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Investigation of frailty as a moderator of the relationship between neuropathology and dementia in Alzheimer's disease: a cross-sectional analysis of data from the Rush Memory and Aging Project
Open accessAbstract
Background Some people with substantial Alzheimer's disease pathology at autopsy had shown few characteristic clinical symptoms or signs of the disease, whereas others with little Alzheimer's disease pathology have been diagnosed with Alzheimer's dementia. We aimed to examine whether frailty, which is associated with both age and dementia, moderates the relationship between Alzheimer's disease pathology and Alzheimer's dementia.Methods We did a cross-sectional analysis of data from participants of the Rush Memory and Aging Project, a clinical-pathological cohort study of older adults (older than 59 years) without known dementia at baseline, living in Illinois, USA. Participants in the cohort study underwent annual neuropsychological and clinical evaluations. In the present cross-sectional analysis, we included those participants who did not have any form of dementia or who had Alzheimer's dementia at the time of their last clinical assessment and who had died and for whom complete autopsy data were available. Alzheimer's disease pathology was quantified by a summary measure of neurofibrillary tangles and neuritic and diffuse plaques. Clinical diagnosis of Alzheimer's dementia was based on clinician consensus. Frailty was operationalised retrospectively using health variable information obtained at each clincial evaluation using the deficit accumulation approach (41-item frailty index). Logistic regression and moderation modelling were used to assess relationships between Alzheimer's disease pathology, frailty, and Alzheimer's dementia. All analyses were adjusted for age, sex, and education.Findings Up to data cutoff (Jan 20, 2017), we included 456 participants (mean age at death 89·7 years [SD 6·1]; 316 [69%] women). 242 (53%) had a diagnosis of possible or probable Alzheimer's dementia at their last clinical assessment. Frailty (odds ratio 1·76, 95% CI 1·54-2·02; p<0·0001) and Alzheimer's disease pathology (4·81, 3·31-7·01; p<0·0001) were independently associated with Alzheimer's dementia, after adjusting for age, sex, and education. When frailty was added to the model for the relationship between Alzheimer's disease pathology and Alzheimer's dementia, model fit improved (p<0·0001). There was a significant interaction between frailty and Alzheimer's disease pathology (odds ratio 0·73, 95% CI 0·57-0·94; p interaction=0·015). People with an increased frailty score had a weakened direct link between Alzheimer's disease pathology and Alzheimer's dementia; that is, people with a low amount of frailty were better able to tolerate Alzheimer's disease pathology, whereas those with higher amounts of frailty were more likely both to have more Alzheimer's disease pathology and for it to be expressed as dementia.Interpretation The degree of frailty among people of the same age modifies the association between Alzheimer's disease pathology and Alzheimer's dementia. That frailty is related to both odds of Alzheimer's dementia and disease expression has implications for clinical management, since individuals with even a low level of Alzheimer's disease pathology might be at risk for dementia if they have high amounts of frailty. Further research should assess how frailty and cognition change over time to better elucidate this complex relationship.Funding None.
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“People in otherwise good physical health can sustain a higher burden of neuropathology without cognitive impairment.22”
From Dementia prevention, intervention, and care: 2020 report of the Lancet Commission (2020) · cites this paper as [22]
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“The increase might be related to dementia manifesting at later ages, with higher physical frailty22 leading to a faster decline.”
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“People who are physically more frail are more likely to have dementia, but the relationship between pathology and symptoms in these people is comparatively weak suggesting that dementia might be from other causes.22”
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“A moderation analysis showed that the relationship between Alzheimer's disease pathology and dementia status differed according to level of frailty (adjusted for age, sex, and education) with increasing frailty weakening the relationship between Alzheimer's disease pathology and dementia (figure 10 ).22”
From Dementia prevention, intervention, and care: 2020 report of the Lancet Commission (2020) · cites this paper as [22]
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Citations
Cites
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907
Neuropathological stageing of Alzheimer-related changes.
