Evidence map›Paper›PMID 34730763›Full record

ArticleRevista latino-americana de enfermagem2021

Burnout, daytime sleepiness and sleep quality among technical-level Nursing students.

Kawanna Vidotti Amaral, Maria José Quina Galdino, Júlia Trevisan Martins

Open access · diamondAbstract read
In one paragraph

Article in Revista latino-americana de enfermagem, 2021. 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
10.2field-weighted citation impact, top 2% 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, 30 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 1 country.

Kawanna Vidotti AmaralUniversidade Estadual de Londrina, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0001-7264-7530
Maria José Quina GaldinoUniversidade Estadual do Norte do Paraná, Departamento de Enfermagem, Bandeirantes, PR, Brazil.ORCID http://orcid.org/0000-0001-6709-3502
Júlia Trevisan MartinsUniversidade Estadual de Londrina, Londrina, PR, Brazil.ORCID http://orcid.org/0000-0001-6383-7981
Universidade Estadual de Londrina · BRUniversidade Estadual do Norte do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto evaluate the association of the burnout syndrome with daytime sleepiness and sleep quality among technical-level Nursing students.

methoda cross-sectional, analytical and quantitative study, conducted with 213 students from four technical Nursing courses in a city of Paraná, Brazil. Data collection was carried out using an instrument containing characterization information, the Maslach Burnout Inventory - Student Survey, the Epworth Sleepiness Scale and the Pittsburgh Sleep Quality Index. The data were analyzed using descriptive statistics and logistic regression.

resultsthe prevalence values of the burnout syndrome, excessive daytime sleepiness and poor sleep quality were 4.7%, 34.7% and 58.7%, respectively. Excessive daytime sleepiness significantly increased the chances of high emotional exhaustion (ORadj: 5.714; p<0.001) and high depersonalization (ORadj: 4.259; p<0.001). Poor sleep quality, especially sleep disorders, was associated with all dimensions of the syndrome (p<0.05).

conclusionhigh levels of the burnout syndrome dimensions were associated with excessive daytime sleepiness and poor sleep quality. Educational institutions should include sleep hygiene and psychosocial support in their student health promotion programs.

Indexed as

Burnout, ProfessionalDisorders of Excessive SomnolenceStudents, NursingCross-Sectional StudiesHumansSleep Hygiene

Identifiers

PMID34730763
PMCPMC8570253
OpenAlexW3211197310

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.