Transitions across cognitive states and death among older adults in relation to education: A multistate survival model using data from six longitudinal studies
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Introduction: This study examines the role of educational attainment, an indicator of cognitive reserve, on transitions in later life between cognitive states (normal Mini‐Mental State Examination (MMSE), mild MMSE impairment, and severe MMSE impairment) and death. Methods: Analysis of six international longitudinal studies was performed using a coordinated approach. Multistate survival models were used to estimate the transition patterns via different cognitive states. Life expectancies were estimated. Results: Across most studies, a higher level of education was associated with a lower risk of transitioning from normal MMSE to mild MMSE impairment but was not associated with other transitions. Those with higher levels of education and socioeconomic status had longer nonimpaired life expectancies. Discussion: This study highlights the importance of education in later life and that early life experiences can delay later compromised cognitive health. This study also demonstrates the feasibility and benefit in conducting coordinated analysis across multiple studies to validate findings.
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Multi-state modeling can estimate Alzheimer's disease duration from stage progression and mortality rates without requiring very long follow-up.
“We estimated disease duration by applying a multi-state modeling approach, which has been previously used in AD research [22-25], and can offer an estimate of disease duration based on stage progression and mortality rates in the absence of very long follow-up duration.”
From Duration of preclinical, prodromal, and dementia stages of Alzheimer's disease in relation to age, sex, and <i>APOE</i> genotype (2019) · cites this paper as [23]
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Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Albert, M. S., DeKosky, S. T., Dickson, D., Dubois, B., Feldman, H. H., Fox, N. C., Gamst, A., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.008 · Cited by 10,152 · cited 1× · see citing works
“The use of clinical guidelines for the diagnosis of MCI and dementia would have been preferred [51], but this information was not available in most of the studies.”
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
Global prevalence of dementia: a Delphi consensus study
Ferri, C. P., Prince, M. J., Brayne, C., Brodaty, H., Fratiglioni, L., Ganguli, M., Hall, K. S., Hasegawa, K., Hendrie, H. C., Huang, Y., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67889-0 · Cited by 5,336 · see citing works
What is cognitive reserve? Theory and research application of the reserve concept
STERN, Y. (2002) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617702813248 · Cited by 3,951 · see citing works
Cognitive reserve in ageing and Alzheimer's disease
Stern, Y. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70191-6 · Cited by 3,557 · cited 2× · see citing works
“Thus, cognitive reserve appears to delay the onset of dementia, but once a critical threshold is reached, the progression of dementia in terms of effects on cognitive decline is more rapid which in turn leads to fewer years before death [19].”
BackgroundAlbert, M., DeKosky, S. T., Dickson, D. W., Dubois, B., Feldman, H., Fox, N. C., Gamst, A. C., Holtzman, D. M., Jagust, W. J., Petersen, R. C., et al. (2013) · FOCUS The Journal of Lifelong Learning in Psychiatry · doi:10.1176/appi.focus.11.1.96 · Cited by 2,630 · see citing works
Dementia: a public health priority
Acosta, D. M., Krishnamoorthy, E. S., Wortmann, M., Prince, M. J., & Saxena, S. (2012) · Cited by 1,955 · see citing works
Influence of education and occupation on the incidence of Alzheimer's disease
Stern, Y. (1994) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.1994.03510370056032 · Cited by 1,434 · see citing works
Multi-State Models for Panel Data: The msm Package for R
Jackson, C. H. (2011) · Journal of Statistical Software · doi:10.18637/jss.v038.i08 · Cited by 1,351 · see citing works
Brain reserve and dementia: a systematic review
VALENZUELA, M. J., & SACHDEV, P. (2006) · Psychological Medicine · doi:10.1017/s0033291705006264 · Cited by 932 · cited 1× · see citing works
“In some studies, the magnitude of the cognitive reserve is assumed to be related to educational attainment and cognitive engagement [8, 17-21], although a wide range of risk factors and molecular markers can influence reserve [22, 23].”
BackgroundEfficiency, capacity, compensation, maintenance, plasticity: emerging concepts in cognitive reserve
Barulli, D., & Stern, Y. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.08.012 · Cited by 924 · see citing works
A Comparison of the Prevalence of Dementia in the United States in 2000 and 2012
Langa, K. M., Larson, E. B., Crimmins, E. M., Faul, J. D., Levine, D. A., Kabeto, M. U., & Weir, D. R. (2017) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2016.6807 · Cited by 910 · see citing works
Meng, X., & D’Arcy, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038268 · Cited by 893 · see citing works
Overview and Findings from the Rush Memory and Aging Project
Bennett, D. A., Schneider, J. A., Buchman, A. S., Barnes, L. L., Boyle, P. A., & Wilson, R. S. (2012) · Current Alzheimer Research · doi:10.2174/156720512801322663 · Cited by 837 · see citing works
Self-citationSubstantial Genetic Influence on Cognitive Abilities in Twins 80 or More Years Old
McClearn, G. E., Johansson, B. E. A., Berg, S., Pedersen, N. L., Ahern, F. M., Petrill, S. A., & Plomin, R. J. (1997) · Science · doi:10.1126/science.276.5318.1560 · Cited by 727 · see citing works
Self-citationRate of memory decline in AD is related to education and occupation: Cognitive reserve?
