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The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis

BACKGROUND: This systematic review aims to explore the prevalence of the impact of the COVID-19, MERS, and SARS pandemics on the mental health of pregnant women. METHODS: All COVID-19, SARS and MERS studies that evaluated the mental health of pregnant women with/without gynaecological conditions tha...

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Autores principales: Delanerolle, Gayathri, McCauley, Mary, Hirsch, Martin, Zeng, Yutian, Cong, Xu, Cavalini, Heitor, Sajid, Sana, Shetty, Ashish, Rathod, Shanaya, Shi, Jian Qing, Hapangama, Dharani K., Phiri, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883834/
https://www.ncbi.nlm.nih.gov/pubmed/36709255
http://dx.doi.org/10.1186/s12884-022-05243-4
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author Delanerolle, Gayathri
McCauley, Mary
Hirsch, Martin
Zeng, Yutian
Cong, Xu
Cavalini, Heitor
Sajid, Sana
Shetty, Ashish
Rathod, Shanaya
Shi, Jian Qing
Hapangama, Dharani K.
Phiri, Peter
author_facet Delanerolle, Gayathri
McCauley, Mary
Hirsch, Martin
Zeng, Yutian
Cong, Xu
Cavalini, Heitor
Sajid, Sana
Shetty, Ashish
Rathod, Shanaya
Shi, Jian Qing
Hapangama, Dharani K.
Phiri, Peter
author_sort Delanerolle, Gayathri
collection PubMed
description BACKGROUND: This systematic review aims to explore the prevalence of the impact of the COVID-19, MERS, and SARS pandemics on the mental health of pregnant women. METHODS: All COVID-19, SARS and MERS studies that evaluated the mental health of pregnant women with/without gynaecological conditions that were reported in English between December 2000 – July 2021 were included. The search criteria were developed based upon the research question using PubMed, Science Direct, Ovid PsycINFO and EMBASE databases. A wide search criterion was used to ensure the inclusion of all pregnant women with existing gynaecological conditions. The Newcastle-Ottawa-Scale was used to assess the risk of bias for all included studies. Random effects model with restricted maximum-likelihood estimation method was applied for the meta-analysis and I-square statistic was used to evaluate heterogeneity across studies. The pooled prevalence rates of symptoms of anxiety, depression, PTSD, stress, and sleep disorders with 95% confidence interval (CI) were computed. RESULTS: This systematic review identified 217 studies which included 638,889 pregnant women or women who had just given birth. There were no studies reporting the mental health impact due to MERS and SARS. Results showed that women who were pregnant or had just given birth displayed various symptoms of poor mental health including those relating to depression (24.9%), anxiety (32.8%), stress (29.44%), Post Traumatic Stress Disorder (PTSD) (27.93%), and sleep disorders (24.38%) during the COVID-19 pandemic. DISCUSSION: It is important to note that studies included in this review used a range of outcome measures which does not allow for direct comparisons between findings. Most studies reported self-reported measure of symptoms without clinical diagnoses so conclusions can be made for symptom prevalence rather than of mental illness. The importance of managing mental health during pregnancy and after-delivery improves the quality of life and wellbeing of mothers hence developing an evidence-based approached as part of pandemic preparedness would improve mental health during challenging times. OTHER: The work presented in this manuscript was not funded by any specific grants. A study protocol was developed and published in PROSPERO (CRD42021235356) to explore several key objectives.
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spelling pubmed-98838342023-01-29 The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis Delanerolle, Gayathri McCauley, Mary Hirsch, Martin Zeng, Yutian Cong, Xu Cavalini, Heitor Sajid, Sana Shetty, Ashish Rathod, Shanaya Shi, Jian Qing Hapangama, Dharani K. Phiri, Peter BMC Pregnancy Childbirth Research BACKGROUND: This systematic review aims to explore the prevalence of the impact of the COVID-19, MERS, and SARS pandemics on the mental health of pregnant women. METHODS: All COVID-19, SARS and MERS studies that evaluated the mental health of pregnant women with/without gynaecological conditions that were reported in English between December 2000 – July 2021 were included. The search criteria were developed based upon the research question using PubMed, Science Direct, Ovid PsycINFO and EMBASE databases. A wide search criterion was used to ensure the inclusion of all pregnant women with existing gynaecological conditions. The Newcastle-Ottawa-Scale was used to assess the risk of bias for all included studies. Random effects model with restricted maximum-likelihood estimation method was applied for the meta-analysis and I-square statistic was used to evaluate heterogeneity across studies. The pooled prevalence rates of symptoms of anxiety, depression, PTSD, stress, and sleep disorders with 95% confidence interval (CI) were computed. RESULTS: This systematic review identified 217 studies which included 638,889 pregnant women or women who had just given birth. There were no studies reporting the mental health impact due to MERS and SARS. Results showed that women who were pregnant or had just given birth displayed various symptoms of poor mental health including those relating to depression (24.9%), anxiety (32.8%), stress (29.44%), Post Traumatic Stress Disorder (PTSD) (27.93%), and sleep disorders (24.38%) during the COVID-19 pandemic. DISCUSSION: It is important to note that studies included in this review used a range of outcome measures which does not allow for direct comparisons between findings. Most studies reported self-reported measure of symptoms without clinical diagnoses so conclusions can be made for symptom prevalence rather than of mental illness. The importance of managing mental health during pregnancy and after-delivery improves the quality of life and wellbeing of mothers hence developing an evidence-based approached as part of pandemic preparedness would improve mental health during challenging times. OTHER: The work presented in this manuscript was not funded by any specific grants. A study protocol was developed and published in PROSPERO (CRD42021235356) to explore several key objectives. BioMed Central 2023-01-28 /pmc/articles/PMC9883834/ /pubmed/36709255 http://dx.doi.org/10.1186/s12884-022-05243-4 Text en © The Author(s) 2023 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
Delanerolle, Gayathri
McCauley, Mary
Hirsch, Martin
Zeng, Yutian
Cong, Xu
Cavalini, Heitor
Sajid, Sana
Shetty, Ashish
Rathod, Shanaya
Shi, Jian Qing
Hapangama, Dharani K.
Phiri, Peter
The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis
title The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis
title_full The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis
title_fullStr The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis
title_full_unstemmed The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis
title_short The prevalence of mental ill-health in women during pregnancy and after childbirth during the Covid-19 pandemic: a systematic review and Meta-analysis
title_sort prevalence of mental ill-health in women during pregnancy and after childbirth during the covid-19 pandemic: a systematic review and meta-analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883834/
https://www.ncbi.nlm.nih.gov/pubmed/36709255
http://dx.doi.org/10.1186/s12884-022-05243-4
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