Login Contact Us
E-ISSN : 2148-9696
Crescent Journal of
Medical and Biological Sciences
Oct 2019, Vol 6, Issue 4
Advanced Search
Title
Authors
Keyword
Poll
How do you find the scientific quality of the published articles on our web site?
Original Article
Modelling Childbearing Desire: Comparison of Logistic Regression and Classifcation Tree Approaches
Arezoo Bagheri1, Mahsa Saadati1
1Statistical Methods and Population Modeling Department, National Population Studies and Comprehensive Management Institute, Tehran, Iran

CJMB 2019; 6: 487–493

Viewed : 655 times
Downloaded : 18 times.

Keywords : Fertility Preferences, Child, Women, Decision Trees, Logistic Regression
Full Text(PDF) | Related Articles
Abstract

Objectives: According to health surveys, population growth and total fertility rate (TFR) are decreasing in Iran. The economic and social factors in addition to the changing values and attitudes in the Iranian society have had a major impact on fertility decisions and the actions of families, especially women towards childbearing. This is an important issue for policymakers and many researchers in demography and public health thus the investigation of factors that affect low TFR is considered as a necessity.

Materials and Methods: The classifcation and regression trees (CART) algorithm, as one of the most applicable classifcation trees, along with logistic regression was applied to model the tendency of 4898 women for childbearing in provinces with a TFR lower than the replacement level in Iran. The secondary data were then analysed by SPSS version 24.0.

Results: Based on these two approaches, it was concluded that despite the CART algorithm, logistic regression suffers from some shortcomings including the diffcult interpretation of three levels of interactions while not containing a specifc method for handling the outliers. In addition, CART results demonstrated that women’s children ever born (CEB), age, and opinion had signifcant impacts on their desire to have a child. The groups encompassing “10-39-year-old women with CEB≤2” and “40-49-year-old women with positive attitudes towards childbearing” desired to have more children while “women with CEB ≥3” showed no tendency for childbearing.

Conclusions: In general, the results revealed that adopting policies for changing women’s views on childbearing and creating the necessary resources for preventing the delays in marriage are regarded as important actions toward altering fertility rates. Another important conclusion is applying the CART algorithm as a convenient method for classifying demographical data.

 

Cite By, Google Scholar

Google Scholar

Articles by Bagheri A
Articles by Saadati M

PubMed

Articles by Arezoo Bagheri
Articles by Mahsa Saadati

Submit Paper
Online Submission System
CJMB ENDNOTE ® Style Tutorials Publication Charge Women's Reproductive Health Research Center About Journal
Publication Information
Published Article Statistics