Evidence map›Paper›PMID 36959340›Full record

ArticleScientific reports2023

Academic burnout among master and doctoral students during the COVID-19 pandemic.

Diego Andrade, Icaro J S Ribeiro, Orsolya Máté

Open access · goldFull text read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
10.9field-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

7 citing papers in PubMed, 25 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

3 authors at 2 institutions in 2 countries.

Diego AndradeDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary. andrade.diego@etk.pte.hu.ORCID 0000-0002-5323-1211
Icaro J S RibeiroNursing Faculty, Southwest Bahia State University, Jequié, Brazil.ORCID 0000-0002-4389-7810
Orsolya MátéDoctoral School of Health Sciences, Faculty of Health Sciences, University of Pécs, Pécs, Hungary.ORCID 0000-0003-4778-3519
University of Pecs · HUSouthwest Bahia State University · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak has had an immense impact on academic life and public health. Graduate students had experienced obligatory curfews and quarantines due to the COVID-19 outbreak directly impacting their mental health and triggering academic burnout. In this cross-sectional study, we address the issue of mental health in graduate students by relating it to the factors associated with burnout syndrome during the COVID-19 pandemic. A total of 519 graduate students from master's and Ph.D./DLA degrees across universities in Hungary and other European countries participated in this study. The Copenhagen burnout inventory student version was used to evaluate burnout syndrome as an outcome. Our findings displayed burnout significantly lower among graduate students who had good sleep quality, receive high levels of support from their university, and were satisfied with how their university dealt with the pandemic. The excessive consumption of alcohol, the use of antidepressants, being single, and thinking about dropping out showed as predictive factors of burnout. The results add to emergent evidence on the impact of the COVID-19 pandemic on mental health and the predicted factors of academic burnout among master and doctoral students.

Indexed as

Burnout, PsychologicalCOVID-19AdultEducation, GraduateFemaleHumansLife StyleMaleMarital StatusStudentsYoung Adult

Identifiers

PMID36959340
PMCPMC10034888
OpenAlexW4360619615

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read16
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.