BACKGROUND: the numbers with dementia are projected to double between 2001 and 2040, in line with continued increases in life expectancy. Projections have failed to account for the impact of changing risk factors on future numbers with dementia or disability. OBJECTIVE: to estimate the size of the disabled population over the next 20 years and explore the impact of treatments that delay onset of cognitive impairment and associated disability. METHODS: a dynamic macro-simulation projection model was used to calculate the numbers of older people with disability to 2026. Transition rates to disability and death conditional on a range of conditions, calculated from the MRC Cognitive Function and Ageing Study, were applied to the 1992 England and Wales population. Scenarios for trends in dementia incidence, risk factors and treatment were devised from a systematic review and applied. FINDINGS: population ageing alone resulted in 39% more older people between 2006 and 2026 and 82% more with disability. A combination of reduced incidence of cognitive impairment and disabling consequences alongside improved survival provided the largest reductions in the disabled population (15,000) and the numbers cognitively impaired (302,000) compared with ageing of the population alone. INTERPRETATION: population ageing alone will increase the disabled older population by over 80% and the numbers cognitively impaired by almost 50% over the next 20 years with serious implications for the provision of care. Research priorities should focus on earlier detection of dementia and its risk factors, thereby allowing earlier and more targeted treatment to alleviate its associated disability.
BACKGROUND: the numbers with dementia are projected to double between 2001 and 2040, in line with continued increases in life expectancy. Projections have failed to account for the impact of changing risk factors on future numbers with dementia or disability. OBJECTIVE: to estimate the size of the disabled population over the next 20 years and explore the impact of treatments that delay onset of cognitive impairment and associated disability. METHODS: a dynamic macro-simulation projection model was used to calculate the numbers of older people with disability to 2026. Transition rates to disability and death conditional on a range of conditions, calculated from the MRC Cognitive Function and Ageing Study, were applied to the 1992 England and Wales population. Scenarios for trends in dementia incidence, risk factors and treatment were devised from a systematic review and applied. FINDINGS: population ageing alone resulted in 39% more older people between 2006 and 2026 and 82% more with disability. A combination of reduced incidence of cognitive impairment and disabling consequences alongside improved survival provided the largest reductions in the disabled population (15,000) and the numbers cognitively impaired (302,000) compared with ageing of the population alone. INTERPRETATION: population ageing alone will increase the disabled older population by over 80% and the numbers cognitively impaired by almost 50% over the next 20 years with serious implications for the provision of care. Research priorities should focus on earlier detection of dementia and its risk factors, thereby allowing earlier and more targeted treatment to alleviate its associated disability.
Authors: Yajun Liang; Aiqin Song; Shufa Du; Jack M Guralnik; Chengxuan Qiu Journal: J Gerontol A Biol Sci Med Sci Date: 2014-11-19 Impact factor: 6.053
Authors: Alan D Lopez; Thomas N Williams; Adeera Levin; Marcello Tonelli; Jasvinder A Singh; Peter G J Burney; Jürgen Rehm; Nora D Volkow; George Koob; Cleusa P Ferri Journal: BMC Med Date: 2014-10-22 Impact factor: 8.775
Authors: Maria Guzman-Castillo; Sara Ahmadi-Abhari; Piotr Bandosz; Simon Capewell; Andrew Steptoe; Archana Singh-Manoux; Mika Kivimaki; Martin J Shipley; Eric J Brunner; Martin O'Flaherty Journal: Lancet Public Health Date: 2017-05-23
Authors: Adelina Comas-Herrera; Martin Knapp; Raphael Wittenberg; Sube Banerjee; Ann Bowling; Emily Grundy; Carol Jagger; Nicolas Farina; Daniel Lombard; Klara Lorenz; David McDaid Journal: BMC Health Serv Res Date: 2017-01-11 Impact factor: 2.655
Authors: Fiona E Matthews; Antony Arthur; Linda E Barnes; John Bond; Carol Jagger; Louise Robinson; Carol Brayne Journal: Lancet Date: 2013-07-17 Impact factor: 79.321
Authors: Shabina A Hayat; Robert Luben; Victoria L Keevil; Stephanie Moore; Nichola Dalzell; Amit Bhaniani; Anthony P Khawaja; Paul Foster; Carol Brayne; Nicholas J Wareham; Kay-Tee Khaw Journal: Int J Epidemiol Date: 2013-06-14 Impact factor: 7.196
Authors: Andrew Kingston; Karen Davies; Joanna Collerton; Louise Robinson; Rachel Duncan; John Bond; Thomas B L Kirkwood; Carol Jagger Journal: PLoS One Date: 2014-02-07 Impact factor: 3.240