A two decade dementia incidence comparison from the Cognitive Function and Ageing Studies i and II

Nature Communications

Volumn 7, Issue , 2016, Pages

  Matthews, F E ^a,b   Stephan, B C M ^b   Robinson, L ^b   Jagger, C ^b   Barnes, L E ^a   Arthur, A ^c   Brayne, C ^a   Comas Herrera, A ^d   Wittenberg, R ^d   Dening, T ^e   McCracke, C F M ^f   Moody, C ^g   Parry, B ^h   Green, E ^a   Barnes, R ^a   Warwick, J ^a   Gao, L ^a   Mattison, A ^b   Baldwin, C ⁱ   Harrison, S ^j   Woods, B ^k   McKeit, I G ^b   Ince, P G ^l   Wharton, S B ^l   Forster, G ^l   more..

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b NEWCASTLE UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF EAST ANGLIA   (United Kingdom)

^d LONDON SCHOOL OF ECONOMICS   (United Kingdom)

^e UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^f UNIVERSITY OF LIVERPOOL   (United Kingdom)

^g MEDICAL RESEARCH COUNCIL   (United Kingdom)

^h KING'S COLLEGE LONDON   (United Kingdom)

ⁱ ALZHEIMER'S SOCIETY   (United Kingdom)

^j ROYAL DEVON AND EXETER HOSPITAL   (United Kingdom)

^k BANGOR UNIVERSITY   (United Kingdom)

^l UNIVERSITY OF SHEFFIELD   (United Kingdom)

more..

Author keywords

[No Author keywords available]

Indexed keywords

AGE STRUCTURE; AGING POPULATION; BRAIN; COMPARATIVE STUDY; NERVOUS SYSTEM DISORDER; QUESTIONNAIRE SURVEY; SAMPLING;

AGING; ARTICLE; COGNITION; COMPARATIVE STUDY; DAILY LIFE ACTIVITY; DEMENTIA; FOLLOW UP; HUMAN; INCIDENCE; MEDICAL RECORD; MINI MENTAL STATE EXAMINATION; POPULATION; PRIMARY MEDICAL CARE; SEX DIFFERENCE; UNITED KINGDOM; AGE; AGED; ENGLAND; FEMALE; HEALTH SURVEY; MALE; PATHOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; QUESTIONNAIRE; SAMPLE SIZE; VERY ELDERLY; WALES;

ENGLAND; UNITED KINGDOM; WALES;

AGE FACTORS; AGED; AGED, 80 AND OVER; AGING; COGNITION; DEMENTIA; ENGLAND; FEMALE; HEALTH SURVEYS; HUMANS; INCIDENCE; MALE; SAMPLE SIZE; SEX FACTORS; SURVEYS AND QUESTIONNAIRES; WALES;

EID: 84973345170     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms11398     Document Type: Article

References (41)

