Evidence map›Paper›PMID 36158313›Full record

ArticleSocius : sociological research for a dynamic world

Mothering and Stress during COVID-19: Exploring the Moderating Effects of Employment.

Hope Xu Yan, Liana C Sayer, Daniela Veronica Negraia, R Gordon Rinderknecht, Long Doan, Kelsey J Drotning, Jessica N Fish, Clayton Buck

Abstract read
In one paragraph

Article in Socius : sociological research for a dynamic world. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Perinatal Depressive Symptoms among Pregnant Employees in Taiwan.International journal of environmental research and public health · 2023
    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

8 authors.

Hope Xu YanUniversity of Maryland, College Park, MD, USA.ORCID https://orcid.org/0000-0002-5546-0739
Liana C SayerUniversity of Maryland, College Park, MD, USA.
Daniela Veronica NegraiaUniversity of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-6213-8222
R Gordon RinderknechtMax Planck Institute for Demographic Research, Rostock, Mecklenburg-Vorpommern, Germany.
Long DoanUniversity of Maryland, College Park, MD, USA.ORCID https://orcid.org/0000-0001-9875-1037
Kelsey J DrotningUniversity of Maryland, College Park, MD, USA.ORCID https://orcid.org/0000-0001-9479-1146
Jessica N FishUniversity of Maryland, College Park, MD, USA.
Clayton BuckUniversity of Maryland, College Park, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using primary data from the Assessing the Social Consequences of COVID-19 study, the authors examined how the pandemic affected the stress levels of women with and without coresiding minor children (mothers vs. nonmothers), paying special attention to the moderating role of employment status. The ordinary least squares regression results show that following the pandemic outbreak, among full-time working women, mothers reported smaller stress increases than nonmothers. In contrast, among part-time and nonemployed women, mothers and nonmothers experienced similar stress increases. Also, full-time working mothers reported smaller stress increases than women with most other mothering and employment statuses. Changes in women's employment status, following pandemic onset, had limited impacts on the patterns of stress change. This study contributes to research on parenting and health by showing that during times of crisis, full-time employment may be protective of mothers' mental health but may not buffer the mental health deterioration of women not raising children.

Indexed as

COVID-19employmentparentingstresswomen

Identifiers

PMID36158313
PMCPMC9490394

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.