiopian Demographic and Health Survey conducted in 2011(EDHS 2011) by the Central Statistical Agency (CSA) with a total of 16,515 women of age 15-49 years. In this study 8,278 non-pregnant and non-postpartum women are considered. Descriptive statistics, binary logistic regression and multilevel logistic regression are used for statistical analysis. The descriptive result revealed that about 28.7% of the women were malnourished while 71.3% were not malnourished. Logistic regression analysis was performed to investigate the effect of predicators on women malnutrition. Accordingly, place of residence, region, education level, economic status, source of drinking water, toilet facilities, occupation of women and partner's occupation were found to be the significant determinants for women malnutrition. Moreover, multilevel modeling was used to analyze nested sources of variability in hierarchical data, taking in to account the variability associated within each level of the hierarchy. The estimates of the multilevel model showed that variables that are reported to be significant in logistic regression analysis were also found to be significant. The effect of these significant variables is the same all region in Ethiopia but the effect of economic status and education levels are not the same all regions in Ethiopia | en_US |
| dc.identifier.uri | http://10.90.10.223:4000/handle/123456789/4563 | |
| dc.language.iso | en | en_US |
| dc.publisher | Addis Abeba university | en_US |
| dc.subject | Malnutrition | en_US |
| dc.title | Women Malnutrition in Ethiopia | en_US |
| dc.type | Thesis | en_US |