Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/89035
DC FieldValueLanguage
dc.contributor.authorRodrigues, Mónica Alexandra dos Santos Rodrigues-
dc.contributor.authorRodrigues, Ana Paula Santana-
dc.contributor.authorRocha, Alfredo-
dc.date.accessioned2020-03-23T09:42:35Z-
dc.date.available2020-03-23T09:42:35Z-
dc.date.issued2019-02-23-
dc.identifier.issn0020-7128pt
dc.identifier.issn1432-1254pt
dc.identifier.urihttp://hdl.handle.net/10316/89035-
dc.description.abstractCerebrovascular 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.pt
dc.language.isoengpt
dc.publisherSpringerpt
dc.relationPOCI-01-0145-FEDER-006891pt
dc.relationrefª FCT: UID/GEO/04084/2013pt
dc.rightsembargoedAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt
dc.subjectCerebrovascular diseasespt
dc.subjectDistributed lag non-linear model (DLNM)pt
dc.subjectExtreme temperaturespt
dc.subjectLag effectspt
dc.subjectPortugalpt
dc.titleEffects of extreme temperatures on cerebrovascular mortality in Lisbon: a distributed lag non-linear modelpt
dc.typearticleen
degois.publication.firstPage549pt
degois.publication.lastPage559pt
degois.publication.issue4pt
degois.publication.titleInternational Journal of Biometeorologypt
dc.relation.publisherversionhttps://link.springer.com/article/10.1007%2Fs00484-019-01685-2pt
dc.peerreviewedyespt
dc.identifier.doi10.1007/s00484-019-01685-2pt
degois.publication.volume63pt
dc.date.embargo2021-02-22*
uc.date.periodoEmbargo730pt
item.fulltextCom Texto completo-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.deptFaculty of Arts and Humanities-
crisitem.author.researchunitCEGOT – Centre of Studies on Geography and Spatial Planning-
crisitem.author.researchunitCEGOT – Centre of Studies on Geography and Spatial Planning-
crisitem.author.orcid0000-0002-2649-6433-
crisitem.author.orcid0000-0002-7658-8475-
Appears in Collections:I&D CEGOT - Artigos em Revistas Internacionais
Files in This Item:
File Description SizeFormat
Effects of extreme temperatures on cerebrovascular mortality in Lisbon.pdf995.58 kBAdobe PDFView/Open
Show simple item record

SCOPUSTM   
Citations

6
checked on May 29, 2020

WEB OF SCIENCETM
Citations 10

14
checked on Jul 2, 2021

Page view(s)

136
checked on Jul 27, 2021

Download(s)

46
checked on Jul 27, 2021

Google ScholarTM

Check

Altmetric

Altmetric


This item is licensed under a Creative Commons License Creative Commons