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Early Adult to Midlife Cardiovascular Risk Factors and Cognitive Function
Open accessAbstract
Background—: Studies have linked midlife and late-life cardiovascular risk factors (CVRFs) to cognitive function, yet little is known about CVRF exposure in early adulthood and subsequent cognitive function. In addition, most studies rely on single assessments of CVRFs, which may not accurately reflect long-term exposure. We sought to determine the association between cumulative exposure to CVRFs from early to middle adulthood and cognitive function at midlife. Methods and Results—: In a prospective study of 3381 adults (age, 18–30 years at baseline) with 25 years of follow-up, we assessed cognitive function at year 25 (2010–2011) with the Digit Symbol Substitution Test, Stroop Test, and Rey Auditory Verbal Learning Test analyzed with standardized z scores. The primary predictor was 25-year cumulative exposure estimated by areas under the curve for resting systolic and diastolic blood pressures, fasting blood glucose, and total cholesterol. Higher cumulative systolic and diastolic blood pressures and fasting blood glucose were consistently associated with worse cognition on all 3 tests. These associations were significant primarily for exposures above recommended guidelines; cognitive test z scores were between 0.06 and 0.30 points less, on average, for each 1-SD increase in risk factor area under the curve after adjustment for age, race, sex, and education ( P <0.05 for all). Fewer significant associations were observed for cholesterol. Conclusions—: Cumulative exposure to CVRFs from early to middle adulthood, especially above recommended guidelines, was associated with worse cognition in midlife. The meaning of this association and whether it warrants more aggressive treatment of CVRFs earlier in life require further investigation.
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“The CARDIA study (Coronary Artery Risk Development in Young Adults), for example, showed that cumulative systolic and diastolic BPs and fasting glucose were consistently associated with worse cognition.89”
From Defining Optimal Brain Health in Adults: A Presidential Advisory From the American Heart Association/American Stroke Association (2017) · cites this paper as [89]
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“Furthermore, in another study, cumulative exposure to cardiovascular risk factors from early to middle adulthood, especially above recommended guideline levels, has been associated with worse cognition in midlife.89”
From Defining Optimal Brain Health in Adults: A Presidential Advisory From the American Heart Association/American Stroke Association (2017) · cites this paper as [89]
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“Although cognition was not the primary focus of this publication, several other study results support the belief that favorable cardiovascular health earlier in life leads to maintenance of cognitive vitality.89,174”
From Defining Optimal Brain Health in Adults: A Presidential Advisory From the American Heart Association/American Stroke Association (2017) · cites this paper as [89]
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Cites
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
Half a century of research on the Stroop effect: An integrative review.
MacLeod, C. M. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.109.2.163 · Cited by 5,500
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Jack, C. R., Knopman, D. S., Jagust, W. J., Shaw, L. M., Aisen, P. S., Weiner, M. W., Petersen, R. C., & Trojanowski, J. Q. (2010) · The Lancet Neurology · doi:10.1016/s1474-4422(09)70299-6 · Cited by 4,806
Lloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750
Hearing loss and cognitive decline in older adults
Lin, F. R., Yaffe, K., Xia, J., Xue, Q.-L., Harris, T. B., Purchase-Helzner, E., Satterfield, S., Ayonayon, H. N., Ferrucci, L., Simonsick, E. M., et al. (2013) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2013.1868 · Cited by 4,017
Self-citationThe projected effect of risk factor reduction on Alzheimer's disease prevalence
Barnes, D. E., & Yaffe, K. S. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70072-2 · Cited by 2,846
Self-citationWechsler Adult Intelligence Scale--Third Edition
Wechsler, D. (2019) · PsycTESTS Dataset · doi:10.1037/t49755-000 · Cited by 2,327
A Life Course Approach to Chronic Disease Epidemiology
Kuh, D., Ben Shlomo, Y., & Ezra, S. (2004) · doi:10.1093/acprof:oso/9780198578154.001.0001 · Cited by 1,983
Cardia: study design, recruitment, and some characteristics of the examined subjects
FRIEDMAN, G. D., Cutter, G., Donahue, R. P., Hughes, G. H., Hulley, S. B., Jacobs, D. R., Liu, K., & Savage, P. J. (1988) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(88)90080-7 · Cited by 1,689
Kivipelto, M., Helkala, E.-L., Laakso, M. P., Hänninen, T., Hallikainen, M., Alhainen, K., Soininen, H., Tuomilehto, J., & Nissinen, A. (2001) · BMJ · doi:10.1136/bmj.322.7300.1447 · Cited by 1,618
Flagged first, then by citations
Research works printed but not linked: 1
- Schmidt MRey Auditory Verbal Learning Test: A Handbook. Los Angeles, CA: Western Psychological Services;1996.
