– An Assessment of Fertility Rate and Differentials in Women within the Reproductive Ageing Kaduna State –
ABSTRACT
This dissertation looked at the rate, fertility pattern, and some of the diseases that cause fertility problems that to pregnancy wastage and fertility differentials in within the reproductive age using Logistic and Multiple regression.
The result shows that the average Total Fertility Rate (TFR) of I, sample II and sample III are approximately five (5) children per woman, seven(7) children, and six (6) children respectively.
The histogram and the line graph of the three samples indicate a gradual decline in TFR as the year’s increase. The result of logistic regression shows that Sexually Transmitted Disease (STD), Ectopic Pregnancy (ECT), and Ovarian Cyst (OVC) have a negative value which indicates a decrease in Total Life Birth.
Multiple regression results indicate a positive value in , FB, and ECT while OVC is negative in sample I. In sample II, only STD is negative while FB, OVC, and ECT are positive.
The result of Sample III shows a positive value in STD, FB, OVC, and which indicates an increase in Total Life Birth (TLB). Based on the result of the two methods used,
Binary logistic regression proved to be the best model for analyzing the data since the result is showing negative values in the variables STD, OVC, and ECT which indicates a decrease in.
INTRODUCTION
Background of Study
Fertility is one of the three principal components of population dynamics that determine the size and structure of the population of a country (Ramesh, 2010).
Differentials in behaviour and fertility levels in different areas and among population strata or characteristics have been among the most pervasive findings in (Ramesh, 2010).
Fertility refers to the actual production of , rather than the physical capability to produce which is termed fecundity. While fertility can be measured, fecundity cannot be.
measure the fertility rate in a variety of ways, which can be broadly broken into “period” measures and “cohort” measures. “Period” measures refer to a cross-section of the population in one year.
“Cohort” data, on the other hand, follows the same people over a period of decades. Both period and cohort measures are widely used (Wikipedia, 2013).
Infertility is defined by the American Society for Reproductive Medicine (ASRM) as a disease of the reproductive system that impairs the body’s ability to perform the basic function of https://studentsandscholarship.com/current-projects/an-assessment-of-fertility-rate-and-differentials-in-women/reproduction.
Many different factors and problems can cause https://studentsandscholarship.com/current-projects/an-assessment-of-fertility-rate-and-differentials-in-women/infertility, including problems in the female reproductive system, the male reproductive system, or a combination of the two (UNTH, 2010).
REFERENCES
Agresti, A. (1996). Logistic Regression. userwww.sfsu.edu/…/logistic.htm
Alene, G. and Worku, A. (2008). Investigating the most important factors influencing fertility behaviour in Northwest Ethopia. A journal of BMC Public Health, volume 8. www.biomedcentral.com/1471-2458/8/397
Alex, C., Blessing, U. and Jacques, O. (2009). Stall in fertility decline in Eastern African countries: regional analysis of patterns, determinants and implications.African Population and Health Research Center, Shelter
American Fertility Association (2010). STDs and https://studentsandscholarship.com/current-projects/an-assessment-of-fertility-rate-and-differentials-in-women/infertility part 1. attahttps://studentsandscholarship.com/current-projects/an-assessment-of-fertility-rate-and-differentials-in-women/infertility.com/article/std-inf…
Amit, C. (Jun 18, 2009). Multiple Regression Analysis. Retrieved May 21, 2013 from Explorable.com: http://explorable.com/multiple-regression-analysis Printer- friendly version
Analyse-it for Microsoft Excel (version 2.20) Ltd (2009). http://www.analyse-it.com/; The Tannery, 91 Kirkstall Road Leeds, LS3 1HS, United Kingdom