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Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis
BACKGROUND: Unwanted pregnancy is a global issue with adverse outcomes for the mother, child, family, and society. Previous studies in Iran have reported different prevalence rates for unwanted pregnancy. This meta-analysis was aimed at estimating the overall prevalence of unwanted pregnancy among I...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907188/ https://www.ncbi.nlm.nih.gov/pubmed/31829158 http://dx.doi.org/10.1186/s12884-019-2640-9 |
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author | Sayehmiri, Kourosh Ebtekar, Fariba Zarei, Mozhdeh Gheshlagh, Reza Ghanei |
author_facet | Sayehmiri, Kourosh Ebtekar, Fariba Zarei, Mozhdeh Gheshlagh, Reza Ghanei |
author_sort | Sayehmiri, Kourosh |
collection | PubMed |
description | BACKGROUND: Unwanted pregnancy is a global issue with adverse outcomes for the mother, child, family, and society. Previous studies in Iran have reported different prevalence rates for unwanted pregnancy. This meta-analysis was aimed at estimating the overall prevalence of unwanted pregnancy among Iranian women. METHODS: A total of 20 articles in English or Persian, published between 2012 and December 2018, were collected. The search was conducted in national and international databases, including Scientific Information Database (SID), MagIran, PubMed, Scopus, and Web of Science, using the following keywords: ‘Unplanned pregnancy’, ‘Unintended pregnancy’, ‘Unwanted pregnancy’, and ‘Mistimed pregnancy’. The data were analyzed using the meta-analysis method and the random effects model. Heterogeneity among studies was assessed using the I(2) statistic. All analyses were performed using Stata, version 12. RESULTS: Analysis of 20 studies with a total sample size of 16,298 showed that the prevalence of unwanted pregnancy among Iranian women was 26% (95% Confidence Interval [CI]: 23–28). This prevalence was higher in the regions 5 and 2 of Iran (27%) than the other regions, and had no significant decrease between 2012 and 2018 (p = 0. 937). CONCLUSION: More than one-fourth of pregnancies among Iranian women are unwanted. Providing training programs for couples who do not plan to have children along with the support policies aimed at stimulating population growth, can be an important step in overcoming the issue of unwanted pregnancy and reducing the illegal abortions related to it. |
format | Online Article Text |
id | pubmed-6907188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-69071882019-12-20 Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis Sayehmiri, Kourosh Ebtekar, Fariba Zarei, Mozhdeh Gheshlagh, Reza Ghanei BMC Pregnancy Childbirth Research Article BACKGROUND: Unwanted pregnancy is a global issue with adverse outcomes for the mother, child, family, and society. Previous studies in Iran have reported different prevalence rates for unwanted pregnancy. This meta-analysis was aimed at estimating the overall prevalence of unwanted pregnancy among Iranian women. METHODS: A total of 20 articles in English or Persian, published between 2012 and December 2018, were collected. The search was conducted in national and international databases, including Scientific Information Database (SID), MagIran, PubMed, Scopus, and Web of Science, using the following keywords: ‘Unplanned pregnancy’, ‘Unintended pregnancy’, ‘Unwanted pregnancy’, and ‘Mistimed pregnancy’. The data were analyzed using the meta-analysis method and the random effects model. Heterogeneity among studies was assessed using the I(2) statistic. All analyses were performed using Stata, version 12. RESULTS: Analysis of 20 studies with a total sample size of 16,298 showed that the prevalence of unwanted pregnancy among Iranian women was 26% (95% Confidence Interval [CI]: 23–28). This prevalence was higher in the regions 5 and 2 of Iran (27%) than the other regions, and had no significant decrease between 2012 and 2018 (p = 0. 937). CONCLUSION: More than one-fourth of pregnancies among Iranian women are unwanted. Providing training programs for couples who do not plan to have children along with the support policies aimed at stimulating population growth, can be an important step in overcoming the issue of unwanted pregnancy and reducing the illegal abortions related to it. BioMed Central 2019-12-11 /pmc/articles/PMC6907188/ /pubmed/31829158 http://dx.doi.org/10.1186/s12884-019-2640-9 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 Article Sayehmiri, Kourosh Ebtekar, Fariba Zarei, Mozhdeh Gheshlagh, Reza Ghanei Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis |
title | Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis |
title_full | Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis |
title_fullStr | Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis |
title_full_unstemmed | Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis |
title_short | Prevalence of unwanted pregnancy among Iranian women: an updated meta-analysis |
title_sort | prevalence of unwanted pregnancy among iranian women: an updated meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6907188/ https://www.ncbi.nlm.nih.gov/pubmed/31829158 http://dx.doi.org/10.1186/s12884-019-2640-9 |
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