Multiple Regressions Modelling For Maternal Determinants of Low Birth Weight

Abstract

This study examines the prevalence of low birth weight among infants and its association with maternal risk factors in Uganda. Fetal weight at birth is a major determinant of survival, physical growth and mental development of an infant. According to Uganda Demographic Health survey 2011 cross sectional data, 13.5% of 452 recorded births were low weight among teenage mothers, 9.7% of 1414 among mothers ranging from 20-34 years of age and 7.9% of 203 among those ranging from 35-49. This clearly shows that the prevalence of low birth weight is quite high. Multiple logistic regression was performed to determine the relationship of maternal risk factors and low birth weight. Logistic regression is a statistical model for analyzing a dataset in which one or more independent variables determine an outcome. This study emphasizes the need for improving maternal health, weight gain during pregnancies, prevention and proper management of risk factors along with improving socioeconomic and educational status of mothers.