Braak, H., & Braak, E. (1991) · Acta Neuropathologica · doi:10.1007/bf00308809 · Cited by 16,123
Clegg, A., Young, J., Iliffe, S., Rikkert, M. O., & Rockwood, K. (2013) · The Lancet · doi:10.1016/s0140-6736(12)62167-9 · Cited by 9,503
Self-citationSperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
Self-citationJack, C. R., Knopman, D. S., Jagust, W. J., Petersen, R. C., Weiner, M. W., Aisen, P. S., Shaw, L. M., Vemuri, P., Wiste, H. J., Weigand, S. D., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70291-0 · Cited by 4,396
A standard procedure for creating a frailty index
Searle, S. D., Mitnitski, A., Gahbauer, E. A., Gill, T. M., & Rockwood, K. (2008) · BMC Geriatrics · doi:10.1186/1471-2318-8-24 · Cited by 3,568
Self-citationAccumulation of Deficits as a Proxy Measure of Aging
Mitnitski, A. B., Mogilner, A. J., & Rockwood, K. (2001) · The Scientific World JOURNAL · doi:10.1100/tsw.2001.58 · Cited by 2,893
Self-citationAge, Neuropathology, and Dementia
Savva, G. M., Wharton, S. B., Ince, P. G., Forster, G., Matthews, F. E., & Brayne, C. (2009) · New England Journal of Medicine · doi:10.1056/nejmoa0806142 · Cited by 900
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 849
Self-citation
Cited by
Sorted by citations
Dementia prevention, intervention, and care: 2020 report of the Lancet Commission
Livingston, G., Huntley, J., Sommerlad, A., Ames, D., Ballard, C., Banerjee, S., Brayne, C., Burns, A., Cohen-Mansfield, J., Cooper, C., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30367-6 · Cited by 10,430
Self-citationRetractedFrom discoveries in ageing research to therapeutics for healthy ageing
Campisi, J., Kapahi, P., Lithgow, G. J., Melov, S., Newman, J. C., & Verdin, E. (2019) · Nature · doi:10.1038/s41586-019-1365-2 · Cited by 1,389
Association of Delirium With Long-term Cognitive Decline: A Meta-analysis
Goldberg, T. E., Chen, C., Wang, Y., Jung, E., Swanson, A., Ing, C., Garcia, P. S., Whittington, R. A., & Moitra, V. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.2273 · Cited by 606
The degree of frailty as a translational measure of health in aging
Howlett, S. E., Rutenberg, A. D., & Rockwood, K. J. (2021) · Nature Aging · doi:10.1038/s43587-021-00099-3 · Cited by 357
Self-citationLong-term unsupervised mobility assessment in movement disorders
Warmerdam, E., Hausdorff, J. M., Atrsaei, A., Zhou, Y., Mirelman, A., Aminian, K., Espay, A. J., Hansen, C., Evers, L. J. W., Keller, A., et al. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30397-7 · Cited by 306
Recommendations of the 5th Canadian Consensus Conference on the diagnosis and treatment of dementia
Ismail, Z., Black, S. E., Camicioli, R., Chertkow, H., Herrmann, N., Laforce, R., Montero‐Odasso, M., Rockwood, K., Rosa‐Neto, P., Seitz, D., et al. (2020) · Alzheimer's & Dementia · doi:10.1002/alz.12105 · Cited by 245
Self-citationTo what degree is late life cognitive decline driven by age-related neuropathologies?
