H2020 - 803239 - CRISP - Cognitive Aging: From Educational Opportunities to Individual Risk Profiles
Organisme subsidiant :
The English Longitudinal Study of Ageing is administered by a team of researchers based at the University College London, NatCen Social Research, the Institute for Fiscal Studies, and the University of Manchester. Funding is provided by National Institute on Aging (R01AG017644; principal investigator: Dr Steptoe) and by a consortium of UK government departments coordinated by the National Institute for Health Research. This work has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 803239). CE - Commission Européenne European Union
WHO. Dementia (World Health Organization, Geneva, 2022).
Röhr, S., Pabst, A., Luck, T. & Riedel-Heller, S. G. Is dementia incidence declining in high-income countries? A systematic review and meta-analysis. Clin. Epidemiol. 10, 1233. 10.2147/CLEP.S163649 (2018). DOI: 10.2147/CLEP.S163649
Wolters, F. J. et al. Twenty-seven-year time trends in dementia incidence in Europe and the United States: The Alzheimer cohorts consortium. Neurology 95, e519–e531. 10.1212/WNL.0000000000010022 (2020). DOI: 10.1212/WNL.0000000000010022
Livingston, G. et al. Dementia prevention, intervention, and care: 2020 report of the Lancet commission. Lancet 396, 413–446. 10.1016/S0140-6736(20)30367-6 (2020). DOI: 10.1016/S0140-6736(20)30367-6
Deckers, K. et al. Target risk factors for dementia prevention: A systematic review and Delphi consensus study on the evidence from observational studies. Int. J. Geriatr. Psychiatry 30, 234–246. 10.1002/gps.4245 (2015). DOI: 10.1002/gps.4245
Mukadam, N. et al. Effective interventions for potentially modifiable risk factors for late-onset dementia: A costs and cost-effectiveness modelling study. Lancet Healthy Longev. 1, e13–e20. 10.1016/S2666-7568(20)30004-0 (2020). DOI: 10.1016/S2666-7568(20)30004-0
Kim, M.-Y., Kim, K., Hong, C. H., Lee, S. Y. & Jung, Y.-S. Sex differences in cardiovascular risk factors for dementia. Biomol. Ther. 26, 521. 10.4062/biomolther.2018.159 (2018). DOI: 10.4062/biomolther.2018.159
Mielke, M. M., Vemuri, P. & Rocca, W. A. Clinical epidemiology of Alzheimer’s disease: Assessing sex and gender differences. Clin. Epidemiol. 6, 37. 10.2147/CLEP.S37929 (2014). DOI: 10.2147/CLEP.S37929
Tramunt, B. et al. Sex differences in metabolic regulation and diabetes susceptibility. Diabetologia 63, 453–461. 10.1007/s00125-019-05040-3 (2020). DOI: 10.1007/s00125-019-05040-3
Altemus, M., Sarvaiya, N. & Epperson, C. N. Sex differences in anxiety and depression clinical perspectives. Front. Neuroendocrinol. 35, 320–330. 10.1016/j.yfrne.2014.05.004 (2014). DOI: 10.1016/j.yfrne.2014.05.004
Sindi, S. et al. Sex differences in dementia and response to a lifestyle intervention: Evidence from Nordic population-based studies and a prevention trial. Alzheimer’s Dement. 17, 1166–1178. 10.1002/alz.12279 (2021). DOI: 10.1002/alz.12279
Gong, J., Harris, K., Peters, S. A. & Woodward, M. Sex differences in the association between major cardiovascular risk factors in midlife and dementia: A cohort study using data from the UK Biobank. BMC Med. 19, 1–11. 10.1186/s12916-021-01980-z (2021). DOI: 10.1186/s12916-021-01980-z
Dong, C. et al. Sex differences in the association between cardiovascular diseases and dementia subtypes: A prospective analysis of 464,616 UK Biobank participants. Biol. Sex Differ. 13, 1–11. 10.1186/s13293-022-00431-5 (2022). DOI: 10.1186/s13293-022-00431-5
