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How functional data can enhance the estimation of health expectancy: The case of disabled Spanish population

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dc.affiliation.dptoUC3M. Departamento de Estadísticaes
dc.affiliation.institutoUC3M. Instituto UC3M - Santander de Big Dataes
dc.contributor.authorAlbarrán Lozano, Irene
dc.contributor.authorAlonso Gonzalez, Pablo Jesus
dc.contributor.authorArribas Gil, Ana
dc.contributor.authorGrané Chávez, Aurea
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2021-06-29T08:21:41Z
dc.date.available2021-06-29T08:21:41Z
dc.date.issued2019-01
dc.description.abstractThe aging of population is perhaps the most important problem that developed countries must face in the near future. Dependency can be seen as a consequence of the process of gradual aging. In a health context, this contingency is defined as a lack of autonomy in performing basic activities of daily living that requires the care of another person or significant help. In Europe in general and in Spain in particular, this phenomena represents a problem with economic, political, social and demographic implications. The prevalence of dependency in the population, as well as its intensity and evolution over the course of a person’s life are issues of greatest importance that should be addressed. The aim of this work is the estimation of life expectancy free of dependency (LEFD) based on functional trajectories to enhance the regular estimation of health expectancy. Using information from the Spanish survey EDAD 2008, we estimate the number of years spent free of dependency for disabled people according to gender, dependency degree (moderate, severe, major) and the earlier or later onset of dependency compared to a central trend. The main findings are as follows: first, we show evidence that to estimate LEFD ignoring the information provided by the functional trajectories may lead to non-representative LEFD estimates; second, in general, dependency-free life expectancy is higher for women than for men. However, its intensity is higher in women with later onset on dependency; Third, the loss of autonomy is higher (and more abrupt) in men than in women. Finally, the diversity of patterns observed at later onset of dependency tends to a dependency extreme-pattern in both genders.en
dc.format.extent28
dc.identifier.bibliographicCitationAlbarrán, I., Alonso-González, P. J., Arribas-Gil, A. & Grané, A. (2019). How functional data can enhance the estimation of health expectancy: The case of disabled Spanish population. ASTIN Bulletin, 49(1), 57–84.en
dc.identifier.doihttps://doi.org/10.1017/asb.2018.34
dc.identifier.issn0515-0361
dc.identifier.publicationfirstpage57
dc.identifier.publicationissue1
dc.identifier.publicationlastpage84
dc.identifier.publicationtitleASTIN Bulletinen
dc.identifier.publicationvolume49
dc.identifier.urihttps://hdl.handle.net/10016/32949
dc.identifier.uxxiAR/0000022899
dc.language.isoeng
dc.publisherCambridge University Pressen
dc.relation.projectIDGobierno de España. MTM2014-56535-Res
dc.rights© Astin Bulletin 2018en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaEconomíaes
dc.subject.ecienciaEstadísticaes
dc.subject.otherADLen
dc.subject.otherCox regressionen
dc.subject.otherDependencyen
dc.subject.otherDisabilityen
dc.subject.otherFunctional dataen
dc.titleHow functional data can enhance the estimation of health expectancy: The case of disabled Spanish populationen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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