Stern, Y., Albert, S., Tang, M.-X., & Tsai, W.-Y. (1999) · Neurology · doi:10.1212/wnl.53.9.1942 · Cited by 557 · see citing works
Cohort Profile: The Longitudinal Aging Study Amsterdam
Huisman, M. A., Poppelaars, J. L., van der Horst, M., Beekman, A. T. F., Brug, J., van Tilburg, T. G., & Deeg, D. J. H. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyq219 · Cited by 467 · see citing works
Self-citationSocial and Leisure Activities and Risk of Dementia: A Prospective Longitudinal Study
Fabrigoule, C., Letenneur, L., Dartigues, J. F., Zarrouk, M., Commenges, D., & Barberger‐Gateau, P. (1995) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1995.tb06093.x · Cited by 418 · see citing works
Cohort Profile: The Lothian Birth Cohorts of 1921 and 1936
Deary, I. J., Gow, A. J., Pattie, A., & Starr, J. M. (2011) · International Journal of Epidemiology · doi:10.1093/ije/dyr197 · Cited by 410 · see citing works
Self-citationThe Rush Memory and Aging Project: Study Design and Baseline Characteristics of the Study Cohort
Bennett, D. A., Schneider, J. A., Buchman, A. S., de Leon, C. F. M., Bienias, J. L., & Wilson, R. S. (2005) · Neuroepidemiology · doi:10.1159/000087446 · Cited by 405 · see citing works
Self-citationEducation, the brain and dementia: neuroprotection or compensation?
Brayne, C., Ince, P. G., Keage, H. A. D., McKeith, I. G., Matthews, F. E., Polvikoski, T. M., & Sulkava, R. O. (2010) · Brain · doi:10.1093/brain/awq185 · Cited by 392 · see citing works
Life-span cognitive activity, neuropathologic burden, and cognitive aging
Wilson, R. S., Boyle, P. A., Yu, L., Barnes, L. L., Schneider, J. A., & Bennett, D. A. (2013) · Neurology · doi:10.1212/wnl.0b013e31829c5e8a · Cited by 296 · see citing works
Self-citationEducation delays accelerated decline on a memory test in persons who develop dementia
Hall, C. B., Derby, C., LeValley, A., Katz, M. J., Verghese, J., & Lipton, R. B. (2007) · Neurology · doi:10.1212/01.wnl.0000278163.82636.30 · Cited by 257 · see citing works
Stern, Y., Tang, M. X., Denaro, J., & Mayeux, R. (1995) · Annals of Neurology · doi:10.1002/ana.410370508 · Cited by 252 · see citing works
Hofer, S. M., & Piccinin, A. M. (2009) · Psychological Methods · doi:10.1037/a0015566 · Cited by 248 · see citing works
Self-citationCognitive Reserve and Alzheimer’s Disease
Xu, W., Yu, J., Tan, M., & Tan, L. (2014) · Molecular Neurobiology · doi:10.1007/s12035-014-8720-y · Cited by 240 · see citing works
Higher brain <i>BDNF</i> gene expression is associated with slower cognitive decline in older adults
Buchman, A. S., Yu, L., Boyle, P. A., Schneider, J. A., De Jager, P. L., & Bennett, D. A. (2016) · Neurology · doi:10.1212/wnl.0000000000002387 · Cited by 239 · see citing works
Self-citationThe Longitudinal Aging Study Amsterdam: cohort update 2016 and major findings
Hoogendijk, E. O., Deeg, D. J. H., Poppelaars, J. L., van der Horst, M. H. L., Groenou, M. I. B. V., Comijs, H. C., Pasman, H. R. W., van Schoor, N. M., Suanet, B., Thomése, F., et al. (2016) · European Journal of Epidemiology · doi:10.1007/s10654-016-0192-0 · Cited by 227 · see citing works
Self-citationCanevelli, M., Grande, G., Lacorte, E., Quarchioni, E., Cesari, M., Mariani, C., Bruno, G., & Vanacore, N. (2016) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2016.06.020 · Cited by 226 · see citing works
Ten-year risk of dementia in subjects with mild cognitive impairment
Visser, P. J., Kester, A. D. M., JOLLES, J., & Verhey, F. R. J. (2006) · Neurology · doi:10.1212/01.wnl.0000238517.59286.c5 · Cited by 217 · see citing works
Reversion From Mild Cognitive Impairment to Normal Cognition
Malek‐Ahmadi, M. H. (2016) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0000000000000145 · Cited by 190 · see citing works
A lifetime of intelligence: Follow-up studies of the Scottish mental surveys of 1932 and 1947.
