Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022

Detalhes bibliográficos
Autor(a) principal: Soares, Leonardo Fabrício Gomes
Data de Publicação: 2023
Outros Autores: Pereira, Renan Sallazar Ferreira, Pereira, Ana Paula Gomes Soares, Bastos, Paulo Roberto Haidamus de Oliveira
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Scire Salutis
Texto Completo: https://sustenere.inf.br/index.php/sciresalutis/article/view/8321
Resumo: The main objective of the study was to analyze the time trend of leave due to depressive disorder, in public servants of a federal university, between 2012 and 2022. As for the method, it is a time series analysis of the rates of leave due to unipolar depressive disorder, which occurred with teachers and administrative technicians who had a diagnosis of depressive disorder F32 and F33, according to the 10th version of the International Code of Disease. Sociodemographic and professional variables and annual leave rates were evaluated. Descriptive analysis was performed based on absolute and relative frequency distribution, including dispersion measures. Prais-Winsten regression was used to perform the trend analysis and calculation of the annual variation, with a statistical significance level of less than 0.05%. Data were collected in the Personnel Management System of the Federal University of Mato Grosso do Sul. The results obtained showed that there were 2244 absences from work due to depressive disorder in public servants of the Federal University of Mato Grosso do Sul - UFMS, from 2012 to 2022, with an average of 36.14 (± 25.035) days, ranging from 1 to 180 days. An increasing trend was also observed in the number of days away from Elementary Education (4.718%; p=0.036), for Judicially Separated Marital Status (2.150%; p=0.004) and for the age group up to 51 years (0.601 %; p=0.054), which was on the threshold of statistical significance. It is concluded that the trends detected in the grouping variables provided a dynamic diagnosis of the occurrence of absences and their prediction, being useful for managers to plan health interventions aimed at servers.
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spelling Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022Tendência temporal dos afastamentos do trabalho por transtorno depressivo em uma Universidade Pública Federal, 2012-2022Transtorno depressivoDepressãoAnsiedadeAbsenteísmoSaúde mentalEmpregados do governoDepressive DisorderDepressionAnxietyAbsenteeismMental HealthGovernment EmployeesThe main objective of the study was to analyze the time trend of leave due to depressive disorder, in public servants of a federal university, between 2012 and 2022. As for the method, it is a time series analysis of the rates of leave due to unipolar depressive disorder, which occurred with teachers and administrative technicians who had a diagnosis of depressive disorder F32 and F33, according to the 10th version of the International Code of Disease. Sociodemographic and professional variables and annual leave rates were evaluated. Descriptive analysis was performed based on absolute and relative frequency distribution, including dispersion measures. Prais-Winsten regression was used to perform the trend analysis and calculation of the annual variation, with a statistical significance level of less than 0.05%. Data were collected in the Personnel Management System of the Federal University of Mato Grosso do Sul. The results obtained showed that there were 2244 absences from work due to depressive disorder in public servants of the Federal University of Mato Grosso do Sul - UFMS, from 2012 to 2022, with an average of 36.14 (± 25.035) days, ranging from 1 to 180 days. An increasing trend was also observed in the number of days away from Elementary Education (4.718%; p=0.036), for Judicially Separated Marital Status (2.150%; p=0.004) and for the age group up to 51 years (0.601 %; p=0.054), which was on the threshold of statistical significance. It is concluded that the trends detected in the grouping variables provided a dynamic diagnosis of the occurrence of absences and their prediction, being useful for managers to plan health interventions aimed at servers.O objetivo principal do estudo foi analisar a tendência temporal dos afastamentos por transtorno depressivo, em servidores públicos de uma universidade federal, entre 2012 a 2022. Quanto ao método, trata-se de uma análise de série temporal das taxas dos afastamentos por transtorno depressivo unipolar, ocorrido com professores e técnicos administrativos que possuíam diagnóstico de transtorno depressivo F32 e F33, de acordo com a 10ª versão do Código Internacional de Doença. Foram avaliadas as variáveis sociodemográficas, profissionais e as taxas anuais dos afastamentos. A análise descritiva foi realizada a partir da distribuição de frequência absoluta e relativa, incluindo às medidas de dispersão. A regressão de Prais-Winsten foi usada para efetuar a análise de tendência e cálculo da variação anual, com nível de significância estatística menor que 0,05%. Os dados foram coletados no Sistema de Gestão de Pessoas, da Universidade Federal de Mato Grosso do Sul. Os resultados obtidos, demostraram que ocorreram 2244 afastamentos do trabalho por transtorno depressivo em servidores públicos da Universidade Federal do Mato Grosso do Sul – UFMS, de 2012 a 2022, com uma média de 36,14 (± 25,035) dias, variando de 1 a 180 dias. Também foi observado uma tendência crescente no número de dias de afastamento para a Escolaridade Ensino Fundamental (4,718%; p=0,036), para o Estado Civil Separado Judicialmente (2,150%; p=0,004) e para a faixa etária até 51 anos (0,601%; p=0,054), que ficou no limiar da significância estatística. Conclui-se que as tendências detectadas nas variáveis de agrupamento forneceram um diagnóstico dinâmico da ocorrência dos afastamento e sua previsão, sendo útil para que gestores planejarem intervenções em saúde direcionadas aos servidores.Sustenere Publishing2023-08-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://sustenere.inf.br/index.php/sciresalutis/article/view/832110.6008/CBPC2236-9600.2023.002.0011Scire