Mortality profile of women in the Northeast region of Brazil due to depression
Autor(a) principal: | |
---|---|
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/22155 |
Resumo: | Introduction: Depression is a disorder that affects over 300 million people worldwide; however, the number of women who present this disorder is alarming. Objective: To analyze the profile of women who died from some cause associated with depression in the Northeast region of Brazil during 2014-2019. Methods: We used a contingency table to summarize the variables, a correlation matrix to identify the relationships, and Principal Component Analysis to reduce dimensionality without losing information and explain these variables in terms of their components. Data collection was carried out based on data from the Mortality Information System (SIM), selecting the ICD-10 category corresponding to depressive episodes and recurrent depressive disorder (F32 and F33). The variables selected were race, marital status, and education, taking into consideration only females. The data were tabulated in Excel and analyzed using the statistical program R version 3.5.2. Results: There were 613 female deaths during this period, mainly brown and married women. Variables are strongly correlated, and hypotheses are raised: prejudice, social vulnerability, lack of social support, abusive relationship, women seek more help than men. Conclusion: The mortality profile varies according to race and marital status, with Bahia and Ceará the two states that obtained the most effective rates. Therefore, public policies, investment in prevention and promotion of quality of life, a support network for women who go through a situation considered a risk factor for a depressive condition are necessary. |
id |
UNIFEI_3abe7c54732c01db2ff43da792d28ec8 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/22155 |
network_acronym_str |
UNIFEI |
network_name_str |
Research, Society and Development |
repository_id_str |
|
spelling |
Mortality profile of women in the Northeast region of Brazil due to depression Perfil de mortalidad de las mujeres de la región Nordeste de Brasil por depresiónPerfil da mortalidade de mulheres na região Nordeste do Brasil em decorrência de depressão MortalidadeSaúde da mulherDepressão.MortalityWomen's healthDepression. MortalidadSalud de la mujerDepresión.Introduction: Depression is a disorder that affects over 300 million people worldwide; however, the number of women who present this disorder is alarming. Objective: To analyze the profile of women who died from some cause associated with depression in the Northeast region of Brazil during 2014-2019. Methods: We used a contingency table to summarize the variables, a correlation matrix to identify the relationships, and Principal Component Analysis to reduce dimensionality without losing information and explain these variables in terms of their components. Data collection was carried out based on data from the Mortality Information System (SIM), selecting the ICD-10 category corresponding to depressive episodes and recurrent depressive disorder (F32 and F33). The variables selected were race, marital status, and education, taking into consideration only females. The data were tabulated in Excel and analyzed using the statistical program R version 3.5.2. Results: There were 613 female deaths during this period, mainly brown and married women. Variables are strongly correlated, and hypotheses are raised: prejudice, social vulnerability, lack of social support, abusive relationship, women seek more help than men. Conclusion: The mortality profile varies according to race and marital status, with Bahia and Ceará the two states that obtained the most effective rates. Therefore, public policies, investment in prevention and promotion of quality of life, a support network for women who go through a situation considered a risk factor for a depressive condition are necessary.Introducción: La depresión es un trastorno que afecta a más de 300 millones de personas en todo el mundo, sin embargo, la cantidad de mujeres que padecen este trastorno es alarmante. Objetivo: Analizar el perfil de mujeres fallecidas por alguna causa asociada a depresión en la región Nordeste de Brasil, entre 2014 y 2019. Métodos: Utilizamos una tabla de contingencia para presentar un resumen de las variables, una matriz de correlación para identificar las relaciones y reducir la dimensionalidad sin perder información y explicar estas variables en términos de sus componentes, aplicamos Análisis de Componentes Principales. La recogida de datos se realizó utilizando datos del Sistema de Información de Mortalidad (SIM), seleccionando también la categoría CIE-10 correspondiente a episodios depresivos y trastorno depresivo recurrente (F32 y F33). Las variables seleccionadas fueron raza, estado civil y educación teniendo en cuenta solo a las mujeres. Los datos se tabularon en Excel y se analizaron con el programa estadístico R versión 3.5.2. Resultados: Hubo 613 muertes de mujeres durante este período, principalmente mujeres morenas y casadas. Las variables están fuertemente correlacionadas y se plantean hipótesis: prejuicio, vulnerabilidad social, falta de apoyo social, relación abusiva, las mujeres buscan más ayuda que los hombres. Conclusión: El perfil de mortalidad varía en función de la raza y el estado civil, siendo Bahía y Ceará los estados que obtienen los índices más significativos. Por tanto, son necesarias las políticas públicas, la inversión en la prevención y la promoción de la calidad de vida, y una red de apoyo para las mujeres que pasan por una situación que se considera un factor de riesgo para la depresión.Introdução: A depressão é um transtorno que afeta mais de 300 milhões de pessoas no mundo, contudo, o número de mulheres que apresentam esse transtorno é alarmante. Objetivo: Analisar o perfil de mulheres que morreram de alguma causa associada à depressão na região Nordeste do Brasil, entre 2014 a 2019. Métodos: Usamos uma tabela de contingência para apresentar um resumo das variáveis, matriz de correlação para