Publication:
Population vulnerability to extreme cold days in rural and urban municipalities in ten provinces in Spain

dc.contributor.authorLopez-Bueno, Jose Antonio
dc.contributor.authorNavas-Martin, Miguel Angel
dc.contributor.authorDiaz-Jimenez, Julio
dc.contributor.authorMirón, Isidro Juan
dc.contributor.authorLuna, María Yolanda
dc.contributor.authorSánchez-Martínez, G
dc.contributor.authorCulqui, Dante Roger
dc.contributor.authorLinares-Gil, Cristina
dc.contributor.funderInstituto de Salud Carlos III
dc.date.accessioned2023-05-04T07:46:24Z
dc.date.available2023-05-04T07:46:24Z
dc.date.issued2022-12-15
dc.description.abstractBackground: The objective was to analyze whether there are differences in vulnerability to Extreme Cold Days (ECD) between rural and urban populations in Spain. Methodology: Time series analysis carried out from January 1, 2000, through December 31, 2013. Municipalities with over 10,000 inhabitants were included from 10 Spanish provinces, classified into 42 groups by isoclimate and urban/rural character as defined by Eurostat criteria. The statistical strategy was carried out in two phases. First: It was analyzed the relationship between minimum daily temperature (Tmin) (source: AEMET) and the rate of daily winter mortality due to natural causes -CIE-10: A00 - R99- (source: National Statistics Institute). Then, It was determinated the threshold of Tmin that defines the ECD and its percentile in the series of winter Tmin (Pthreshold), which is a measure of vulnerability to ECD so that the higher the percentile, the higher the vulnerability. Second: possible explanatory variables of vulnerability were explored using Mixed Generalized Models, using 13 independent variables related to meteorology, environment, socioeconomics, demographics and housing quality. Results: The average Pthreshold was 18 %. The final model indicated that for each percentage point increase in unemployment, the vulnerability to ECD increased by 0.4 (0.2, 0.6) points. Also, with each point increase in rurality index, this vulnerability decreased by -6.1 (-2.1, -10.0) points. Although less determinant, other factors that could contribute to explaining vulnerability at the province level included minimum winter daily temperatures and the percentage of housing with poor insulation. Conclusions: The vulnerability to ECD was greater in urban zones than in rural zones. Socioeconomic status is a key to understanding how this vulnerability is distributed. These results suggest the need to implement public health prevention plans to address ECD at the state level. These plans should be based on threshold temperatures determined at the smallest scale possible.es_ES
dc.description.peerreviewedes_ES
dc.description.sponsorshipThe authors wish to thank the funding provided by the ENPY107/18, ENPY 376/18, ENPY 304/20 projects of the Carlos III Health Institute III (ISCIII).es_ES
dc.format.page158165es_ES
dc.format.volume852es_ES
dc.identifier.citationSci Total Environ. 2022 Dec 15;852:158165.es_ES
dc.identifier.doi10.1016/j.scitotenv.2022.158165es_ES
dc.identifier.e-issn1879-1026es_ES
dc.identifier.journalThe Science of the total environmentes_ES
dc.identifier.pubmedID35988600es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/15952
dc.language.isoenges_ES
dc.publisherElsevier
dc.relation.projectFISinfo:eu-repo/grantAgreement/ES/ENPY107/18es_ES
dc.relation.projectFISinfo:eu-repo/grantAgreement/ES/ENPY376/18es_ES
dc.relation.projectFISinfo:eu-repo/grantAgreement/ES/ENPY304/20es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.scitotenv.2022.158165es_ES
dc.repisalud.centroISCIII::Escuela Nacional de Sanidades_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAtribución-NoComercial 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectCold waveses_ES
dc.subjectPovertyes_ES
dc.subjectHouseholdes_ES
dc.subjectVulnerabilityes_ES
dc.subjectCold action planses_ES
dc.subject.meshExtreme Cold Weatheres_ES
dc.subject.meshHumanses_ES
dc.subject.meshCitieses_ES
dc.subject.meshSpaines_ES
dc.subject.meshTemperaturees_ES
dc.subject.meshSocioeconomic Factorses_ES
dc.subject.meshUrban Populationes_ES
dc.subject.meshCold Temperaturees_ES
dc.subject.meshMortalityes_ES
dc.subject.meshRural Populationes_ES
dc.titlePopulation vulnerability to extreme cold days in rural and urban municipalities in ten provinces in Spaines_ES
dc.typeresearch articlees_ES
dc.type.hasVersionVoRes_ES
dspace.entity.typePublication
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