Covid-19 in Brazil: stress as predictor of depression
Autor(a) principal: | |
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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. |
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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 |
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SciELO |
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SCI |
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SCI |
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SciELO Preprints |
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SciELO Preprints |
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SciELO Preprints - SciELO |
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scielo.submission@scielo.org |
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1797047819960320000 |