The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Alzheimer disease in the United States (2010–2050) estimated using the 2010 census
Open accessAbstract
OBJECTIVES: To provide updated estimates of Alzheimer disease (AD) dementia prevalence in the United States from 2010 through 2050. METHODS: Probabilities of AD dementia incidence were calculated from a longitudinal, population-based study including substantial numbers of both black and white participants. Incidence probabilities for single year of age, race, and level of education were calculated using weighted logistic regression and AD dementia diagnosis from 2,577 detailed clinical evaluations of 1,913 people obtained from stratified random samples of previously disease-free individuals in a population of 10,800. These were combined with US mortality, education, and new US Census Bureau estimates of current and future population to estimate current and future numbers of people with AD dementia in the United States. RESULTS: We estimated that in 2010, there were 4.7 million individuals aged 65 years or older with AD dementia (95% confidence interval [CI] = 4.0-5.5). Of these, 0.7 million (95% CI = 0.4-0.9) were between 65 and 74 years, 2.3 million were between 75 and 84 years (95% CI = 1.7-2.9), and 1.8 million were 85 years or older (95% CI = 1.4-2.2). The total number of people with AD dementia in 2050 is projected to be 13.8 million, with 7.0 million aged 85 years or older. CONCLUSION: The number of people in the United States with AD dementia will increase dramatically in the next 40 years unless preventive measures are developed.
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“As the U.S. population ages, the number of people with Alzheimer’s disease and related dementias (ADRD) is rapidly increasing,1,2”
From Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias (2026) · cites this paper as [1]
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“Sex is an important factor that contributes to the clinical and biological heterogeneities in Alzheimer’s disease (AD)”
From Sex-specific DNA methylation differences in Alzheimer’s disease pathology (2021) · cites this paper as [2]
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“The aging of the baby-boom generation will significantly increase the number of people in the United States with Alzheimer's.70”
From 2023 Alzheimer's disease facts and figures (2023) · cites this paper as [70]
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“The aging of the population, including the baby‐boom generation, will significantly increase the number of people in the United States with Alzheimer's dementia.”
From 2024 Alzheimer's disease facts and figures (2024) · cites this paper as [78]
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“Of all AD patients in the United States, around two-thirds are women [2].”
From Sex specific molecular networks and key drivers of Alzheimer’s disease (2023) · cites this paper as [2]
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“Almost two-thirds of AD patients in the U.S. are women [2]”
From Sex-specific DNA methylation differences in Alzheimer’s disease pathology (2021) · cites this paper as [2]
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Citations
Cites
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Alzheimer Disease in the US Population: Prevalence Estimates Using the 2000 Census
Hebert, L. E., Scherr, P. A., Bienias, J. L., Bennett, D. A., & Evans, D. A. (2003) · Archives of Neurology · doi:10.1001/archneur.60.8.1119 · Cited by 2,168
Self-citationPrevalence of Dementia in the United States: The Aging, Demographics, and Memory Study
Plassman, B. L., Langa, K. M., Fisher, G. G., Heeringa, S. G., Weir, D. R., Ofstedal, M. B., Burke, J. R., Hurd, M. D., Potter, G. G., Rodgers, W. L., et al. (2007) · Neuroepidemiology · doi:10.1159/000109998 · Cited by 1,932
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(2016) · Cited by 1,241
Missed and Delayed Diagnosis of Dementia in Primary Care: Prevalence and Contributing Factors
Bradford, A., Kunik, M. E., Schulz, P., Williams, S. P., & Singh, H. (2009) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e3181a6bebc · Cited by 969
Glover, J. W. (2010) · Cited by 917
Age-specific incidence rates of Alzheimer’s disease: The Baltimore Longitudinal Study of Aging
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Research works printed but not linked: 1
- Bienias JL Kott PS Evans DA. Applying the delete-a-group jacknife varience estimator to analyses of data from a complex longitudinal survey . Proceedings of the Annual Meeting of the American Statistical Association Section on Survey Research Methods. Alexandria: American Statistical Association; 2003:539–544.
Cited by
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Items 1,001–1,012 of 1,012
Griffin, J. M., Meis, L. A., Greer, N., MacDonald, R., Jensen, A., Rutks, I., Carlyle, M., & Wilt, T. J. (2015) · Gerontology and Geriatric Medicine · doi:10.1177/2333721415595789 · Cited by 21
A microglia clonal inflammatory disorder in Alzheimer’s disease
Vicario, R., Fragkogianni, S., Weber, L., Lazarov, T., Hu, Y., Hayashi, S. Y., Craddock, B., Socci, N. D., Alberdi, A., Baako, A., et al. (2025) · eLife · doi:10.7554/elife.96519.3 · Cited by 21
Lin, C., Ly, M., Karim, H. T., Wei, W., Snitz, B. E., Klunk, W. E., & Aizenstein, H. J. (2020) · Alzheimer's Research & Therapy · doi:10.1186/s13195-019-0573-1 · Cited by 19
Lin, K. A., & Doraiswamy, P. M. (2015) · Frontiers in Neurology · doi:10.3389/fneur.2014.00288 · Cited by 42
Shang, X., Roccati, E., Zhu, Z., Kiburg, K., Wang, W., Huang, Y., Zhang, X., Zhang, X., Liu, J., Tang, S., et al. (2023) · Alzheimer's Research & Therapy · doi:10.1186/s13195-022-01140-2 · Cited by 18
“Around two-thirds of adults living with dementia are women [30], and this is possibly due to the fact that women live longer, on average, than men [31].”