Boyle, P. A., Wang, T., Yu, L., Wilson, R. S., Dawe, R. J., Arfanakis, K., Schneider, J. A., & Bennett, D. A. (2021) · Brain · doi:10.1093/brain/awab092 · Cited by 220
Self-citationAge-related deficit accumulation and the diseases of ageing
Rockwood, K., & Howlett, S. E. (2019) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2019.04.005 · Cited by 198
Self-citationDamluji, A. A., Forman, D. E., van Diepen, S., Alexander, K. P., Page, R. L., II, Hummel, S. L., Menon, V., Katz, J. N., Albert, N. M., Afilalo, J., et al. (2019) · Circulation · doi:10.1161/cir.0000000000000741 · Cited by 204
Measuring gait speed to better identify prodromal dementia
Grande, G., Triolo, F., Nuara, A., Welmer, A., Fratiglioni, L., & Vetrano, D. L. (2019) · Experimental Gerontology · doi:10.1016/j.exger.2019.05.014 · Cited by 195
Associations between physical frailty and dementia incidence: a prospective study from UK Biobank
Petermann-Rocha, F. E., Lyall, D. M., Gray, S. R., Esteban‐Cornejo, I., Quinn, T. J., Ho, F. K. W., Pell, J. P., & Celis-Morales, C. A. (2020) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(20)30007-6 · Cited by 182
Understanding the Physiological Links Between Physical Frailty and Cognitive Decline
Ma, L., & Chan, P. (2020) · Aging and Disease · doi:10.14336/ad.2019.0521 · Cited by 180
Collaborative, G. M. R. (2019) · BMC Medicine · doi:10.1186/s12916-019-1458-7 · Cited by 184
Frailty, lifestyle, genetics and dementia risk
Ward, D. D., Ranson, J. M., Wallace, L. M. K., Llewellyn, D. J., & Rockwood, K. J. (2021) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2021-327396 · Cited by 171
Self-citationSex differences in frailty: Comparisons between humans and preclinical models
Kane, A. E., & Howlett, S. E. (2021) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2021.111546 · Cited by 146
Brain Renin–Angiotensin System at the Intersect of Physical and Cognitive Frailty
Cosarderelioglu, C., Nidadavolu, L. S., George, C. J., Oh, E. S., Bennett, D. A., Walston, J. D., & Abadir, P. M. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.586314 · Cited by 134
Self-citationSarcopenia and frailty in individuals with dementia: A systematic review
Waite, S. J., Maitland, S., Thomas, A. J., & Yarnall, A. J. (2020) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2020.104268 · Cited by 129
Alzheimer disease blood biomarkers: considerations for population-level use
Mielke, M. M., & Fowler, N. R. (2024) · Nature Reviews Neurology · doi:10.1038/s41582-024-00989-1 · Cited by 137
Sáez de Asteasu, M. L., Martínez-Velilla, N., Zambom-Ferraresi, F., Casas-Herrero, Á., Cadore, E. L., Galbete, A., & Izquierdo, M. (2019) · PLOS Medicine · doi:10.1371/journal.pmed.1002852 · Cited by 111
A Primary Care Agenda for Brain Health: A Scientific Statement From the American Heart Association
Lazar, R. M., Howard, V. J., Kernan, W. N., Aparicio, H. J., Levine, D. A., Viera, A. J., Jordan, L. C., Nyenhuis, D. L., Possin, K. L., Sorond, F. A., et al. (2021) · Stroke · doi:10.1161/str.0000000000000367 · Cited by 109
Vitek, M. P., Araujo, J. A., Fossel, M., Greenberg, B. D., Howell, G. R., Rizzo, S. J. S., Seyfried, N. T., Tenner, A. J., Territo, P. R., Windisch, M., et al. (2020) · Alzheimer's & Dementia: Translational Research & Clinical Interventions · doi:10.1002/trc2.12114 · Cited by 103
Mahanna, E., Zhang, K., Sieber, F. E., Lin, H. M., Liu, X., Sewell, M. C., Deiner, S. G., & Boockvar, K. S. (2020) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000004773 · Cited by 101
Hao, M., & Chen, J. (2025) · BMC Medicine · doi:10.1186/s12916-025-04169-w · Cited by 94
Normative Cognitive Decline in Old Age
