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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11389

Title: Determinants of Low Birth Weight Neonates: A Case Study of Tamale Metropolis in Ghana
Authors: Puurbalanta, Richard
Adebanji, Atinuke
Keywords: Birth weight
Logistic
Predictors
Maternal
Neonate
Issue Date: Mar-2015
Publisher: Journal for Studies in Management and Planning
Citation: Journal for Studies in Management and Planning, Volume 01, Issue 02 March 2015;Available at http://internationaljournalofresearch.org/index.php/JSMaP
Abstract: Low Birth Weight (LBW), a birth weight less than 2.5kg, is an important public health problem because LBW infants are at greater risk of mortality and morbidity in early infancy (WHO, 2004; UNICEF, 2004). The rate of LBW in the Northern Region consistently ranks high among the ten regions in Ghana, and Tamale metropolis has the highest percentage of LBW births among the twenty districts in the Northern Region, and this is a major concern for health care providers given the high cost of caring for LBW infants. In this study, logistic regression model was used to identify the determining variables in predicting LBW babies in the metropolis. The model was based on the birth records of 500 mothers of singleton neonates resident in the Tamale metropolitan area of the Northern Region of Ghana from November 2010 to January 2011. The significant model coefficients were Gestation (p-value = 0.0008), Household size (pvalue = 0.0160), Maternal food intake (p-value = 0.0002), Maternal health (p-value = 0.0000), Passive smoking (p-value = 0.0003) and Type of fuel used for cooking (p-value = 0.0418). A test of predictive ability of the model showed correct classifications of 93% for normal birth weight infants and 76.8% for LBW infants. The likelihood ratio and Nagelkerk R2 tests showed positive correlation between the predictors and LBW. Using the Hosmer and Lemeshow test of goodness of fit, a p-value 0.206 was obtained and thus the null hypothesis that the model fits the data well could not be rejected.
Description: An article published by Journal for Studies in Management and Planning, Volume 01, Issue 02 March 2015;Available at http://internationaljournalofresearch.org/index.php/JSMaP
URI: http://hdl.handle.net/123456789/11389
Appears in Collections:College of Science

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