The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Prevalence of mild cognitive impairment is higher in men: The Mayo Clinic Study of Aging
Open accessAbstract
OBJECTIVE: We investigated the prevalence of mild cognitive impairment (MCI) in Olmsted County, MN, using in-person evaluations and published criteria. METHODS: We evaluated an age- and sex-stratified random sample of Olmsted County residents who were 70-89 years old on October 1, 2004, using the Clinical Dementia Rating Scale, a neurologic evaluation, and neuropsychological testing to assess 4 cognitive domains: memory, executive function, language, and visuospatial skills. Information for each participant was reviewed by an adjudication panel and a diagnosis of normal cognition, MCI, or dementia was made using published criteria. RESULTS: Among 1,969 subjects without dementia, 329 subjects had MCI, with a prevalence of 16.0% (95% confidence interval [CI] 14.4-17.5) for any MCI, 11.1% (95% CI 9.8-12.3) for amnestic MCI, and 4.9% (95% CI 4.0-5.8) for nonamnestic MCI. The prevalence of MCI increased with age and was higher in men. The prevalence odds ratio (OR) in men was 1.54 (95% CI 1.21-1.96; adjusted for age, education, and nonparticipation). The prevalence was also higher in subjects who never married and in subjects with an APOE epsilon3epsilon4 or epsilon4epsilon4 genotype. MCI prevalence decreased with increasing number of years of education (p for linear trend <0.0001). CONCLUSIONS: Our study suggests that approximately 16% of elderly subjects free of dementia are affected by MCI, and amnestic MCI is the most common type. The higher prevalence of MCI in men may suggest that women transition from normal cognition directly to dementia at a later age but more abruptly.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Winblad, B., Palmer, K., Kivipelto, M., Jelic, V., Fratiglioni, L., Wahlund, L. ‐., Nordberg, A., Bäckman, L., Albert, M., Almkvist, O., et al. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01380.x · Cited by 4,946
Self-citationAlzheimer's Disease Neuroimaging Initiative (ADNI)
Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Shaw, L. M., Toga, A. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e25 · Cited by 2,572
Self-citationMild Cognitive Impairment: Ten Years Later
Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Smith, G. E., & Jack, C. R. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.266 · Cited by 1,447
Self-citationHistory of the Rochester Epidemiology Project
Melton, L. J. (1996) · Mayo Clinic Proceedings · doi:10.4065/71.3.266 · Cited by 1,443
Natural history of mild cognitive impairment in older persons
Bennett, D. A., Wilson, R. S., Schneider, J. A., Evans, D. A., Beckett, L. A., Aggarwal, N. T., Barnes, L. L., Fox, J. H., & Bach, J. (2002) · Neurology · doi:10.1212/wnl.59.2.198 · Cited by 1,037
Mild cognitive impairment: Long-term course of four clinical subtypes
Busse, A., Hensel, A., Gühne, U., Angermeyer, M. C., & Riedel-Heller, S. G. (2006) · Neurology · doi:10.1212/01.wnl.0000249117.23318.e1 · Cited by 561
Advances in strategies for minimizing and adjusting for survey nonresponse
Kessler, R. C., Little, R. J. A., & Groves, R. M. (1995) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036176 · Cited by 341
Mayo's older Americans normative studies: updated AVLT norms for ages 56 to 97
Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., Petersen, R. C., Kokmen, E., & Kurland, L. T. (1992) · Clinical Neuropsychologist · doi:10.1080/13854049208401880 · Cited by 310
Self-citation
Cited by
2016 Alzheimer's disease facts and figures
Alzheimer's Association (2016) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2016.03.001 · Cited by 5,069
Knopman, D. S., Amieva, H., Petersen, R. C., Chételat, G., Holtzman, D. M., Hyman, B. T., Nixon, R. A., & Jones, D. T. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-021-00269-y · Cited by 2,606
Self-citationMild cognitive impairment: a concept in evolution