Wilson, R. S., Wang, T., Yu, L., Bennett, D. A., & Boyle, P. A. (2020) · Annals of Neurology · doi:10.1002/ana.25711 · Cited by 97
Self-citationTang, A. S., Rankin, K. P., Cerono, G., Miramontes, S., Mills, H., Roger, J., Zeng, B., Nelson, C., Soman, K., Woldemariam, S., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00573-8 · Cited by 86
Jo, D., Yoon, G., Kim, O. Y., & Song, J. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.112636 · Cited by 86
Villain, N., Planche, V., Lilamand, M., Cordonnier, C., Soto‐Martin, M., Mollion, H., Bombois, S., & Delrieu, J. (2025) · The Journal of Prevention of Alzheimer s Disease · doi:10.1016/j.tjpad.2025.100094 · Cited by 87
Neuropathologic burden and the degree of frailty in relation to global cognition and dementia
Wallace, L. M. K., Theou, O., Darvesh, S., Bennett, D. A., Buchman, A. S., Andrew, M. K., Kirkland, S. A., Fisk, J. D., & Rockwood, K. (2020) · Neurology · doi:10.1212/wnl.0000000000010944 · Cited by 79
Self-citationChen, B., Wang, M., He, Q., Wang, Y., Lai, X., Chen, H., & Li, M. (2022) · Frontiers in Medicine · doi:10.3389/fmed.2022.1009794 · Cited by 78
Montero‐Odasso, M., Speechley, M. R., Hunter, S. W., Pieruccini‐Faria, F., Sarquis‐Adamson, Y., Hachinski, V., Bherer, L., BORRIE, M. J., Wells, J., Garg, A. X., et al. (2020) · Age and Ageing · doi:10.1093/ageing/afaa106 · Cited by 75
CCCDTD5 recommendations on early non cognitive markers of dementia: A Canadian consensus
Montero‐Odasso, M., Pieruccini‐Faria, F., Ismail, Z., Li, K., Lim, A. S. P., Phillips, N. A., Kamkar, N., Sarquis‐Adamson, Y., Speechley, M. R., Theou, O., et al. (2020) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1002/trc2.12068 · Cited by 81
Self-citationTsui, A., Searle, S. D., Bowden, H., Hoffmann, K., Hornby, J., Goslett, A., Weston-Clarke, M., Hamill Howes, L., Street, R., Perera, R., et al. (2022) · The Lancet Healthy Longevity · doi:10.1016/s2666-7568(22)00013-7 · Cited by 73
Self-citationAge-related disease burden as a measure of population ageing
Kehler, D. S. (2019) · The Lancet Public Health · doi:10.1016/s2468-2667(19)30026-x · Cited by 72
How frail is frail? A systematic scoping review and synthesis of high impact studies
Gordon, E. H., Reid, N., Khetani, I. S., & Hubbard, R. E. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02671-3 · Cited by 76
Gordon, E. H., Ward, D. D., Xiong, H., Berkovsky, S., & Hubbard, R. E. (2024) · BMJ · doi:10.1136/bmj-2023-077634 · Cited by 72
Frailty Trajectories Preceding Dementia in the US and UK
Ward, D. D., Flint, J. P., Littlejohns, T. J., Foote, I. F., Canevelli, M., Wallace, L. M. K., Gordon, E. H., Llewellyn, D. J., Ranson, J. M., Hubbard, R. E., et al. (2024) · JAMA Neurology · doi:10.1001/jamaneurol.2024.3774 · Cited by 79
Self-citationCognitive Impairment in Frail Hypertensive Elderly Patients: Role of Hyperglycemia
Mone, P., Gambardella, J., Pansini, A., Donato, A. D., Martinelli, G., Boccalone, E., Matarese, A., Frullone, S., & Santulli, G. (2021) · Cells · doi:10.3390/cells10082115 · Cited by 72
Amini, S., Crowley, S. J., Hizel, L. P., Arias, F., Libon, D. J., Tighe, P. J., Giordano, C. R., GARVAN, C. W., Enneking, F. K., & Price, C. C. (2019) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000004190 · Cited by 69
Age and Sex Influence the Neuro-inflammatory Response to a Peripheral Acute LPS Challenge
Murtaj, V., Belloli, S., Di Grigoli, G., Pannese, M., Ballarini, E., Rodriguez-Menendez, V., Marmiroli, P., Cappelli, A., Masiello, V., Monterisi, C., et al. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00299 · Cited by 58
Depressive and Biopsychosocial Frailty Phenotypes: Impact on Late-life Cognitive Disorders
