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2019 Alzheimer’s disease facts and figures.
Abstract
This article describes the public health impact of Alzheimer's disease (AD), including incidence and prevalence, mortality and morbidity, use and costs of care, and the overall impact on caregivers and society. The Special Report examines the use of brief cognitive assessments by primary care physicians as a tool for improving early detection of dementia. An estimated 5.8 million Americans have Alzheimer's dementia. By mid‐century, the number of people living with Alzheimer's dementia in the United States may grow to 13.8 million, fueled in large part by the aging baby boom generation. In 2017, official death certificates recorded 121,404 deaths from AD, making AD the sixth leading cause of death in the United States and the fifth leading cause of death among Americans age ≥65 years. Between 2000 and 2017, deaths resulting from stroke, heart disease, and prostate cancer decreased, whereas reported deaths from AD increased 145%. In 2018, more than 16 million family members and other unpaid caregivers provided an estimated 18.5 billion hours of care to people with Alzheimer's or other dementias. This care is valued at nearly $234 billion, but its costs extend to family caregivers' increased risk for emotional distress and negative mental and physical health outcomes. Average per‐person Medicare payments for services to beneficiaries age ≥65 years with Alzheimer's or other dementias are more than three times as great as payments for beneficiaries without these conditions. Total payments in 2019 for health care, long‐term care and hospice services for people age ≥65 years with dementia are estimated to be $290 billion. Early detection of Alzheimer's offers numerous medical, emotional and financial benefits—benefits that accrue to affected individuals and their families as well as to society at large. Alzheimer's Association surveys regarding brief cognitive assessments for detection of dementia found that while a large majority of seniors and primary care physicians say the assessments are important, only half of seniors have received an assessment, and only 16 percent of seniors receive regular cognitive assessments. Many educational opportunities exist to facilitate increased use of brief cognitive assessments in the primary care setting.
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“precise identification of FTD and AD, which are the two most common types of dementia in the younger-elderly population (Bang et al., 2015; Association, 2019), is of vital clinical significance in the diagnosis of dementias.”
From Deep Learning-Based Classification and Voxel-Based Visualization of Frontotemporal Dementia and Alzheimer's Disease (2021) · cites this paper as Association, 2019
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Jin, L., Zhao, K., Zhao, Y., Che, T., & Li, S. (2022) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2022.843566 · Cited by 24
“Alzheimer’s disease (AD) is one of the most common irreversible neurodegenerative diseases with progressive and irreversible characteristics, and sufferers of AD account for 50–80% (Guillon et al., 2017; Zhang et al., 2018; Alzheimer’s Association, 2019) of all types of dementia patients.”
BackgroundA Bibliometric Review on Gut Microbiome and Alzheimer’s Disease Between 2012 and 2021
Trejo-Castro, A. I., Carrión-Álvarez, D., Martínez‐Torteya, A., & Rangel‐Escareño, C. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.804177 · Cited by 24
Cognitive resilience and severe Alzheimer’s disease neuropathology
Ahangari, N., Fischer, C. E., Schweizer, T. A., & Muñoz, D. G. (2023) · Aging Brain · doi:10.1016/j.nbas.2023.100065 · Cited by 23
Zhou, M., Wang, X., Liu, T., Yang, Y., & Yang, P. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2024.3385712 · Cited by 24
“This is in line with other AD studies [52] because it has long been known that the hippocampus plays a key role in the development of AD.”
ResultTzvetkov, N. T., Stammler, H., Georgieva, M. G., Russo, D., Faraone, I., Balacheva, A. A., Hristova, S., Atanasov, A. G., Milella, L., Antonov, L., et al. (2019) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2019.06.041 · Cited by 24
Mahmoud, W. R., Nissan, Y. M., Elsawah, M. M., Refaey, R. H., Ragab, M. F., & Amin, K. M. (2019) · European Journal of Medicinal Chemistry · doi:10.1016/j.ejmech.2019.111651 · Cited by 24
Seelye, A. M., Leese, M. I., Dorociak, K. E., Bouranis, N., Mattek, N., Sharma, N., Beattie, Z., Riley, T., Lee, J., Cosgrove, K., et al. (2020) · JMIR Formative Research · doi:10.2196/16371 · Cited by 24
