Evidence map›Paper›PMID 32996217›Full record

ArticleApplied psychology. Health and well-being2020

Who is the Most Stressed During the COVID-19 Pandemic? Data From 26 Countries and Areas.

Marta Kowal, Tao Coll-Martín, Gözde Ikizer, Jesper Rasmussen, Kristina Eichel, Anna Studzińska, Karolina Koszałkowska, Maciej Karwowski, Arooj Najmussaqib, Daniel Pankowski and 2 more

Abstract read
In one paragraph

Article in Applied psychology. Health and well-being, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 154 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
154citing papers in PubMed, 3 pooled it
–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

154 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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94 more citing papers are in PubMed but not listed here.

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

12 authors.

Marta KowalUniversity of Wrocław, Wrocław, Poland.ORCID 0000-0001-9050-1471
Tao Coll-MartínUniversity of Granada, Granada, Spain.
Gözde IkizerTOBB University of Economics and Technology, Ankara, Turkey.
Jesper RasmussenAarhus University, Aarhus, Denmark.ORCID 0000-0002-0248-7065
Kristina EichelBrown University, Providence, RI, USA.
Anna StudzińskaUniversity of Economics and Human Sciences in Warsaw, Warsaw, Poland.
Karolina KoszałkowskaUniversity of Lodz, Lodz, Poland.
Maciej KarwowskiUniversity of Wrocław, Wrocław, Poland.
Arooj NajmussaqibBahria University, Islamabad, Pakistan.
Daniel PankowskiUniversity of Economics and Human Sciences in Warsaw, Warsaw, Poland.ORCID 0000-0001-7667-5803
Andreas LieberothAarhus University, Aarhus, Denmark.ORCID 0000-0003-0214-5791
Oli AhmedUniversity of Chittagong, Chittagong, Bangladesh.ORCID 0000-0001-8540-8037

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo limit the rapid spread of COVID-19, countries have asked their citizens to stay at home. As a result, demographic and cultural factors related to home life have become especially relevant to predict population well-being during isolation. This pre-registered worldwide study analyses the relationship between the number of adults and children in a household, marital status, age, gender, education level, COVID-19 severity, individualism-collectivism, and perceived stress.

methodsWe used the COVIDiSTRESS Global Survey data of 53,524 online participants from 26 countries and areas. The data were collected between 30 March and 6 April 2020.

resultsHigher levels of stress were associated with younger age, being a woman, lower level of education, being single, staying with more children, and living in a country or area with a more severe COVID-19 situation.

conclusionsThe COVID-19 pandemic revealed that certain people may be more susceptible to experience elevated levels of stress. Our findings highlight the need for public health to be attentive to both the physical and the psychological well-being of these groups.

Indexed as

Family CharacteristicsPhysical DistancingAdolescentAdultAgedAged, 80 and overAge FactorsCOVID-19Cross-Cultural ComparisonFemaleHealth SurveysHumansInternetMaleMiddle AgedQuarantineCOVID-19cross-culturaldemographic characteristicsquarantinestresswell-being

Identifiers

PMID32996217
PMCPMC7537225

What OpenQuestion holds

Textmetadata
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.