Panza, F., Solfrizzi, V., Sardone, R., Dibello, V., Castellana, F., Zupo, R., Stallone, R., Lampignano, L., Bortone, I., Mollica, A., et al. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230312 · Cited by 57
Mapping the multicausality of Alzheimer’s disease through group model building
Uleman, J. F., Melis, R. J. F., Quax, R., van der Zee, E. A., Thijssen, D. H. J., Dresler, M., van de Rest, O., van der Velpen, I. F., Adams, H. H. H., Schmand, B. A., et al. (2020) · GeroScience · doi:10.1007/s11357-020-00228-7 · Cited by 60
Frailty and Risk of Dementia in Mild Cognitive Impairment Subtypes
Ward, D. D., Wallace, L. M. K., & Rockwood, K. J. (2021) · Annals of Neurology · doi:10.1002/ana.26064 · Cited by 56
Self-citationTowards a Redefinition of Cognitive Frailty
Mantovani, E., Zucchella, C., Schena, F. F., Romanelli, M. G., Venturelli, M., & Tamburin, S. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200137 · Cited by 56
Hyperglycemia and Physical Impairment in Frail Hypertensive Older Adults
Pansini, A., Lombardi, A., Morgante, M., Frullone, S., Marro, A., Rizzo, M., Martinelli, G., Boccalone, E., Luca, A. D., Santulli, G., et al. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.831556 · Cited by 54
Initiative, A. D. N., Canevelli, M., Arisi, I., Bacigalupo, I., Arighi, A., Galimberti, D., Vanacore, N., D’Onofrio, M., Cesari, M., & Bruno, G. (2020) · GeroScience · doi:10.1007/s11357-020-00293-y · Cited by 53
Ward, D. D., Wallace, L. M. K., & Rockwood, K. J. (2020) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2020-324081 · Cited by 53
Self-citationNavigating and diagnosing cognitive frailty in research and clinical domains
Nader, M. M., Coşarderelioğlu, Ç., Miao, E., Whitson, H. E., Xue, Q., Grodstein, F., Oh, E. S., Ferrucci, L., Bennett, D. A., Walston, J. D., et al. (2023) · Nature Aging · doi:10.1038/s43587-023-00504-z · Cited by 53
Self-citationGiebel, C. M., Hassan, S. M., Harvey, G., Devitt, C., Harper, L. M., & Simmill‐Binning, C. (2020) · Health & Social Care in the Community · doi:10.1111/hsc.13228 · Cited by 52
Physical decline and cognitive impairment in frail hypertensive elders during COVID-19
Mone, P., Pansini, A., Frullone, S., Donato, A. D., Buonincontri, V., Blasiis, P. D., Marro, A., Morgante, M., Luca, A. D., & Santulli, G. (2022) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2022.03.012 · Cited by 49
Frailty and Risk of Incident Motoric Cognitive Risk Syndrome
Sathyan, S., Ayers, E. I., Gao, T., Milman, S., Barzilai, N., Rockwood, K. J., & Verghese, J. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190517 · Cited by 49
Self-citationTan, L. F., Chan, Y. H., Seetharaman, S. K., Anbarasan, D., Au, L. S. Y., Kwek, S. C., Chen, M. Z., Ng, S. E., Hui, R. J. Y., & Merchant, R. A. (2023) · The journal of nutrition health & aging · doi:10.1007/s12603-023-1928-7 · Cited by 48
Cognitive and physical markers of prodromal dementia: A 12‐year‐long population study
Grande, G., Rizzuto, D., Vetrano, D. L., Marseglia, A., Vanacore, N., Laukka, E. J., Welmer, A., & Fratiglioni, L. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12002 · Cited by 46
Tang, A. S., Oskotsky, T., Havaldar, S., Mantyh, W. G., Bicak, M., Solsberg, C. W., Woldemariam, S., Zeng, B., Hu, Z., Oskotsky, B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28273-0 · Cited by 45
Taudorf, L., Nørgaard, A., Brodaty, H., Laursen, T. M., & Waldemar, G. (2021) · European Journal of Neurology · doi:10.1111/ene.14875 · Cited by 48
Brunetti, D., Bottani, E., Segala, A., Marchet, S., Rossi, F., Orlando, F., Malavolta, M., Carruba, M. O., Lamperti, C., Provinciali, M., et al. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.01171 · Cited by 43