Petersen, R. C., Caracciolo, B., Brayne, C., Gauthier, S., Jelic, V., & Fratiglioni, L. (2014) · Journal of Internal Medicine · doi:10.1111/joim.12190 · Cited by 1,694
Self-citationThe Diagnosis and Management of Mild Cognitive Impairment: A Clinical Review
Langa, K. M., & Levine, D. A. (2014) · JAMA · doi:10.1001/jama.2014.13806 · Cited by 1,337
Petersen, R. C. (2011) · New England Journal of Medicine · doi:10.1056/nejmcp0910237 · Cited by 1,289
Self-citationClinical epidemiology of Alzheimer’s disease: assessing sex and gender differences
Mielke, M., Vemuri, P., & Rocca, W. (2014) · Clinical Epidemiology · doi:10.2147/clep.s37929 · Cited by 1,021
Self-citationPhysical Exercise as a Preventive or Disease-Modifying Treatment of Dementia and Brain Aging
Ahlskog, J. E., Geda, Y. E., Graff-Radford, N. R., & Petersen, R. C. (2011) · Mayo Clinic Proceedings · doi:10.4065/mcp.2011.0252 · Cited by 885
Self-citationJack, C. R., Knopman, D. S., Weigand, S. D., Wiste, H. J., Vemuri, P., Lowe, V., Kantarci, K., Gunter, J. L., Senjem, M. L., Ivnik, R. J., et al. (2012) · Annals of Neurology · doi:10.1002/ana.22628 · Cited by 602
Self-citationBabulal, G. M., Quiroz, Y. T., Albensi, B. C., Arenaza‐Urquijo, E., Astell, A. J., Babiloni, C., Bahar‐Fuchs, A., Bell, J., Bowman, G. L., Brickman, A. M., et al. (2019) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.09.009 · Cited by 528
Gender and incidence of dementia in the Framingham Heart Study from mid‐adult life
Chêne, G., Beiser, A., Au, R., Preis, S. R., Wolf, P. A., Dufouil, C., & Seshadri, S. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.10.005 · Cited by 499
Higher risk of progression to dementia in mild cognitive impairment cases who revert to normal
Roberts, R. O., Knopman, D. S., Mielke, M. M., Cha, R. H., Pankratz, V. S., Christianson, T. J. H., Geda, Y. E., Boeve, B. F., Ivnik, R. J., Tangalos, E. G., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000055 · Cited by 487
Self-citationNeurocognitive Impairment in Obstructive Sleep Apnea
Lal, C., Strange, C., & Bachman, D. (2012) · Chest · doi:10.1378/chest.11-2214 · Cited by 406
Sachdev, P. S., Lipnicki, D. M., Kochan, N. A., Crawford, J. D., Thalamuthu, A., Andrews, G., Brayne, C., Matthews, F. E., Stephan, B. C. M., Lipton, R. B., et al. (2015) · PLOS ONE · doi:10.1371/journal.pone.0142388 · Cited by 380
Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348
Self-citationSex differences in Alzheimer’s disease and common neuropathologies of aging
Oveisgharan, S., Arvanitakis, Z., Yu, L., Farfel, J., Schneider, J. A., & Bennett, D. A. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1920-1 · Cited by 330
Jack, C. R., Therneau, T. M., Weigand, S. D., Wiste, H. J., Knopman, D. S., Vemuri, P., Lowe, V. J., Mielke, M. M., Roberts, R. O., Machulda, M. M., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.1971 · Cited by 300
Self-citationVascular and amyloid pathologies are independent predictors of cognitive decline in normal elderly
Vemuri, P., Lesnick, T. G., Przybelski, S. A., Knopman, D. S., Preboske, G. M., Kantarci, K., Raman, M. R., Machulda, M. M., Mielke, M. M., Lowe, V. J., et al. (2015) · Brain · doi:10.1093/brain/awu393 · Cited by 299
Self-citationRoberts, R. O., Aakre, J. A., Kremers, W. K., Vassilaki, M., Knopman, D. S., Mielke, M. M., Alhurani, R., Geda, Y. E., Machulda, M. M., Coloma, P., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2018.0629 · Cited by 223
Self-citationIdentification of Anonymous MRI Research Participants with Face-Recognition Software
Schwarz, C. G., Kremers, W. K., Therneau, T. M., Sharp, R. R., Gunter, J. L., Vemuri, P., Arani, A., Spychalla, A. J., Kantarci, K., Knopman, D. S., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmc1908881 · Cited by 215
Self-citationSex and gender differences in cognitive resilience to aging and Alzheimer's disease
Arenaza‐Urquijo, E. M., Boyle, R., Casaletto, K., Anstey, K. J., Vila‐Castelar, C., Colverson, A., Palpatzis, E., Eissman, J. M., Kheng Siang Ng, T., Raghavan, S., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13844 · Cited by 223