Deary, I. J., Whalley, L. J., & Starr, J. M. (2009) · American Psychological Association eBooks · doi:10.1037/11857-000 · Cited by 185 · see citing works
Self-citationGifford, K. A., Liu, D., Lu, Z., Tripodis, Y., Cantwell, N. G., Palmisano, J. N., Kowall, N. W., & Jefferson, A. L. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.02.007 · Cited by 160 · see citing works
Predictive validity and diagnostic stability of mild cognitive impairment subtypes
Han, J. W., Kim, T. H., Lee, S. B., Park, J. H., Lee, J. J., Huh, Y., Park, J. E., Jhoo, J. H., Lee, D. Y., & Kim, K. W. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.08.007 · Cited by 131 · see citing works
Education modifies the association of amyloid but not tangles with cognitive function
Bennett, D. A., Schneider, J. A., Wilson, R. S., Bienias, J. L., & Arnold, S. E. (2005) · Neurology · doi:10.1212/01.wnl.0000176286.17192.69 · Cited by 121 · see citing works
Self-citationMild Cognitive Impairment in Older Adults
Geda, Y. E. (2012) · Current Psychiatry Reports · doi:10.1007/s11920-012-0291-x · Cited by 118 · see citing works
Marioni, R., Valenzuela, M., van den Hout, A., Brayne, C., Matthews, F., & Study, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0050940 · Cited by 118 · see citing works
Lifetime principal occupation and risk of Alzheimer's disease in the Kungsholmen project
Qiu, C., Karp, A., Strauss, E. I. V., Winblad, B. G., Fratiglioni, L., & Bellander, T. (2003) · American Journal of Industrial Medicine · doi:10.1002/ajim.10159 · Cited by 113 · see citing works
Psychiatric epidemiology of old age: the H70 study – the NAPE Lecture 2003
Skoog, I. G. (2003) · Acta Psychiatrica Scandinavica · doi:10.1046/j.1600-0447.2003.00260.x · Cited by 92 · see citing works
Self-citationJohansson, B. E. A., Hofer, S. M., Allaire, J. C., Maldonado‐Molina, M. M., Piccinin, A. M., Berg, S., Pedersen, N. L., & McClearn, G. E. (2004) · Psychology and Aging · doi:10.1037/0882-7974.19.1.145 · Cited by 73 · see citing works
Self-citationResidual decline in cognition after adjustment for common neuropathologic conditions.
Yu, L., Boyle, P. A., Segawa, E., Leurgans, S. E., Schneider, J. A., Wilson, R. S., & Bennett, D. A. (2014) · Neuropsychology · doi:10.1037/neu0000159 · Cited by 71 · see citing works
Self-citationMulti-State Survival Models for Interval-Censored Data
van den Hout, A. (2016) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315374321 · Cited by 66 · see citing works
Estimation of life expectancies using continuous-time multi-state models
van den Hout, A., Chan, M. S., & Matthews, F. E. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2019.06.004 · Cited by 66 · see citing works
Scarmeas, N., Zarahn, E., Anderson, K. E., Honig, L. S., Park, A., Hilton, J., Flynn, J., Sackeïm, H. A., & Stern, Y. (2004) · Archives of Neurology · doi:10.1001/archneur.61.1.73 · Cited by 57 · see citing works
Yu, L., Boyle, P. A., Wilson, R. S., Segawa, E., Leurgans, S. E., Jager, P. L. D., & Bennett, D. A. (2012) · Neuroepidemiology · doi:10.1159/000339365 · Cited by 54 · see citing works
Self-citationRole of cognitive reserve in progression from mild cognitive impairment to dementia
Allegri, R. F., Taragano, F. E., Krupitzki, H., Serrano, C. M., Dillon, C., Sarasola, D., Feldman, M., Tufró, G., Martelli, M., & Sanchez, V. (2010) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642010dn40100005 · Cited by 53 · cited 1× · see citing works
“Several risk factors producing substantial inter-individual differences have been identified for their association with cognitive decline and dementia, including occupational attainment [6-8], education [8-12], and other life experiences [13, 14].”