1. Prince, M. et al. World Alzheimer Report 2015: The Gobal Impact of Dementia ana analysis of prevalence, incidence, cost and trends http://www.alz.co.uk/ research/WorldAlzheimerReport2015.pdf (2015).
2. Prince, M. et al. Dementia UK: UpdateSecond Edition. http://www.alzheimers. org.uk/site/scripts/download-info.php?fileID=2323 (2014).
3. Lewis, F. Estimation of future cases of dementia from those born in 2015 http://cdn.dementiablog.org/wp-content/uploads/2015/09/ OHE-Consulting-ARUK-FINAL.pdf (2015).
4. Prince, M. et al. The global prevalence of dementia: a systematic review and metaanalysis. Alzheimers Dement 9, 63 (2013).
5. Akushevich, I., Kravchenko, J., Ukraintseva, S., Arbeev, K. & Yashin, A. I. Time trends of incidence of age-associated diseases in the US elderly population: Medicare-based analysis. Age Ageing 42, 494 (2013).
6. Langa, K. M. et al. Trends in the prevalence and mortality of cognitive impairment in the United States: is there evidence of a compression of cognitive morbidity? Alzheimers Dement. 4, 134 (2008).
7. Schrijvers, E. M. et al. Is dementia incidence declining?: Trends in dementia incidence since 1990 in the Rotterdam Study. Neurology 78, 1456 (2012).
8. Qiu, C., von, S. E., Backman, L., Winblad, B. & Fratiglioni, L. Twenty-year changes in dementia occurrence suggest decreasing incidence in central Stockholm, Sweden. Neurology 80, 1888 (2013).
9. Rocca, W. A. et al. Trends in the incidence and prevalence of Alzheimer's disease, dementia, and cognitive impairment in the United States. Alzheimers Dement. 7, 80 (2011).
10. Dubois, B. et al. Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria. Lancet. Neurol. 13, 614 (2014).
11. Matthews, F. E. et al. A two-decade comparison of prevalence of dementia in individuals aged 65 years and older from three geographical areas of England: results of the Cognitive Function and Ageing Study I and II. Lancet 382, 1405 (2013).
12. Lobo, A. et al. Prevalence of dementia in a southern European population in two different time periods: the ZARADEMP Project. Acta. Psychiatr. Scand. 116, 299 (2007).
13. Wu, Y. T. et al. Dementia in western Europe: epidemiological evidence and implications for policy making. Lancet. Neurol. 15, 116-124 (2015).
14. Capewell, S. Cardio & Vascular Coalition Modelling the UK Burden of Cardiovascular Disease to 2020 (Cardio & Vascular Coalition and the British Heart Foundation, London, UK, 2008).
15. Norton, S., Matthews, F. E., Barnes, D. E., Yaffe, K. & Brayne, C. Potential for primary prevention of Alzheimer's disease: an analysis of population-based data. Lancet. Neurol. 13, 788 (2014).
16. Valenzuela, M., Brayne, C., Sachdev, P., Wilcock, G. & Matthews, F. Cognitive lifestyle and long-term risk of dementia and survival after diagnosis in a multicenter population-based cohort. Am. J. Epidemiol. 173, 1004 (2011).
17. Valenzuela, M. J. et al. Multiple biological pathways link cognitive lifestyle to protection from dementia. Biol. Psychiatry. 71, 783 (2012).
18. Marioni, R. E. et al. Active cognitive lifestyle associates with cognitive recovery and a reduced risk of cognitive decline. J. Alzheimer's Dis. 28, 223-230 (2012).
19. Schaie, K. W., Willis, S. L. & Pennak, S. An historical framework for Cohort differences in intelligence. Res. Hum. Dev. 2, 43 (2005).
20. Llewellyn, D. J. & Matthews, F. E. Increasing levels of semantic verbal fluency in elderly English adults. Neuropsychol. Dev. Cogn. B. Aging. Neuropsychol. Cogn. 16, 433 (2009).
21. Salthouse, T. Book review (K Warner Schaie, Developmental Influences on adult intelligence: The Seattle Longitudinal Study, New York.). Intelligence 33, 551-554 (2005).
22. CFAS, M. R. C. Cognitive function and dementia in six areas of England and Wales: the distribution of MMSE and prevalence of GMS organicity level in the MRC CFA Study. Pyschol. Med. 28, 319 (1998).
23. Knopman, D. S. et al. Incidence of dementia among participants and nonparticipants in a longitudinal study of cognitive aging. Am. J. Epidemiol. 180, 414 (2014).
24. American Psychiatric Association (APA). Diagnostic and Statistical Manual of Mental Disorders (DSM-5) 5th edn (2013).
25. Matthews, F. & Brayne, C. The incidence of dementia in England and Wales: findings from the five identical sites of the MRC CFA Study. PLoS. Med. 2, e193 (2005).
26. Prime ministers challenge on dementia, a. u. o. p. https://www.gov.uk/ government/uploads/system/uploads/attachment-data/file/200030/9535-TSO-2900951-PM-Challenge-Dementia-ACCESSIBLE.PDF (2013).
27. Brayne, C. The elephant in the room - healthy brains in later life, epidemiology and public health. Nat. Rev. Neurosci. 8, 233 (2007).
28. Claudia, L. et al. Incidence of Dementia over Three Decades in the Framingham Heart Study. The New England Journal of Medicine 374, 523 (2016).
29. Brayne, C., Gao, L., Dewey, M. & Matthews, F. E. Dementia before death in ageing societies - the promise of prevention and the reality. PLoS Med. 3, e397 (2006).
30. Copeland, J. R. et al. The Geriatric Mental State (GMS) used in the community: replication studies of the computerized diagnosis AGECAT. Psychol. Med. 18, 219 (1988).
31. Copeland, J. R., Dewey, M. E. & Griffiths-Jones, H. M. A computerized psychiatric diagnostic system and case nomenclature for elderly subjects: GMS and AGECAT. Psychol. Med. 16, 89 (1986).
32. Folstein, M. F., Folstein, S. E. & McHugh, P. R. Mini-mental state: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr. Res. 313, 1419 (1975).
33. Copeland, J. R., Dewey, M. E. & Griffiths-Jones, H. M. Dementia and depression in elderly persons: AGECAT compared with DSM III and pervasive illness. Int. J. Geriatr. Psychiatry 5, 47 (1990).
34. Clayton, D., Spiegelhalter, D., Dunn, G. & Pickles, A. Analysis of longitudinal binary data from multiphase sampling. Stat. Med. 60, 71 (2002).
35. Spiegelhalter, D., Thomas, A., Best, N. & Lunn, D. WinBUGS. Stat. Comput. 10, 325-337 (2007).
36. Statacorp Stata Statistical Software. Release 12.1 (College Station, Texas, 2014).
37. Matthews, F. E. Doctor of Philosophy, University of Cambridge (2005).
38. Matthews, F. E. et al. Attrition and bias in the MRC cognitive function and ageing study: an epidemiological investigation. BMC Public Health 4, 12 (2004).
39. Chatfield, M. D., Brayne, C. E. & Matthews, F. E. A systematic literature review of attrition between waves in longitudinal studies in the elderly shows a consistent pattern of dropout between differing studies. J. Clin. Epidemiol. 58, 13 (2005).
40. Brooks, S. P. & Gelman, A. Alternative methods for monitoring convergence of iterative simulations. J. Comput. Graph. Stat. 7, 434 (1998).
41. Rubin, D. B. Multiple imputation after 18+ years (with discussion). J. Am. Stat. Assoc. 91, 473 (1996).