Projections of multi-morbidity in the older population in England to 2035: estimates from the Population Ageing and Care Simulation (PACSim) model
| dc.contributor.author | Kingston, A | |
| dc.contributor.author | Robinson, Louise | |
| dc.contributor.author | Booth, Heather | |
| dc.contributor.author | Knapp, Martin R.J. | |
| dc.contributor.author | Jagger, Carol | |
| dc.date.accessioned | 2021-11-24T22:20:26Z | |
| dc.date.available | 2021-11-24T22:20:26Z | |
| dc.date.issued | 2018 | |
| dc.date.updated | 2020-11-23T11:51:46Z | |
| dc.description.abstract | Background models projecting future disease burden have focussed on one or two diseases. Little is known on how risk factors of younger cohorts will play out in the future burden of multi-morbidity (two or more concurrent long-term conditions). | en_AU |
| dc.description.sponsorship | This work forms part of the MODEM project (A comprehensive approach to MODelling outcome and costs impacts of interventions for DEMentia), funded by the UK Economic and Social Research Council (ESRC) and the National Institute for Health Research (NIHR) (Grant number ES/L001896/1). C.J.’s salary was funded by the AXA Research Fund from 2010 to 2015. C.J. and A.K. also received funding for travel from the Australian Research Council funded Centre of Excellence in Population Ageing Research (CEPAR) project (2014–2017) on which C.J. was an international partner. | en_AU |
| dc.format.mimetype | application/pdf | en_AU |
| dc.identifier.issn | 0002-0729 | en_AU |
| dc.identifier.uri | http://hdl.handle.net/1885/251948 | |
| dc.language.iso | en_AU | en_AU |
| dc.provenance | This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. | en_AU |
| dc.publisher | Oxford University Press | en_AU |
| dc.rights | © The Author(s) 2018. Published by Oxford University Press on behalf of the British Geriatrics Society. | en_AU |
| dc.rights.license | Creative Commons Attribution License | en_AU |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_AU |
| dc.source | Age and Ageing | en_AU |
| dc.subject | multi-morbidity | en_AU |
| dc.subject | future | en_AU |
| dc.subject | simulation | en_AU |
| dc.subject | ageing | en_AU |
| dc.subject | long-term conditions | en_AU |
| dc.subject | older people | en_AU |
| dc.title | Projections of multi-morbidity in the older population in England to 2035: estimates from the Population Ageing and Care Simulation (PACSim) model | en_AU |
| dc.type | Journal article | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.bibliographicCitation.issue | 3 | en_AU |
| local.bibliographicCitation.lastpage | 380 | en_AU |
| local.bibliographicCitation.startpage | 374 | en_AU |
| local.contributor.affiliation | Kingston, A, University of Newcastle upon Tyne | en_AU |
| local.contributor.affiliation | Robinson, Louise, Institute of Health and Society | en_AU |
| local.contributor.affiliation | Booth, Heather, College of Arts and Social Sciences, ANU | en_AU |
| local.contributor.affiliation | Knapp, Martin R.J., London School of Economics and Political Science | en_AU |
| local.contributor.affiliation | Jagger, Carol, University of Newcastle upon Tyne | en_AU |
| local.contributor.authoruid | Booth, Heather, u9410731 | en_AU |
| local.description.notes | Imported from ARIES | en_AU |
| local.identifier.absfor | 160399 - Demography not elsewhere classified | en_AU |
| local.identifier.ariespublication | u3555277xPUB291 | en_AU |
| local.identifier.citationvolume | 47 | en_AU |
| local.identifier.doi | 10.1093/ageing/afx201 | en_AU |
| local.identifier.scopusID | 2-s2.0-85043293141 | |
| local.publisher.url | https://academic.oup.com/ | en_AU |
| local.type.status | Published Version | en_AU |
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