Cargando…

Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model

BACKGROUND: World population is growing at about 80 million people each year. Ethiopia is the 12th most populous country in the world. Existing literatures showed that the role of proximate determinants in inhibiting the total fertility has not yet been determined from the DHS data in the country. T...

Descripción completa

Detalles Bibliográficos
Autores principales: Laelago, Tariku, Habtu, Yitagesu, Yohannes, Samuel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360651/
https://www.ncbi.nlm.nih.gov/pubmed/30717804
http://dx.doi.org/10.1186/s12978-019-0677-x
_version_ 1783392539697479680
author Laelago, Tariku
Habtu, Yitagesu
Yohannes, Samuel
author_facet Laelago, Tariku
Habtu, Yitagesu
Yohannes, Samuel
author_sort Laelago, Tariku
collection PubMed
description BACKGROUND: World population is growing at about 80 million people each year. Ethiopia is the 12th most populous country in the world. Existing literatures showed that the role of proximate determinants in inhibiting the total fertility has not yet been determined from the DHS data in the country. This study may provide evidence based information regarding the observed changes in total fertility. The objective of this study was assessing proximate determinants of fertility and the role of selected socio-economic variables in influencing fertility in Ethiopia. METHODS: The EDHS data of 2011 and 2016 were used in our study. A total of 16,515 eligible women included in 2011 and 15,683 in 2016 surveys made up the sample for the study. The roles of each of the four proximate determinants in declining fertility have been determined. The background variables selected for the analysis include: region of residence, educational status, wealth index and place of residence. The Bongaart model is used to explain the observed socio-economic differentials in fertility during the two survey years. RESULTS: In 2011, index of marriage inhibited fertility by 37.8%, however in 2016 it inhibited fertility by 34.4%. In 2011, contraceptive use reduced fertility by 28.5% while in 2016 it reduced fertility by 30.7%. The index of postpartum infecundity decreased fertility by 34.7% in 2011 and by 34.5% in 2016. Foetal wastage inhibited fertility by 9.2% in both survey years. The total fertility rate in 2016 was 4.14 whereas the projected total fertility in 2020 will be 3.2 children per woman. CONCLUSION: Among the four proximate determinants of fertility, the contribution of index of marriage was the highest in inhibiting fertility in 2011. On the other hand, the contribution of postpartum infecundability was the highest in inhibiting fertility in 2016. The contribution of the index of contraceptive in inhibiting fertility increased from 28.5% in 2011 to 30.7% in 2016. The index of foetal wastage contributed the least in both 2011 and 2016 survey years. Therefore, strategies have to be designed to promote the contraceptive use and breast feeding practices among the reproductive women.
format Online
Article
Text
id pubmed-6360651
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63606512019-02-08 Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model Laelago, Tariku Habtu, Yitagesu Yohannes, Samuel Reprod Health Research BACKGROUND: World population is growing at about 80 million people each year. Ethiopia is the 12th most populous country in the world. Existing literatures showed that the role of proximate determinants in inhibiting the total fertility has not yet been determined from the DHS data in the country. This study may provide evidence based information regarding the observed changes in total fertility. The objective of this study was assessing proximate determinants of fertility and the role of selected socio-economic variables in influencing fertility in Ethiopia. METHODS: The EDHS data of 2011 and 2016 were used in our study. A total of 16,515 eligible women included in 2011 and 15,683 in 2016 surveys made up the sample for the study. The roles of each of the four proximate determinants in declining fertility have been determined. The background variables selected for the analysis include: region of residence, educational status, wealth index and place of residence. The Bongaart model is used to explain the observed socio-economic differentials in fertility during the two survey years. RESULTS: In 2011, index of marriage inhibited fertility by 37.8%, however in 2016 it inhibited fertility by 34.4%. In 2011, contraceptive use reduced fertility by 28.5% while in 2016 it reduced fertility by 30.7%. The index of postpartum infecundity decreased fertility by 34.7% in 2011 and by 34.5% in 2016. Foetal wastage inhibited fertility by 9.2% in both survey years. The total fertility rate in 2016 was 4.14 whereas the projected total fertility in 2020 will be 3.2 children per woman. CONCLUSION: Among the four proximate determinants of fertility, the contribution of index of marriage was the highest in inhibiting fertility in 2011. On the other hand, the contribution of postpartum infecundability was the highest in inhibiting fertility in 2016. The contribution of the index of contraceptive in inhibiting fertility increased from 28.5% in 2011 to 30.7% in 2016. The index of foetal wastage contributed the least in both 2011 and 2016 survey years. Therefore, strategies have to be designed to promote the contraceptive use and breast feeding practices among the reproductive women. BioMed Central 2019-02-04 /pmc/articles/PMC6360651/ /pubmed/30717804 http://dx.doi.org/10.1186/s12978-019-0677-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Laelago, Tariku
Habtu, Yitagesu
Yohannes, Samuel
Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model
title Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model
title_full Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model
title_fullStr Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model
title_full_unstemmed Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model
title_short Proximate determinants of fertility in Ethiopia; an application of revised Bongaarts model
title_sort proximate determinants of fertility in ethiopia; an application of revised bongaarts model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6360651/
https://www.ncbi.nlm.nih.gov/pubmed/30717804
http://dx.doi.org/10.1186/s12978-019-0677-x
work_keys_str_mv AT laelagotariku proximatedeterminantsoffertilityinethiopiaanapplicationofrevisedbongaartsmodel
AT habtuyitagesu proximatedeterminantsoffertilityinethiopiaanapplicationofrevisedbongaartsmodel
AT yohannessamuel proximatedeterminantsoffertilityinethiopiaanapplicationofrevisedbongaartsmodel