BackgroundEducation associated with a delayed onset of terminal decline
Terrera, G. M., Minett, T., Brayne, C., & Matthews, F. E. (2013) · Age and Ageing · doi:10.1093/ageing/aft150 · Cited by 37 · see citing works
Effect of common neuropathologies on progression of late life cognitive impairment
Yu, L., Boyle, P. A., Leurgans, S. E., Schneider, J. A., Kryscio, R. J., Wilson, R. S., & Bennett, D. A. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.04.006 · Cited by 29 · see citing works
Self-citationBig data, aging, and dementia: Pathways for international harmonization on data sharing
Khachaturian, A. S., Meranus, D. H., Kukull, W. A., & Khachaturian, Z. S. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.09.001 · Cited by 19 · see citing works
Dykiert, D., Der, G., Starr, J. M., & Deary, I. J. (2016) · Psychological Medicine · doi:10.1017/s0033291716001045 · Cited by 18 · see citing works
Self-citationIntellectual demand and formal education as: cognitive protection factors in Alzheimer's disease
Wajman, J. R., & Bertolucci, P. H. F. (2010) · Dementia & Neuropsychologia · doi:10.1590/s1980-57642010dn40400011 · Cited by 14 · see citing works
Cederlof, R., & Lorich, U. (1978) · PubMed · Cited by 13 · see citing works
NINE-YEAR FOLLOW-UP OF SPECIFIC PHOBIA IN A POPULATION SAMPLE OF OLDER PEOPLE
Sigström, R., Skoog, I. G., Karlsson, B., Nilsson, J., & Östling, S. (2015) · Depression and Anxiety · doi:10.1002/da.22459 · Cited by 9 · see citing works
Self-citation
Flagged first, then by citations
1 of the 60 references couldn’t be matched to a known paper.
Research works printed but not linked: 1
- [36]Scottish Council for Research in Education. The intelligence of Scottish children: A National Survey of an age-group. London: University of London Press; 1933.
Cited by
Sorted by citations
Vermunt, L., Sikkes, S. A. M., van den Hout, A., Handels, R., Bos, I., van der Flier, W. M., Kern, S., Ousset, P., Maruff, P., Skoog, I., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2019.04.001 · Cited by 570 · see citing works
Self-citationCognitive reserve and clinical progression in Alzheimer disease
van Loenhoud, A. C., van der Flier, W. M., Wink, A. M., Dicks, E., Groot, C., Twisk, J. W. R., Barkhof, F., Scheltens, P., Ossenkoppele, R., & Initiative, A. D. N. (2019) · Neurology · doi:10.1212/wnl.0000000000007821 · Cited by 149 · see citing works
Estimation of life expectancies using continuous-time multi-state models
van den Hout, A., Chan, M. S., & Matthews, F. E. (2019) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2019.06.004 · Cited by 66 · see citing works
Determinants of cognitive and brain resilience to tau pathology: a longitudinal analysis
Bocancea, D. I., Svenningsson, A. L., van Loenhoud, A. C., Groot, C., Barkhof, F., Strandberg, O. T., Smith, R. A., Initiative, A. D. N., Weiner, M. W., Aisen, P., et al. (2023) · Brain · doi:10.1093/brain/awad100 · Cited by 57 · see citing works
García, M. A., Downer, B. G., Chiu, C., Saenz, J. L., Ortiz, K. S., & Wong, R. (2020) · The Gerontologist · doi:10.1093/geront/gnaa112 · Cited by 49 · see citing works
van Loenhoud, A. C., Groot, C., Bocancea, D. I., Barkhof, F., Teunissen, C. E., Scheltens, P., van der Flier, W. M., & Ossenkoppele, R. (2022) · Neurology · doi:10.1212/wnl.0000000000200116 · Cited by 46 · see citing works
Hoogendijk, E. O., Rijnhart, J. J. M., Skoog, J., Robitaille, A., van den Hout, A., Ferrucci, L., Huisman, M. A., Skoog, I. G., Piccinin, A. M., Hofer, S. M., et al. (2019) · Experimental Gerontology · doi:10.1016/j.exger.2019.110783 · Cited by 46 · see citing works
Self-citationThe protective impact of education on brain structure and function in Alzheimer’s disease
Zhu, W., Li, X., Li, X., Wang, H., Li, M., Gao, Z., Wu, X., Tian, Y., Zhou, S., Wang, K., et al. (2021) · BMC Neurology · doi:10.1186/s12883-021-02445-9 · Cited by 43 · see citing works
Incidence of Mild Cognitive Impairment, Conversion to Probable Dementia, and Mortality
Zhang, Y., Natale, G., & Clouston, S. (2021) · American Journal of Alzheimer s Disease & Other Dementias® · doi:10.1177/15333175211012235 · Cited by 43 · see citing works
Self-citationThe association between mastication and mild cognitive impairment in Korean adults
Kim, M. S., Oh, B., Yoo, J. W., & Han, D. (2020) · Medicine · doi:10.1097/md.0000000000020653 · Cited by 41 · see citing works
Hoogendijk, E. O., van der Noordt, M., Onwuteaka-Philipsen, B. D., Deeg, D. J. H., Huisman, M. A., Enroth, L., & Jylhä, M. K. (2018) · Experimental Gerontology · doi:10.1016/j.exger.2018.12.015 · Cited by 39 · see citing works
Self-citationBirkenbihl, C. J., Salimi, Y., Fröhlich, H., Initiative, F. T. J. A. D. N., & Initiative, T. A. D. N. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12387 · Cited by 38 · see citing works
Yoneda, T. B., Lewis, N. A., Knight, J. E., Rush, J., Vendittelli, R., Kleineidam, L., Hyun, J., Piccinin, A. M., Hofer, S. M., Hoogendijk, E. O., et al. (2020) · The Journals of Gerontology Series A · doi:10.1093/gerona/glaa268 · Cited by 37 · see citing works
Self-citationCoordinated data analysis: Knowledge accumulation in lifespan developmental psychology.
