Hospitalizations due to stress in Southern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/15259 |
Resumo: | Objective: Investigate hospitalizations due to stress in the southern states of Brazil from January 2009 to December 2018. Methodology: Records were collected from the SIH / SUS (Hospital Internment System of the Unified Health System) files on the electronic platform of the Department of Informatics of the Unified Health System (DATASUS), referring to hospitalizations whose main diagnosis contained in chapter V of the ICD - 10 belonged to the category F43 “Reactions to “stress ” severe and adaptation disorders” and subcategories. The time trend was assessed by joinpoint regression (version 3.4.2.) And geospatial analysis using Quantum Gis software (QGIS), version 2.16. Results: Paraná, Santa Catarina and Rio Grande do Sul presented a downward trend with Annual Percentage Change (APC) values of -14.7, -6.2 and -15.8, respectively. The female gender was more incident, with the exception of 2013 and 2017. Separating F43 hospitalizations into subcategories, F43.0 (Acute reaction to “stress”) was the main cause of hospitalization due to stress (4.27). The spatial analysis showed 57 High-High municipalities (p <0.05). Conclusion: The data obtained suggest that with the implementation of Ordinance No. 3,088 of December 23, 2011, the number of cases per hospitalization due to stress decreased. |
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Hospitalizations due to stress in Southern BrazilHospitalizaciones por estrés en el Sur de BrasilInternações por estresse no Sul do BrasilMental healthBrazilStressHospitalization.Salud mentalBrasilEstrésHospitalización.Saúde mentalBrasilEstresseInternação.Objective: Investigate hospitalizations due to stress in the southern states of Brazil from January 2009 to December 2018. Methodology: Records were collected from the SIH / SUS (Hospital Internment System of the Unified Health System) files on the electronic platform of the Department of Informatics of the Unified Health System (DATASUS), referring to hospitalizations whose main diagnosis contained in chapter V of the ICD - 10 belonged to the category F43 “Reactions to “stress ” severe and adaptation disorders” and subcategories. The time trend was assessed by joinpoint regression (version 3.4.2.) And geospatial analysis using Quantum Gis software (QGIS), version 2.16. Results: Paraná, Santa Catarina and Rio Grande do Sul presented a downward trend with Annual Percentage Change (APC) values of -14.7, -6.2 and -15.8, respectively. The female gender was more incident, with the exception of 2013 and 2017. Separating F43 hospitalizations into subcategories, F43.0 (Acute reaction to “stress”) was the main cause of hospitalization due to stress (4.27). The spatial analysis showed 57 High-High municipalities (p <0.05). Conclusion: The data obtained suggest that with the implementation of Ordinance No. 3,088 of December 23, 2011, the number of cases per hospitalization due to stress decreased.Objetivo: Investigar las hospitalizaciones por estrés en los estados del sur de Brasil desde enero de 2009 a diciembre de 2018. Metodología: Se recogieran datos de registros de los archivos SIH / SUS (Sistema de Internación Hospitalaria del Sistema Único de Salud) en la plataforma electrónica del Departamento de Informática del Sistema Único de Salud (DATASUS), referentes a las hospitalizaciones cuyo diagnóstico principal contenido en el capítulo V de la CIE-10 pertenecían a la categoría F43 "Reacciones a"estrés " trastornos severos y de adaptación” y subcategorías. La tendencia temporal se evaluó mediante regresión joinpoint (versión 3.4.2.) Y el análisis geoespacial fue realizado a partir del software Quantum Gis (QGIS), versión 2.16. Resultados: Paraná, Santa Catarina y Rio Grande do Sul mostraron una tendencia a la baja con valores de Annual Percentage Change (APC) de -14,7, -6,2 y -15,8, respectivamente. El género femenino se mostró más incidente, excepto de 2013 y 2017. Separando las hospitalizaciones F43 en subcategorías, F43.0 (Reacción aguda al “estrés”) fue la principal causa de hospitalización por estrés (4.27). El análisis espacial mostró 57 municipios Alto-Alto (p <0.05). Conclusión: Los datos obtenidos sugieren que con la implementación de la Ordenanza No. 3.088 del 23 de diciembre de 2011, disminuyó el número de casos por hospitalización por estrés.Objetivo: Investigar as internações por estresse nos estados do Sul do Brasil no período de janeiro de 2009 a dezembro de 2018. Metodologia: Foram coletados registros dos arquivos do SIH/SUS (Sistema Internação Hospitalar do Sistema único de Saúde) na plataforma eletrônica do Departamento de Informática do Sistema Único de Saúde (DATASUS), referente às internações cujo diagnóstico principal contido no capítulo V do CID – 10 pertencessem à categoria F43 “Reações ao “stress” grave e transtornos de adaptação” e subcategorias. A tendência temporal foi avaliada por regressão joinpoint (versão 3.4.2.) e a análise geoespacial por meio do software Quantum Gis (QGIS), versão 2.16. Resultados: Paraná, Santa Catarina e Rio Grande do Sul apresentaram tendência decrescente com valores de Annual Percentage Change (APC) de -14.7, -6.2 e -15.8, respectivamente. O gênero feminino foi mais incidente, com exceção de 2013 e 2017. Separando as internações F43 em subcategorias, a F43.0 (Reação aguda ao “stress”) foi a principal causa de