Cadar, D. et al. Individual and area-based socioeconomic factors associated with dementia incidence in England: Evidence from a 12-year follow-up in the english longitudinal study of ageing. JAMA Psychiatry 75, 723–732. 10.1001/jamapsychiatry.2018.1012 (2018). DOI: 10.1001/jamapsychiatry.2018.1012
Deckers, K. et al. Modifiable risk factors explain socioeconomic inequalities in dementia risk: Evidence from a population-based prospective cohort study. J. Alzheimer’s Dis. 71, 549–557. 10.3233/JAD-190541 (2019). DOI: 10.3233/JAD-190541
Rusmaully, J. et al. Contribution of cognitive performance and cognitive decline to associations between socioeconomic factors and dementia: A cohort study. PLoS Med. 14, e1002334. 10.1371/journal.pmed.1002334 (2017). DOI: 10.1371/journal.pmed.1002334
Ford, K. J., Kobayashi, L. C. & Leist, A. K. Childhood socioeconomic disadvantage and pathways to memory performance in mid to late adulthood: What matters most?. J. Gerontol. Ser. B 10.1093/geronb/gbac075 (2022). DOI: 10.1093/geronb/gbac075
Cockerham, W. C. The Social Causes of Health and Disease (Polity Press, NY, 2021).
Röhr, S. et al. Social determinants and lifestyle factors for brain health: Implications for risk reduction of cognitive decline and dementia. Sci. Rep. 12, 1–9. 10.1038/s41598-022-16771-6 (2022). DOI: 10.1038/s41598-022-16771-6
Leist, A. K., Bar-Haim, E. & Chauvel, L. Inequality of educational opportunity at time of schooling predicts cognitive functioning in later adulthood. SSM Popul. Health 15, 100837. 10.1016/j.ssmph.2021.100837 (2021). DOI: 10.1016/j.ssmph.2021.100837
Lövdén, M., Fratiglioni, L., Glymour, M. M., Lindenberger, U. & Tucker-Drob, E. M. Education and cognitive functioning across the life span. Psychol. Sci. Public Interest 21, 6–41. 10.1177/1529100620920576 (2020). DOI: 10.1177/1529100620920576
Steptoe, A., Breeze, E., Banks, J. & Nazroo, J. Cohort profile: The English longitudinal study of ageing. Int. J. Epidemiol. 42, 1640–1648. 10.1093/ije/dys168 (2013). DOI: 10.1093/ije/dys168
Rogers, N. T., Banks, J., Nazroo, J. & Steptoe, A. (2016) English Longitudinal Study of Ageing (ELSA). Encycl. Geropsychol. 1–10 10.1007/978-981-287-080-3_52-1
International Standard Classification of Occupations (ISCO). (2008) ILOSTAT, Asansol.
Galobardes, B., Shaw, M., Lawlor, D. A. & Lynch, J. W. Indicators of socioeconomic position (part 2). J. Epidemiol. Community Health 60, 95. 10.1136/jech.2004.028092 (2006). DOI: 10.1136/jech.2004.028092
Jorm, A. A short form of the informant questionnaire on cognitive decline in the elderly (IQCODE): Development and cross-validation. Psychol. Med. 24, 145–153. 10.1017/S003329170002691X (1994). DOI: 10.1017/S003329170002691X
Jorm, A. F. The informant questionnaire on cognitive decline in the elderly (IQCODE): A review. Int. Psychogeriatr. 16, 275–293. 10.1017/S1041610204000390 (2004). DOI: 10.1017/S1041610204000390
Jorm, A. & Jacomb, P. The informant questionnaire on cognitive decline in the elderly (IQCODE): Socio-demographic correlates, reliability, validity and some norms. Psychol. Med. 19, 1015–1022. 10.1017/S0033291700005742 (1989). DOI: 10.1017/S0033291700005742
Quinn, T. J. et al. Informant questionnaire on cognitive decline in the elderly (IQCODE) for the diagnosis of dementia within community dwelling populations. Cochrane Database Syst. Rev. 10.1002/14651858.CD010079.pub2 (2014). DOI: 10.1002/14651858.CD010079.pub2
