Evidence map›Paper›PMID 36454771›Full record

ArticlePloS one2022

Sleep quality among workers in the health sector exposed to the COVID-19 pandemic.

Adelina Tmava-Berisha, Frederike T Fellendorf, Michaela Ratzenhofer, Alexander Maget, Martina Platzer, Susanne A Bengesser, Armin Birner, Robert Queissner, Elena Schönthaler, Nina Dalkner and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 7 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

12 authors at 1 institution in 1 country.

Adelina Tmava-BerishaDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.ORCID 0000-0002-5068-5947
Frederike T FellendorfDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Michaela RatzenhoferDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Alexander MagetDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Martina PlatzerDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Susanne A BengesserDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Armin BirnerDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Robert QueissnerDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Elena SchönthalerDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.ORCID 0000-0002-9645-4503
Nina DalknerDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.
Melanie LengerDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.ORCID 0000-0003-0638-5389
Eva Z ReininghausDepartment of Psychiatry and Psychotherapeutic Medicine, Medical University of Graz, Graz, Austria.ORCID 0000-0001-5964-4087
Medical University of Graz · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing pandemic of coronavirus disease (COVID-19) is a global health crisis that has posed enormous pressure on workers in the health sector (WHS), having a massive impact on their mental health. In this study, we aimed to evaluate the sleep quality of WHS during the pandemic and compare frontline WHS to those who are not directly engaged in the care of COVID-19 patients. This cross-sectional, self-reported online survey assessed the sleep quality of WHS in Austria using the Pittsburgh Sleep Quality Index (PSQI). The same questionnaire was sent out two times. Due to the unequal sample and anonymity of the study participants, we analyzed the data of each time point separate from each other. The first study was conducted in April/May 2020, during the first lockdown in Austria (Study1), and the second study was conducted in July/August 2020, when the social restrictions were loosened (Study2). T-test was used to compare the mean values of PSQI scores between frontline vs. non-frontline WHS, while two two-way ANCOVAs were used to analyze differences in the PSQI mean scores (controlled for age) for male vs. female between frontline vs. non-frontline WHS. During the first lockdown in Austria (Study1) we identified a shorter sleep duration of frontline WHS compared to the non-frontline group, however the difference in global PSQI score between these groups was statistically not significant. In the period after loosened restrictions (Study2) the sleep quality, sleep latency, sleep duration, sleep efficiency and global PSQI score was worse in frontline WHS compared to the non-frontline WHS. Furthermore, female WHS scored higher in the PSQI indicating a worse sleep than male WHS. In addition, nurses and nursing assistants had a higher prevalence of poor sleep quality than other occupational groups. Our results indicate that the COVID-19 pandemic negatively impacts the sleep of WHS, affecting particularly frontline WHS. Preventive interventions aiming to promote good sleep quality in WHS during a healthcare crisis like this pandemic are essential to enhance resilience and mitigate the vulnerability of this specific population.

Indexed as

COVID-19PandemicsCommunicable Disease ControlCross-Sectional StudiesFemaleHumansMaleSleep Quality

Identifiers

PMID36454771
PMCPMC9714716
OpenAlexW4311069544

What Socratic 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 Socratic graph.