Projections of multi-morbidity in the older population in England to 2035: estimates from the Population Ageing and Care Simulation (PACSim) model
University of Newcastle Australia · Newcastle University · +2 more institutions
Abstract
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).
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 2014-2040. Population: about 303,589 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.
Citation impact
- FWCI
- 29.36
- Percentile
- 100%
- References
- 26
Authors
6- AKAndrew Kingston
University of Newcastle Australia, Newcastle University
- LRLouise Robinson
University of Newcastle Australia, Newcastle University
- HBHeather Booth
Australian National University
- MKMartín Knapp
London School of Economics and Political Science
- CJCarol JaggerCorresponding
University of Newcastle Australia, Newcastle University
Topics & keywords
- Medicine
- Dementia
- Multimorbidity
- Life expectancy
- Gerontology
- Population ageing
- Population
- Depression (economics)
- Good health and well-being