Assessing the risk factors associated with Low Birth Weight (LBW) and Mean Actual Birth Weight of Neonates: a case study of St. Martin’s Hospital, Agroyesum.

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A study on some selected socio-biological and demographic determinants of mean actual birth weight and Low Birth Weight (LBW) was conducted in St Martins Hospital, Agroyesum, Ghana. Records of 221 single live births over a period of one year (1st January to 31st December 2010) were analysed. The study was aimed at gaining understanding on the determinants of LBW and mean Actual Birth weight in the study area. The data were analyzed using SAS package. Predictors of LBW were assessed through logistic regression analysis and probit regression analysis whilst that of mean actual birth weight was also assessed through multiple linear regression analysis. The factors which were significant for LBW were gestation age, age of the mother and weight gain during pregnancy and that of mean actual birth weight was gestation age whilst occupation, sex of the infant and hypertension were not significant for LBW. The results from the three models indicate that gestation age was the predictor that has an influence on birth outcome. We also conclude from the probit and logit models that gestation age, mother’s age and weight of the mother at last menstrual period (MWT) are risk factors of low birth weight.
A Thesis submitted to the Department of Mathematics, Kwame Nkrumah University of Science and Technology, Kumasi, in partial fulfilment of the requirement for the degree of Master of Science Industrial Mathematics, 2011