A LOGISTICS REGRESSION MODELLING ON INFANT MORTALITY RATES IN EAST JAVA PROVINCE

Abstract

A LOGISTICS REGRESSION MODELLING ON INFANT MORTALITY RATES IN EAST JAVA PROVINCE Burhanuddin Lazuwardi Department of Biostatistics and Population Faculty of Public Health, Airlangga University, Surabaya, Indonesia Correspondence Address:Burhanuddin Lazuwardi Email: lazuwardi188@gmail.com ABSTRACT Infant mortality rate is the number of deaths that occurs between the time after babies are born until they are less than one year old. Broadly speaking, infant mortalities are grouped into endogenous and exogenous infant mortalities. about it was estimated 8.8 million children who were less than 5 years old passed away. The IDHs indicated that infant mortality fell by half, from 68 deaths per 1,000 live births in 1987-1991 to 32 deaths per 1,000 births in 2008-2012. This study was aimed to examine which factors gave the most dominant effect on infant mortality in East Java Province. It used secondary data with a large sample of the total population that consisted of parents whose children died at the age of <12 months. The variables in this study included Infant Mortality Rate (IMR), occupation, education, parity, age of the mothers during pregnancy. access to antenatal care, birth delivery assistance, and Low Birth Weight (LBW). While the effect across variables was examined using a logistic regression test. This study concluded infant mortality rates in East Java showed 34 cases per 1,000 live births. Factors affecting infant mortality rates were education and parity, but those which did not affectinvolved antenatal care, relief, low birth weight, and employment. Keywords: infant birth mortality, logistic regression.