The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
Dietary Copper and High Saturated and trans Fat Intakes Associated With Cognitive Decline
Abstract
BACKGROUND: Evidence from prospective epidemiologic studies and animal models suggests that intakes of dietary fats and copper may be associated with neurodegenerative diseases. OBJECTIVE: To examine whether high dietary copper intake is associated with increased cognitive decline among persons who also consume a diet high in saturated and trans fats. DESIGN: Community-based prospective study. SETTING: Chicago, Ill. Patients Chicago residents 65 years and older. MAIN OUTCOME MEASURES: Cognitive function was assessed using 4 cognitive tests administered during in-home interviews at 3-year intervals for 6 years. Dietary assessment was performed with a food frequency questionnaire. Dietary intakes of copper and fats were related to change in global cognitive score (the mean of the 4 tests) among 3718 participants. RESULTS: Among persons whose diets were high in saturated and trans fats, higher copper intake was associated with a faster rate of cognitive decline. In multiple-adjusted mixed models, the difference in rates for persons in the highest (median, 2.75 mg/d) vs lowest (median, 0.88 mg/d) quintiles of total copper intake was -6.14 standardized units per year (P<.001) or the equivalent of 19 more years of age. There was also a marginally statistically significant association (P = .07) with the highest quintile of food intake of copper (median, 1.51 mg/d) and a strong dose-response association with higher copper dose in vitamin supplements. Copper intake was not associated with cognitive change among persons whose diets were not high in these fats. CONCLUSION: These data suggest that high dietary intake of copper in conjunction with a diet high in saturated and trans fats may be associated with accelerated cognitive decline.
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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
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923
RE: “TOTAL ENERGY INTAKE: IMPLICATIONS FOR EPIDEMIOLOGIC ANALYSES”
Palmgren, J., & Kushi, L. H. (1991) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a115841 · Cited by 2,711
Effect of dietary fatty acids on serum lipids and lipoproteins. A meta-analysis of 27 trials
Mensink, R. P., & Katan, M. B. (1992) · Arteriosclerosis and Thrombosis: A Journal of Vascular Biology · doi:10.1161/01.atv.12.8.911 · Cited by 1,477
Cherny, R. A., Atwood, C. S., Xilinas, M. E., Gray, D. N., Jones, W. D., McLean, C. A., Barnham, K. J., Volitakis, I., Fraser, F. W., Kim, Y.-S., et al. (2001) · Neuron · doi:10.1016/s0896-6273(01)00317-8 · Cited by 1,447
Cu(II) Potentiation of Alzheimer Aβ Neurotoxicity
Huang, X., Cuajungco, M. P., Atwood, C. S., Hartshorn, M. A., Tyndall, J. D. A., Hanson, G. R., Stokes, K. C., Leopold, M., Multhaup, G., Goldstein, L. E., et al. (1999) · Journal of Biological Chemistry · doi:10.1074/jbc.274.52.37111 · Cited by 762
Curtain, C. C., Ali, F., Volitakis, I., Cherny, R. A., Norton, R. S., Beyreuther, K., Barrow, C. J., Masters, C. L., Bush, A. I., & Barnham, K. J. (2001) · Journal of Biological Chemistry · doi:10.1074/jbc.m100175200 · Cited by 649
Dietary Fats and the Risk of Incident Alzheimer Disease
Morris, M. C., Evans, D. A., Bienias, J. L., Tangney, C. C., Bennett, D. A., Aggarwal, N., Schneider, J., & Wilson, R. S. (2003) · Archives of Neurology · doi:10.1001/archneur.60.2.194 · Cited by 529
Self-citationSparks, D. L., & Schreurs, B. G. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1832769100 · Cited by 459
Sparks, D. L., Scheff, S. W., Hunsaker, J. C., Liu, H., Landers, T., & Gross, D. R. (1994) · Experimental Neurology · doi:10.1006/exnr.1994.1044 · Cited by 443
Cited by
Dietary copper and human health: Current evidence and unresolved issues
Bost, M., Houdart, S., Oberli, M., Kalonji, E., Huneau, J.-F., & Margaritis, I. (2016) · Journal of Trace Elements in Medicine and Biology · doi:10.1016/j.jtemb.2016.02.006 · Cited by 756
Plassman, B. L., Williams, J. W., Burke, J. R., Holsinger, T., & Benjamin, S. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-153-3-201008030-00258 · Cited by 681
Metals in Alzheimer's and Parkinson's Diseases
Barnham, K. J., & Bush, A. I. (2008) · Current Opinion in Chemical Biology · doi:10.1016/j.cbpa.2008.02.019 · Cited by 695
Western diet consumption and cognitive impairment: Links to hippocampal dysfunction and obesity
Kanoski, S. E., & Davidson, T. L. (2011) · Physiology & Behavior · doi:10.1016/j.physbeh.2010.12.003 · Cited by 676
Nutrition and prevention of cognitive impairment
Scarmeas, N., Anastasiou, C. A., & Yannakoulia, M. (2018) · The Lancet Neurology · doi:10.1016/s1474-4422(18)30338-7 · Cited by 612
Metadata
- Authors
- Morris, M. C., Evans, D. A., Tangney, C. C., Bienias, J. L., Schneider, J. A., Wilson, R. S., & Scherr, P. A.
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2006-08-01
- Volume
- 63
- Issue
- 8
- Pages
- 1085
- ISSN
- 0003-9942 (ISSN-L)
- OpenAlex
- W2066095350
- Cited by
- 269
- References
- 20
- FWCI
- 8.44
- Type
- journal article
- Language
- en
- Open access
- closed
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