The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Change in risk of Alzheimer disease over time
Open accessAbstract
OBJECTIVE: To assess whether the risk of incidence of Alzheimer disease (AD) varies over time. The increase in numbers of people at the oldest ages in the population will bring an increase in the number of people with AD. Projections of the size of the increase assume the risk of AD is constant. METHODS: All persons age 65 or older in a biracial, geographically defined area were invited to participate in a home interview every 3 years. From the approximately 10,000 participants, stratified random samples were selected for detailed clinical evaluation. At each cycle, individuals determined free of AD in a previous cycle, either by examination or by high score on cognitive function tests, were sampled in the subsequent cycle for evaluation for incident AD. The evaluations for disease were structured and uniform across time. These analyses include 1,695 subjects evaluated for incident disease from 1997 through 2008. RESULTS: AD developed in 360 participants. Change over time in risk of incident disease was assessed in logistic regression analyses including evaluation date and controlling for age, gender, education, race, interval from disease-free designation to evaluation for incident disease, and sample design. The time variable (in years) was not significant (odds ratio = 0.970, 95% confidence interval = 0.902 to 1.044). CONCLUSIONS: The null relation of evaluation date to disease incidence suggests no recent change in risk of AD over time, and supports this assumption for projections of AD.
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“The greatest risk factors for late-onset Alzheimer's are older age, 62,63 genetics 64,65 -especially the e4 form of the apolipoprotein E (APOE) gene -and having a family history of Alzheimer's.[66][67][68][69]”
From 2023 Alzheimer's disease facts and figures (2023) · cites this paper as [62]
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“The main risk factor for SAD is age. Indeed, increased life expectancy is correlated with a higher probability of developing neurodegenerative diseases, including AD [89,90].”
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“The greatest risk factors for Alzheimer's dementia are older age, 70 , 71 genetics — especially the e4 form of the apolipoprotein E (APOE) gene 72 , 73 — and having a family history of Alzheimer's dementia.”
From 2024 Alzheimer's disease facts and figures (2024) · cites this paper as [70]
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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
Brookmeyer, R., Gray, S. G., & Kawas, C. H. (1998) · American Journal of Public Health · doi:10.2105/ajph.88.9.1337 · Cited by 1,802
Participation in Cognitively Stimulating Activities and Risk of Incident Alzheimer Disease
Wilson, R. S. (2002) · JAMA · doi:10.1001/jama.287.6.742 · Cited by 1,352
Self-citationTang, M.-X. (1998) · JAMA · doi:10.1001/jama.279.10.751 · Cited by 771
Social resources and cognitive decline in a population of older African Americans and whites
Barnes, L. L., Mendes de Leon, C. F., Wilson, R. S., Bienias, J. L., & Evans, D. A. (2004) · Neurology · doi:10.1212/01.wnl.0000147473.04043.b3 · Cited by 572
Self-citationAnnual Incidence of Alzheimer Disease in the United States Projected to the Years 2000 Through 2050
Hebert, L. E., Beckett, L. A., Scherr, P. A., & Evans, D. A. (2001) · Alzheimer Disease and Associated Disorders · doi:10.1097/00002093-200110000-00002 · Cited by 467
Self-citationAge-Specific Incidence of Alzheimer's Disease in a Community Population
Hebert, L. E. (1995) · JAMA · doi:10.1001/jama.1995.03520410048025 · Cited by 462
Self-citationThe Aging, Demographics, and Memory Study: Study Design and Methods
Langa, K. M., Plassman, B. L., Wallace, R. B., Herzog, A. R., Heeringa, S. G., Ofstedal, M. B., Burke, J. R., Fisher, G. G., Fultz, N. H., Hurd, M. D., et al. (2005) · Neuroepidemiology · doi:10.1159/000087448 · Cited by 415
Evans, D. A., Bennett, D. A., Wilson, R. S., Bienias, J. L., Morris, M. C., Scherr, P. A., Hebert, L. E., Aggarwal, N., Beckett, L. A., Joglekar, R., et al. (2003) · Archives of Neurology · doi:10.1001/archneur.60.2.185 · Cited by 370
Self-citationDesign of the Chicago Health and Aging Project (CHAP)
Bienias, J. L., Beckett, L. A., Bennett, D. A., Wilson, R. S., & Evans, D. A. (2003) · Journal of Alzheimer s Disease · doi:10.3233/jad-2003-5501 · Cited by 249
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Research works printed but not linked: 4
- Bienias JL Kott PS Beck TL Evans DA. Incorporating multiple observations into logistic regression models of incident disease. In: Proceedings of the Annual Meeting of the American Statistical Association Section on Survey Research Methods (CD-ROM: 2767– 2774 ). Alexandria VA: American Statistical Association; 2005.
- Bienias JL Kott PS Evans DA. Applying the delete-a-group jackknife variance estimator to analyses of data from a complex longitudinal survey. In: Proceedings of the Annual Meeting of the American Statistical Association Section on Survey Research Methods (CD-ROM: 539– 544 ). Alexandria VA: American Statistical Association; 2003.
- Little RJA Rubin DB. Statistical Analysis with Missing Data. New York: Wiley; 1987.
- Wolter KM. Introduction to Variance Estimation. New York: Springer-Verlag; 1985.
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Metadata
- Authors
- Hebert, L. E., Bienias, J. L., Aggarwal, N. T., Wilson, R. S., Bennett, D. A., Shah, R. C., & Evans, D. A.
- Affiliations
- Rush University Medical Center (US)
- Corresponding author
- Hebert, L.E.
- Venue
- Neurology
- Published
- 2010-08-31
- Volume
- 75
- Issue
- 9
- Pages
- 786-791
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC2938969
- OpenAlex
- W2163324016
- Cited by
- 158
- References
- 23
- Citations by year
- 2026: 6 · 2025: 11 · 2024: 12 · 2023: 8 · 2022: 19 · 2021: 16 · 2020: 10 · 2019: 18 · 2018: 15 · 2017: 14 · 2016: 5 · 2015: 5 · 2014: 7 · 2013: 4 · 2012: 3
- FWCI
- 2.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (AG11101)
- National Institute on Aging (RC2AG036650, R01AG017917, P30-AG 10161, U01AG012505, R01AG030146, AG 10161, R01 AG15819, AG029652, AG030146, R01AG11101, AG09966, AG-11101, R01AG030142, R01AG032247, U01 AG016979, R01AG011101, R01AG036042, U01AG010483, R01AG015819, P30AG010161, P01AG01449, AG036650, R01AG032755, R01AG030544, RC2AG036547, AG021972, R01AG024480, R01AG021972, P01AG009466, U24AG026395, P30 AG101061, 01AG032984, AG12505, R03AG029652, R01AG009966, R01AG024871, R01AG033678, R01AG034374, R01AG022018)
- National Heart, Lung, and Blood Institute (HL 084209, R01HL084209, R01HL096944)
- National Institute of Nursing Research (R01NR009543, R01NR010211, NR009543)
- National Institute of Environmental Health Sciences (R01ES010902, ES 10902)
- 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 › Endocrinology, Diabetes and Metabolism › Menopause: Health Impacts and Treatments
- Keywords
- Alzheimer's disease, incidence, oldest old, cognitive function
- MeSH terms
- Age Factors, Aged, Aged, 80 and over, Alzheimer Disease, Black or African American, Chicago, Female, Humans, Longitudinal Studies, Male, Risk Factors, Sex Factors, Socioeconomic Factors, Time Factors, Cohort Studies, Incidence, Black People, White People, Apolipoprotein E4
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