Bray, N. W., Pieruccini‐Faria, F., Bartha, R., Doherty, T. J., Nagamatsu, L. S., & Montero‐Odasso, M. (2021) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2021.111493 · Cited by 47
Guo, C., Sun, Z., Tan, C., Tan, L., & Xu, W. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.855553 · Cited by 42
Chen, L., Cao, H., Wu, X., Xu, X., Ji, X., Wang, B., Zhang, P., & Li, H. (2022) · Geriatric Nursing · doi:10.1016/j.gerinurse.2022.09.005 · Cited by 39
Endosomal-lysosomal dysfunction in metabolic diseases and Alzheimer's disease
de Almeida, M. F., Bahr, B. A., & Kinsey, S. T. (2020) · International review of neurobiology · doi:10.1016/bs.irn.2020.02.012 · Cited by 42
Sturchio, A., Marsili, L., Vizcarra, J. A., Dwivedi, A. K., Kauffman, M., Duker, A. P., Lu, P., Pauciulo, M. W., Wissel, B. D., Hill, E. J., et al. (2020) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2020.553635 · Cited by 39
Evans, N. R., Pinho, J., Beishon, L., Nguyen, T. N., Ganesh, A., Balasundaram, B., Munthe‐Kaas, R., Hewitt, J., Gandhi, D. B. C., Quinn, T. J., et al. (2025) · International Journal of Stroke · doi:10.1177/17474930251345295 · Cited by 38
Frailty for neurologists: perspectives on how frailty influences care planning
Canevelli, M., Jackson-Tarlton, C. S., & Rockwood, K. J. (2024) · The Lancet Neurology · doi:10.1016/s1474-4422(24)00291-6 · Cited by 38
Self-citationKOBASHIGAWA, J. A., Shah, P. M., Joseph, S. M., Olymbios, M., Bhat, G., Dhital, K. K., Eisen, H. J., Kransdorf, E. P., Patel, J. K., Skorka, R., et al. (2020) · American Journal of Transplantation · doi:10.1111/ajt.16207 · Cited by 39
Hanlon, P., Burton, J. K., Quinn, T. J., Mair, F. S., McAllister, D., Lewsey, J., & Gallacher, K. (2023) · International Journal of Stroke · doi:10.1177/17474930231151847 · Cited by 36
Thibeau, S., McDermott, K. L., McFall, G. P., Rockwood, K. J., & Dixon, R. A. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-019-0509-9 · Cited by 36
Self-citationFan, S., Liang, X., Yun, T., Pei, Z., Hu, B., Ismail, Z., Yang, Z., & Xu, F. (2020) · BMC Geriatrics · doi:10.1186/s12877-020-01903-2 · Cited by 36
Structural elucidation and anti-neuroinflammatory activity of Polygala tenuifolia polysaccharide
Zeng, Z., Chang, X., Zhang, D., Chen, H., Zhong, X., Xie, Y., Yu, Q., & Yan, C. (2022) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2022.08.161 · Cited by 37
Sustained frailty remission and dementia risk in older adults: A longitudinal study
Wang, S., Li, Q., Wang, S., Huang, C., Xue, Q., Szanton, S. L., & Liu, M. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14109 · Cited by 35
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Ribeiro, A. R., Howlett, S. E., & Fernandes, A. M. A. (2020) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2020.111217 · Cited by 37
Wallace, L. M. K., Theou, O., Godin, J., Ward, D. D., Andrew, M. K., Bennett, D. A., & Rockwood, K. J. (2021) · Aging Medicine · doi:10.1002/agm2.12187 · Cited by 35
Self-citationBelvisi, D., Canevelli, M., Baione, V., Buscarinu, M. C., Pellicciari, G., Fantozzi, R., Creta, A., Cecchi, G., Cola, G., Nicoletti, C. G., et al. (2021) · Multiple Sclerosis Journal · doi:10.1177/1352458520987541 · Cited by 32
Frailty and neuropathology in relation to dementia status: the Cambridge City over-75s Cohort study
Wallace, L. M. K., Hunter, S., Theou, O., Fleming, J., Rockwood, K. J., & Brayne, C. (2021) · International Psychogeriatrics · doi:10.1017/s1041610220003932 · Cited by 31
Self-citationAge related weight loss in female 5xFAD mice from 3 to 12 months of age
