Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design

Numerous studies have demonstrated the relationship between summer temperatures and increased heat-related deaths. Epidemiological analyses of the health effects of climate exposures usually rely on observations from the nearest weather station to assess exposure-response associations for geographic...

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Autores: Ingole, Vijendra, Marí Dell'Olmo, Marc, 1978-, Deluca, Anna, Quijal-Zamorano, Marcos, Borrell i Thió, Carme, Rodríguez Sanz, Maica, 1974-, Achebak, Hicham, Lauwaet, Dirk, Gilabert, Joan, Murage, Peninah, Hajat, Shakoor, Basagaña Flores, Xavier, Ballester, Joan
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/46577
Acceso en línea:http://hdl.handle.net/10230/46577
http://dx.doi.org/10.3390/ijerph17072553
Access Level:acceso abierto
Palabra clave:UrbClim
Heat-related mortality
Spatial analysis
Summer extreme heat
Urban heat island effect
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oai_identifier_str oai:recercat.cat:10230/46577
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
title Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
spellingShingle Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
Ingole, Vijendra
UrbClim
Heat-related mortality
Spatial analysis
Summer extreme heat
Urban heat island effect
title_short Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
title_full Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
title_fullStr Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
title_full_unstemmed Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
title_sort Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study design
dc.creator.none.fl_str_mv Ingole, Vijendra
Marí Dell'Olmo, Marc, 1978-
Deluca, Anna
Quijal-Zamorano, Marcos
Borrell i Thió, Carme
Rodríguez Sanz, Maica, 1974-
Achebak, Hicham
Lauwaet, Dirk
Gilabert, Joan
Murage, Peninah
Hajat, Shakoor
Basagaña Flores, Xavier
Ballester, Joan
author Ingole, Vijendra
author_facet Ingole, Vijendra
Marí Dell'Olmo, Marc, 1978-
Deluca, Anna
Quijal-Zamorano, Marcos
Borrell i Thió, Carme
Rodríguez Sanz, Maica, 1974-
Achebak, Hicham
Lauwaet, Dirk
Gilabert, Joan
Murage, Peninah
Hajat, Shakoor
Basagaña Flores, Xavier
Ballester, Joan
author_role author
author2 Marí Dell'Olmo, Marc, 1978-
Deluca, Anna
Quijal-Zamorano, Marcos
Borrell i Thió, Carme
Rodríguez Sanz, Maica, 1974-
Achebak, Hicham
Lauwaet, Dirk
Gilabert, Joan
Murage, Peninah
Hajat, Shakoor
Basagaña Flores, Xavier
Ballester, Joan
author2_role author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv UrbClim
Heat-related mortality
Spatial analysis
Summer extreme heat
Urban heat island effect
topic UrbClim
Heat-related mortality
Spatial analysis
Summer extreme heat
Urban heat island effect
description Numerous studies have demonstrated the relationship between summer temperatures and increased heat-related deaths. Epidemiological analyses of the health effects of climate exposures usually rely on observations from the nearest weather station to assess exposure-response associations for geographically diverse populations. Urban climate models provide high-resolution spatial data that may potentially improve exposure estimates, but to date, they have not been extensively applied in epidemiological research. We investigated temperature-mortality relationships in the city of Barcelona, and whether estimates vary among districts. We considered georeferenced individual (natural) mortality data during the summer months (June-September) for the period 1992-2015. We extracted daily summer mean temperatures from a 100-m resolution simulation of the urban climate model (UrbClim). Summer hot days (above percentile 70) and reference (below percentile 30) temperatures were compared by using a conditional logistic regression model in a case crossover study design applied to all districts of Barcelona. Relative Risks (RR), and 95% Confidence Intervals (CI), of all-cause (natural) mortality and summer temperature were calculated for several population subgroups (age, sex and education level by districts). Hot days were associated with an increased risk of death (RR = 1.13; 95% CI = 1.10-1.16) and were significant in all population subgroups compared to the non-hot days. The risk ratio was higher among women (RR = 1.16; 95% CI= 1.12-1.21) and the elderly (RR = 1.18; 95% CI = 1.13-1.22). Individuals with primary education had similar risk (RR = 1.13; 95% CI = 1.08-1.18) than those without education (RR = 1.10; 95% CI= 1.05-1.15). Moreover, 6 out of 10 districts showed statistically significant associations, varying the risk ratio between 1.12 (95% CI = 1.03-1.21) in Sants-Montjuïc and 1.25 (95% CI = 1.14-1.38) in Sant Andreu. Findings identified vulnerable districts and suggested new insights to public health policy makers on how to develop district-specific strategies to reduce risks.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/46577