Jorm, A. & Korten, A. Assessment of cognitive decline in the elderly by informant interview. Br. J. Psychiatry 152, 209–213. 10.1192/bjp.152.2.209 (1988). DOI: 10.1192/bjp.152.2.209
Williams, R. L. A note on robust variance estimation for cluster-correlated data. Biometrics 56, 645–646. 10.1111/j.0006-341X.2000.00645.x (2000). DOI: 10.1111/j.0006-341X.2000.00645.x
Rothman, K. J. Six persistent research misconceptions. J. Gen. Intern. Med. 29, 1060–1064. 10.1007/s11606-013-2755-z (2014). DOI: 10.1007/s11606-013-2755-z
Benjamini, Y. & Hochberg, Y. Controlling the false discovery rate: A practical and powerful approach to multiple testing. J. Roy. Stat. Soc. Ser. B Methodol. 57, 289–300. 10.1111/j.2517-6161.1995.tb02031.x (1995). DOI: 10.1111/j.2517-6161.1995.tb02031.x
Bavel, J. V., Schwartz, C. R. & Esteve, A. The reversal of the gender gap in education and its consequences for family life. Ann. Rev. Sociol. 44, 341–360. 10.1146/annurev-soc-073117-041215 (2018). DOI: 10.1146/annurev-soc-073117-041215
Bloomberg, M. et al. Sex differences and the role of education in cognitive ageing: Analysis of two UK-based prospective cohort studies. Lancet Public Health 6, e106–e115. 10.1016/S2468-2667(20)30258-9 (2021). DOI: 10.1016/S2468-2667(20)30258-9
Tucker, A. M. & Stern, Y. Cognitive reserve in aging. Curr. Alzheimer Res. 8, 354–360. 10.2174/156720511795745320 (2011). DOI: 10.2174/156720511795745320
Chapko, D., McCormack, R., Black, C., Staff, R. & Murray, A. Life-course determinants of cognitive reserve (CR) in cognitive aging and dementia—A systematic literature review. Aging Ment. Health 22, 921–932. 10.1080/13607863.2017.1348471 (2018). DOI: 10.1080/13607863.2017.1348471
Stern, Y. What is cognitive reserve? Theory and research application of the reserve concept. J. Int. Neuropsychol. Soc. 8, 448–460. 10.1017/S1355617702813248 (2002). DOI: 10.1017/S1355617702813248
Cortes, P. & Pan, J. Occupation and gender. In The Oxford Handbook of Women and the Economy (eds Averett, S. L. et al.) 425–452 (Oxford University Press, Oxford, 2018).
Subramaniapillai, S., Almey, A., Rajah, M. N. & Einstein, G. Sex and gender differences in cognitive and brain reserve: Implications for Alzheimer’s disease in women. Front. Neuroendocrinol. 60, 100879. 10.1016/j.yfrne.2020.100879 (2021). DOI: 10.1016/j.yfrne.2020.100879
Kivimäki, M. et al. Cognitive stimulation in the workplace, plasma proteins, and risk of dementia: Three analyses of population cohort studies. BMJ 374, n1804. 10.1136/bmj.n1804 (2021). DOI: 10.1136/bmj.n1804
Dekhtyar, S. et al. A life-course study of cognitive reserve in dementia—From childhood to old age. Am. J. Geriatr. Psychiatry 23, 885–896. 10.1016/j.jagp.2015.02.002 (2015). DOI: 10.1016/j.jagp.2015.02.002
Chatterjee, S. et al. Type 2 diabetes as a risk factor for dementia in women compared with men: A pooled analysis of 23 Million people comprising more than 100,000 cases of dementia. Diabetes Care 39, 300–307. 10.2337/dc15-1588 (2015). DOI: 10.2337/dc15-1588
Gastroentoirology, L. T. & Obesity, H. Obesity: Another ongoing pandemic. Lancet Gastroenterol. Hepatol. 6, 411. 10.1016/S2468-1253(21)00143-6 (2021). DOI: 10.1016/S2468-1253(21)00143-6
WHO. Global report on diabetes (World Health Organization, Geneva, 2016).
