Predictive factors of burnout syndrome in nursing students at a public university
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista da Escola de Enfermagem da USP (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342020000100421 |
Resumo: | Abstract Objective: To identify the prevalence and analyze the existence of predictive factors of burnout syndrome in nursing students of a public university unit. Method: A quantitative, descriptive, and cross-sectional study. Data were collected from two instruments: a sociodemographic instrument and the Maslach Burnout Inventory - Student Survey. Simple and multiple logistic regression models were adjusted to assess the association between variables. Results: There were 100 students who participated in the research, of which 20% presented burnout syndrome. Second (p = 0.036) and third year students (p = 0.046), those using medication (p = 0.002) and those considering dropping out (p = 0.001) were significantly associated with burnout. Only students who were thinking of dropping out of the course (p = 0.025) maintained a significant association in the multiple logistic regression model, which means that the probability of an individual from the population from which the sample was extracted presenting burnout syndrome was higher in this variable. Conclusion: The burnout syndrome prevalence corresponded to 20%. The predictors of burnout were: second and third years of the course, use of medication and thinking of dropping out from the course. |
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Revista da Escola de Enfermagem da USP (Online) |
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Predictive factors of burnout syndrome in nursing students at a public universityStudents, NursingEducation, NursingStress, PsychologicalMental HealthAbstract Objective: To identify the prevalence and analyze the existence of predictive factors of burnout syndrome in nursing students of a public university unit. Method: A quantitative, descriptive, and cross-sectional study. Data were collected from two instruments: a sociodemographic instrument and the Maslach Burnout Inventory - Student Survey. Simple and multiple logistic regression models were adjusted to assess the association between variables. Results: There were 100 students who participated in the research, of which 20% presented burnout syndrome. Second (p = 0.036) and third year students (p = 0.046), those using medication (p = 0.002) and those considering dropping out (p = 0.001) were significantly associated with burnout. Only students who were thinking of dropping out of the course (p = 0.025) maintained a significant association in the multiple logistic regression model, which means that the probability of an individual from the population from which the sample was extracted presenting burnout syndrome was higher in this variable. Conclusion: The burnout syndrome prevalence corresponded to 20%. The predictors of burnout were: second and third years of the course, use of medication and thinking of dropping out from the course.Universidade de São Paulo, Escola de Enfermagem2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342020000100421Revista da Escola de Enfermagem da USP v.54 2020reponame:Revista da Escola de Enfermagem da USP (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/s1980-220x2018044003564info:eu-repo/semantics/openAccessVasconcelos,Eduardo Motta deTrindade,Charlene OliveiraBarbosa,Luciene RodriguesMartino,Milva Maria Figueiredo deeng2020-06-24T00:00:00Zoai:scielo:S0080-62342020000100421Revistahttp://www.scielo.br/reeuspPUBhttps://old.scielo.br/oai/scielo-oai.php||nursingscholar@usp.br1980-220X0080-6234opendoar:2020-06-24T00:00Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Predictive factors of burnout syndrome in nursing students at a public university |
title |
Predictive factors of burnout syndrome in nursing students at a public university |
spellingShingle |
Predictive factors of burnout syndrome in nursing students at a public university Vasconcelos,Eduardo Motta de Students, Nursing Education, Nursing Stress, Psychological Mental Health |
title_short |
Predictive factors of burnout syndrome in nursing students at a public university |
title_full |
Predictive factors of burnout syndrome in nursing students at a public university |
title_fullStr |
Predictive factors of burnout syndrome in nursing students at a public university |
title_full_unstemmed |
Predictive factors of burnout syndrome in nursing students at a public university |
title_sort |
Predictive factors of burnout syndrome in nursing students at a public university |
author |
Vasconcelos,Eduardo Motta de |
author_facet |
Vasconcelos,Eduardo Motta de Trindade,Charlene Oliveira Barbosa,Luciene Rodrigues Martino,Milva Maria Figueiredo de |
author_role |
author |
author2 |
Trindade,Charlene Oliveira Barbosa,Luciene Rodrigues Martino,Milva Maria Figueiredo de |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Vasconcelos,Eduardo Motta de Trindade,Charlene Oliveira Barbosa,Luciene Rodrigues Martino,Milva Maria Figueiredo de |
dc.subject.por.fl_str_mv |
Students, Nursing Education, Nursing Stress, Psychological Mental Health |
topic |
Students, Nursing Education, Nursing Stress, Psychological Mental Health |
description |
Abstract Objective: To identify the prevalence and analyze the existence of predictive factors of burnout syndrome in nursing students of a public university unit. Method: A quantitative, descriptive, and cross-sectional study. Data were collected from two instruments: a sociodemographic instrument and the Maslach Burnout Inventory - Student Survey. Simple and multiple logistic regression models were adjusted to assess the association between variables. Results: There were 100 students who participated in the research, of which 20% presented burnout syndrome. Second (p = 0.036) and third year students (p = 0.046), those using medication (p = 0.002) and those considering dropping out (p = 0.001) were significantly associated with burnout. Only students who were thinking of dropping out of the course (p = 0.025) maintained a significant association in the multiple logistic regression model, which means that the probability of an individual from the population from which the sample was extracted presenting burnout syndrome was higher in this variable. Conclusion: The burnout syndrome prevalence corresponded to 20%. The predictors of burnout were: second and third years of the course, use of medication and thinking of dropping out from the course. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342020000100421 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0080-62342020000100421 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/s1980-220x2018044003564 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
publisher.none.fl_str_mv |
Universidade de São Paulo, Escola de Enfermagem |
dc.source.none.fl_str_mv |
Revista da Escola de Enfermagem da USP v.54 2020 reponame:Revista da Escola de Enfermagem da USP (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Revista da Escola de Enfermagem da USP (Online) |
collection |
Revista da Escola de Enfermagem da USP (Online) |
repository.name.fl_str_mv |
Revista da Escola de Enfermagem da USP (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||nursingscholar@usp.br |
_version_ |
1748936540496592896 |