Graham, E. K., Willroth, E. C., Weston, S. J., Terrera, G. M., Clouston, S., Hofer, S. M., Mroczek, D. K., & Piccinin, A. M. (2021) · Psychology and Aging · doi:10.1037/pag0000612 · Cited by 31 · see citing works
Self-citationEffects of Cognitive Reserve in Alzheimer’s Disease and Cognitively Unimpaired Individuals
Lee, D. H., Seo, S. W., Roh, J. H., Oh, M., Oh, J. S., Oh, S. J., Kim, J. S., & Jeong, Y. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.784054 · Cited by 31 · see citing works
Hayes‐Larson, E., Ackley, S. F., Zimmerman, S. C., Ospina‐Romero, M., Glymour, M. M., Graff, R. E., Witte, J. S., Kobayashi, L. C., & Mayeda, E. R. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12168 · Cited by 29 · see citing works
Life expectancy with and without dementia in persons with mild cognitive impairment in the community
Mooldijk, S. S., Yaqub, A., Wolters, F. J., Licher, S., Koudstaal, P. J., Ikram, M. K., & Ikram, M. A. (2021) · Journal of the American Geriatrics Society · doi:10.1111/jgs.17520 · Cited by 28 · see citing works
Gait speed, handgrip strength, and cognitive impairment among older women – A multistate analysis
Luo, J., Su, L., Ndeke, J. M., Wang, F., & HENDRYX, M. S. (2022) · Experimental Gerontology · doi:10.1016/j.exger.2022.111947 · Cited by 27 · see citing works
Arora, S., Patten, S. B., Mallo, S. C., Lojo‐Seoane, C., Felpete, A., Facal-Mayo, D., & Pereiro, A. X. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102487 · Cited by 24 · see citing works
Gautherot, M., Kuchcinski, G., Bordier, C., Sillaire, A. R., Delbeuck, X., Leroy, M., Leclerc, X., Pruvo, J., Pasquier, F., & Lopes, R. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.729635 · Cited by 22 · see citing works
Chen, Y., Qi, D., Qin, T., Chen, K., Ai, M., Li, X., He, L., Zhang, J., Mao, H., Yang, Y., et al. (2018) · Current Alzheimer Research · doi:10.2174/1567205015666181022094158 · Cited by 20 · see citing works
Cohort and Period Effects as Explanations for Declining Dementia Trends and Cognitive Aging
Clouston, S., Terrera, G. M., Rodgers, J. L., O’Keefe, P., Mann, F. D., Lewis, N. A., Wänström, L., Kaye, J. A., & Hofer, S. M. (2021) · Population and Development Review · doi:10.1111/padr.12409 · Cited by 19 · see citing works
Self-citationCognitive, physical and disability trajectories in community-dwelling elderly people
Ferraro, O. E., Guaita, A., & Villani, S. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-01804-3 · Cited by 19 · see citing works
Handels, R. L. H., Green, C., Gustavsson, A., Herring, W. L., Winblad, B. G., Wimo, A. B., Sköldunger, A., Karlsson, A., Anderson, R., Belger, M. A., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12811 · Cited by 18 · see citing works
Zhang, L., Gao, F., Zhang, Y., Hu, P., Yao, Y., Zhang, Q., He, Y., Shang, Q., & Zhang, Y. (2022) · Frontiers in Neurology · doi:10.3389/fneur.2022.944205 · Cited by 16 · see citing works
(Healthy) Aging Patterns in Europe: A Multistate Health Transition Approach
Solé-Auró, A., & Gumà, J. (2022) · Journal of Population Ageing · doi:10.1007/s12062-022-09403-4 · Cited by 16 · see citing works
Li, Y., Dekhtyar, S., Grande, G., Kalpouzos, G., Gregorio, C., Laukka, E. J., & Qiu, C. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13910 · Cited by 16 · see citing works
Zhang, Y., Natale, G., & Clouston, S. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201196 · Cited by 16 · see citing works
Self-citationThe Role of Dementia Diagnostic Delay in the Inverse Cancer–Dementia Association
Hayes‐Larson, E., Shaw, C. L., Ackley, S. F., Zimmerman, S. C., Glymour, M. M., Graff, R. E., Witte, J. S., Kobayashi, L. C., & Mayeda, E. R. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab341 · Cited by 13 · see citing works
