• Statistical Analysis Of Birth Pattern

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    • 1.1     OBJECTIVES OF THE STUDY
      This current study will be conducted with the sole aim of assessing the impact of:
         i.            Birth-weight on maternal age
        ii.            Birth-weight on Parity
       iii.            Birth weight on Gestational age
       iv.            Birth-weight on Maternal weight
       v.            Birth weight on Maternal height
      vi.            And finally, to estimate a model which will be able to predict an infant’s birth weight from afore mentioned factors.
      1.2     SIGNIFICANCE OF THE STUDY
      This research work explores the dependency of child’s birth weight on some factors which may affect it, therefore it will be significant to medical practitioners, maternity specialists and potential parents. It will also be of great benefits to future researchers who wish to explore issues concerning birth weight of a child.
      1.3     SCOPE AND LIMITATION OF THE STUDY
      The prevalence of low birth weight in Nigeria has been put previously at 16%, 9% and 12% (UNICEF 2001, 2003). Every single day, Nigeria loses about 2,300 under-five year olds. This may be associated with the incidence of low birth weight in the country, thus making the country the second largest contributor to under-five mortality in the whole world (UNICEF, 2008).
      Hence, the importance of this study cannot be overemphasized; this research paper seeks to investigate some factors which may affect the birth weight from the statistical perspective.
      This research is however limited to data obtained from the University of Abuja teaching Hospital, Gwagwalada, Abuja.

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    • ABSRACT - [ Total Page(s): 1 ]This study examined the birth pattern in the Federal Capital Territory (FCT) using the University of Abuja Teaching Hospital (UATH) as a case study. Data was collected on two hundred (200) neonates from the hospital. The research studied the effect of some factors on  birth weight of neonates, the factors includes the age of the mother, parity, mother’s height, gestation period and mother’s weight at gestation. A regression model was also estimated which was used to forecast. The ... Continue reading---