Gendron, W. A. C., Fertan, E., Pelletier, S., Roddick, K. M., O’Leary, T. P., Anini, Y., & Brown, R. E. (2021) · Behavioural Brain Research · doi:10.1016/j.bbr.2021.113214 · Cited by 31
Rowan, M. T., Hafdi, M., Drozdowska, B. A., Elliott, E., Wardlaw, J. M., & Quinn, T. J. (2023) · European Stroke Journal · doi:10.1177/23969873231186480 · Cited by 30
Contador, I., Buch-Vicente, B., del Ser, T., Velasco, S. L., Villarejo‐Galende, A., Benito‐León, J., & Bermejo‐Pareja, F. (2024) · Journal of Clinical Medicine · doi:10.3390/jcm13144100 · Cited by 31
Cognitive frailty: A comprehensive clinical paradigm beyond cognitive decline
Cozza, M., & Boccardi, V. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102738 · Cited by 30
Genetics of frailty: A longevity perspective
Sathyan, S., & Verghese, J. (2020) · Translational research · doi:10.1016/j.trsl.2020.03.005 · Cited by 32
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Moody, J. N., Valerio, K. E., Hasselbach, A. N., Prieto, S., Logue, M. W., Hayes, S. M., Hayes, J. P., & Initiative, A. D. N. (2021) · The Journals of Gerontology Series A · doi:10.1093/gerona/glab117 · Cited by 33
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Zedda, N., Bramanti, B., Gualdi‐Russo, E., Ceraico, E., & Rinaldo, N. (2021) · American Journal of Physical Anthropology · doi:10.1002/ajpa.24394 · Cited by 30
Nurdal, V., Wearn, A. R., Knight, M. J., Kauppinen, R. A., & Coulthard, E. J. (2020) · NeuroImage Clinical · doi:10.1016/j.nicl.2020.102226 · Cited by 28
Effects of Multicomponent Exercise on Cognitive Function in Elderly Korean Individuals
Kim, Y. J., Park, H., Park, J., Park, K. W., Lee, K., Kim, S., Chae, K., Park, M. H., Koh, S., & Na, H. R. (2020) · Journal of Clinical Neurology · doi:10.3988/jcn.2020.16.4.612 · Cited by 28
Understanding frailty to predict and prevent dementia
Panza, F., Lozupone, M., & Logroscino, G. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30446-0 · Cited by 27
Physical frailty, genetic predisposition, and incident dementia: a large prospective cohort study
Gao, P., Ma, L., Wang, X.-J., Wu, B., Huang, Y., Wang, Z., Fu, Y., Ou, Y., Feng, J., Cheng, W., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02927-7 · Cited by 26
Bray, N. W., Pieruccini‐Faria, F., Witt, S. T., Rockwood, K. J., Bartha, R., Doherty, T. J., Nagamatsu, L. S., Almeida, Q. J., Liu-Ambrose, T. Y. L., Middleton, L. E., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00702-4 · Cited by 29
Self-citationSugimoto, T., Ono, R., Kimura, A., Saji, N., Niida, S., Toba, K., & Sakurai, T. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190622 · Cited by 26
Todorovic, S. T., Lončarević‐Vasiljković, N., Jović, M., Sokanovic, S. J., Kanazir, S., & Mladenović, A. (2019) · Mechanisms of Ageing and Development · doi:10.1016/j.mad.2019.111195 · Cited by 26
Bray, N. W., Pieruccini‐Faria, F., Witt, S. T., Bartha, R., Doherty, T. J., Nagamatsu, L. S., Almeida, Q. J., Liu-Ambrose, T. Y. L., Middleton, L. E., Bherer, L., et al. (2023) · GeroScience · doi:10.1007/s11357-023-00805-6 · Cited by 26
Proportion of cognitive loss attributable to terminal decline
Wilson, R. S., Yu, L., Leurgans, S. E., Bennett, D. A., & Boyle, P. A. (2019) · Neurology · doi:10.1212/wnl.0000000000008671 · Cited by 24
Self-citationWatanabe, K., Kakeda, S., Nemoto, K., Onoda, K., Yamaguchi, S., Kobayashi, S., & Yamakawa, Y. (2021) · Cortex · doi:10.1016/j.cortex.2021.09.009 · Cited by 24
Biological Age Acceleration and Motoric Cognitive Risk Syndrome
Sathyan, S., Ayers, E. I., Adhikari, D., Gao, T., Milman, S., Barzilai, N., & Verghese, J. (2023) · Annals of Neurology · doi:10.1002/ana.26624 · Cited by 24
