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Relation of Diabetes to Mild Cognitive Impairment
Abstract
BACKGROUND: Type 2 diabetes mellitus is an important risk factor for Alzheimer disease and is more prevalent in elderly minority persons compared with non-Hispanic white persons. OBJECTIVE: To determine whether diabetes is related to a higher risk of mild cognitive impairment (MCI), a transitional stage between normal cognition and Alzheimer disease, in a multiethnic cohort with a high prevalence of diabetes. DESIGN: Longitudinal cohort study. SETTING: Northern Manhattan in New York, NY. PARTICIPANTS: We studied persons without prevalent MCI or dementia at baseline and with at least 1 follow-up interval. Of 1772 participants with a complete neuropsychological evaluation, 339 (19.1%) were excluded because of prevalent dementia, 304 were excluded because of prevalent MCI (17.2%), and 211 were excluded because of loss to follow-up (11.9%), resulting in a final sample of 918 participants for longitudinal analyses. MAIN OUTCOME MEASURES: We related diabetes defined by self-report to incident all-cause MCI, amnestic MCI, and nonamnestic MCI. We conducted multivariate analyses with proportional hazards regression adjusting for age, sex, years of education, ethnic group, apolipoprotein E (APOE) epsilon4 allele, hypertension, low-density lipoprotein level, current smoking, heart disease, and stroke. RESULTS: A total of 334 persons had incident MCI, 160 (47.9%) had amnestic MCI, and 174 (52.1%) had nonamnestic MCI. Diabetes was related to a significantly higher risk of all-cause MCI and amnestic MCI after adjustment for all covariates. Diabetes was also related to a higher risk of nonamnestic MCI, but this association was appreciably attenuated after adjustment for socioeconomic variables and vascular risk factors. The risk of MCI attributable to diabetes was 8.8% for the whole sample and was higher for African American persons (8.4%) and Hispanic persons (11.0%) compared with non-Hispanic white persons (4.6%), reflecting the higher prevalence of diabetes in minority populations in the United States. CONCLUSION: Diabetes is related to a higher risk of amnestic MCI in a population with a high prevalence of this disorder.
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“Compared with older adults without diabetes, those with the disease are at an increased risk of mild cognitive impairment (114).”
From Psychosocial care for people with diabetes: a position statement of the American Diabetes Association (2016) · cites this paper as [114]
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Cites
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
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
Statistical Methods for Rates and Proportions
Fleiss, J. L., Levin, B., & Paik, M. C. (2003) · Wiley Series in Probability and Statistics · doi:10.1002/0471445428 · Cited by 18,646
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D. L., & Stadlan, E. (2011) · Neurology · doi:10.1212/01.wnl.0000400650.92875.cf · Cited by 9,882
Statistical Methods for Rates and Proportions.
