Evidence map›Paper›PMID 35962404›Full record

ArticleBMC psychology2022

Mediating effect of sleep disturbance and rumination on work-related burnout of nurses treating patients with coronavirus disease.

Salman Zarei, Khadijeh Fooladvand

Open access · goldAbstract read
In one paragraph

Article in BMC psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

13 citing papers in PubMed, 26 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

2 authors at 1 institution in 1 country.

Salman ZareiPsychology Department, Lorestan University, Khorramabad, Iran. zarei.s@lu.ac.ir.ORCID http://orcid.org/0000-0002-4627-4854
Khadijeh FooladvandPsychology Department, Lorestan University, Khorramabad, Iran.ORCID http://orcid.org/0000-0001-6071-7036
Lorestan University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-19 has created significant and unprecedented psychological distress on nurses working with COVID-19 patients. Nurses dealing with such psychological distress are prone to burnout. This study examined the mediating role of sleep disturbance and rumination in the association between psychological distress and work-related burnout of nurses treating COVID-19 patients.

methodsA cross-sectional study was conducted from 26th February to 16th March 2021, on a sample of 250 nurses who were actively working during the COVID-19 pandemic in five referral hospitals in Tehran, Iran. The Oldenburg Burnout Inventory, Kessler Psychological Distress Scale (K10), Pittsburgh Sleep Quality Index, and Ruminative Responses Scale were used to collect data. Data analysis was based on pearson' correlation analysis and path analysis.

resultsPsychological distress has a significant effect on job burnout. When sleep disturbances were modeled as a mediator, path coefficients of psychological distress showed a significant effect on job burnout. Also, according to the findings, rumination poses a significant mediating effect on the association between psychological distress and job burnout.

conclusionThis study demonstrated the importance of designing psychological interventions intended to reduce sleep disturbances and rumination when experiencing stressful events to avoid job burnout among nurses.

Indexed as

Burnout, ProfessionalCOVID-19Sleep Wake DisordersBurnout, PsychologicalCross-Sectional StudiesHumansIranPandemicsSleepSurveys and QuestionnairesBurnoutNursePsychological distressRuminationSleep disturbance

Identifiers

PMID35962404
PMCPMC9372524
OpenAlexW4290851637

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.