Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample)
Background: Dramatic changes in the demographic behaviors of Iranian women have led to declining fertility after the mid-1980s. Childlessness is an important and growing issue and has increasingly become the focus of the problem by Iranian population policymakers. Methods: The present study was cond...
Main Author: | |
---|---|
Format: | Article |
Language: | English |
Published: |
Shiraz University of Medical Sciences
2022-01-01
|
Series: | Journal of Health Sciences and Surveillance System |
Subjects: | |
Online Access: | https://jhsss.sums.ac.ir/article_48114_e81ce62d88d99a08c75e472d7d5ee5c4.pdf |
_version_ | 1828137018769539072 |
---|---|
author | Serajeddin Mahmoudiani |
author_facet | Serajeddin Mahmoudiani |
author_sort | Serajeddin Mahmoudiani |
collection | DOAJ |
description | Background: Dramatic changes in the demographic behaviors of Iranian women have led to declining fertility after the mid-1980s. Childlessness is an important and growing issue and has increasingly become the focus of the problem by Iranian population policymakers.
Methods: The present study was conducted using the quantitative secondary data analysis method. Using the census microdata of population and housing in 2016, the researchers attempted to investigate the level and predictors of childlessness among married women aged 40–49. The data of 85799 married women aged 40–49 was analyzed.
Results: About 4% of the sample were childless. Logistic regression analysis indicated that the probability of childlessness for married women with university degrees, immigrant women, and employed women is higher than their counterparts. Furthermore, the findings suggested that women who live in apartments and those who live in private houses are less likely childless than their counterparts. Bigger houses lower the probability of being childless.
Conclusion: Government planning and policymaking to reducethe proportion of childlessness should improve household circumstances, especially their housing. |
first_indexed | 2024-04-11T18:12:18Z |
format | Article |
id | doaj.art-b257d952e4f94662adee25d7408490f5 |
institution | Directory Open Access Journal |
issn | 2345-2218 2345-3893 |
language | English |
last_indexed | 2024-04-11T18:12:18Z |
publishDate | 2022-01-01 |
publisher | Shiraz University of Medical Sciences |
record_format | Article |
series | Journal of Health Sciences and Surveillance System |
spelling | doaj.art-b257d952e4f94662adee25d7408490f52022-12-22T04:10:04ZengShiraz University of Medical SciencesJournal of Health Sciences and Surveillance System2345-22182345-38932022-01-01101566110.30476/jhsss.2021.90182.118148114Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample)Serajeddin Mahmoudiani0Assistant Professor of Demography, Department of Sociology and Social Planning, Shiraz University, Shiraz, IranBackground: Dramatic changes in the demographic behaviors of Iranian women have led to declining fertility after the mid-1980s. Childlessness is an important and growing issue and has increasingly become the focus of the problem by Iranian population policymakers. Methods: The present study was conducted using the quantitative secondary data analysis method. Using the census microdata of population and housing in 2016, the researchers attempted to investigate the level and predictors of childlessness among married women aged 40–49. The data of 85799 married women aged 40–49 was analyzed. Results: About 4% of the sample were childless. Logistic regression analysis indicated that the probability of childlessness for married women with university degrees, immigrant women, and employed women is higher than their counterparts. Furthermore, the findings suggested that women who live in apartments and those who live in private houses are less likely childless than their counterparts. Bigger houses lower the probability of being childless. Conclusion: Government planning and policymaking to reducethe proportion of childlessness should improve household circumstances, especially their housing.https://jhsss.sums.ac.ir/article_48114_e81ce62d88d99a08c75e472d7d5ee5c4.pdfcensuseschildlessnessiranreproductive behaviorwomen |
spellingShingle | Serajeddin Mahmoudiani Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample) Journal of Health Sciences and Surveillance System censuses childlessness iran reproductive behavior women |
title | Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample) |
title_full | Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample) |
title_fullStr | Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample) |
title_full_unstemmed | Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample) |
title_short | Predictors of Permanent Childlessness in Iranian Women (Using the 2016 National Census Microdata Sample) |
title_sort | predictors of permanent childlessness in iranian women using the 2016 national census microdata sample |
topic | censuses childlessness iran reproductive behavior women |
url | https://jhsss.sums.ac.ir/article_48114_e81ce62d88d99a08c75e472d7d5ee5c4.pdf |
work_keys_str_mv | AT serajeddinmahmoudiani predictorsofpermanentchildlessnessiniranianwomenusingthe2016nationalcensusmicrodatasample |