Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956

Detalhes bibliográficos
Ano de defesa: 2023
Autor(a) principal: Oliveira, Renata Rocha de
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
dARK ID: ark:/26339/001300000w7fm
Idioma: por
Instituição de defesa: Universidade Federal de Santa Maria
Brasil
Administração
UFSM
Programa de Pós-Graduação em Administração
Centro de Ciências Sociais e Humanas
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://repositorio.ufsm.br/handle/1/29439
Resumo: Domestic work, in its slave history, encompassed by burdens, discrimination, abuse and invisibility, continues, even after 135 years of the abolition of slavery, in conditions far below expectations, triggering diseases such as the stress studied by Hans Selye, in 1956. The theory of Selye's Stress and its phases, alarm reaction (anxiety) and resistance phase (depression), lead many domestic workers to withdraw from activities temporarily or permanently. To this end, this thesis had as its main objective to study social security indicators in two moments, before and during the Covid-19 pandemic in domestic workers, using Social Security data and based on Selye's theory. Regarding the method, as it is a quantitative research, the collection took place in a secondary way – which are included in the Social Security database -, as well as the transformation of qualitative indicators into ranks, with non-parametric statistics. The population consisted of all domestic workers who obtained benefits granted by Social Security, as a form of maintenance assistance while they remained ill. A study of panel data using a pooled model was applied as a strategy, with the cut-off point in the month of enactment of Decree nº. 6 of March 2020, analyzing the existence, or not, of reflexes before or during the pandemic, in each one of the social security indicators in the study. In this way, a total of 12,118 observations were obtained, in which 12 statistical panel models were generated, capable of describing the behavior of the indicators, according to the occupational disease, in general and for separate periods. As a result of the models found, the occupational disease that stood out was depression, with three consistent models (general, before the pandemic and during the pandemic), which include the largest number of indicators among all models. Thus, it can be concluded that depression (2nd phase of the General Adaptation Syndrome - SGA) is the disease that most affected and still affects domestic workers throughout Brazil, impacted by the pandemic with job losses, discrimination, devaluation and remaining to be ignored by society and government.
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spelling Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956Social security indicators before and during the pandemic in domestic workers based on the 1956 Seyle stress theoryTrabalhadores domésticosIndicadores previdenciáriosStress de SelyePandemia de Covid-19Modelos estatísticosDomestic workersSocial security IndicatorsCovid-19 pandemicStatistical modelsCNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAODomestic work, in its slave history, encompassed by burdens, discrimination, abuse and invisibility, continues, even after 135 years of the abolition of slavery, in conditions far below expectations, triggering diseases such as the stress studied by Hans Selye, in 1956. The theory of Selye's Stress and its phases, alarm reaction (anxiety) and resistance phase (depression), lead many domestic workers to withdraw from activities temporarily or permanently. To this end, this thesis had as its main objective to study social security indicators in two moments, before and during the Covid-19 pandemic in domestic workers, using Social Security data and based on Selye's theory. Regarding the method, as it is a quantitative research, the collection took place in a secondary way – which are included in the Social Security database -, as well as the transformation of qualitative indicators into ranks, with non-parametric statistics. The population consisted of all domestic workers who obtained benefits granted by Social Security, as a form of maintenance assistance while they remained ill. A study of panel data using a pooled model was applied as a strategy, with the cut-off point in the month of enactment of Decree nº. 6 of March 2020, analyzing the existence, or not, of reflexes before or during the pandemic, in each one of the social security indicators in the study. In this way, a total of 12,118 observations were obtained, in which 12 statistical panel models were generated, capable of describing the behavior of the indicators, according to the occupational disease, in general and for separate periods. As a result of the models found, the occupational disease that stood out was depression, with three consistent models (general, before the pandemic and during the pandemic), which include the largest number of indicators among all models. Thus, it can be concluded that depression (2nd phase of the General Adaptation Syndrome - SGA) is the disease that most affected and still affects domestic workers throughout Brazil, impacted by the pandemic with job losses, discrimination, devaluation and remaining to be ignored by society and government.O trabalho doméstico em sua história escravocrata abarcada de fardos, de discriminações, abusos e invisibilidade, continua, mesmo após 135 anos da abolição da escravidão, em condições muito abaixo do esperado, desencadeando doenças como o stress estudado por Hans Selye, em 1956. A teoria do Stress de Selye e suas fases, reação de alarme (Ansiedade) e fase de resistência (Depressão), levam muitos trabalhadores domésticos a se afastarem das atividades temporária ou permanentemente. Para tal, essa tese teve por objetivo principal estudar os indicadores previdenciários em dois momentos, antes e durante a pandemia de Covid-19 em trabalhadores domésticos, se utilizando de dados da Previdência Social e fundamentada na teoria de Selye. Com relação ao método, por ser uma pesquisa quantitativa, a coleta se deu de forma secundária – que constam na base de dados da Previdência Social, bem como a transformação dos indicadores qualitativos para postos, com estatística não paramétrica. A população foi composta por todos os trabalhadores domésticos obtiveram benefícios concedidos pela Previdência, como forma de auxílio mantenedor enquanto permanecem doentes. Aplicou-se um estudo de dados em painel por modelo pooled como estratégia, tendo ponto de corte no mês de promulgação do Decreto nº. 6 de março de 2020, analisando a existência, ou não, de reflexos antes ou durante a pandemia, em cada um dos indicadores previdenciários do estudo. Dessa