BackgroundInhibiting USP16 rescues stem cell aging and memory in an Alzheimer’s model
Reinitz, F., Chen, E. Y., Nicolis di Robilant, B., Chuluun, B., Antony, J., Jones, R. C., Gubbi, N., Lee, K., Ho, W. H. D., Kolluru, S. S., et al. (2022) · eLife · doi:10.7554/elife.66037 · Cited by 18
A review of neuroimaging-based data-driven approach for Alzheimer’s disease heterogeneity analysis
Liu, L., Sun, S., Kang, W., Wu, S., & Lin, L. (2024) · Reviews in the Neurosciences · doi:10.1515/revneuro-2023-0033 · Cited by 16
“Demographic factors, including age, gender, and education, are commonly used in current subtype studies, with age (Hebert et al. 2013; Riedel et al. 2016) and female gender (Farrer et al. 1997) being the major risk factors for AD.”
MethodIn vivo network models identify sex differences in the spread of tau pathology across the brain
Shokouhi, S., Taylor, W. D., Albert, K., Kang, H., Newhouse, P. A., & Initiative, T. A. D. N. (2020) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12016 · Cited by 35
Enhancing early detection of cognitive impairment in primary care with the TabCAT-BHA
Breithaupt, A. G., Sideman, A. B., Goode, C., Hill‐Sakurai, L., Premkumar, M., Scheffler, A. W., Chodos, A., Tsoy, E., Rankin, K. P., Kramer, J. H., et al. (2025) · Alzheimer's & Dementia · doi:10.1002/alz.70437 · Cited by 10
Hantke, N. C., Kaye, J., Mattek, N., Wu, C.-Y., Dodge, H. H., Beattie, Z., & Woltjer, R. (2023) · PLOS ONE · doi:10.1371/journal.pone.0286812 · Cited by 10
Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias
Breithaupt, A. G., Tang, A., Paolillo, E. W., Bibars, M., Johnson, E. C. B., Saloner, R., Possin, K. L., Windon, C. C., Hill-Jarrett, T. G., Giorgio, J., et al. (2026) · Seminars in Neurology · doi:10.1055/a-2744-9871 · Cited by 6
Hockemeyer, N. G., Johns, S. A., Judge, K. S., Baucco, C., Gowan, T., Slaven, J. E., & Fowler, N. R. (2025) · Aging & Mental Health · doi:10.1080/13607863.2025.2453823 · Cited by 4
“Developing effective and scalable interventions to support family caregivers of people living with Alzheimer’s disease or a related dementia (ADRD) is a national priority (Alzheimer’s Association, 2024; Hebert et al. 2013).”
Metadata
- Authors
- Hebert, L. E., Weuve, J., Scherr, P. A., & Evans, D. A.
- Affiliations
- Rush University (US)
- Venue
- Neurology
- Published
- 2013-05-07
- Volume
- 80
- Issue
- 19
- Pages
- 1778-1783
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3719424
- OpenAlex
- W2071068165
- Cited by
- 2,642
- References
- 19
- Citations by year
- 2026: 81 · 2025: 119 · 2024: 192 · 2023: 167 · 2022: 242 · 2021: 312 · 2020: 317 · 2019: 232 · 2018: 210 · 2017: 212 · 2016: 217 · 2015: 160 · 2014: 129 · 2013: 47
- FWCI
- 131.30
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alzheimer's Association
- National Institutes of Health (AG011101)
- National Institute on Aging (RC2AG036650, U01AG012505, R01AG030146, AG011101, R01AG011101, P30AG010161, R01AG021972, R01AG009966)
- National Heart, Lung, and Blood Institute (R01HL084209)
- National Institute of Nursing Research (R01NR009543, R01NR010211)
- National Institute of Environmental Health Sciences (R21ES020404, R01ES010902, R21ES019712)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Social Sciences › Demography › Insurance, Mortality, Demography, Risk Management
- Keywords
- Alzheimer's disease, dementia prevalence, population projections, older adults, age-specific prevalence, racial differences, educational attainment, population aging, United States
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Female, Forecasting, Humans, Longitudinal Studies, Male, Population Surveillance, United States, Incidence, Censuses
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