Cargando…
Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries
BACKGROUND: Early childbearing remains a public health concern in sub-Saharan Africa (SSA) because it has substantial implications for women’s and children’s health and population control. However, little is known about recent changes in early childbearing in the region following the implementation...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426215/ https://www.ncbi.nlm.nih.gov/pubmed/37580760 http://dx.doi.org/10.1186/s12905-023-02581-z |
_version_ | 1785090012132409344 |
---|---|
author | Shasha, Liness Phiri, Million Namayawa, Sibongile Sikaluzwe, Milika Nakazwe, Chola Lemba, Musonda Muhanga, Mikidadi |
author_facet | Shasha, Liness Phiri, Million Namayawa, Sibongile Sikaluzwe, Milika Nakazwe, Chola Lemba, Musonda Muhanga, Mikidadi |
author_sort | Shasha, Liness |
collection | PubMed |
description | BACKGROUND: Early childbearing remains a public health concern in sub-Saharan Africa (SSA) because it has substantial implications for women’s and children’s health and population control. However, little is known about recent changes in early childbearing in the region following the implementation of the Family Planning 2020 initiative (FP2020) national-level interventions. Thus, this study examined factors associated with early childbearing among women in SSA. METHODS: The study used data from the most recent Demographic and Health Surveys conducted in 31 countries in sub-Saharan Africa between 2010 and 2021. The analysis included a pooled sample of 54,671 parous young women aged 20–24 years. A multivariable binary logistic regression model was used to examine the association between early childbearing and individual and household-level factors. All analyses were weighted to account for complex survey design. RESULTS: The study shows that the mean prevalence of early childbearing was high in SSA at 39% (95% CI: 35, 43). Chad had the highest prevalence of early childbearing, 62% (95% CI: 60, 64) while Rwanda had the lowest prevalence of 13% (95% CI: 11, 15). Completing secondary school (aOR = 0.57; 95% CI: 0.52, 0.62) or attaining tertiary level education (aOR = 0.32; 95% CI: 0.22, 0.45), first sexual debut in the age range 15–24 years (aOR = 0.15; 95% CI: 0.14, 0.16) and desire for a small family size (aOR = 0.63; 95% CI: 0.58, 0.69) were associated with reduced odds of early childbearing among young women in SSA. CONCLUSION: The study has established that the prevalence of early childbearing is high in SSA. Level of education, age at first sexual debut, household size, and desired family size are associated with early childbearing in SSA. Governments of SSA countries should enhance sexual and reproductive health interventions to change reproductive behaviour, particularly in adolescents and young women. |
format | Online Article Text |
id | pubmed-10426215 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104262152023-08-16 Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries Shasha, Liness Phiri, Million Namayawa, Sibongile Sikaluzwe, Milika Nakazwe, Chola Lemba, Musonda Muhanga, Mikidadi BMC Womens Health Research BACKGROUND: Early childbearing remains a public health concern in sub-Saharan Africa (SSA) because it has substantial implications for women’s and children’s health and population control. However, little is known about recent changes in early childbearing in the region following the implementation of the Family Planning 2020 initiative (FP2020) national-level interventions. Thus, this study examined factors associated with early childbearing among women in SSA. METHODS: The study used data from the most recent Demographic and Health Surveys conducted in 31 countries in sub-Saharan Africa between 2010 and 2021. The analysis included a pooled sample of 54,671 parous young women aged 20–24 years. A multivariable binary logistic regression model was used to examine the association between early childbearing and individual and household-level factors. All analyses were weighted to account for complex survey design. RESULTS: The study shows that the mean prevalence of early childbearing was high in SSA at 39% (95% CI: 35, 43). Chad had the highest prevalence of early childbearing, 62% (95% CI: 60, 64) while Rwanda had the lowest prevalence of 13% (95% CI: 11, 15). Completing secondary school (aOR = 0.57; 95% CI: 0.52, 0.62) or attaining tertiary level education (aOR = 0.32; 95% CI: 0.22, 0.45), first sexual debut in the age range 15–24 years (aOR = 0.15; 95% CI: 0.14, 0.16) and desire for a small family size (aOR = 0.63; 95% CI: 0.58, 0.69) were associated with reduced odds of early childbearing among young women in SSA. CONCLUSION: The study has established that the prevalence of early childbearing is high in SSA. Level of education, age at first sexual debut, household size, and desired family size are associated with early childbearing in SSA. Governments of SSA countries should enhance sexual and reproductive health interventions to change reproductive behaviour, particularly in adolescents and young women. BioMed Central 2023-08-14 /pmc/articles/PMC10426215/ /pubmed/37580760 http://dx.doi.org/10.1186/s12905-023-02581-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Shasha, Liness Phiri, Million Namayawa, Sibongile Sikaluzwe, Milika Nakazwe, Chola Lemba, Musonda Muhanga, Mikidadi Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries |
title | Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries |
title_full | Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries |
title_fullStr | Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries |
title_full_unstemmed | Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries |
title_short | Prevalence and factors associated with early childbearing in sub-saharan Africa: evidence from demographic and health surveys of 31 countries |
title_sort | prevalence and factors associated with early childbearing in sub-saharan africa: evidence from demographic and health surveys of 31 countries |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426215/ https://www.ncbi.nlm.nih.gov/pubmed/37580760 http://dx.doi.org/10.1186/s12905-023-02581-z |
work_keys_str_mv | AT shashaliness prevalenceandfactorsassociatedwithearlychildbearinginsubsaharanafricaevidencefromdemographicandhealthsurveysof31countries AT phirimillion prevalenceandfactorsassociatedwithearlychildbearinginsubsaharanafricaevidencefromdemographicandhealthsurveysof31countries AT namayawasibongile prevalenceandfactorsassociatedwithearlychildbearinginsubsaharanafricaevidencefromdemographicandhealthsurveysof31countries AT sikaluzwemilika prevalenceandfactorsassociatedwithearlychildbearinginsubsaharanafricaevidencefromdemographicandhealthsurveysof31countries AT nakazwechola prevalenceandfactorsassociatedwithearlychildbearinginsubsaharanafricaevidencefromdemographicandhealthsurveysof31countries AT lembamusonda prevalenceandfactorsassociatedwithearlychildbearinginsubsaharanafricaevidencefromdemographicandhealthsurveysof31countries AT muhangamikidadi prevalenceandfactorsassociatedwithearlychildbearinginsubsaharanafricaevidencefromdemographicandhealthsurveysof31countries |