Yang, K. Y., Chen, G., Sheng, C., Xie, Y., Li, Y., Hu, X., Sun, Y., & Han, Y. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200082 · Cited by 15 · see citing works
Rahmani, A., Najand, B., Sonnega, A. J., Akhlaghipour, G., Mendez, M. F., Assari, S., & Initiative, A. D. N. (2022) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-022-01499-w · Cited by 14 · see citing works
Lin, Y., Initiative, A. D. N., Zeng, Q., Hu, M., Peng, G., & Luo, B. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-201244 · Cited by 14 · see citing works
Seil, K., Yu, S., & Alper, H. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16081401 · Cited by 13 · see citing works
Yao, X., Han, D., & Lu, Q. (2025) · BMC Geriatrics · doi:10.1186/s12877-025-06380-z · Cited by 13 · see citing works
Penalised maximum likelihood estimation in multi-state models for interval-censored data
van den Hout, A., Marra, G., & Machado, R. (2021) · UCL Discovery (University College London) · Cited by 12 · see citing works
Self-citationSharma, S., Hale, J. M., Myrskylä, M., & Kulu, H. (2023) · Demography · doi:10.1215/00703370-10941414 · Cited by 12 · see citing works
Grant, A., Aubin, M., Buhrmann, R., Kergoat, M., Li, G., & Freeman, E. E. (2021) · Ophthalmic Epidemiology · doi:10.1080/09286586.2021.1974494 · Cited by 12 · see citing works
Wang, Y., Li, M., Haughton, D., & Kazis, L. E. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306270 · Cited by 11 · see citing works
Veronelli, L., Tosi, G., & Romano, D. (2024) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2024.12.002 · Cited by 11 · see citing works
Socioeconomic inequalities linked to the transitioning to neurocognitive disorders and mortality
Gireesh, A., Sacker, A., McMunn, A., Bhatt, R., & Cadar, D. (2024) · Scientific Reports · doi:10.1038/s41598-024-74125-w · Cited by 10 · see citing works
Machado‐Fragua, M. D., Dugravot, A., Dumurgier, J., Mika Kivimaki, B., Sommerlad, A., Landré, B., Fayossé, A., Sabia, S., & Singh‐Manoux, A. (2021) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(21)00117-3 · Cited by 9 · see citing works
Self-citationShort-term Montreal Cognitive Assessment predicts functional outcome after endovascular therapy
Zhang, M., Wang, K., Xie, L., & Pan, X. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.808415 · Cited by 11 · see citing works
Lewis, N. A., Hofer, S. M., Bennett, D. A., & Hill, P. L. (2024) · Aging Neuropsychology and Cognition · doi:10.1080/13825585.2024.2373846 · Cited by 10 · see citing works
Self-citationNon-Drug and Non-Invasive Therapeutic Options in Alzheimer’s Disease
Şovrea, A. S., Boşca, A. B., Dronca, E., Constantin, A.-M., Crintea, A., Suflețel, R. T., Lupean, R.-A., Ștefan, P.-A., Onofrei, M. M., Tschall, C., et al. (2025) · Biomedicines · doi:10.3390/biomedicines13010084 · Cited by 8 · see citing works
Howlett, J., Hill, S. M., Ritchie, C. W., & Tom, B. D. M. (2021) · Frontiers in Big Data · doi:10.3389/fdata.2021.676168 · Cited by 7 · see citing works
Yao, S., Zheng, P., Sun, N., Cai, J., Wang, H., & Yang, J. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.672548 · Cited by 6 · see citing works
Sun, N., Jia, R., Guo, C.-Y., Sun, T.-D., Dong, X.-X., Li, L., & Yang, P. (2020) · Nursing Open · doi:10.1002/nop2.801 · Cited by 7 · see citing works
Li, L., Ni, L., Wang, X., & Sheng, C. (2022) · Neuroscience · doi:10.1016/j.neuroscience.2022.09.017 · Cited by 5 · see citing works
Schaeffer, M. J., MacDonald, S. W. S., & Paterson, T. S. E. (2024) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617723011505 · Cited by 4 · see citing works
Burn, O., Molloy, K., Kanekiyo, M., Parker, C., Rothwell, S. W., Pan, J. J., Trueman, D., & Ritchie, C. W. (2026) · Journal of Medical Economics · doi:10.1080/13696998.2025.2600875 · Cited by 3 · see citing works
