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Lookup NU author(s): Dr Andrew KingstonORCiD, Professor Dame Louise Robinson, Emerita Professor Carol Jagger
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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). Design A dynamic microsimulation model, the Population Ageing and Care Simulation (PACSim) model, simulates the characteristics (sociodemographic factors, health behaviours, chronic diseases and geriatric conditions) of individuals over the period 2014 to 2040. Population 303589 individuals aged 35 years and over (a 1% random sample of the 2014 England population) created from Understanding Society, the English Longitudinal Study of Ageing, and the Cognitive Function and Ageing Study II. Main outcome measures The prevalence of, numbers with, and years lived with, chronic diseases, geriatric conditions, and multi-morbidity. Results Between 2015 and 2035, multi-morbidity prevalence is estimated to increase, the proportion with 4+ diseases almost doubling (2015:9.8%; 2035:17.0%) and two-thirds of those with 4+ diseases will have mental ill-health (dementia, depression, cognitive impairment no dementia). Multi-morbidity prevalence in incoming cohorts aged 65-74 years will rise (2015:45.7%; 2035:52.8%). Life expectancy gains (men 3.6 years, women: 2.9 years) will be spent mostly with 4+ diseases (men: 2.4 years, 65.9%; women: 2.5 years, 85.2%), resulting from increased prevalence of rather than longer survival with multi-morbidity. Conclusions Our findings indicate that over the next twenty years there will be an expansion of morbidity, particularly complex multi-morbidity (4+ diseases). We advocate for a new focus on prevention of, and appropriate and efficient service provision for those with, complex multi-morbidity.
Author(s): Kingston A, Robinson L, Booth H, Knapp M, Jagger C, for the MODEM project
Publication type: Article
Publication status: Published
Journal: Age and Ageing
Year: 2018
Volume: 47
Issue: 3
Pages: 374-380
Print publication date: 01/05/2018
Online publication date: 23/01/2018
Acceptance date: 22/12/2017
Date deposited: 24/01/2018
ISSN (print): 0002-0729
ISSN (electronic): 1468-2834
Publisher: Oxford University Press
URL: https://doi.org/10.1093/ageing/afx201
DOI: 10.1093/ageing/afx201
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