http://dx.doi.org/10.3390/ijerph17072553
url http://hdl.handle.net/10230/46577
http://dx.doi.org/10.3390/ijerph17072553
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Int J Environ Res Public Health. 2020; 17(7):2553
info:eu-repo/grantAgreement/EC/H2020/865564
info:eu-repo/grantAgreement/EC/H2020/727852
dc.rights.none.fl_str_mv http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Spatial variability of heat-related mortality in Barcelona from 1992-2015: A case crossover study designIngole, VijendraMarí Dell'Olmo, Marc, 1978-Deluca, AnnaQuijal-Zamorano, MarcosBorrell i Thió, CarmeRodríguez Sanz, Maica, 1974-Achebak, HichamLauwaet, DirkGilabert, JoanMurage, PeninahHajat, ShakoorBasagaña Flores, XavierBallester, JoanUrbClimHeat-related mortalitySpatial analysisSummer extreme heatUrban heat island effectNumerous studies have demonstrated the relationship between summer temperatures and increased heat-related deaths. Epidemiological analyses of the health effects of climate exposures usually rely on observations from the nearest weather station to assess exposure-response associations for geographically diverse populations. Urban climate models provide high-resolution spatial data that may potentially improve exposure estimates, but to date, they have not been extensively applied in epidemiological research. We investigated temperature-mortality relationships in the city of Barcelona, and whether estimates vary among districts. We considered georeferenced individual (natural) mortality data during the summer months (June-September) for the period 1992-2015. We extracted daily summer mean temperatures from a 100-m resolution simulation of the urban climate model (UrbClim). Summer hot days (above percentile 70) and reference (below percentile 30) temperatures were compared by using a conditional logistic regression model in a case crossover study design applied to all districts of Barcelona. Relative Risks (RR), and 95% Confidence Intervals (CI), of all-cause (natural) mortality and summer temperature were calculated for several population subgroups (age, sex and education level by districts). Hot days were associated with an increased risk of death (RR = 1.13; 95% CI = 1.10-1.16) and were significant in all population subgroups compared to the non-hot days. The risk ratio was higher among women (RR = 1.16; 95% CI= 1.12-1.21) and the elderly (RR = 1.18; 95% CI = 1.13-1.22). Individuals with primary education had similar risk (RR = 1.13; 95% CI = 1.08-1.18) than those without education (RR = 1.10; 95% CI= 1.05-1.15). Moreover, 6 out of 10 districts showed statistically significant associations, varying the risk ratio between 1.12 (95% CI = 1.03-1.21) in Sants-Montjuïc and 1.25 (95% CI = 1.14-1.38) in Sant Andreu. Findings identified vulnerable districts and suggested new insights to public health policy makers on how to develop district-specific strategies to reduce risks.J.B. gratefully acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements No 865564 (European Research Council Consolidator Grant EARLY-ADAPT), 727852 (project Blue-Action) and 730004 (project PUCS), and from the Ministry of Science and Innovation (MCIU) under grant agreements No RYC2018-025446-I (programme Ramón y Cajal) and EUR2019-103822 (project EURO-ADAPT). V.I. acknowledges funding from the European Union’s Horizon 2020 research and innovation programme under grant agreements 730004 (project PUCS). H.A. gratefully acknowledges funding from the Secretariat for Universities and Research of the Ministry of Business and Knowledge of the Government of Catalonia (grant numbers B00391 [FI-2018], B100180 [FI-2019] and B200139 [FI-2020]).MDPI202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/46577http://dx.doi.org/10.3390/ijerph17072553reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésInt J Environ Res Public Health. 2020; 17(7):2553info:eu-repo/grantAgreement/EC/H2020/865564info:eu-repo/grantAgreement/EC/H2020/727852© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/465772026-05-29T05:05:01Z
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