internação por estresse (4.27). A análise espacial apresentou 57 municípios High-High (p<0.05). Conclusão: Os dados obtidos sugerem que com a implantação da Portaria nº 3.088 de 23 de dezembro de 2011, o número de casos por internação por estresse diminuiu. O gênero feminino apresentou maior risco de desenvolvimento de outras doenças e de internamento decorrentes do estresse e a tendência se mostrou decrescente com maiores internações em regiões onde há o reflexo das incertezas do mercado de trabalho, bem como da precariedade das condições sociais ideais.Research, Society and Development2021-05-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1525910.33448/rsd-v10i5.15259Research, Society and Development; Vol. 10 No. 5; e51410515259Research, Society and Development; Vol. 10 Núm. 5; e51410515259Research, Society and Development; v. 10 n. 5; e514105152592525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/15259/13758Copyright (c) 2021 Ademilson José Bernardineli; Denise Tiemi Uchida; Lincoln Luis Silva; Claudia Regina Marchiori Antunes Araújo; Constanza Pujals; Sandra Marisa Pelloso; Maria Dalva Barros Carvalho ; Raíssa Bocchi Pedrosohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBernardineli, Ademilson JoséUchida, Denise Tiemi Silva, Lincoln Luis Marchiori Antunes Araújo, Claudia Regina Pujals, Constanza Pelloso, Sandra Marisa Carvalho , Maria Dalva Barros Pedroso, Raíssa Bocchi 2021-05-17T18:20:49Zoai:ojs.pkp.sfu.ca:article/15259Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:07.546287Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Hospitalizations due to stress in Southern Brazil Hospitalizaciones por estrés en el Sur de Brasil Internações por estresse no Sul do Brasil |
title |
Hospitalizations due to stress in Southern Brazil |
spellingShingle |
Hospitalizations due to stress in Southern Brazil Bernardineli, Ademilson José Mental health Brazil Stress Hospitalization. Salud mental Brasil Estrés Hospitalización. Saúde mental Brasil Estresse Internação. |
title_short |
Hospitalizations due to stress in Southern Brazil |
title_full |
Hospitalizations due to stress in Southern Brazil |
title_fullStr |
Hospitalizations due to stress in Southern Brazil |
title_full_unstemmed |
Hospitalizations due to stress in Southern Brazil |
title_sort |
Hospitalizations due to stress in Southern Brazil |
author |
Bernardineli, Ademilson José |
author_facet |
Bernardineli, Ademilson José Uchida, Denise Tiemi Silva, Lincoln Luis Marchiori Antunes Araújo, Claudia Regina Pujals, Constanza Pelloso, Sandra Marisa Carvalho , Maria Dalva Barros Pedroso, Raíssa Bocchi |
author_role |
author |
author2 |
Uchida, Denise Tiemi Silva, Lincoln Luis Marchiori Antunes Araújo, Claudia Regina Pujals, Constanza Pelloso, Sandra Marisa Carvalho , Maria Dalva Barros Pedroso, Raíssa Bocchi |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Bernardineli, Ademilson José Uchida, Denise Tiemi Silva, Lincoln Luis Marchiori Antunes Araújo, Claudia Regina Pujals, Constanza Pelloso, Sandra Marisa Carvalho , Maria Dalva Barros Pedroso, Raíssa Bocchi |
dc.subject.por.fl_str_mv |
Mental health Brazil Stress Hospitalization. Salud mental Brasil Estrés Hospitalización. Saúde mental Brasil Estresse Internação. |
topic |
Mental health Brazil Stress Hospitalization. Salud mental Brasil Estrés Hospitalización. Saúde mental Brasil Estresse Internação. |
description |
Objective: Investigate hospitalizations due to stress in the southern states of Brazil from January 2009 to December 2018. Methodology: Records were collected from the SIH / SUS (Hospital Internment System of the Unified Health System) files on the electronic platform of the Department of Informatics of the Unified Health System (DATASUS), referring to hospitalizations whose main diagnosis contained in chapter V of the ICD - 10 belonged to the category F43 “Reactions to “stress ” severe and adaptation disorders” and subcategories. The time trend was assessed by joinpoint regression (version 3.4.2.) And geospatial analysis using Quantum Gis software (QGIS), version 2.16. Results: Paraná, Santa Catarina and Rio Grande do Sul presented a downward trend with Annual Percentage Change (APC) values of -14.7, -6.2 and -15.8, respectively. The female gender was more incident, with the exception of 2013 and 2017. Separating F43 hospitalizations into subcategories, F43.0 (Acute reaction to “stress”) was the main cause of hospitalization due to stress (4.27). The spatial analysis showed 57 High-High municipalities (p <0.05). Conclusion: The data obtained suggest that with the implementation of Ordinance No. 3,088 of December 23, 2011, the number of cases per hospitalization due to stress decreased. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-15 |
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://rsdjournal.org/index.php/rsd/article/view/15259 10.33448/rsd-v10i5.15259 |
url |
https://rsdjournal.org/index.php/rsd/article/view/15259 |
identifier_str_mv |
10.33448/rsd-v10i5.15259 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/15259/13758 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
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application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 10 No. 5; e51410515259 Research, Society and Development; Vol. 10 Núm. 5; e51410515259 Research, Society and Development; v. 10 n. 5; e51410515259 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052785476239360 |