Evidence map›Paper›PMID 33615477›Full record

ArticleInternational journal of psychology : Journal international de psychologie2021

Employee psychological well-being during the COVID-19 pandemic in Germany: A longitudinal study of demands, resources, and exhaustion.

Bertolt Meyer, Alexander Zill, Dominik Dilba, Rebecca Gerlach, Susen Schumann

Open access · hybridAbstract read
In one paragraph

Article in International journal of psychology : Journal international de psychologie, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
22.0field-weighted citation impact, top 1% 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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 177 citations in OpenAlex.

  1. Pooled it
  2. Teleworking Effects on Mental Health-A Systematic Review and a Research Agenda.International journal of environmental research and public health · 2024
    Pooled it
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2 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

5 authors at 1 institution in 1 country.

Bertolt MeyerDepartment of Psychology, Chemnitz University of Technology, Chemnitz, Germany.ORCID https://orcid.org/0000-0003-4695-9252
Alexander ZillDepartment of Psychology, Chemnitz University of Technology, Chemnitz, Germany.
Dominik DilbaDepartment of Psychology, Chemnitz University of Technology, Chemnitz, Germany.
Rebecca GerlachDepartment of Psychology, Chemnitz University of Technology, Chemnitz, Germany.
Susen SchumannDepartment of Psychology, Chemnitz University of Technology, Chemnitz, Germany.
Chemnitz University of Technology · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many governments react to the current coronavirus/COVID-19 pandemic by restricting daily (work) life. On the basis of theories from occupational health, we propose that the duration of the pandemic, its demands (e.g., having to work from home, closing of childcare facilities, job insecurity, work-privacy conflicts, privacy-work conflicts) and personal- and job-related resources (co-worker social support, job autonomy, partner support and corona self-efficacy) interact in their effect on employee exhaustion. We test the hypotheses with a three-wave sample of German employees during the pandemic from April to June 2020 (N

Indexed as

AdultCommunicable Disease ControlCOVID-19FemaleGermanyHumansLongitudinal StudiesMaleMiddle AgedOccupational HealthPandemicsSelf EfficacySocial SupportWorkloadCoronaDemandsExhaustionLockdown measuresResources

Identifiers

PMID33615477
PMCPMC8013458
OpenAlexW3131960129

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.