Biessels, G. J. & Whitmer, R. A. Cognitive dysfunction in diabetes: How to implement emerging guidelines. Diabetologia 63, 3–9. 10.1007/s00125-019-04977-9 (2020). DOI: 10.1007/s00125-019-04977-9
Bellou, V., Belbasis, L., Tzoulaki, I. & Evangelou, E. Risk factors for type 2 diabetes mellitus: an exposure-wide umbrella review of meta-analyses. PloS one 13, e0194127. 10.1371/journal.pone.0194127 (2018). DOI: 10.1371/journal.pone.0194127
Gilsanz, P. et al. Female sex, early-onset hypertension, and risk of dementia. Neurology 89, 1886–1893. 10.1212/wnl.0000000000004602 (2017). DOI: 10.1212/wnl.0000000000004602
Hébert, R. et al. Vascular dementia. Stroke 31, 1487–1493. 10.1161/01.STR.31.7.1487 (2000). DOI: 10.1161/01.STR.31.7.1487
Whitmer, R. A., Sidney, S., Selby, J., Johnston, S. C. & Yaffe, K. Midlife cardiovascular risk factors and risk of dementia in late life. Neurology 64, 277–281. 10.1212/01.Wnl.0000149519.47454.F2 (2005). DOI: 10.1212/01.Wnl.0000149519.47454.F2
Kimm, H. et al. Mid-life and late-life vascular risk factors and dementia in Korean men and women. Arch. Gerontol. Geriatr. 52, e117–e122. 10.1016/j.archger.2010.09.004 (2011). DOI: 10.1016/j.archger.2010.09.004
Whalley, L. et al. Childhood mental ability and dementia. Neurology 55, 1455–1459. 10.1212/WNL.55.10.1455 (2000). DOI: 10.1212/WNL.55.10.1455
Staff, R. T. et al. Childhood socioeconomic status and adult brain size: Childhood socioeconomic status influences adult hippocampal size. Ann. Neurol. 71, 653–660. 10.1002/ana.22631 (2012). DOI: 10.1002/ana.22631
Sesker, A. A. et al. Pathways from early-life SES to dementia risk in old age: The role of personality. J. Gerontol. Ser. B 77, 850–859. 10.1093/geronb/gbab159 (2021). DOI: 10.1093/geronb/gbab159
WHO. Global action plan on the public health response to dementia 2017–2025 (World Health Organization, Geneva, 2017).
Wallace, L. & Brayne, C. The need for a better global dementia response. Lancet Neurol 21, 115–116. 10.1016/S1474-4422(21)00459-2 (2022). DOI: 10.1016/S1474-4422(21)00459-2
Banks, J., Muriel, A. & Smith, J. P. Attrition and health in ageing studies: Evidence from ELSA and HRS. Longitud. Life Course Stud. 2, 115. 10.14301/llcs.v2i2.115 (2011). DOI: 10.14301/llcs.v2i2.115
Lang, L. et al. Prevalence and determinants of undetected dementia in the community: a systematic literature review and a meta-analysis. BMJ open 7, e011146. 10.1136/bmjopen-2016-011146 (2017). DOI: 10.1136/bmjopen-2016-011146
Schneider, J. A., Arvanitakis, Z., Bang, W. & Bennett, D. A. Mixed brain pathologies account for most dementia cases in community-dwelling older persons. Neurology 69, 2197–2204. 10.1212/01.wnl.0000271090.28148.24 (2007). DOI: 10.1212/01.wnl.0000271090.28148.24
Solomon, A. et al. Advances in the prevention of Alzheimer’s disease and dementia. J. Intern. Med. 275, 229–250. 10.1111/joim.12178 (2014). DOI: 10.1111/joim.12178
Vandenbroucke, J. P. et al. Strengthening the reporting of observational studies in epidemiology (STROBE): Explanation and elaboration. Ann. Intern. Med. 147, 163–194. 10.7326/0003-4819-147-8-200710160-00010-w1 (2007). DOI: 10.7326/0003-4819-147-8-200710160-00010-w1