Salutis; Vol. 13 No. 2 (2023): Scire Salutis - Fev, Mar, Abr 2023; 126-139Scire Salutis; Vol. 13 Núm. 2 (2023): Scire Salutis - Fev, Mar, Abr 2023; 126-139Scire Salutis; v. 13 n. 2 (2023): Scire Salutis - Fev, Mar, Abr 2023; 126-1392236-9600reponame:Scire Salutisinstname:Companhia Brasileira de Produção Científica (CBPC)instacron:ESSporenghttps://sustenere.inf.br/index.php/sciresalutis/article/view/8321/4446https://sustenere.inf.br/index.php/sciresalutis/article/view/8321/4445Copyright (c) 2023 Scire Salutishttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessSoares, Leonardo Fabrício Gomes Pereira, Renan Sallazar FerreiraPereira, Ana Paula Gomes Soares Bastos, Paulo Roberto Haidamus de Oliveira 2023-12-29T22:29:37Zoai:ojs.pkp.sfu.ca:article/8321Revistahttps://sustenere.co/index.php/sciresalutisONGhttps://sustenere.co/index.php/sciresalutis/oai||carlos@arvore.org.br2236-96002236-9600opendoar:2023-12-29T22:29:37Scire Salutis - Companhia Brasileira de Produção Científica (CBPC)false
dc.title.none.fl_str_mv Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
Tendência temporal dos afastamentos do trabalho por transtorno depressivo em uma Universidade Pública Federal, 2012-2022
title Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
spellingShingle Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
Soares, Leonardo Fabrício Gomes
Transtorno depressivo
Depressão
Ansiedade
Absenteísmo
Saúde mental
Empregados do governo
Depressive Disorder
Depression
Anxiety
Absenteeism
Mental Health
Government Employees
title_short Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
title_full Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
title_fullStr Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
title_full_unstemmed Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
title_sort Time trend of absences from work due to depressive disorder at a Federal Public University, 2012-2022
author Soares, Leonardo Fabrício Gomes
author_facet Soares, Leonardo Fabrício Gomes
Pereira, Renan Sallazar Ferreira
Pereira, Ana Paula Gomes Soares
Bastos, Paulo Roberto Haidamus de Oliveira
author_role author
author2 Pereira, Renan Sallazar Ferreira
Pereira, Ana Paula Gomes Soares
Bastos, Paulo Roberto Haidamus de Oliveira
author2_role author
author
author
dc.contributor.author.fl_str_mv Soares, Leonardo Fabrício Gomes
Pereira, Renan Sallazar Ferreira
Pereira, Ana Paula Gomes Soares
Bastos, Paulo Roberto Haidamus de Oliveira
dc.subject.por.fl_str_mv Transtorno depressivo
Depressão
Ansiedade
Absenteísmo
Saúde mental
Empregados do governo
Depressive Disorder
Depression
Anxiety
Absenteeism
Mental Health
Government Employees
topic Transtorno depressivo
Depressão
Ansiedade
Absenteísmo
Saúde mental
Empregados do governo
Depressive Disorder
Depression
Anxiety
Absenteeism
Mental Health
Government Employees
description The main objective of the study was to analyze the time trend of leave due to depressive disorder, in public servants of a federal university, between 2012 and 2022. As for the method, it is a time series analysis of the rates of leave due to unipolar depressive disorder, which occurred with teachers and administrative technicians who had a diagnosis of depressive disorder F32 and F33, according to the 10th version of the International Code of Disease. Sociodemographic and professional variables and annual leave rates were evaluated. Descriptive analysis was performed based on absolute and relative frequency distribution, including dispersion measures. Prais-Winsten regression was used to perform the trend analysis and calculation of the annual variation, with a statistical significance level of less than 0.05%. Data were collected in the Personnel Management System of the Federal University of Mato Grosso do Sul. The results obtained showed that there were 2244 absences from work due to depressive disorder in public servants of the Federal University of Mato Grosso do Sul - UFMS, from 2012 to 2022, with an average of 36.14 (± 25.035) days, ranging from 1 to 180 days. An increasing trend was also observed in the number of days away from Elementary Education (4.718%; p=0.036), for Judicially Separated Marital Status (2.150%; p=0.004) and for the age group up to 51 years (0.601 %; p=0.054), which was on the threshold of statistical significance. It is concluded that the trends detected in the grouping variables provided a dynamic diagnosis of the occurrence of absences and their prediction, being useful for managers to plan health interventions aimed at servers.
publishDate 2023
dc.date.none.fl_str_mv 2023-08-10
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://sustenere.inf.br/index.php/sciresalutis/article/view/8321
10.6008/CBPC2236-9600.2023.002.0011
url https://sustenere.inf.br/index.php/sciresalutis/article/view/8321
identifier_str_mv 10.6008/CBPC2236-9600.2023.002.0011
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://sustenere.inf.br/index.php/sciresalutis/article/view/8321/4446
https://sustenere.inf.br/index.php/sciresalutis/article/view/8321/4445
dc.rights.driver.fl_str_mv Copyright (c) 2023 Scire Salutis
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Scire Salutis
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Sustenere Publishing
publisher.none.fl_str_mv Sustenere Publishing
dc.source.none.fl_str_mv Scire Salutis; Vol. 13 No. 2 (2023): Scire Salutis - Fev, Mar, Abr 2023; 126-139
Scire Salutis; Vol. 13 Núm. 2 (2023): Scire Salutis - Fev, Mar, Abr 2023; 126-139
Scire Salutis; v. 13 n. 2 (2023): Scire Salutis - Fev, Mar, Abr 2023; 126-139
2236-9600
reponame:Scire Salutis
instname:Companhia Brasileira de Produção Científica (CBPC)
instacron:ESS
instname_str Companhia Brasileira de Produção Científica (CBPC)
instacron_str ESS
institution ESS
reponame_str Scire Salutis
collection Scire Salutis
repository.name.fl_str_mv Scire Salutis - Companhia Brasileira de Produção Científica (CBPC)
repository.mail.fl_str_mv ||carlos@arvore.org.br
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