The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Metabolic Syndrome and Cognitive Disorders: Is the Sum Greater Than Its Parts?
Abstract
Given the anticipated exponential increase in both the incidence and prevalence of dementia, it is critical to identify preventative strategies and improved treatments for this disorder. The metabolic syndrome is comprised of 5 cardiovascular risk factors that include abdominal obesity, hypertriglyceridemia, low high-density lipoprotein levels, hypertension, and hyperglycemia. The prevalence of the metabolic syndrome, similar to that for cognitive disorders, increases dramatically with age. Several possible mechanisms may explain an association between the metabolic syndrome and cognitive decline including microvascular and macrovascular disease, inflammation, adiposity, and insulin resistance. Although some of the individual components of the metabolic syndrome have been linked to risk of developing dementia and cognitive impairment, few studies have looked at the components of the metabolic syndrome as a whole. We found, in 3 separate studies involving elders of different ethnicities, that the metabolic syndrome is a risk factor for accelerated cognitive aging. This was especially true for elders with the metabolic syndrome and with elevated serum level of inflammation. If metabolic syndrome is associated with increased risk of developing cognitive impairment, regardless of mechanism, then early identification and treatment of these individuals might offer avenues for disease course modification.
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Citations
Cites
The metabolic syndrome, inflammation, and risk of cognitive decline
Yaffe, K. (2004) · JAMA · doi:10.1001/jama.292.18.2237 · Cited by 1,025
Self-citationCardiovascular risk factors and cognitive decline in middle-aged adults
Knopman, D., Boland, L. L., Mosley, T., Howard, G., Liao, D., Szklo, M., McGovern, P., & Folsom, A. R. (2001) · Neurology · doi:10.1212/wnl.56.1.42 · Cited by 883
Inflammatory markers and cognition in well-functioning African-American and white elders
Yaffe, K., Lindquist, K., Penninx, B. W., Simonsick, E. M., Pahor, M., Kritchevsky, S., Launer, L., Kuller, L., Rubin, S., & Harris, T. (2003) · Neurology · doi:10.1212/01.wnl.0000073620.42047.d7 · Cited by 706
Self-citationIncidence and Risk of Dementia: The Rotterdam study
Ott, A., Breteler, M. M. B., Harskamp, F. V., Stijnen, T., & Hofman, A. (1998) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a009489 · Cited by 455 · cited 1×
“Over 33% of women and 20% of men aged 65 and older will develop dementia during their lifetime, and many more will develop a milder form of cognitive impairment.(1) Given the anticipated exponential increase in both the incidence and prevalence of cognitive dementia in the next century, it is critical to identify prev…”
BackgroundObesity‐related leptin regulates Alzheimer's Aβ
Fewlass, D. C., Noboa, K., Pi‐Sunyer, F. X., Johnston, J. M., Yan, S. D., & Tezapsidis, N. (2004) · The FASEB Journal · doi:10.1096/fj.04-2572com · Cited by 308
Insulin and Leptin as Adiposity Signals
Benoit, S. C. (2004) · Recent Progress in Hormone Research · doi:10.1210/rp.59.1.267 · Cited by 266
Kanaya, A. M., Barrett-Connor, E., Gildengorin, G., & Yaffe, K. (2004) · Archives of Internal Medicine · doi:10.1001/archinte.164.12.1327 · Cited by 255
Self-citationInflammation, Hypertension, and the Metabolic Syndrome
Grundy, S. M. (2003) · JAMA · doi:10.1001/jama.290.22.3000 · Cited by 170
Cited by
Dementia prevention, intervention, and care
Livingston, G., Sommerlad, A., Orgeta, V., Costafreda, S. G., Huntley, J., Ames, D., Ballard, C., Banerjee, S., Burns, A., Cohen-Mansfield, J., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)31363-6 · Cited by 6,072
Molecular inflammation: Underpinnings of aging and age-related diseases
Chung, H. Y., Cesari, M., Anton, S., Marzetti, E., Giovannini, S., Seo, A. Y., Carter, C., Yu, B. P., & Leeuwenburgh, C. (2009) · Ageing Research Reviews · doi:10.1016/j.arr.2008.07.002 · Cited by 1,203
Socio‐economic differentials in peripheral biology: Cumulative allostatic load
Seeman, T., Epel, E., Gruenewald, T., Karlamangla, A., & McEwen, B. S. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2009.05341.x · Cited by 579
Promising Strategies for the Prevention of Dementia
Middleton, L. E., & Yaffe, K. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.201 · Cited by 396
Self-citationThe Circadian Syndrome: is the Metabolic Syndrome and much more!
Zimmet, P., Alberti, K. G. M. M., Stern, N., Bilu, C., El‐Osta, A., Einat, H., & Kronfeld‐Schor, N. (2019) · Journal of Internal Medicine · doi:10.1111/joim.12924 · Cited by 387
Metadata
- Authors
- Yaffe, K.
- Venue
- Alzheimer Disease & Associated Disorders
- Published
- 2007-04
- Volume
- 21
- Issue
- 2
- Pages
- 167-171
- ISSN
- 0893-0341 (ISSN-L)
- OpenAlex
- W1992723640
- Cited by
- 185
- References
- 8
- FWCI
- 8.19
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