Zuliani, G., Gallerani, M., Martellucci, C. A., Reverberi, R., Brombo, G., Cervellati, C., Zuin, M., Pistolesi, C., Pedrini, D., Flacco, M. E., et al. (2021) · Aging Clinical and Experimental Research · doi:10.1007/s40520-021-02021-8 · Cited by 23
The role of frailty in Parkinson’s disease: a cross-sectional study
Belvisi, D., Canevelli, M., Costanzo, M., Giangrosso, M., Fabbrini, A., Borraccino, A., Bruno, G., Berardelli, A., & Fabbrini, G. (2021) · Journal of Neurology · doi:10.1007/s00415-021-10873-3 · Cited by 23
Fang, X., Zhang, J., Zhao, J., & Wang, L. (2022) · Journal of Healthcare Engineering · doi:10.1155/2022/9148650 · Cited by 23
RetractedJenkins, N. D., Welstead, M., Stirland, L., Hoogendijk, E. O., Armstrong, J. J., Robitaille, A., & Terrera, G. M. (2023) · BMC Geriatrics · doi:10.1186/s12877-023-03736-1 · Cited by 24
Healy, D., Murray, C., McAdams, C., Power, R. W., Hollier, P.-L., Lambe, J., Tortorelli, L. S., López-Rodríguez, A. B., & Cunningham, C. M. (2024) · Communications Biology · doi:10.1038/s42003-023-05662-9 · Cited by 24
Jacobs, A. H., Emmert, K., Baron, R., Bartsch, T., Bauer, J. M., Becker, C., Berg, D., Bergmann, P., Boetzel, K., Bollheimer, C., et al. (2020) · Zeitschrift für Gerontologie und Geriatrie · doi:10.1007/s00391-020-01734-1 · Cited by 23
Bai, Y., Wang, Z.-H., Lv, Y., Liu, J., Xu, Z.-Z., Feng, Y., Liu, G.-Y., Yin, P., Wang, Y., Dong, N., et al. (2024) · International Journal of Surgery · doi:10.1097/js9.0000000000001861 · Cited by 22
Yoshiura, K., Fukuhara, R., Ishikawa, T., Tsunoda, N., Koyama, A., Miyagawa, Y., Hidaka, Y., Hashimoto, M., Ikeda, M., Takebayashi, M., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-12195-4 · Cited by 22
Frailty in Parkinson's disease and its association with early dementia: A longitudinal study
Borda, M. G., Pérez‐Zepeda, M. U., Jaramillo-Jiménez, A., Chaudhuri, К. R., Tovar, D., Wallace, L. M. K., Batzu, L., Rockwood, K. J., Tysnes, O., Aarsland, D., et al. (2022) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2022.05.004 · Cited by 22
Self-citationKaranth, S. D., Braithwaite, D., Katsumata, Y., Duara, R., Norrod, P. E., Aukhil, I., & Abner, E. L. (2023) · Gerontology · doi:10.1159/000533919 · Cited by 23
Metadata
- Authors
- Wallace, L. M. K., Theou, O., Godin, J., Andrew, M. K., Bennett, D. A., & Rockwood, K.
- Affiliations
- Dalhousie University (CA)
- Rush University Medical Center (US)
- Corresponding author
- Rockwood, Kenneth
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 18
- Issue
- 2
- Pages
- 177-184
- ISSN
- 1474-4422 (ISSN-L)
- PMC
- PMC11062500
- OpenAlex
- W2909144970
- Cited by
- 310
- References
- 32
- Citations by year
- 2026: 28 · 2025: 41 · 2024: 40 · 2023: 35 · 2022: 40 · 2021: 45 · 2020: 47 · 2019: 34
- FWCI
- 33.06
- Type
- journal article
- Language
- en
- Update notices
- erratum (2019-03-01)
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Lancet Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Canadian Institutes of Health Research (CNA-137794)
- NIH (R01AG17917)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Geriatrics and Gerontology › Frailty in Older Adults
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- Alzheimer's disease, frailty, Alzheimer's dementia, neuropathology, neurofibrillary tangles, neuritic plaques, diffuse plaques, older adults, autopsy, Rush Memory and Aging Project, moderating effect, cognitive impairment without dementia, Alzheimer's disease biomarkers
- MeSH terms
- Frailty, Aged, Aged, 80 and over, Aging, Alzheimer Disease, Cross-Sectional Studies, Dementia, Female, Humans, Male, Frail Elderly
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