Everitt, B. S., & Fleiss, J. L. (1981) · Biometrics · doi:10.2307/2530193 · Cited by 9,034
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
A New Clinical Scale for the Staging of Dementia
Hughes, C. P., Berg, L., Danziger, W., Coben, L. A., & Martin, R. L. (1982) · British Journal of Psychiatry · doi:10.1192/bjp.140.6.566 · Cited by 7,056
Cox, D. R., & Oakes, D. (2018) · Chapman & Hall/CRC eBooks · doi:10.1201/9781315137438 · Cited by 6,269
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Zhou, X., Münch, G. W., & Chang, D. (2022) · Biochemistry · doi:10.5772/intechopen.108733 · Cited by 1
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Hepburn, J. D. (2012) · Scholarship@Western (Western University)
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da Silva, J. A. D. V. (2011) · Americanae (AECID Library)
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Mouttaqui, O. K. E., Chadli, A., Elaziz, S., Ghomari, H. E., & Farouqi, A. (2015) · Médecine des Maladies Métaboliques · doi:10.1016/s1957-2557(15)30254-6
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Johnson‐Turbes, A., & Niles, P. (2016)
Diabetes mellitus and its impact on older people
Phillips, A., & Phillips, S. (2017) · Nursing and Residential Care · doi:10.12968/nrec.2017.19.8.446
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Hu, C., Wang, L., Guo, Y., Cao, Z., Lu, Y., & Qin, H. (2019) · Research Square · doi:10.21203/rs.2.347/v1
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Soares, L. M. (2010) · doi:10.47749/t/unicamp.2010.776860 · Cited by 1
Rosenzweig, S. A. (2020) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.732579862.793572336
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Turk, K. (2019) · Alzheimer s Research & Therapy Open Access · doi:10.23880/artoa-16000108
Salman, B., Jehangir, F., Jahan, A., Aslam, S., & Ansari, N. (2023) · Journal of Rawalpindi Medical College · doi:10.37939/jrmc.v27i2.2182
Ahmed, A., Mathew, L. S., Mona, M. M., Docmac, O. K., Ibrahim, H. A., Elshamy, A. M., Hantash, E. M., & Elsisy, R. A. (2023) · Research Square · doi:10.21203/rs.3.rs-3315805/v1
Gonzalvo, J. D., Hamm, J. A., Stratton, S. M., Chaudhry, F., Duker, P. N., & Muñoz, C. (2024) · ADCES in Practice · doi:10.1177/2633559x241280410
Fu, F., Huang, X., Huang, S., & Yue, F. (2025) · Biophotonics and Immune Responses · doi:10.1117/12.3041870
Panati, D., Madarapu, Y., Sibbala, B., Puthalapattu, S., & Gandla, S. D. (2025) · Archives of Mental Health · doi:10.4103/amh.amh_220_24
Jacobs, T., Jacobson, S. R., Fortea, J., Berger, J. S., Vedvyas, A., Marsh, K., He, T., Gutiérrez‐Jiménez, E., Fillmore, N. R., Gonzalez, M., et al. (2024) · Figshare · doi:10.6084/m9.figshare.25853015
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Musfee, F. I., Agarwal, S., Maroufy, V., Liu, C., McCormick, J. B., FISHER-HOCH, S. P., & Savitz, S. I. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251408098
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Frison, É. (2019) · theses.fr (ABES) · doi:10.70675/a527bd03zb814z44e5z8848z942b662a0847
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Metadata
- Authors
- Luchsinger, J. A., Reitz, C., Patel, B., Tang, M.-X., Manly, J. J., & Mayeux, R.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2007-04-01
- Volume
- 64
- Issue
- 4
- Pages
- 570
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2034664059
- Cited by
- 592
- References
- 58
- Citations by year
- 2026: 14 · 2025: 22 · 2024: 24 · 2023: 26 · 2022: 24 · 2021: 28 · 2020: 37 · 2019: 32 · 2018: 28 · 2017: 29 · 2016: 35 · 2015: 33 · 2014: 47 · 2013: 34 · 2012: 39
- FWCI
- 19.93
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (P01AG007232, K08AG020856, AG 07702, AG 07232, 1K08 AG 20856-01)
- National Center for Research Resources (RR 00645, M01RR000645)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Oncology › Cancer-related cognitive impairment studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Keywords
- type 2 diabetes, mild cognitive impairment, amnestic mild cognitive impairment, non-amnestic mild cognitive impairment, Alzheimer's disease risk, racial and ethnic disparities, African Americans, Hispanic Americans, minority groups, vascular risk factors, socioeconomic factors
- MeSH terms
- Aged, Aged, 80 and over, Analysis of Variance, Apolipoproteins E, Black or African American, Cognition Disorders, Diabetes Mellitus, Type 2, Female, Follow-Up Studies, Genotype, Hispanic or Latino, Humans, Male, Middle Aged, Neuropsychological Tests, New York, Risk Factors, Cohort Studies, Prevalence, White People
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