A Statistical Application of Regression Analysis to Investigate and Determine the Factors that Influence the Uptake of Family Planning in Meru County, Kenya
Loading...
Date
2022
Authors
Mpuria, Thomas Bundi
Kahiri, James
Journal Title
Journal ISSN
Volume Title
Publisher
SSRN Blog
Abstract
Family planning is one of the mitigation factors adopted by the Kenyan Government in achieving
its strategic development goals through reducing maternal and child mortality, preventing
unwanted pregnancies, preventing STDs, promoting education, and women's economic
empowerment. Despite the many advantages of family planning, its use and adoption in Kenya
are still low. Unwanted pregnancies, premature deliveries, illegal abortions, and maternal
mortality have all resulted from a low uptake of family planning. The low application of family
planning methods has been associated with low awareness of the existence of family planning
services, lack of information about various forms of family planning services, and negative
attitude toward some family planning methods due to lack of counseling/sensitization to mothers
on their side effects, complex in assessing the family planning services by some rural women,
religious beliefs and fear of not being able to bear children again. South Imenti is a Sub County
in Meru County associated with low uptake of family planning services despite providing free
family planning services in all government clinics. The goal of this study was to employ the
regression method to examine factors that impact the usage of family planning methods in the
South Imenti sub-county. The target population was 3390 women between the ages of 15 and 49.
A total of 385 mothers were chosen using simple random sampling from the target population for
this survey. The study used descriptive and binary logistic regression methods of analysis. The
explanatory variables included education level, age, marital status, Number of children born,
Religion, Occupation, household income, and frequency of listening to media. In conclusion, the
application of the binary logistic regression model on the data collected showed that age, marital
status, level of education, number of children mothers have, and frequency of mothers following
media were potential explanatory variables that significantly affected the use of family planning
methods. The education level of women of childbearing age 15-49 years had the highest
significant effect on the usage of family planning.
Description
Article
Keywords
Family planning, family planning services, family planning methods, pregnancy, beliefs, child birth, child birth
Citation
Mpuria, T., & Kahiri, D. (2022). A Statistical Application of Regression Analysis to Investigate and Determinethe Factors that Influence the Uptake of Family Planning in Meru County, Kenya. Mpuria, Thomas, A Statistical Application of Regression Analysis to Investigate and Determinethe Factors that Influence the Uptake of Family Planning in Meru County, Kenya (November 28, 2022).