Sidenkova, A. P., Litvinenko, V., Bazarnyi, V. V., Rezaykin, A. V., Zakharov, A. V., Baranskaya, L., & Babushkina, E. I. (2024) · Consortium Psychiatricum · doi:10.17816/cp15526 · Cited by 3 · see citing works
Popp, Z., Ang, T. F. A., Hwang, P. H., Au, R., & Chen, J. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251352216 · Cited by 3 · see citing works
Zhou, X., Li, J., Yu, C., Fang, W., Xie, Y., Wang, L., Shen, S., Zhou, W., Zhu, L., Wang, T., et al. (2022) · Behavioural Neurology · doi:10.1155/2022/7566033 · Cited by 3 · see citing works
Łuszczyńska, M. (2020) · Routledge eBooks · doi:10.4324/9781003051169 · Cited by 3 · see citing works
Shi, N., Bakulski, K. M., Burke, J. F., & Brouwer, A. F. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251324236 · Cited by 2 · see citing works
Penalised maximum likelihood estimation for multi-state models
Machado, M., & José, R. (2018) · Cited by 2 · see citing works
The Longitudinal Aging Study Amsterdam (LASA): An Overview
Timmermans, E. J., Hoogendijk, E. O., & Huisman, M. A. (2019) · Springer eBooks · doi:10.1007/978-3-319-69892-2_1090-1 · Cited by 2 · see citing works
Self-citationCognitive health and protective factors: from a life expectancy approach
Rueda, S., Araya, A.-X., & Miranda‐Castillo, C. (2026) · Social Science & Medicine · doi:10.1016/j.socscimed.2026.119153 · Cited by 1 · see citing works
Hahad, O., Tüscher, O., & Heinrich, I. (2025) · PubMed Central · doi:10.25673/120909 · Cited by 1 · see citing works
Förstl, H., & Förstl, S. (2021) · Springer Reference Pflege, Therapie, Gesundheit · doi:10.1007/978-3-662-62426-5_58 · Cited by 1 · see citing works
Chen, G., Li, L., Yang, K. Y., & Han, Y. (2021) · Current Alzheimer Research · doi:10.2174/1567205018666211001105425 · Cited by 1 · see citing works
Sun, N., Jia, R., Guo, C., Sun, T., Dong, X., Li, L., & Yang, P. (2020) · Research Square · doi:10.21203/rs.3.rs-127761/v1 · Cited by 1 · see citing works
Penalised maximum likelihood estimation in multi-state models for interval-censored data
Machado, R., van den Hout, A., & Marra, G. (2020) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2020.107057
Self-citationChen, G., Liu, C.-H., Yang, K. Y., Jiang, J., & Han, Y. (2020) · Research Square · doi:10.21203/rs.3.rs-49466/v1
The Longitudinal Aging Study Amsterdam (LASA): An Overview
Timmermans, E. J., Hoogendijk, E. O., & Huisman, M. A. (2021) · Springer eBooks · doi:10.1007/978-3-030-22009-9_1090
Self-citationEducation and marriage synergistically protect oldest old against severe cognitive impairmentPreprint
Sun, N., Jia, R., Guo, C.-Y., Sun, T.-D., Dong, X.-X., Li, L., & Yang, P. (2019) · doi:10.21203/rs.2.16104/v1
Förstl, H., & Förstl, S. (2020) · Springer Reference Pflege, Therapie, Gesundheit · doi:10.1007/978-3-662-55793-8_58-1
Memory trajectories and critical windows for cognitive intervention
Facal-Mayo, D., & Mateos, R. (2022) · International Psychogeriatrics · doi:10.1017/s1041610222001211
Correlation between Nutritional Status and Mental Well-Being among Older Adults
Wang, H.-D., Huang, S.-T., Tseng, L.-C., Hsiao, S., Chou, Y., Tsai, C., & Yang, T. (2026) · Journal of Medical Sciences · doi:10.4103/jmedsci.jmedsci_33_26
Zhu, W., Li, X., Li, X., Wang, H., Li, M., Gao, Z., Wu, X., Tian, Y., Zhou, S., Wang, K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16909719
Zhu, W., Li, X., Li, X., Wang, H., Li, M., Gao, Z., Wu, X., Tian, Y., Zhou, S., Wang, K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16909725
Zhu, W., Li, X., Li, X., Wang, H., Li, M., Gao, Z., Wu, X., Tian, Y., Zhou, S., Wang, K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16909728
