MEASUREMENT OF MORTALITY IN POPULATION STUDIES

ABSTRACT

This study is aimed to evaluate and fit an appropriate logistic regression model to maternal mortality. The data for this research was extracted from the 2018 Nigeria Demographic and Health Survey (NDHS). The analytical approach in this study encompasses bivariate and multivariate methods. For bivariate analysis, the study employed the Hosmer and Lemeshow test to examine the connection between various x socioeconomic variables (risk factors of maternal mortality), such as maternal age at childbirth, maternal education, residential location, geographic region, antenatal care attendance, place of delivery, mode of delivery and wealth quintile. The findings reveal that maternal mortality risk is highest for women at the age of 15. Additionally, women with no formal education are more susceptible to maternal mortality compared to their educated counterparts. Women residing in the South-South region are at the greatest risk, and rural areas also witness higher rates of maternal mortality. Maternal mortality rates are notably elevated among women in the lowest income quintile. Lack of antenatal care and home births are associated with increased maternal mortality. Furthermore, women undergoing Caesarean sections and those facing complications in early pregnancy experience higher maternal mortality rates.