The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10451/62421 |
Resumo: | The COVID-19 pandemic substantially impacted the mental health of the general population and particularly vulnerable individuals and groups. A wealth of research allows for estimating this impact and identifying relevant factors contributing to or mitigating it. The current paper presents and synthesizes this evidence into a multiaxial model of COVID-19 mental health impacts. Based on existing research, we propose four axes: (1) Exposure to COVID-related events; (2) Personal and social vulnerability, such as previous mental health problems or belonging to a vulnerable group; (3) Time, which accounts for the differential impacts throughout the development of the pandemic; and (4) Context, including healthcare and public policies, and social representations of the illness influencing individual emotional reactions and relevant behaviors. These axes help acknowledge the complexity of communities’ reactions and are pragmatic in identifying and prioritizing factors. The axes can provide individual information (i.e., more exposure is harmful) and account for interactions (e.g., exposure in an early phase of the pandemic differs from a later stage). This model contributes to the reflections of the evidence and informs the mental health response to the next pandemic. |
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The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19COVID-19PandemicMental healthPublic healthThe COVID-19 pandemic substantially impacted the mental health of the general population and particularly vulnerable individuals and groups. A wealth of research allows for estimating this impact and identifying relevant factors contributing to or mitigating it. The current paper presents and synthesizes this evidence into a multiaxial model of COVID-19 mental health impacts. Based on existing research, we propose four axes: (1) Exposure to COVID-related events; (2) Personal and social vulnerability, such as previous mental health problems or belonging to a vulnerable group; (3) Time, which accounts for the differential impacts throughout the development of the pandemic; and (4) Context, including healthcare and public policies, and social representations of the illness influencing individual emotional reactions and relevant behaviors. These axes help acknowledge the complexity of communities’ reactions and are pragmatic in identifying and prioritizing factors. The axes can provide individual information (i.e., more exposure is harmful) and account for interactions (e.g., exposure in an early phase of the pandemic differs from a later stage). This model contributes to the reflections of the evidence and informs the mental health response to the next pandemic.MDPIRepositório da Universidade de LisboaNeto, David DiasSilva, Ana Nunes Da2024-02-02T11:49:52Z2023-11-082024-01-25T16:51:23Z2023-11-08T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/62421engNeto, D. D., & Silva, A. N. (2023). The mental health impacts of a pandemic: A multiaxial conceptual model for COVID-19. Behavioral Sciences, 13(11), 912. https//doi.org/10.3390/bs13110912cv-prod-351105010.3390/bs13110912info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-20T18:27:11Zoai:repositorio.ul.pt:10451/62421Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T18:27:11Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 |
title |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 |
spellingShingle |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 Neto, David Dias COVID-19 Pandemic Mental health Public health |
title_short |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 |
title_full |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 |
title_fullStr |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 |
title_full_unstemmed |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 |
title_sort |
The Mental Health Impacts of a Pandemic: A Multiaxial Conceptual Model for COVID-19 |
author |
Neto, David Dias |
author_facet |
Neto, David Dias Silva, Ana Nunes Da |
author_role |
author |
author2 |
Silva, Ana Nunes Da |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Neto, David Dias Silva, Ana Nunes Da |
dc.subject.por.fl_str_mv |
COVID-19 Pandemic Mental health Public health |
topic |
COVID-19 Pandemic Mental health Public health |
description |
The COVID-19 pandemic substantially impacted the mental health of the general population and particularly vulnerable individuals and groups. A wealth of research allows for estimating this impact and identifying relevant factors contributing to or mitigating it. The current paper presents and synthesizes this evidence into a multiaxial model of COVID-19 mental health impacts. Based on existing research, we propose four axes: (1) Exposure to COVID-related events; (2) Personal and social vulnerability, such as previous mental health problems or belonging to a vulnerable group; (3) Time, which accounts for the differential impacts throughout the development of the pandemic; and (4) Context, including healthcare and public policies, and social representations of the illness influencing individual emotional reactions and relevant behaviors. These axes help acknowledge the complexity of communities’ reactions and are pragmatic in identifying and prioritizing factors. The axes can provide individual information (i.e., more exposure is harmful) and account for interactions (e.g., exposure in an early phase of the pandemic differs from a later stage). This model contributes to the reflections of the evidence and informs the mental health response to the next pandemic. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-11-08 2023-11-08T00:00:00Z 2024-02-02T11:49:52Z 2024-01-25T16:51:23Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10451/62421 |
url |
http://hdl.handle.net/10451/62421 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Neto, D. D., & Silva, A. N. (2023). The mental health impacts of a pandemic: A multiaxial conceptual model for COVID-19. Behavioral Sciences, 13(11), 912. https//doi.org/10.3390/bs13110912 cv-prod-3511050 10.3390/bs13110912 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817549271082205184 |