Logistic regression analysis on the determinants of stillbirth in Ethiopia. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Berhie, Kidanemariam; Gebresilassie, Habtamu
• Is Part Of: Maternal health, neonatology and perinatology. Volume 2:Issue 1(2016)
• Page Start: 1
• Page End: 10
• Publication Date: 2016-12
• Subjects: Stillbirth -- Antenatal care visit -- Logistic regression -- Ethiopia; Maternal health services -- Periodicals; Neonatology -- Periodicals; Perinatology -- Periodicals; 618.2
• DOI: 10.1186/s40748-016-0038-5
• Languages: English
• ISSNs: 2054-958X

Abstract

Abstract Background Stillbirth is often defined as fetal death after 24 weeks of gestation, but a fetus greater than any combination of 16, 20, 22, 24, or 28 weeks gestational age and 350 g, 400 g, 500 g, or 1000 g birth weight may be considered stillborn depending on local law. Once the fetus has died, the mother may or may not have contractions and undergo childbirth or in some cases, a Caesarean section. Most stillbirths occur in full-term pregnancies. Methods This study has intended to model determinants of experiencing stillbirth among women in child bearing age group of Ethiopia using the Ethiopian demographic and health Survey data (EDHS, 2011). First, the bivariate chi-square test of association was fitted to the data and significant variables were considered for further investigation binary logistic regression models were fitted. Results This study revealed that the rate of experiencing stillbirth among women of child bearing age was about 25.5 per 1000 deliveries in Ethiopia. From binary logistic regression, region of residence, maternal age, place of residence, education level, parity, antenatal care utilization, place of delivery, body mass index (BMI) and anemia level were found to be significantly associated with experiencing stillbirth. Conclusions Researchers should use multilevel models than traditional regression methods when their data structure is hierarchical as like in Ethiopian Demographic and Health Survey data.