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Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis

BACKGROUND: Fertility desire is one of the predictors of contraceptive behavior and fertility-related outcomes. However, information is scarce on individual and community-level factors of women’s fertility decisions in sub-Saharan Africa. OBJECTIVE: To assess fertility decisions and their associated...

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Autores principales: Teshale, Achamyeleh Birhanu, Worku, Misganaw Gebrie, Tesema, Getayeneh Antehunegn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358800/
https://www.ncbi.nlm.nih.gov/pubmed/35941648
http://dx.doi.org/10.1186/s12905-022-01920-w
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author Teshale, Achamyeleh Birhanu
Worku, Misganaw Gebrie
Tesema, Getayeneh Antehunegn
author_facet Teshale, Achamyeleh Birhanu
Worku, Misganaw Gebrie
Tesema, Getayeneh Antehunegn
author_sort Teshale, Achamyeleh Birhanu
collection PubMed
description BACKGROUND: Fertility desire is one of the predictors of contraceptive behavior and fertility-related outcomes. However, information is scarce on individual and community-level factors of women’s fertility decisions in sub-Saharan Africa. OBJECTIVE: To assess fertility decisions and their associated factors in Sub-Saharan Africa. METHODS: The 35 Sub-Saharan African country’s most recent demographic and health surveys (DHS) data conducted from 2008 to 2020 was used. A total of 284,744 (weighted) married women were used for analysis. The proportion of fertility decisions with their 95%CI was estimated. To assess the factors associated with fertility decisions, both random effect and fixed effect analyses were conducted. In the fixed analysis, particularly in the multivariable analysis, adjusted relative risk ratio (aRRR) with its 95% confidence interval (CI) was reported and variables with a p-value < 0.05 were considered significant predictors of fertility decisions. RESULTS: In this study, 64.35% (95%CI: 64.2%, 64.5%) of the study participants had fertility desire. However, 5.4% (95%CI: 5.3, 5.5) of the study participants had undecided fertility behavior. In the multivariable analysis, desire for more children and undecided fertility desire were relatively lower among older women, women with primary, secondary, and higher education, working women, women who currently use contraceptives, women with a higher number of living children, women with higher parity, women from eastern and southern Africa, and women from wealthy households. While, the ideal number of children, women who had decision-making autonomy, and women from the rural residence were all associated with a relatively higher desire for more children and undecided fertility desire. Furthermore, respondents' education and sex of household head were associated with the desire for more children while media exposure was associated with undecided fertility desire. CONCLUSION: In this study, around two-thirds of women had a desire for more children and only 5.4% of women had undecided fertility desires. Both individual and community-level factors were associated with both desires for more children and undecided fertility desires. As a result, the aforementioned factors should be considered while developing reproductive health programs.
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spelling pubmed-93588002022-08-10 Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis Teshale, Achamyeleh Birhanu Worku, Misganaw Gebrie Tesema, Getayeneh Antehunegn BMC Womens Health Research BACKGROUND: Fertility desire is one of the predictors of contraceptive behavior and fertility-related outcomes. However, information is scarce on individual and community-level factors of women’s fertility decisions in sub-Saharan Africa. OBJECTIVE: To assess fertility decisions and their associated factors in Sub-Saharan Africa. METHODS: The 35 Sub-Saharan African country’s most recent demographic and health surveys (DHS) data conducted from 2008 to 2020 was used. A total of 284,744 (weighted) married women were used for analysis. The proportion of fertility decisions with their 95%CI was estimated. To assess the factors associated with fertility decisions, both random effect and fixed effect analyses were conducted. In the fixed analysis, particularly in the multivariable analysis, adjusted relative risk ratio (aRRR) with its 95% confidence interval (CI) was reported and variables with a p-value < 0.05 were considered significant predictors of fertility decisions. RESULTS: In this study, 64.35% (95%CI: 64.2%, 64.5%) of the study participants had fertility desire. However, 5.4% (95%CI: 5.3, 5.5) of the study participants had undecided fertility behavior. In the multivariable analysis, desire for more children and undecided fertility desire were relatively lower among older women, women with primary, secondary, and higher education, working women, women who currently use contraceptives, women with a higher number of living children, women with higher parity, women from eastern and southern Africa, and women from wealthy households. While, the ideal number of children, women who had decision-making autonomy, and women from the rural residence were all associated with a relatively higher desire for more children and undecided fertility desire. Furthermore, respondents' education and sex of household head were associated with the desire for more children while media exposure was associated with undecided fertility desire. CONCLUSION: In this study, around two-thirds of women had a desire for more children and only 5.4% of women had undecided fertility desires. Both individual and community-level factors were associated with both desires for more children and undecided fertility desires. As a result, the aforementioned factors should be considered while developing reproductive health programs. BioMed Central 2022-08-08 /pmc/articles/PMC9358800/ /pubmed/35941648 http://dx.doi.org/10.1186/s12905-022-01920-w Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Teshale, Achamyeleh Birhanu
Worku, Misganaw Gebrie
Tesema, Getayeneh Antehunegn
Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_full Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_fullStr Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_full_unstemmed Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_short Fertility decision and its associated factors in Sub-Saharan Africa: a multilevel multinomial logistic regression analysis
title_sort fertility decision and its associated factors in sub-saharan africa: a multilevel multinomial logistic regression analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9358800/
https://www.ncbi.nlm.nih.gov/pubmed/35941648
http://dx.doi.org/10.1186/s12905-022-01920-w
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