Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon
Autor(a) principal: | |
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Data de Publicação: | 2019 |
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/10451/43754 |
Resumo: | Background: Individuals with mental disorders are often susceptible to the effects of extreme ambient temperatures. The aim of this study is to assess the short-term impacts of daily mean temperature on hospitalizations for mental disorders in the Lisbon Metropolitan Area, Portugal. Methods: To assess the short-term impacts of daily mean temperature on hospitalizations for mental disorders (2008–2014), a quasi-Poisson generalized additive model combined with a distributed lag non-linear model was applied. The model was adjusted for day of the week, air pollution, relative humidity, time and seasonality. Results: The number of hospital admissions for mental disorder during the study period was 30,139. Hospital admissions increase significantly with high temperatures on day of exposure, at lag 0–1 and at lag 0–2.Women are more vulnerable than men, and there was no difference between the age groups studied. Conclusions: The exposure to high temperatures should be considered a significant risk factor for mental disorders; therefore, patient management services may need to be strengthened when extreme high temperature alerts are given. |
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Short-term impacts of air temperature on hospitalizations for mental disorders in LisbonAir PollutantsAir PollutionEnvironmental ExposureFemaleHospitalizationHumansMaleMental DisordersPortugalTemperatureBackground: Individuals with mental disorders are often susceptible to the effects of extreme ambient temperatures. The aim of this study is to assess the short-term impacts of daily mean temperature on hospitalizations for mental disorders in the Lisbon Metropolitan Area, Portugal. Methods: To assess the short-term impacts of daily mean temperature on hospitalizations for mental disorders (2008–2014), a quasi-Poisson generalized additive model combined with a distributed lag non-linear model was applied. The model was adjusted for day of the week, air pollution, relative humidity, time and seasonality. Results: The number of hospital admissions for mental disorder during the study period was 30,139. Hospital admissions increase significantly with high temperatures on day of exposure, at lag 0–1 and at lag 0–2.Women are more vulnerable than men, and there was no difference between the age groups studied. Conclusions: The exposure to high temperatures should be considered a significant risk factor for mental disorders; therefore, patient management services may need to be strengthened when extreme high temperature alerts are given.ElsevierRepositório da Universidade de LisboaAlmendra, RicardoLoureiro, AdrianaSilva, GiovaniVasconcelos, JoãoSantana, Paula2020-06-01T10:13:24Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/43754eng0048-969710.1016/j.scitotenv.2018.07.337metadata only accessinfo: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:RCAAP2023-11-08T16:44:22Zoai:repositorio.ul.pt:10451/43754Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:56:29.033598Repositório 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 |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon |
title |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon |
spellingShingle |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon Almendra, Ricardo Air Pollutants Air Pollution Environmental Exposure Female Hospitalization Humans Male Mental Disorders Portugal Temperature |
title_short |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon |
title_full |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon |
title_fullStr |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon |
title_full_unstemmed |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon |
title_sort |
Short-term impacts of air temperature on hospitalizations for mental disorders in Lisbon |
author |
Almendra, Ricardo |
author_facet |
Almendra, Ricardo Loureiro, Adriana Silva, Giovani Vasconcelos, João Santana, Paula |
author_role |
author |
author2 |
Loureiro, Adriana Silva, Giovani Vasconcelos, João Santana, Paula |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Almendra, Ricardo Loureiro, Adriana Silva, Giovani Vasconcelos, João Santana, Paula |
dc.subject.por.fl_str_mv |
Air Pollutants Air Pollution Environmental Exposure Female Hospitalization Humans Male Mental Disorders Portugal Temperature |
topic |
Air Pollutants Air Pollution Environmental Exposure Female Hospitalization Humans Male Mental Disorders Portugal Temperature |
description |
Background: Individuals with mental disorders are often susceptible to the effects of extreme ambient temperatures. The aim of this study is to assess the short-term impacts of daily mean temperature on hospitalizations for mental disorders in the Lisbon Metropolitan Area, Portugal. Methods: To assess the short-term impacts of daily mean temperature on hospitalizations for mental disorders (2008–2014), a quasi-Poisson generalized additive model combined with a distributed lag non-linear model was applied. The model was adjusted for day of the week, air pollution, relative humidity, time and seasonality. Results: The number of hospital admissions for mental disorder during the study period was 30,139. Hospital admissions increase significantly with high temperatures on day of exposure, at lag 0–1 and at lag 0–2.Women are more vulnerable than men, and there was no difference between the age groups studied. Conclusions: The exposure to high temperatures should be considered a significant risk factor for mental disorders; therefore, patient management services may need to be strengthened when extreme high temperature alerts are given. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2019-01-01T00:00:00Z 2020-06-01T10:13:24Z |
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/10451/43754 |
url |
http://hdl.handle.net/10451/43754 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0048-9697 10.1016/j.scitotenv.2018.07.337 |
dc.rights.driver.fl_str_mv |
metadata only access info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
metadata only access |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
instacron_str |
RCAAP |
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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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799134507042865152 |