identificação das relações e para reduzir a dimensionalidade sem perder informações e explicar essas variáveis em termos de suas componentes aplicamos a Análise de Componentes Principais. A coleta de dados foi realizada a partir dos dados do Sistema de Informação sobre Mortalidade (SIM), selecionando também a categoria do CID-10 que correspondem a episódios depressivos e transtorno depressivo recorrente (F32 e F33). As variáveis selecionadas foram raça, estado civil e escolaridade levando em consideração apenas pessoas do sexo feminino. Os dados foram tabulados no Excel e analisados no programa estatístico R versão 3.5.2. Resultados: Ocorreram 613 óbitos no sexo feminino nesse período, sendo principalmente mulheres pardas e casadas. As variáveis estão fortemente correlacionadas e hipóteses são levantadas: preconceito, vulnerabilidade social, falta de suporte social, relacionamento abusivo, mulheres procuram mais ajuda do que os homens. Conclusão: O perfil de mortalidade varia em função de raça e estado civil, sendo Bahia e Ceará os dois estados que obtiveram os índices mais significativos. Logo, se fazem necessárias políticas públicas, investimento na prevenção e promoção de qualidade de vida, rede de apoio a mulheres que passam por alguma situação que seja considerada fator de risco para um quadro depressivo.Research, Society and Development2021-11-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2215510.33448/rsd-v10i14.22155Research, Society and Development; Vol. 10 No. 14; e445101422155Research, Society and Development; Vol. 10 Núm. 14; e445101422155Research, Society and Development; v. 10 n. 14; e4451014221552525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/22155/19768Copyright (c) 2021 Maria Gabriela Pereira da Silva; Edwirde Luiz Silva Camêlo; Dalila Camêlo Aguiarhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Maria Gabriela Pereira da Camêlo, Edwirde Luiz Silva Aguiar, Dalila Camêlo2021-12-04T11:48:39Zoai:ojs.pkp.sfu.ca:article/22155Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:41:23.650505Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Mortality profile of women in the Northeast region of Brazil due to depression Perfil de mortalidad de las mujeres de la región Nordeste de Brasil por depresión Perfil da mortalidade de mulheres na região Nordeste do Brasil em decorrência de depressão |
title |
Mortality profile of women in the Northeast region of Brazil due to depression |
spellingShingle |
Mortality profile of women in the Northeast region of Brazil due to depression Silva, Maria Gabriela Pereira da Mortalidade Saúde da mulher Depressão. Mortality Women's health Depression. Mortalidad Salud de la mujer Depresión. |
title_short |
Mortality profile of women in the Northeast region of Brazil due to depression |
title_full |
Mortality profile of women in the Northeast region of Brazil due to depression |
title_fullStr |
Mortality profile of women in the Northeast region of Brazil due to depression |
title_full_unstemmed |
Mortality profile of women in the Northeast region of Brazil due to depression |
title_sort |
Mortality profile of women in the Northeast region of Brazil due to depression |
author |
Silva, Maria Gabriela Pereira da |
author_facet |
Silva, Maria Gabriela Pereira da Camêlo, Edwirde Luiz Silva Aguiar, Dalila Camêlo |
author_role |
author |
author2 |
Camêlo, Edwirde Luiz Silva Aguiar, Dalila Camêlo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Silva, Maria Gabriela Pereira da Camêlo, Edwirde Luiz Silva Aguiar, Dalila Camêlo |
dc.subject.por.fl_str_mv |
Mortalidade Saúde da mulher Depressão. Mortality Women's health Depression. Mortalidad Salud de la mujer Depresión. |
topic |
Mortalidade Saúde da mulher Depressão. Mortality Women's health Depression. Mortalidad Salud de la mujer Depresión. |
description |
Introduction: Depression is a disorder that affects over 300 million people worldwide; however, the number of women who present this disorder is alarming. Objective: To analyze the profile of women who died from some cause associated with depression in the Northeast region of Brazil during 2014-2019. Methods: We used a contingency table to summarize the variables, a correlation matrix to identify the relationships, and Principal Component Analysis to reduce dimensionality without losing information and explain these variables in terms of their components. Data collection was carried out based on data from the Mortality Information System (SIM), selecting the ICD-10 category corresponding to depressive episodes and recurrent depressive disorder (F32 and F33). The variables selected were race, marital status, and education, taking into consideration only females. The data were tabulated in Excel and analyzed using the statistical program R version 3.5.2. Results: There were 613 female deaths during this period, mainly brown and married women. Variables are strongly correlated, and hypotheses are raised: prejudice, social vulnerability, lack of social support, abusive relationship, women seek more help than men. Conclusion: The mortality profile varies according to race and marital status, with Bahia and Ceará the two states that obtained the most effective rates. Therefore, public policies, investment in prevention and promotion of quality of life, a support network for women who go through a situation considered a risk factor for a depressive condition are necessary. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-11-09 |
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/22155 10.33448/rsd-v10i14.22155 |
url |
https://rsdjournal.org/index.php/rsd/article/view/22155 |
identifier_str_mv |
10.33448/rsd-v10i14.22155 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/22155/19768 |
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 |
dc.format.none.fl_str_mv |
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. 14; e445101422155 Research, Society and Development; Vol. 10 Núm. 14; e445101422155 Research, Society and Development; v. 10 n. 14; e445101422155 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 |
_version_ |
1797052834414329856 |