In this study, socioeconomic and some related determinants of infant mortality have been investigated on the basis of national data for 56 developing and underdeveloped countries. Multiple regression technique has been used to identify the variables which significantly associated with the infant mortality rate. Out of fourteen variables that were chosen initially as independent (explanatory) variables, four of them were dropped from the analysis as they posed of multicollinearity problem. The ten variables considered finally for inclusion in the regression model are per capita gross national product, percent of low birth weight, per capita daily calorie consumption, percent of population with acces to safe water supply, percent of population with have enough sanitary conditions, percent of using oral rehydration solution treatment, percent of population which arrived at health services, female literacy rates, percent of population which living in urban areas, percent of immunization with measles vaccine. Among these variables, percent of population with have enough sanitary conditions, female literacy rate and per capita daily calorie consumption are significantly associated with infant mortality rate. [Journal of Turgut Ozal Medical Center 1997;4(2):155-160]
KeyWords : Infant mortality, female literacy, calorie consumption, sanitary conditions
|