Cited by 2,642Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsInsurance, Mortality, Demography, Risk Management

Alzheimer disease in the United States (2010–2050) estimated using the 2010 census

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Hebert, Liesi E., Weuve, Jennifer, Scherr, Paul A., Evans, Denis A.·2013·Neurology

Abstract

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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  • The number of people with Alzheimer's disease and related dementias in the U.S. is rapidly increasing.

    “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]

    The Abstract projects that the number of people in the United States with AD dementia will rise from 4.7 million in 2010 to 13.8 million in 2050. The Results link this growth to an aging population. The paper estimates AD dementia, however, not the broader category of Alzheimer’s disease and related dementias (ADRD). (LLM, conf=0.86)

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  • Sex is an important factor that contributes to clinical and biological heterogeneity in Alzheimer's disease.

    “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]

    The Abstract (page unavailable) includes sex in the models of Alzheimer’s dementia incidence and mortality and describes sex-specific prevalence estimates, supporting sex as a relevant factor in the paper’s epidemiological estimates. It does not address biological heterogeneity or show that sex contributes to differences in clinical presentation. (LLM, conf=0.78)

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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.

    “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]

  • 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.

    “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]

  • Around two-thirds of all Alzheimer's disease patients in the United States are women.

    “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]

    The Results (Table 1; page unavailable) give US Alzheimer disease estimates by age, not by sex. Although the methods describe calculating prevalence by sex, our copy does not report the proportion of patients who are women (searched: women, female, two-thirds, and 66%). (LLM, conf=0.76)

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Research works printed but not linked: 1

  1. [12]12. 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 Sta- tistical Association; 2003:539-544.

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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
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 · 2012: 1
FWCI
131.30
Type
journal article
Language
en
Open access
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
  • Health Sciences › Medicine › Physiology › 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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