Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model
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/10316/89035 https://doi.org/10.1007/s00484-019-01685-2 |
Resumo: | Cerebrovascular diseases are the leading cause of mortality in Portugal, especially when related with extreme temperatures. This study highlights the impacts of the exposure-response relationship or lagged effect of low and high temperatures on cerebrovascular mortality, which can be important to reduce the health burden from cerebrovascular diseases. The purpose of this study was to assess the effects of weather on cerebrovascular mortality, measured by ambient temperature in the District of Lisbon, Portugal. A quasi-Poisson generalized additive model combined with a distributed lag non-linear model was applied to estimate the delayed effects of temperature on cerebrovascular mortality up to 30 days. With reference to minimum mortality temperature threshold of 22 °C, there was a severe risk (RR = 2.09, 95% CI 1.74, 2.51) of mortality for a 30-day-cumulative exposure to extreme cold temperatures of 7.3 °C (1st percentile). Similarly, the cumulative effect of a 30-day exposure to an extreme hot temperature of 30 °C (99th percentile) was 52% (RR = 1.65, 95% CI 1.37, 1.98) higher than same-day exposure. Over the 13 years of study, non-linear effects of temperature on mortality were identified, and the probability of dying from cerebrovascular disease in Lisbon was 7% higher in the winter than in the summer. The findings of this study provide a baseline for future public health prevention programs on weather-related mortality. |
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Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear modelCerebrovascular diseasesDistributed lag non-linear model (DLNM)Extreme temperaturesLag effectsPortugalCerebrovascular diseases are the leading cause of mortality in Portugal, especially when related with extreme temperatures. This study highlights the impacts of the exposure-response relationship or lagged effect of low and high temperatures on cerebrovascular mortality, which can be important to reduce the health burden from cerebrovascular diseases. The purpose of this study was to assess the effects of weather on cerebrovascular mortality, measured by ambient temperature in the District of Lisbon, Portugal. A quasi-Poisson generalized additive model combined with a distributed lag non-linear model was applied to estimate the delayed effects of temperature on cerebrovascular mortality up to 30 days. With reference to minimum mortality temperature threshold of 22 °C, there was a severe risk (RR = 2.09, 95% CI 1.74, 2.51) of mortality for a 30-day-cumulative exposure to extreme cold temperatures of 7.3 °C (1st percentile). Similarly, the cumulative effect of a 30-day exposure to an extreme hot temperature of 30 °C (99th percentile) was 52% (RR = 1.65, 95% CI 1.37, 1.98) higher than same-day exposure. Over the 13 years of study, non-linear effects of temperature on mortality were identified, and the probability of dying from cerebrovascular disease in Lisbon was 7% higher in the winter than in the summer. The findings of this study provide a baseline for future public health prevention programs on weather-related mortality.Springer2019-02-23info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/89035http://hdl.handle.net/10316/89035https://doi.org/10.1007/s00484-019-01685-2eng0020-71281432-1254https://link.springer.com/article/10.1007%2Fs00484-019-01685-2Rodrigues, Mónica Alexandra dos Santos RodriguesRodrigues, Ana Paula SantanaRocha, Alfredoinfo: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:RCAAP2020-05-25T05:32:58Zoai:estudogeral.uc.pt:10316/89035Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:09:28.830565Repositório 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 |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model |
title |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model |
spellingShingle |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model Rodrigues, Mónica Alexandra dos Santos Rodrigues Cerebrovascular diseases Distributed lag non-linear model (DLNM) Extreme temperatures Lag effects Portugal |
title_short |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model |
title_full |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model |
title_fullStr |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model |
title_full_unstemmed |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model |
title_sort |
Effects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear model |
author |
Rodrigues, Mónica Alexandra dos Santos Rodrigues |
author_facet |
Rodrigues, Mónica Alexandra dos Santos Rodrigues Rodrigues, Ana Paula Santana Rocha, Alfredo |
author_role |
author |
author2 |
Rodrigues, Ana Paula Santana Rocha, Alfredo |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Rodrigues, Mónica Alexandra dos Santos Rodrigues Rodrigues, Ana Paula Santana Rocha, Alfredo |
dc.subject.por.fl_str_mv |
Cerebrovascular diseases Distributed lag non-linear model (DLNM) Extreme temperatures Lag effects Portugal |
topic |
Cerebrovascular diseases Distributed lag non-linear model (DLNM) Extreme temperatures Lag effects Portugal |
description |
Cerebrovascular diseases are the leading cause of mortality in Portugal, especially when related with extreme temperatures. This study highlights the impacts of the exposure-response relationship or lagged effect of low and high temperatures on cerebrovascular mortality, which can be important to reduce the health burden from cerebrovascular diseases. The purpose of this study was to assess the effects of weather on cerebrovascular mortality, measured by ambient temperature in the District of Lisbon, Portugal. A quasi-Poisson generalized additive model combined with a distributed lag non-linear model was applied to estimate the delayed effects of temperature on cerebrovascular mortality up to 30 days. With reference to minimum mortality temperature threshold of 22 °C, there was a severe risk (RR = 2.09, 95% CI 1.74, 2.51) of mortality for a 30-day-cumulative exposure to extreme cold temperatures of 7.3 °C (1st percentile). Similarly, the cumulative effect of a 30-day exposure to an extreme hot temperature of 30 °C (99th percentile) was 52% (RR = 1.65, 95% CI 1.37, 1.98) higher than same-day exposure. Over the 13 years of study, non-linear effects of temperature on mortality were identified, and the probability of dying from cerebrovascular disease in Lisbon was 7% higher in the winter than in the summer. The findings of this study provide a baseline for future public health prevention programs on weather-related mortality. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-02-23 |
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/10316/89035 http://hdl.handle.net/10316/89035 https://doi.org/10.1007/s00484-019-01685-2 |
url |
http://hdl.handle.net/10316/89035 https://doi.org/10.1007/s00484-019-01685-2 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0020-7128 1432-1254 https://link.springer.com/article/10.1007%2Fs00484-019-01685-2 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
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 |
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1799133988978163712 |