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dc.contributor.authorHijas Gomez, Ana Isabel 
dc.contributor.authorAyala, Alba 
dc.contributor.authorRodríguez-García, M P
dc.contributor.authorRodriguez-Blazquez, Carmen 
dc.contributor.authorRojo-Perez, Fermina 
dc.contributor.authorFernandez-Mayoralas, Gloria 
dc.contributor.authorRodríguez-Laso, A
dc.contributor.authorCalderón-Larrañaga, Amaia
dc.contributor.authorForjaz, Maria João 
dc.date.accessioned2020-10-19T08:58:26Z
dc.date.available2020-10-19T08:58:26Z
dc.date.issued2020
dc.identifier.citationArch Gerontol Geriatr . Sep-Oct 2020;90:104114.es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/11175
dc.description.abstractThe World Health Organization's active ageing model is based on the optimisation of four key "pillars": health, lifelong learning, participation and security. It provides older people with a policy framework to develop their potential for well-being, which in turn, may facilitate longevity. We sought to assess the effect of active ageing on longer life expectancy by: i) operationalising the WHO active ageing framework, ii) testing the validity of the factors obtained by analysing the relationships between the pillars, and iii) exploring the impact of active ageing on survival through the health pillar. Based on data from a sample of 801 community-dwelling older adults, we operationalised the active ageing model by taking each pillar as an individual construct using principal component analysis. The interrelationship between components and their association with survival was analysed using multiple regression models. A three-factor structure was obtained for each pillar, except for lifelong learning with a single component. After adjustment for age, gender and marital status, survival was only significantly associated with the physical component of health (HR = 0.66; 95% CI = 0.47-0.93; p = 0.018). In turn, this component was loaded with representative variables of comorbidity and functionality, cognitive status and lifestyles, and correlated with components of lifelong learning, social activities and institutional support. According to how the variables clustered into the components and how the components intertwined, results suggest that the variables loading on the biomedical component of the health pillar (e.g. cognitive function, health conditions or pain), may play a part on survival chances.es_ES
dc.description.sponsorshipThis work was funded by the ELES Project (Estudio Longitudinal Envejecer en España) supported by the Ministry of Economy and Competitiveness/MINECO [ref. CSO2009-08645-E/SOCI, CSO2009-06638-E/SOCI, CSO2009-06637-E/SOCI]; Gobierno Vasco [Programa SAIOTEK 2009]; and Fundación Obra Social Caja Madrid; the ENVACES Project (Envejecer Activamente en España) supported by MINECO/FEDER/UE [ref. CSO2015-64115-R]; the QASP project, supported by the Institute of Health Carlos III [PI18CIII/00046]; and the ENCAGE-CM Project (Envejecimiento Activo, Calidad de Vida y Género) supported by Comunidad de Madrid [ref. H2019/HUM-5698, S2015/HUM-3367]. This paper presents independent results and research. The views expressed are those of the authors and not necessarily those of funding agencieses_ES
dc.language.isoenges_ES
dc.publisherElsevier es_ES
dc.relation.isversionofPostprintes_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectWorld Health Organizationes_ES
dc.subjectActive aginges_ES
dc.subjectSurvivales_ES
dc.subjectInternational Classification of Functioning, Disability and Healthes_ES
dc.subjectPrincipal component analysises_ES
dc.titleThe WHO active ageing pillars and its association with survival: Findings from a population-based study in Spain.es_ES
dc.typeArtículoes_ES
dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.pubmedID32526561es_ES
dc.format.volume90es_ES
dc.format.page104114es_ES
dc.identifier.doi10.1016/j.archger.2020.104114es_ES
dc.contributor.funderMinisterio de Economía y Competitividad (España)
dc.contributor.funderGobierno Vasco
dc.contributor.funderCaja Madrid
dc.contributor.funderEuropean Regional Development Fund 
dc.contributor.funderInstituto de Salud Carlos III 
dc.contributor.funderComunidad de Madrid 
dc.description.peerreviewedes_ES
dc.identifier.e-issn1872-6976es_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.archger.2020.104114es_ES
dc.identifier.journalArchives of gerontology and geriatricses_ES
dc.repisalud.centroISCIII::Agencia de Evaluación de Tecnologías Sanitariases_ES
dc.repisalud.centroISCIII::Escuela Nacional de Sanidades_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/CSO2009-08645-E/SOCIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/CSO2009-06638-E/SOCes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/CSO2009-06637-E/SOCIes_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/SAIOTEK 2009es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/CSO2015-64115-Res_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/PI18CIII/00046es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/H2019/HUM-5698es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/S2015/HUM-3367es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/embargoedAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
This item is licensed under a: Attribution-NonCommercial-NoDerivatives 4.0 Internacional