Evidence map›Paper›PMID 39974449›Full record

ArticleMaedica2024

Stress Coping Strategies of Pregnant Women during COVID-19 Pandemic: a Literature Review.

Ruxandra-Gabriela Cigaran, Gheorghe Peltecu, Laura-Mihaela Mustata, Radu Botezatu

Erratum issuedAbstract readEditorial
In one paragraph

Article in Maedica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ruxandra-Gabriela CigaranDepartment of Obstetrics and Gynecology, Filantropia Clinical Hospital, 011171 Bucharest, Romania.
Gheorghe PeltecuDepartment of Obstetrics and Gynecology, "Carol Davila" University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Laura-Mihaela MustataDepartment of Obstetrics and Gynecology, Filantropia Clinical Hospital, 011171 Bucharest, Romania.
Radu BotezatuDepartment of Obstetrics and Gynecology, Filantropia Clinical Hospital, 011171 Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is widely recognized that the COVID-19 pandemic has adversely affected the psychological well-being of pregnant and postpartum women. Consequently, it is of the utmost importance to identify effective strategies that can mitigate the negative emotional experiences of pregnant women during any pandemic period.

aimThis review seeks to identify the most effective approaches to managing stress among pregnant women during the COVID-19 pandemic and emphasizes the significance of providing support to pregnant women throughout this period.

methodsA comprehensive literature review was conducted, and studies that met the inclusion criteria were analysed. The primary criterion was that the studies examined strategies employed by pregnant women to cope with stress during the COVID-19 pandemic.

resultsA total of 16 studies were included in the analysis. Adaptive coping strategies were found to be more effective in ameliorating the impact of the pandemic on mental health compared to dysfunctional coping strategies. While pregnant women generally exhibited maladaptive coping behaviours, psychological support and promoting beneficial coping strategies were the most frequently described methods for improving their mental health during the pandemic and preventing adverse outcomes of pregnancy. Additionally, avoiding misinformation and seeking social and family support were considered essential components of effective support.

conclusionIt is crucial to prioritize psychological, emotional and mental health support for pregnant women during the pandemic.

Identifiers

PMID39974449
PMCPMC11834830

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.