Evidence map›Paper›PMID 36481663›Full record

ArticleScientific reports2022

Differentiated mental health patterns in pregnancy during COVID-19 first two waves in Sweden: a mixed methods study using digital phenotyping.

Emma Fransson, Maria Karalexi, Mary Kimmel, Emma Bränn, Natasa Kollia, Auke Tas, Vera van Zoest, Eira Nordling, Alkistis Skalkidou, Fotios C Papadopoulos

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

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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

10 authors at 2 institutions in 3 countries.

Emma Fransson *Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Maria Karalexi *Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Mary KimmelDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Emma BrännDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Natasa KolliaDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17676, Athens, Greece.
Auke TasDepartment of Neuroscience, Psychiatry, Uppsala University, 751 85, Uppsala, Sweden.
Vera van ZoestDepartment of Information Technology, Uppsala University, 752 37, Uppsala, Sweden.
Eira NordlingDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
Alkistis SkalkidouDepartment of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden. Alkistis.skalkidou@kbh.uu.se.
Fotios C PapadopoulosDepartment of Neuroscience, Psychiatry, Uppsala University, 751 85, Uppsala, Sweden.
Uppsala University · SEHarokopio University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To utilize modern tools to assess depressive and anxiety symptoms, wellbeing and life conditions in pregnant women during the first two waves of the COVID-19 pandemic in Sweden. Pregnant women (n = 1577) were recruited through the mobile application Mom2B. Symptoms of depression, anxiety and wellbeing were assessed during January 2020-February 2021. Movement data was collected using the phone's sensor. Data on Google search volumes for "Corona" and Covid-related deaths were obtained. Qualitative analysis of free text responses regarding maternity care was performed. Two peaks were seen for depressive symptoms, corresponding to the two waves. Higher prevalence of anxiety was only noted during the first wave. A moderating effect of the two waves in the association of depression, anxiety, and well-being with Covid deaths was noted; positive associations during the first wave and attenuated or became negative during the second wave. Throughout, women reported on cancelled healthcare appointments and worry about partners not being allowed in hospital. The association of mental health outcomes with relevant covariates may vary during the different phases in a pandemic, possibly due to adaptation strategies on a personal and societal/healthcare level. Digital phenotyping can help healthcare providers and governmental bodies to in real time monitor high-risk groups during crises, and to adjust the support offered.

Indexed as

COVID-19Maternal Health ServicesAnxietyFemaleHumansMental HealthPandemicsPregnancy

Identifiers

PMID36481663
PMCPMC9731976
OpenAlexW4311577019

What OpenQuestion holds

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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.