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Mathematical modelling of frailty, dependency and mortality in a 70-year-old general population

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Mathematical modelling of frailty, dependency and mortality in a 70-year-old general population

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dc.contributor.author Camacho Torregrosa, S. es_ES
dc.contributor.author Santamaria Navarro, Cristina es_ES
dc.contributor.author Albert Ros, X. es_ES
dc.date.accessioned 2023-12-18T19:07:43Z
dc.date.available 2023-12-18T19:07:43Z
dc.date.issued 2023-08 es_ES
dc.identifier.issn 0020-7160 es_ES
dc.identifier.uri http://hdl.handle.net/10251/200878
dc.description This is an Author's Accepted Manuscript of an article published in S. Camacho Torregrosa, C. Santamaría Navarro & X. Albert Ros (2023) Mathematical modelling of frailty, dependency and mortality in a 70-year-old general population, International Journal of Computer Mathematics, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/00207160.2023.2248303 es_ES
dc.description.abstract [EN] Due to the ageing of the world population, a better functional capacity for the elderly is needed. Hence the importance of detecting people at risk of frailty, dependence and death to fulfil an individualized approach. There are models that uses frailty indices, but none that use the Frail-VIG Index, based on the comprehensive geriatric assessment. Three predictive models of frailty, dependency and mortality for 70-year-old in the general population are presented. The risk factors for developing frailty or dependency are female gender, chronicity level 2 or 3, and marriage. For mortality, the risk factors are male gender, low educational level and being frail according to frail-VIG index. In conclusion, the health actions to prevent frailty and dependence should focus on reducing the chronicity level, especially in women. To delay mortality, an individualized approach should be implemented in frail people. Further studies are needed to determine other health and social risk factors. es_ES
dc.language Inglés es_ES
dc.publisher Taylor & Francis es_ES
dc.relation.ispartof International Journal of Computer Mathematics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Prognostic factors es_ES
dc.subject Frailty es_ES
dc.subject Dependence es_ES
dc.subject Mortality es_ES
dc.subject Survival analysis es_ES
dc.subject Nomogram es_ES
dc.subject Prediction model es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.title Mathematical modelling of frailty, dependency and mortality in a 70-year-old general population es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1080/00207160.2023.2248303 es_ES
dc.rights.accessRights Embargado es_ES
dc.date.embargoEndDate 2024-08-31 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Facultad de Administración y Dirección de Empresas - Facultat d'Administració i Direcció d'Empreses es_ES
dc.description.bibliographicCitation Camacho Torregrosa, S.; Santamaria Navarro, C.; Albert Ros, X. (2023). Mathematical modelling of frailty, dependency and mortality in a 70-year-old general population. International Journal of Computer Mathematics. 1-15. https://doi.org/10.1080/00207160.2023.2248303 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1080/00207160.2023.2248303 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 15 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\498839 es_ES


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