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dc.contributor.authorWijers, Irene G. M.-
dc.contributor.authorAyala García, Alba-
dc.contributor.authorRodríguez Blázquez, Carmen-
dc.contributor.authorRodríguez Laso, Ángel-
dc.contributor.authorRodríguez García, Pilar-
dc.contributor.authorPrados Torres, Alexandra-
dc.contributor.authorRodríguez Rodríguez, Vicente-
dc.contributor.authorForjaz, María João-
dc.contributor.otherRodriguez Laso, Ángel [0000-0001-7969-4030]-
dc.date.accessioned2020-05-19T09:41:26Z-
dc.date.available2020-05-19T09:41:26Z-
dc.date.issued2019-
dc.identifierdoi: http://dx.doi.org/10.1007/s10433-018-0491-2-
dc.identifierissn: 1613-9380-
dc.identifier.citationEuropean Journal of Ageing 16: 193-203 (2019)-
dc.identifier.urihttp://hdl.handle.net/10261/211610-
dc.description.abstractThe objective of this study was to assess how disease burden caused by chronic conditions is related to mortality (predictive validity) and other health outcomes (convergent validity). This was studied in 625 community-dwelling adults living in Spain aged 65 years and older. Disease burden was measured with the Disease Burden Morbidity Assessment (DBMA). The association with 5-year mortality was assessed using a Cox model and Kaplan–Meier curves. For convergent validity, mean age, sex ratio, patient-centered outcomes and healthcare utilization were compared for high and low DBMA scores (< 10 vs. ≥ 10). Also, a multivariable linear regression model was used to evaluate the DBMA as a function of these variables. Mean DBMA score in our sample was 7.5. After 5 years, 35 participants had died (5.5%). The Cox model displayed a hazard ratio of 1.07, and the Kaplan–Meier curves showed lower survival for high DBMA scores. Among participants with high DBMA scores, low self-perceived health, disability and female sex were more frequent, and this group showed lower mean scores for quality of life (Personal Wellbeing Index), affect balance (Scale of Positive and Negative Experience) and physical activity (Yale Physical Activity Survey), higher mean age and higher healthcare utilization than persons with low DBMA scores. In the multivariable regression, all variables but age were significantly associated with the DBMA. In conclusion, the DBMA showed satisfactory predictive and convergent validity. In our aging society, it can be applied to better understand and improve care for older persons with multiple chronic conditions.-
dc.description.sponsorshipLos autores revelan la recepción del siguiente apoyo financiero: ELES-PS (ref: CSO2011-30210-C02-01), financiado por el Plan Nacional I + D + I, Ministerio de Educación y Ciencia de España; ENCAGE-CM (ref: S2015 / HUM-3367), financiado por el Programa de Actividades I + D de los grupos de investigación de la Comunidad de Madrid sobre ciencias sociales y humanidades y cofinanciado por el Fondo Social Europeo; y ENVACES (ref: CSO2015-64115-R), financiado por el Ministerio de Economía, Industria y Competitividad de España y cofinanciado por el Fondo Social Europeo. Además, este trabajo surge de la Acción Conjunta sobre Enfermedades Crónicas y Promoción del Envejecimiento Saludable a lo largo del Ciclo de Vida (JA-CHRODIS), que ha recibido fondos de la Unión Europea, en el marco del Programa de Salud (2008-2013). La responsabilidad exclusiva recae en el autor, y la Agencia Ejecutiva de Consumidores, Salud, Agricultura y Alimentación no es responsable del uso que pueda hacerse de la información contenida en el mismo-
dc.languageeng-
dc.publisherSpringer-
dc.relationS2015/HUM-3367/ENCAGE-CM-
dc.relationMINECO/ICTI2013-2016/CSO2015-64115-R-
dc.relation.isversionofPostprint-
dc.rightsclosedAccess-
dc.subjectComorbidity-
dc.subjectHealth status-
dc.subjectBurden of illness-
dc.subjectChronic disease-
dc.subjectAged-
dc.titleThe Disease Burden Morbidity Assessment in older adults and its association with mortality and other health outcomes-
dc.typeartículo-
dc.identifier.doihttp://dx.doi.org/10.1007/s10433-018-0491-2-
dc.relation.publisherversionhttps://link.springer.com/article/10.1007/s10433-018-0491-2-
dc.date.updated2020-05-19T09:41:26Z-
dc.contributor.funderComunidad de Madrid-
dc.contributor.funderMinisterio de Economía y Competitividad (España)-
dc.contributor.funderEuropean Commission-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/100012818es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100003329es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.contributor.orcidRodríguez Rodríguez, Vicente [0000-0002-8812-6841]-
dc.contributor.orcidForjaz, María João [0000-0003-3935-962X]-
dc.contributor.orcidPrados Torres, Alexandra [0000-0002-5704-6056]-
dc.contributor.orcidRodríguez Laso, Ángel [0000-0001-7969-4030]-
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