Predictive factors of burnout syndrome in nursing students at a public university

Detalhes bibliográficos
Autor(a) principal: Vasconcelos,Eduardo Motta de
Data de Publicação: 2020
Outros Autores: Trindade,Charlene Oliveira, Barbosa,Luciene Rodrigues, Martino,Milva Maria Figueiredo de
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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spelling 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
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