Evidence map›Paper›PMID 38515592›Full record

ArticleFrontiers in public health2024

Psychosocial strain and coping of Finnish working mothers during the COVID-19 lockdown: a job demand-control approach.

Venla Panula, Nelli Lyyra, Angeliki Kallitsoglou, Emmanuel Acquah, Pamela-Zoe Topalli

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Venla PanulaDepartment of Teacher Education, Faculty of Education, University of Turku, Turku, Finland.
Nelli LyyraHealth Promotion and Health Education, Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
Angeliki KallitsoglouSchool of Education, University of Exeter, Exeter, United Kingdom.
Emmanuel AcquahFaculty of Education and Welfare Studies, Åbo Akademi University, Turku, Finland.
Pamela-Zoe TopalliDepartment of Teacher Education, Faculty of Education, University of Turku, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In March 2020 many countries around the world, including Finland, implemented lockdown measures to mitigate the unprecedented impacts of the coronavirus infectious disease (COVID-19) on public health. As a result, school and daycare settings closed indefinitely and working from home became the new normal for a big part of the workforce, which came with increased homeschooling and childcare responsibility for mothers. Methods: In this article we present the findings from maternal responses to open ended questions on psychosocial well-being, and experiences of combining work, family life and homeschooling during the COVID-19 national lockdown in Finland in March-May 2020. Working mothers' responses ( Results: The findings indicated important variation in the level of experienced demand and control and associated compensatory factors during the COVID-19 lockdown across different subgroups of working mothers. Discussion: The findings have implications for understanding strain and plausible supports among working mothers during the COVID-19 lockdown as well as in the face of acute adversity including the next possible public health crisis.

Indexed as

Communicable DiseasesCOVID-19Occupational StressAdaptation, PsychologicalCommunicable Disease ControlFemaleFinlandHumansMothersCOVID-19homeschooljob demand-control modelmothersstresswork

Identifiers

PMID38515592
PMCPMC10956695

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.