Cheng, Y., Ahmed, A., Zamrini, E., Tsuang, D. W., Sheriff, H. M., & Zeng-Treitler, Q. (2020) · Journal of Alzheimer's Disease · doi:10.3233/jad-191188 · Cited by 20
Bakulski, K. M., Vadari, H. S., Faul, J. D., Heeringa, S. G., Kardia, S. L. R., Langa, K. M., Smith, J. A., Manly, J. J., Mitchell, C. M., Benke, K. S., et al. (2021) · Neurology Genetics · doi:10.1212/nxg.0000000000000576 · Cited by 20
Godbole, N., Kwon, S. C., Beasley, J. M., Roberts, T. R., Kranick, J. A., Smilowitz, J., Park, A., Sherman, S. E., Trinh‐Shevrin, C., & Chodosh, J. (2022) · The Gerontologist · doi:10.1093/geront/gnac060 · Cited by 23
A Modality-Flexible Framework for Alzheimer's Disease Diagnosis Following Clinical Routine
Zhang, Y., Sun, K., Liu, Y., Xie, F., Guo, Q., & Shen, D. G. (2024) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2024.3472011 · Cited by 26
Firdaus, Z., & Li, X. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252111658 · Cited by 26
Zengin, G., Mahomoodally, M. F., Rocchetti, G., Lucini, L., Sieniawska, E., Świątek, Ł., Rajtar, B., Polz‐Dacewicz, M., Şenkardeş, İ., Aktümsek, A., et al. (2020) · Foods · doi:10.3390/foods9060705 · Cited by 23
Kapadia, A., Patel, A., Sharma, K. K., Maurya, I. K., Singh, V., Khullar, M., & Jain, R. (2020) · RSC Advances · doi:10.1039/d0ra04788k · Cited by 23
Detecting dementia among older, ethnically diverse residents of rural subsidized housing
Wiese, L. K., Williams, C. L., Hain, D. J., Newman, D. M., Houston, C. P., Kaack, C., & Galvin, J. E. (2020) · Geriatric Nursing · doi:10.1016/j.gerinurse.2020.09.005 · Cited by 23
Testing the Cognitive Reserve Index Questionnaire in an Alzheimer’s Disease Population
Garba, A. E., Grossberg, G. T., Enard, K. R., Jano, F. J., Roberts, E. N., Marx, C., & Buchanan, P. M. (2020) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-200244 · Cited by 23
Cognitive leisure activity and all-cause mortality in older adults: a 4-year community-based cohort
Liu, X., Ruan, Y., Huang, L., Guo, Y., Sun, S., Chen, H., Gao, J., Shi, Y., & Xiao, Q. (2021) · BMC Geriatrics · doi:10.1186/s12877-021-02180-3 · Cited by 22
James, T., James, D. L., & Larkey, L. (2021) · Geriatric Nursing · doi:10.1016/j.gerinurse.2021.02.006 · Cited by 30
Poloni, K. M., & Ferrari, R. J. (2021) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2021.106581 · Cited by 27
Pang, Z., Wang, X., Wang, X.-L., Qi, J., Zhao, Z., Gao, Y., Yang, Y., & Yang, P. (2021) · Journal on spesial topics in mobile networks and applications · doi:10.1007/s11036-021-01834-1 · Cited by 21
Abdallah, I. M., Al-Shami, K. M., Alkhalifa, A. E., Al-Ghraiybah, N. F., Guillaume, C., & Kaddoumi, A. (2023) · Molecules · doi:10.3390/molecules28031249 · Cited by 27
Ban, Y., Lao, H., Li, B., Su, W., & Zhang, X. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104326 · Cited by 23
Wu, Y., Niu, X., Li, P., Tong, T., Wang, Q., Zhang, M., Li, Y., Liu, J., & Li, Z. (2023) · Archives of Microbiology · doi:10.1007/s00203-023-03466-3 · Cited by 27
James, H. J., Houtven, C. H. V., Lippmann, S., Burke, J. R., Shepherd‐Banigan, M. E., Bélanger, E., Wetle, T. F., & Plassman, B. L. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-190922 · Cited by 23
Mosaic Somatic Gene Recombination as a Potentially Unifying Hypothesis for Alzheimer’s Disease
Kaeser, G. E., & Chun, J. J. M. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00390 · Cited by 23
Shively, C. A., Agnès Lacreuse, A., Frye, B. M., Rothwell, E. S., & Moro, M. (2021) · American Journal of Primatology · doi:10.1002/ajp.23309 · Cited by 24
Scrutinizing the Therapeutic Potential of PROTACs in the Management of Alzheimer’s Disease
Bhatia, S., Singh, M., Singh, T., & Singh, V. (2023) · Neurochemical Research · doi:10.1007/s11064-022-03722-w · Cited by 22
Saragosa, M., Jeffs, L., Okrainec, K., & Kuluski, K. (2022) · Dementia · doi:10.1177/14713012211031779 · Cited by 21
Metadata
- Authors
- Alzheimer's Association
- Corresponding author
- Alzheimer's Association
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2019-03
- Volume
- 15
- Issue
- 3
- Pages
- 321-387
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- OpenAlex
- W4211139529
- Cited by
- 2,461
- References
- 496
- Citations by year
- 2026: 108 · 2025: 214 · 2024: 245 · 2023: 310 · 2022: 357 · 2021: 558 · 2020: 544 · 2019: 120
- FWCI
- 316.68
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Alzheimer s & Dementia (publishedVersion)
- 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
- Health Sciences › Medicine › Geriatrics and Gerontology › Geriatric Care and Nursing Homes
- Keywords
- Alzheimer's disease, dementia
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 ›
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