Cited by 301Dementia and Cognitive Impairment ResearchInsurance, Mortality, Demography, Risk ManagementStatistical Methods in Epidemiology

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Temporal trend in dementia incidence since 2002 and projections for prevalence in England and Wales to 2040: modelling study

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Ahmadi-Abhari, Sara, Guzman-Castillo, Maria, Bandosz, Piotr, Shipley, Martin J, Muniz-Terrera, Graciela, Singh-Manoux, Archana, Kivimäki, Mika, Steptoe, Andrew, Capewell, Simon, O’Flaherty, Martin, Brunner, Eric J·2017·BMJ

DOI 10.1136/bmj.j2856PMC PMC5497174

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Abstract

Objective To forecast dementia prevalence with a dynamic modelling approach that integrates calendar trends in dementia incidence with those for mortality and cardiovascular disease. Design Modelling study. Setting General adult population of England and Wales. Participants The English Longitudinal Study of Ageing (ELSA) is a representative panel study with six waves of data across 2002-13. Men and women aged 50 or more years, selected randomly, and their cohabiting partners were recruited to the first wave of ELSA (2002-03). 11392 adults participated (response rate 67%). To maintain representativeness, refreshment participants were recruited to the study at subsequent waves. The total analytical sample constituted 17 906 people. Constant objective criteria based on cognitive and functional impairment were used to ascertain dementia cases at each wave. Main outcome measures To estimate calendar trends in dementia incidence, correcting for bias due to loss to follow-up of study participants, a joint model of longitudinal and time-to-event data was fitted to ELSA data. To forecast future dementia prevalence, the probabilistic Markov model IMPACT-BAM (IMPACT-Better Ageing Model) was developed. IMPACT-BAM models transitions of the population aged 35 or more years through states of cardiovascular disease, cognitive and functional impairment, and dementia, to death. It enables prediction of dementia prevalence while accounting for the growing pool of susceptible people as a result of increased life expectancy and the competing effects due to changes in mortality, and incidence of cardiovascular disease. Results In ELSA, dementia incidence was estimated at 14.3 per 1000 person years in men and 17.0/1000 person years in women aged 50 or more in 2010. Dementia incidence declined at a relative rate of 2.7% (95% confidence interval 2.4% to 2.9%) for each year during 2002-13. Using IMPACT-BAM, we estimated there were approximately 767 000 (95% uncertainty interval 735 000 to 797 000) people with dementia in England and Wales in 2016. Despite the decrease in incidence and age specific prevalence, the number of people with dementia is projected to increase to 872 000, 1 092 000, and 1 205 000 in 2020, 2030, and 2040, respectively. A sensitivity analysis without the incidence decline gave a much larger projected growth, of more than 1.9 million people with dementia in 2040. Conclusions Age specific dementia incidence is declining. The number of people with dementia in England and Wales is likely to increase by 57% from 2016 to 2040. This increase is mainly driven by improved life expectancy.

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Prince, M., Ali, G.-C., Guerchet, M., Prina, A. M., Albanese, E., & Wu, Y.-T. (2016) · Alzheimer's Research & Therapy · doi:10.1186/s13195-016-0188-8 · Cited by 876
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Self-citation
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Larner, A. J. (2019) · Springer eBooks · doi:10.1007/978-3-030-17562-7_4
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Berre, M. L., & Vedel, I. (2020) · PubMed Central
Medikamentöse Therapie von kognitiven und Verhaltensstörungen bei Demenz
Jung, P. (2019) · Geriatrie up2date · doi:10.1055/a-0873-7389
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Koychev, I. G., & Gallacher, J. (2020) · doi:10.1093/med/9780198713005.003.0040
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Rahul, P., & Jagadeesh, P. (2023) · AIP conference proceedings · doi:10.1063/5.0151444
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Additional file 4 of Assessment of innovative living and care arrangements for persons with dementia: a systematic review
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Additional file 2 of Assessment of innovative living and care arrangements for persons with dementia: a systematic review
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Additional file 1 of Comorbidity and household income as mediators of gender inequalities in dementia risk: a real-world data population study
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Additional file 5 of Assessment of innovative living and care arrangements for persons with dementia: a systematic review
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Additional file 1 of Assessment of innovative living and care arrangements for persons with dementia: a systematic review
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Authors: Ahmadi-Abhari, S., Guzman-Castillo, M., Bandosz, P., Shipley, M. J., Muniz-Terrera, G., Singh-Manoux, A., Kivimäki, M., Steptoe, A., Capewell, S., O’Flaherty, M., & Brunner, E. J.
Affiliations: University of Liverpool (GB)
University College London (GB)
ORCID: Guzman-Castillo, Maria
Bandosz, Piotr
Steptoe, Andrew
Capewell, Simon
Brunner, Eric J
Venue: BMJ
Publisher: BMJ
Published: 2017-07-05
Volume: 358
Pages: j2856
ISSN: 1756-1833 (ISSN-L)
0959-8138
DOI: 10.1136/bmj.j2856
PMC: PMC5497174
OpenAlex: W2724131311
Cited by: 301
References: 56
Citations by year: 2026: 20 · 2025: 43 · 2024: 43 · 2023: 23 · 2022: 38 · 2021: 27 · 2020: 31 · 2019: 42 · 2018: 28 · 2017: 5
FWCI: 23.82
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
www.bmj.org/licenses/tdm/1.0/terms-and-conditions.html (tdm)
Locations: BMJ (publishedVersion, cc-by)
Europe PMC (PubMed Central) (publishedVersion, cc-by)
PubMed Central (publishedVersion, cc-by)
PubMed (publishedVersion)
Edinburgh Research Explorer (University of Edinburgh) (publishedVersion, cc-by)
UCL Discovery (University College London) (submittedVersion)
Työväentutkimus Vuosikirja (submittedVersion)
HighWire Press Open Archive (submittedVersion)
Funders: British Heart Foundation (RG/16/11/32334, K013351, 32334, PG/11/63/29011, RG/13/2/30098)
NordForsk (RG/16/11/32334, K013351)
Medical Research Council (MR/K013351/1, K013351, RG/16/11/32334)
Economic and Social Research Council (ES/J023299/1)
National Institute on Aging (R01AG017644)
Topics: Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords: dementia, dementia incidence, dementia prevalence projections, temporal trends, Markov model, cardiovascular disease, cognitive impairment, functional disability, mortality, loss to follow-up, England and Wales, population aging, dementia risk factors, English Longitudinal Study of Ageing
MeSH terms: Aged, Dementia, England, Female, Health Surveys, Humans, Life Expectancy, Longitudinal Studies, Male, Middle Aged, Models, Theoretical, Population Surveillance, Socioeconomic Factors, Time Factors, Wales, Incidence, Prevalence, Sex Distribution

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Temporal trend in dementia incidence since 2002 and projections for prevalence in England and Wales to 2040: modelling study

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