Zhu, W., Li, X., Li, X., Wang, H., Li, M., Gao, Z., Wu, X., Tian, Y., Zhou, S., Wang, K., et al. (2021) · Figshare · doi:10.6084/m9.figshare.16909722
Cao, N., Yu, L., & Pan, C. (2026) · Humanities and Social Sciences Communications · doi:10.1057/s41599-026-06888-8
Cognitive trajectories and mortality risk in older adults: a 9-year follow-up study
Cipolli, G. C., de Assumpção, D., Aprahamian, I., Alzahrani, M. K., Corona, L. P., Duarte, Y. A. D. O., Yassuda, M. S., & Xue, Q. (2026) · GeroScience · doi:10.1007/s11357-026-02349-x
Liu, Z., Wang, L., & Guo, P. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1913857
- Authors
- Robitaille, A., van den Hout, A., Machado, R. J. M., Bennett, D. A., Čukić, I., Deary, I. J., Hofer, S. M., Hoogendijk, E. O., Huisman, M., Johansson, B., Koval, A. V., van der Noordt, M., Piccinin, A. M., Rijnhart, J. J. M., Singh‐Manoux, A., Skoog, J., Skoog, I., Starr, J., Vermunt, L., Clouston, S., & Muniz Terrera, G.
- Affiliations
- University of Victoria (CA)
- Department of Statistical Science University College London London UK
- University College London (GB)
- Rush University Medical Center (US)
- University of Edinburgh (GB)
- Oregon Health & Science University (US)
- Amsterdam Public Health (NL)
- University of Gothenburg (SE)
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute VU University Medical Center Amsterdam The Netherlands
- Inserm (FR)
- Alzheimer Scotland (GB)
- Amsterdam UMC Location Vrije Universiteit Amsterdam (NL)
- Stony Brook University (US)
- Department of Psychology University of Victoria Victoria BC Canada
- Corresponding author
- Robitaille, Annie
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2018-02-03
- Volume
- 14
- Issue
- 4
- Pages
- 462-472
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC6377940
- OpenAlex
- W2785983352
- Cited by
- 77
- References
- 60
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 8 · 2023: 2 · 2022: 11 · 2021: 25 · 2020: 10 · 2019: 7 · 2018: 3
- FWCI
- 1.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Alzheimer s & Dementia (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- VU Research Portal (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- National Institutes of Health (P01AG043362, AG08861)
- Forskningsrådet för Arbetsliv och Socialvetenskap
- Adlerbertska Stiftelserna
- Stiftelsen Handlanden Hjalmar Svenssons
- Knut och Alice Wallenbergs Stiftelse
- Wenner-Gren Stiftelserna
- Stiftelserna Wilhelm och Martina Lundgrens
- Swedish Brain Power
- Biotechnology and Biological Sciences Research Council (Wave 1: SR176)
- Chief Scientist Office (Wave 3: CYB/4/505, Wave 4: ETM/55)
- Medical Research Council (Wave 5: R42550)
- British Heart Foundation (RG/13/2/30098)
- Vetenskapsrådet (11267, 825‐2007‐7462, 825‐2012‐5041, 2013‐8717, 2015‐0283)
- Forskningsrådet om Hälsa, Arbetsliv och Välfärd (2001‐2849, 2005‐0762, 2008‐1210, 2001‐2835, AGECAP 2013‐2300, 2013‐2496, Epilife 2006‐1506)
- Alzheimer's Association (IIRG‐03‐6168)
- Stiftelsen Söderström Königska Sjukhemmet
- Stiftelsen för Gamla Tjänarinnor
- Sahlgrenska Universitetssjukhuset
- Riksbankens Jubileumsfond (P14‐0824:1)
- National Institute on Aging (R01AG17917, R01AG15819, R01AG22018, R01AG24480, R01AG24871, R01AG26916, R01AG33678, R01AG34374, R21AG30765, K23AG23040)
- Illinois Department of Public Health
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Keywords
- educational attainment, cognitive reserve
- MeSH terms
- Cognitive Aging, Aged, Aged, 80 and over, Cognition, Dementia, Educational Status, Female, Humans, Longitudinal Studies, Male, Mental Status Schedule, Risk Factors, Survival Analysis, Cognitive Reserve, Cognitive Dysfunction, Protective Factors
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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