Association of type 2 diabetes with brain atrophy and cognitive impairment
Roberts, R. O., Knopman, D. S., Przybelski, S. A., Mielke, M. M., Kantarci, K., Preboske, G. M., Senjem, M. L., Pankratz, V. S., Geda, Y. E., Boeve, B. F., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000269 · Cited by 211
Self-citationEffect of lifestyle activities on alzheimer disease biomarkers and cognition
Vemuri, P., Lesnick, T. G., Przybelski, S. A., Knopman, D. S., Roberts, R. O., Lowe, V. J., Kantarci, K., Senjem, M. L., Gunter, J. L., Boeve, B. F., et al. (2012) · Annals of Neurology · doi:10.1002/ana.23665 · Cited by 193
Self-citationBrain injury biomarkers are not dependent on β‐amyloid in normal elderly
Knopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Mielke, M. M., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23816 · Cited by 183
Self-citationA second X chromosome contributes to resilience in a mouse model of Alzheimer’s disease
Davis, E. J., Broestl, L., Abdulai-Saiku, S., Worden, K., Bonham, L. W., Miñones-Moyano, E., Moreno, A. J., Wang, D., Chang, K., Williams, G., et al. (2020) · Science Translational Medicine · doi:10.1126/scitranslmed.aaz5677 · Cited by 176
Indicators of amyloid burden in a population-based study of cognitively normal elderly
Mielke, M. M., Wiste, H. J., Weigand, S. D., Knopman, D. S., Lowe, V. J., Roberts, R. O., Geda, Y. E., Swenson-Dravis, D. M., Boeve, B. F., Senjem, M. L., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e31826e2696 · Cited by 163
Self-citationSingh, B., Mielke, M. M., Parsaik, A. K., Cha, R. H., Roberts, R. O., Scanlon, P. D., Geda, Y. E., Christianson, T. J., Pankratz, V. S., & Petersen, R. C. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.94 · Cited by 143
Self-citationAssociation of ideal cardiovascular health with vascular brain injury and incident dementia
Pase, M. P., Beiser, A., Enserro, D., Xanthakis, V., Aparicio, H., Satizabal, C. L., Himali, J. J., Kase, C. S., Vasan, R. S., DeCarli, C., et al. (2016) · Stroke · doi:10.1161/strokeaha.115.012608 · Cited by 137
Sex and age interact to determine clinicopathologic differences in Alzheimer’s disease
Liesinger, A. M., Graff-Radford, N. R., Duara, R., Carter, R. E., Hanna Al-Shaikh, F. S., Koga, S., Hinkle, K. M., DiLello, S. K., Johnson, M. F., Aziz, A., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1908-x · Cited by 126
Morimoto, B. H., Schmechel, D., Hirman, J., Blackwell, A., Keith, J., Gold, M., & on behalf of the AL-108-211 Study Investigators (2013) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000348347 · Cited by 115
Leibson, C. L., Long, K. H., Ransom, J. E., Roberts, R. O., Hass, S. L., Duhig, A. M., Smith, C. Y., Emerson, J. A., Pankratz, V. S., & Petersen, R. C. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2015.01.007 · Cited by 110
Self-citationSeshadri, S., Beiser, A., Au, R., Wolf, P. A., Evans, D. A., Wilson, R. S., Petersen, R. C., Knopman, D. S., Rocca, W. A., Kawas, C. H., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2010.12.002 · Cited by 97
Self-citationRamanan, V. K., Graff-Radford, J., Syrjanen, J., Shir, D., Algeciras-Schimnich, A., Lucas, J., Martens, Y. A., Carrasquillo, M. M., Day, G. S., Ertekin-Taner, N., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207675 · Cited by 89
Self-citationProsaposin is a regulator of progranulin levels and oligomerization
Nicholson, A. M., Finch, N. A., Almeida, M., Perkerson, R. B., van Blitterswijk, M., Wojtas, A., Cenik, B., Rotondo, S., Inskeep, V., Almasy, L., et al. (2016) · Nature Communications · doi:10.1038/ncomms11992 · Cited by 91
Self-citationKantarci, K., Schwarz, C. G., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Zuk, S. M., Senjem, M. L., Gunter, J. L., Lowe, V., Machulda, M. M., et al. (2014) · JAMA Neurology · doi:10.1001/jamaneurol.2014.1482 · Cited by 88
Self-citationDiffusion models reveal white matter microstructural changes with ageing, pathology and cognition