forma, obteve-se um total de 12.118 observações, em que foram gerados 12 modelos estatísticos de painel capazes de descrever o comportamento dos indicadores, conforme a doença ocupacional, de maneira geral e por períodos em separado. Como resultados dos modelos encontrados, a doença ocupacional que se destacou foi a Depressão, com três modelos consistentes (geral, antes da pandemia e durante a pandemia), os quais contemplam o maior número de indicadores dentre todos os modelos. Assim, pode-se concluir que a Depressão (2ª fase da Síndrome Geral de Adaptação - SGA) é a doença que mais afetou e afeta os trabalhadores domésticos em todo o Brasil, impactados pela pandemia com a perda de empregos, discriminação, desvalorização e permanecendo a serem ignorados pela sociedade e governo.Universidade Federal de Santa MariaBrasilAdministraçãoUFSMPrograma de Pós-Graduação em AdministraçãoCentro de Ciências Sociais e HumanasLopes, Luis Felipe Diashttp://lattes.cnpq.br/1074372911061770Costa, Vânia Medianeira FloresLisowski, Carolina SalbegoPozzer, Ranice Hoehr PedrazziCamargo, Maria EmiliaMoura, Gilnei Luiz deOliveira, Renata Rocha de2023-06-15T15:36:41Z2023-06-15T15:36:41Z2023-02-24info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://repositorio.ufsm.br/handle/1/29439ark:/26339/001300000w7fmporAttribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccessreponame:Manancial - Repositório Digital da UFSMinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM2023-06-15T15:36:41Zoai:repositorio.ufsm.br:1/29439Biblioteca Digital de Teses e Dissertaçõeshttps://repositorio.ufsm.br/PUBhttps://repositorio.ufsm.br/oai/requestatendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.bropendoar:2023-06-15T15:36:41Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
Social security indicators before and during the pandemic in domestic workers based on the 1956 Seyle stress theory
title Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
spellingShingle Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
Oliveira, Renata Rocha de
Trabalhadores domésticos
Indicadores previdenciários
Stress de Selye
Pandemia de Covid-19
Modelos estatísticos
Domestic workers
Social security Indicators
Covid-19 pandemic
Statistical models
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
title_short Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
title_full Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
title_fullStr Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
title_full_unstemmed Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
title_sort Indicadores previdenciários antes e durante a pandemia em trabalhadores domésticos com base na teoria de stress de Seyle de 1956
author Oliveira, Renata Rocha de
author_facet Oliveira, Renata Rocha de
author_role author
dc.contributor.none.fl_str_mv Lopes, Luis Felipe Dias
http://lattes.cnpq.br/1074372911061770
Costa, Vânia Medianeira Flores
Lisowski, Carolina Salbego
Pozzer, Ranice Hoehr Pedrazzi
Camargo, Maria Emilia
Moura, Gilnei Luiz de
dc.contributor.author.fl_str_mv Oliveira, Renata Rocha de
dc.subject.por.fl_str_mv Trabalhadores domésticos
Indicadores previdenciários
Stress de Selye
Pandemia de Covid-19
Modelos estatísticos
Domestic workers
Social security Indicators
Covid-19 pandemic
Statistical models
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
topic Trabalhadores domésticos
Indicadores previdenciários
Stress de Selye
Pandemia de Covid-19
Modelos estatísticos
Domestic workers
Social security Indicators
Covid-19 pandemic
Statistical models
CNPQ::CIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
description Domestic work, in its slave history, encompassed by burdens, discrimination, abuse and invisibility, continues, even after 135 years of the abolition of slavery, in conditions far below expectations, triggering diseases such as the stress studied by Hans Selye, in 1956. The theory of Selye's Stress and its phases, alarm reaction (anxiety) and resistance phase (depression), lead many domestic workers to withdraw from activities temporarily or permanently. To this end, this thesis had as its main objective to study social security indicators in two moments, before and during the Covid-19 pandemic in domestic workers, using Social Security data and based on Selye's theory. Regarding the method, as it is a quantitative research, the collection took place in a secondary way – which are included in the Social Security database -, as well as the transformation of qualitative indicators into ranks, with non-parametric statistics. The population consisted of all domestic workers who obtained benefits granted by Social Security, as a form of maintenance assistance while they remained ill. A study of panel data using a pooled model was applied as a strategy, with the cut-off point in the month of enactment of Decree nº. 6 of March 2020, analyzing the existence, or not, of reflexes before or during the pandemic, in each one of the social security indicators in the study. In this way, a total of 12,118 observations were obtained, in which 12 statistical panel models were generated, capable of describing the behavior of the indicators, according to the occupational disease, in general and for separate periods. As a result of the models found, the occupational disease that stood out was depression, with three consistent models (general, before the pandemic and during the pandemic), which include the largest number of indicators among all models. Thus, it can be concluded that depression (2nd phase of the General Adaptation Syndrome - SGA) is the disease that most affected and still affects domestic workers throughout Brazil, impacted by the pandemic with job losses, discrimination, devaluation and remaining to be ignored by society and government.
publishDate 2023
dc.date.none.fl_str_mv 2023-06-15T15:36:41Z
2023-06-15T15:36:41Z
2023-02-24
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dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 International
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Administração
UFSM
Programa de Pós-Graduação em Administração
Centro de Ciências Sociais e Humanas
publisher.none.fl_str_mv Universidade Federal de Santa Maria
Brasil
Administração
UFSM
Programa de Pós-Graduação em Administração
Centro de Ciências Sociais e Humanas
dc.source.none.fl_str_mv reponame:Manancial - Repositório Digital da UFSM
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Manancial - Repositório Digital da UFSM
collection Manancial - Repositório Digital da UFSM
repository.name.fl_str_mv Manancial - Repositório Digital da UFSM - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv atendimento.sib@ufsm.br||tedebc@gmail.com||manancial@ufsm.br
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