Covid-19 in Brazil: stress as predictor of depression

Detalhes bibliográficos
Autor(a) principal: Silva, Washington Allysson Dantas
Data de Publicação: 2020
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/1132
Resumo: Studies about mental health have been demonstrating the increase of stress and depression of people around the world during the 2019-nCoV pandemic. In Brazil, even with these indicators, it is not clear how these psychological factors may be related. To fill this gap, we analyzed the stress and depression levels of Brazilians, and we established a predictive model among the constructs. Participants were 480 adults from different regions of Brazil, aged between 18 and 65 years, major female (77.3%). The levels of stress and depression in the sample were moderate. Also, the stress of COVID-19 showed as a good predictor of depression, so that the more people felt stressed in front of the subject greater was the probability of presenting depressive symptoms. Given this, we discuss the importance of maintaining the mental health of the population.
id SCI-1_f420d8a75ca2070e9412225b969706cf
oai_identifier_str oai:ops.preprints.scielo.org:preprint/1132
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling Covid-19 in Brazil: stress as predictor of depressionCovid-19 en Brasil:el estrés como predictor de depresiónCovid-19 no Brasil: estresse como preditor da depressãoEstresseDepressão´PrediçãoCOVID-19StressDepressionPredictionCOVID-19EstrésDepresiónPredicciónCOVID-19Studies about mental health have been demonstrating the increase of stress and depression of people around the world during the 2019-nCoV pandemic. In Brazil, even with these indicators, it is not clear how these psychological factors may be related. To fill this gap, we analyzed the stress and depression levels of Brazilians, and we established a predictive model among the constructs. Participants were 480 adults from different regions of Brazil, aged between 18 and 65 years, major female (77.3%). The levels of stress and depression in the sample were moderate. Also, the stress of COVID-19 showed as a good predictor of depression, so that the more people felt stressed in front of the subject greater was the probability of presenting depressive symptoms. Given this, we discuss the importance of maintaining the mental health of the population.Los estudios de salud mental han demostrado que los niveles de estrés y depresión de las personas en todo el mundo han aumentado durante la pandemia de COVID-19. En Brasil, incluso con tales indicadores, aún no está claro cómo se pueden relacionar estos factores psicológicos. Para llenar este vacío, buscamos analizar los niveles de estrés y depresión de los brasileños, así como establecer un modelo predictivo entre las construcciones. Participaron 480 personas adultas de diferentes regiones de Brasil, con edades entre 18 y 65 años, la mayoría mujeres (77,3%). Los niveles de estrés y depresión fueron moderados. Además, se demostró que el estrés en relación con COVID-19 es un buen predictor de depresión, por lo que mientras más personas se sientan estresadas por el tema, mayor será la probabilidad de experimentar síntomas depresivos. Por lo tanto, se discute la importancia de mantener la salud mental de la población.Os estudos sobre saúde mental têm demonstrado que os níveis de estresse e de depressão das pessoas ao redor do mundo vem aumentando durante a pandemia da COVID-19. No Brasil, mesmo com tais indicadores, ainda não está claro como esses fatores psicológicos podem estar relacionados. Para preencher essa lacuna, buscou-se analisou os níveis de estresse e depressão dos brasileiros, bem como visou estabelecer um modelo preditivo entre os construtos. Participaram 480 pessoas adultas de diferentes regiões do Brasil, com idades entre 18 e 65 anos, sendo a maioria do sexo feminino (77,3%). Os níveis de estresse e depressão dos participantes foram moderados. Além disso, o estresse frente à COVID-19 apresentou-se como um bom preditor da depressão, de modo que quanto mais as pessoas se sentiram estressadas diante do tema, maior era a probabilidade de apresentarem sintomas depressivos. Diante disso, discute-se sobre a importância da manutenção da saúde mental da população.SciELO PreprintsSciELO PreprintsSciELO Preprints2020-08-24info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/113210.1590/SciELOPreprints.1132porhttps://preprints.scielo.org/index.php/scielo/article/view/1132/1691Copyright (c) 2020 Washington Allysson Dantas Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Washington Allysson Dantasreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2020-08-21T21:27:24Zoai:ops.preprints.scielo.org:preprint/1132Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2020-08-21T21:27:24SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv Covid-19 in Brazil: stress as predictor of depression
Covid-19 en Brasil:el estrés como predictor de depresión
Covid-19 no Brasil: estresse como preditor da depressão
title Covid-19 in Brazil: stress as predictor of depression
spellingShingle Covid-19 in Brazil: stress as predictor of depression
Silva, Washington Allysson Dantas
Estresse
Depressão
´Predição
COVID-19
Stress
Depression
Prediction
COVID-19
Estrés
Depresión
Predicción
COVID-19
title_short Covid-19 in Brazil: stress as predictor of depression
title_full Covid-19 in Brazil: stress as predictor of depression
title_fullStr Covid-19 in Brazil: stress as predictor of depression
title_full_unstemmed Covid-19 in Brazil: stress as predictor of depression
title_sort Covid-19 in Brazil: stress as predictor of depression
author Silva, Washington Allysson Dantas
author_facet Silva, Washington Allysson Dantas
author_role author
dc.contributor.author.fl_str_mv Silva, Washington Allysson Dantas
dc.subject.por.fl_str_mv Estresse
Depressão
´Predição
COVID-19
Stress
Depression
Prediction
COVID-19
Estrés
Depresión
Predicción
COVID-19
topic Estresse
Depressão
´Predição
COVID-19
Stress
Depression
Prediction
COVID-19
Estrés
Depresión
Predicción
COVID-19
description Studies about mental health have been demonstrating the increase of stress and depression of people around the world during the 2019-nCoV pandemic. In Brazil, even with these indicators, it is not clear how these psychological factors may be related. To fill this gap, we analyzed the stress and depression levels of Brazilians, and we established a predictive model among the constructs. Participants were 480 adults from different regions of Brazil, aged between 18 and 65 years, major female (77.3%). The levels of stress and depression in the sample were moderate. Also, the stress of COVID-19 showed as a good predictor of depression, so that the more people felt stressed in front of the subject greater was the probability of presenting depressive symptoms. Given this, we discuss the importance of maintaining the mental health of the population.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-24
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/1132
10.1590/SciELOPreprints.1132
url https://preprints.scielo.org/index.php/scielo/preprint/view/1132
identifier_str_mv 10.1590/SciELOPreprints.1132
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/1132/1691
dc.rights.driver.fl_str_mv Copyright (c) 2020 Washington Allysson Dantas Silva
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Washington Allysson Dantas Silva
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 SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047819960320000

Registros relacionados