Determinants of Low Birth Weight among Newborns Delivered at Addis Ababa Public Hospitals (unmatched case control study),Addis Abeba,Ethiopia,2018/2019.
| dc.contributor.advisor | Gebremichael Bereket | |
| dc.contributor.advisor | Wondwossen Kalkidan | |
| dc.contributor.author | Baye Getaneh | |
| dc.date.accessioned | 2020-06-01T07:17:35Z | |
| dc.date.accessioned | 2023-11-06T09:02:00Z | |
| dc.date.available | 2020-06-01T07:17:35Z | |
| dc.date.available | 2023-11-06T09:02:00Z | |
| dc.date.issued | 2019-02 | |
| dc.description.abstract | Background: Low birth weight is closely associated with fetal and neonatal morbidity, inhibitedgrowth and cognitive development, and chronic diseases in life. Birth weight also predicts thechild’s future health, growth, psychosocial development, and survival. Low birth weight can bedefined as weight at birth less than 2,500 grams irrespective of gestational age. In developingcountries, a birth weight below 2,500 grams is the leading cause of infant and child mortality andcontributes to several poor health outcomes. In Ethiopia, the prevalence of LBW is as high asmore than 13% according to studies from different regions of the country. Birth weight is a goodsummary measure of multifaceted public health problems that include long-term maternalmalnutrition, ill health, and poor health care during pregnancy. Objectives: Main aim of this study is to identify determinant factors of low birth weight amongnewborns delivered in Addis Ababa public hospitals 2018/2019. Methods: A hospital based unmatched case control study will be conducted among 279 deliveriesfrom March to April 1 2019 in Addis Ababa public hospitals, Ethiopia. The sample size isdetermined using double population proportion formula N=279. Consecutive sampling techniquewill be used to get cases and systematic sampling to get controls. Data will be collected byinterviewing the mothers, reviewing medical records and measuring the anthropometry of themothers and the newborns using structured and pretested questionnaire. Data will be entered usingEpi-data 4.12 software and analysis will be done using SPSS 23. Variables that show significantassociation in the bivariate logistic regression analysis (p<0.25) will be entered in multivariablelogistic regressions model. Adjusted odds ratio with 95% confidence interval (CI) and p value≤0.05 will be used to claim statistical significance. Work plan: The study will be conducted from September to June, 2018/2019.Budget: The total budget required for this project is 35970 Ethiopian birr | en_US |
| dc.identifier.uri | http://etd.aau.edu.et/handle/123456789/21369 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Addis Abeba University | en_US |
| dc.subject | Low birth weight, Determinants, Case control, Addis Abab | en_US |
| dc.title | Determinants of Low Birth Weight among Newborns Delivered at Addis Ababa Public Hospitals (unmatched case control study),Addis Abeba,Ethiopia,2018/2019. | en_US |
| dc.type | Thesis | en_US |