Spatial variability of heat-related mortality in Barcelona from 1992-2015 : a case crossover study design
Ingole, Vijendra
Marí-Dell'Olmo, Marc 1978-
Deluca, Anna
Quijal, Marcos
Borell, Carme
Rodríguez-Sanz, Maica
Achebak, Hicham
Lauwaet, Dirk
Gilabert, Joan
Murage, Peninah
Hajat, Shakoor
Basagaña, X
Ballester, Joan

Data:	2020
Resum:	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.
Ajuts:	European Commission 865564 European Commission 727852 European Commission 730004 Ministerio de Ciencia e Innovación YC2018-025446-I Ministerio de Ciencia e Innovación EUR2019-103822 European Commission 730004
Nota:	Altres ajuts: B00391 [FI-2018]
Nota:	Altres ajuts: B100180 [FI-2019]
Nota:	Altres ajuts: B200139 [FI-2020]
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	Heat-related mortality ; UrbClim ; Spatial analysis ; Urban heat island effect ; Summer extreme heat
Publicat a:	International journal of environmental research and public health, Vol. 17 Núm. 7 (2020) , ISSN 1660-4601

DOI: 10.3390/ijerph17072553
PMID: 32276439

13 p, 1.8 MB

828.1 KB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències socials i jurídiques > Centre d’Estudis Demogràfics (CED-CERCA)
Articles > Articles de recerca
Articles > Articles publicats