Raghavan, S., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Graff-Radford, J., Schwarz, C. G., Knopman, D. S., Mielke, M. M., Machulda, M. M., Petersen, R. C., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab106 · Cited by 79
Self-citationKnopman, D. S., Jack, C. R., Wiste, H. J., Weigand, S. D., Vemuri, P., Lowe, V. J., Kantarci, K., Gunter, J. L., Senjem, M. L., Mielke, M. M., et al. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.182 · Cited by 68
Self-citationThe prevalence of obstructive sleep apnea in mild cognitive impairment: a systematic review
Mubashir, T., Abrahamyan, L., Niazi, A., Piyasena, D., Arif, A. A., Wong, J., Osorio, R. S., Ryan, C. M., & Chung, F. (2019) · BMC Neurology · doi:10.1186/s12883-019-1422-3 · Cited by 65
Zanotta, D., Puricelli, S., & Bonoldi, G. (2014) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s51092 · Cited by 54
Ivanchak, N., Fletcher, K., & Jicha, G. A. (2012) · Current Psychiatry Reports · doi:10.1007/s11920-012-0305-8 · Cited by 54
Zotcheva, E., Håberg, A. K., Wisløff, U., Salvesen, Ø., Selbæk, G., Stensvold, D., & Ernstsen, L. (2022) · Sports Medicine · doi:10.1007/s40279-021-01608-5 · Cited by 43
Association of Hospitalization with Long‐Term Cognitive Trajectories in Older Adults
Sprung, J., Knopman, D. S., Petersen, R. C., Mielke, M. M., Weingarten, T. N., Vassilaki, M., Martin, D. P., Schulte, P. J., Hanson, A. C., Schroeder, D. R., et al. (2021) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16909 · Cited by 39
Self-citationGender Differences in the Association Between Hearing Loss and Cognitive Function
Huang, B., Cao, G., Duan, Y., Yan, S., Yan, M., Yin, P., & Jiang, H. (2020) · American Journal of Alzheimer's Disease & Other Dementias® · doi:10.1177/1533317519871167 · Cited by 34
Dean, K., Walker, Z., & Jenkinson, C. (2018) · Patient Related Outcome Measures · doi:10.2147/prom.s145676 · Cited by 34
Effects of Endurance-Focused Physical Activity Interventions on Brain Health: A Systematic Review
Halloway, S., Wilbur, J., Schoeny, M. E., & Arfanakis, K. (2017) · Biological Research For Nursing · doi:10.1177/1099800416660758 · Cited by 31
White Matter Degeneration Pathways Associated With Tau Deposition in Alzheimer Disease
Tian, J., Raghavan, S., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Gebre, R. K., Graff-Radford, J., Schwarz, C. G., Lowe, V. J., Kantarci, K., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207250 · Cited by 29
Self-citationGenetic risk scores enhance the diagnostic value of plasma biomarkers of brain amyloidosis
Ramanan, V. K., Gebre, R. K., Graff-Radford, J., Hofrenning, E., Algeciras-Schimnich, A., Figdore, D. J., Lowe, V. J., Mielke, M. M., Knopman, D. S., Ross, O. A., et al. (2023) · Brain · doi:10.1093/brain/awad196 · Cited by 24
Self-citationNODDI in gray matter is a sensitive marker of aging and early AD changes
Yu, X., Przybelski, S. A., Reid, R. I., Lesnick, T. G., Raghavan, S., Graff‐Radford, J., Lowe, V. J., Kantarci, K., Knopman, D. S., Petersen, R. C., et al. (2024) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12627 · Cited by 23
Self-citationBrain mechanical properties predict longitudinal cognitive change in aging and Alzheimer’s disease
Pavuluri, K., Huston, J., Ehman, R. L., Manduca, A., Vemuri, P., Jack, C. R., Senjem, M. L., & Murphy, M. C. (2025) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2025.01.001 · Cited by 18
The transcriptional and cellular landscape of cognitive resilience to Alzheimer’s disease
Khera, N., Raju, R. M., & Lipton, S. A. (2025) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2025.1665802 · Cited by 3
Metadata
- Authors
- Petersen, R. C., Roberts, R. O., Knopman, D. S., Geda, Y. E., Cha, R. H., Pankratz, V. S., Boeve, B. F., Tangalos, E. G., Ivnik, R. J., & Rocca, W. A.
- Venue
- Neurology
- Published
- 2010-09-07
- Volume
- 75
- Issue
- 10
- Pages
- 889-897
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- OpenAlex
- W2059481988
- Cited by
- 738
- References
- 9
- FWCI
- 23.33
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.