Evidence map›Paper›PMID 35351030›Full record

ArticleBMC pregnancy and childbirth2022

Self-reported mental health status of pregnant women in Sweden during the COVID-19 pandemic: a cross-sectional survey.

Chung Ho-Fung, Ewa Andersson, Huang Hsuan-Ying, Ganesh Acharya, Simone Schwank

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. The impact of the COVID- 19 pandemic on women's mental health: empirical evidence from Vietnam.Psicologia, reflexao e critica : revista semestral do Departamento de Psicologia da UFRGS · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 4 countries.

Chung Ho-FungDepartment of Psychology, The University of Hong Kong, Hong Kong, China.
Ewa AnderssonDepartment of Women's and Children's Health, Division of Reproductive Health, Karolinska Institutet, Stockholm, Sweden.
Huang Hsuan-YingDepartment of Anthropology, The Chinese University of Hong Kong, Hong Kong, China.
Ganesh AcharyaDivision of Obstetrics and Gynecology, Department of Clinical Science Intervention and Technology (CLINTEC), Karolinska Institutet and Center for Fetal Medicine, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-1997-3107
Simone SchwankWomen's Health and Perinatology Research Group, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway. simone.schwank@ki.se.
Chinese University of Hong Kong · HKKarolinska Institutet · SEKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has contributed to unprecedented worries and challenges for pregnant women due to social restrictions and changes in maternity care provision. We aimed to investigate the mental health impact of COVID-19 pandemic on pregnant women in Sweden and explore factors associated with poor perinatal mental health in this specific context.

methodThis was a nation-wide cross-sectional survey of pregnant women living in Sweden. Validated questionnaires were distributed through non-profit organizations´ websites and social media channels from May 2020 to February 2021. Perinatal depression, anxiety, and acute stress reaction were assessed using the Edinburgh Postnatal Depression Scale (EPDS), Generalized Anxiety Disorder-7 (GAD-7) and Impact Event Scale (Revised) (IES-R), respectively. Sociodemographic characteristics and self-perceived mental well-being were also obtained. Factors associated with mental health outcomes were analyzed using multivariate logistic regression model.

resultsAmong a total of 470 participants, 43.2% (n = 203) reported depression (EPDS ≥13), 25.7% (n = 121) moderate to severe anxiety (GAD-7 score ≥ 10), and 23.7% (n = 110) moderate to severe acute stress reaction (IES-R ≥ 33). 27.4% participants (n = 129) expressed concerns regarding their mental well-being during the pandemic. Pregnant mothers who had sick family members reported poorer mental health outcomes than those who did not (median [Interquartile range (IQR)] EPDS scores: 14.0 [8.75-18.0] vs 11.0 [6.25-15.0], p < .001; median (IQR) GAD7 scores: 7.0 [4.0-12.25] vs 6.0 [3.0-9.0], p = .003); median (IQR) IES-R scores: 20.0 [9.0-38.0] vs 15.0 [7.0-30.0], p = .048). Logistic regression analyses revealed that risk factors for poor mental health outcomes were having a sick family member with any illness, unemployment, and experiencing a substantially stressful life event. Having a higher educational level and a younger age during the pandemic were protective.

conclusionDepression and anxiety were highly prevalent among pregnant women in Sweden during the COVID-19 pandemic, indicating a need for professional mental health support for this vulnerable group of population. Unemployment was an associated risk factor whereas younger age and higher educational level were protective suggesting an important role of socio-economic factors in modulating the impact of COVID-19 pandemic on perinatal mental health.

Indexed as

COVID-19Maternal Health ServicesCross-Sectional StudiesDepressionFemaleHealth StatusHumansPandemicsPregnancyPregnant PeopleSelf ReportSwedenAnxietyCOVID-19DepressionMental healthPerinatal carePregnancyStress

Identifiers

PMID35351030
PMCPMC8960205
OpenAlexW4225674659

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.