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Sorted by citations
Heart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987
Self-citationThe Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2019)
Umemura, S., Arima, H., Arima, S., Asayama, K., Dohi, Y., Hirooka, Y., Horio, T., Hoshide, S., Ikeda, S., Ishimitsu, T., et al. (2019) · Hypertension Research · doi:10.1038/s41440-019-0284-9 · Cited by 1,880
Iadecola, C., Yaffe, K., Biller, J., Bratzke, L. C., Faraci, F. M., Gorelick, P. B., Gulati, M., Kamel, H., Knopman, D. S., Launer, L. J., et al. (2016) · Hypertension · doi:10.1161/hyp.0000000000000053 · Cited by 746
Self-citationNeurovascular and Cognitive Dysfunction in Hypertension
Iadecola, C., & Gottesman, R. F. (2019) · Circulation Research · doi:10.1161/circresaha.118.313260 · Cited by 530
Gorelick, P. B., Furie, K. L., Iadecola, C., Smith, E. E., Waddy, S. P., Lloyd-Jones, D. M., Bae, H.-J., Bauman, M. A., Dichgans, M., Duncan, P. W., et al. (2017) · Stroke · doi:10.1161/str.0000000000000148 · Cited by 411
Self-citationA major role for cardiovascular burden in age-related cognitive decline
Qiu, C., & Fratiglioni, L. (2015) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2014.223 · Cited by 422
Anstey, K. J., Ashby-Mitchell, K., & Peters, R. (2017) · Journal of Alzheimer’s Disease · doi:10.3233/jad-160826 · Cited by 360
Brain in Congenital Heart Disease Across the Lifespan: The Cumulative Burden of Injury
Marelli, A., Miller, S. P., Marino, B. S., Jefferson, A. L., & Newburger, J. W. (2016) · Circulation · doi:10.1161/circulationaha.115.019881 · Cited by 359
Jones, D. W., Ferdinand, K. C., Taler, S. J., Johnson, H. M., Shimbo, D., Abdalla, M., Altieri, M. M., Bansal, N., Bello, N. A., Bress, A. P., et al. (2025) · Hypertension · doi:10.1161/hyp.0000000000000249 · Cited by 424
Jones, D. W., Ferdinand, K. C., Taler, S. J., Johnson, H. M., Shimbo, D., Abdalla, M., Altieri, M. M., Bansal, N., Bello, N. A., Bress, A. P., et al. (2025) · JACC · doi:10.1016/j.jacc.2025.05.007 · Cited by 280
Combining modifiable risk factors and risk of dementia: a systematic review and meta-analysis
Peters, R., Booth, A., Rockwood, K., Peters, J., D’Este, C., & Anstey, K. J. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-022846 · Cited by 255
Zloković, B. V., Gottesman, R. F., Bernstein, K. E., Seshadri, S. S., McKee, A. C., Snyder, H. M., Greenberg, S. M., Yaffe, K. S., Schaffer, C. B., Yuan, C., et al. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12157 · Cited by 252
Self-citationAssociation of Cumulative Blood Pressure With Cognitive Decline, Dementia, and Mortality
Li, C., Zhu, Y., Ma, Y., Hua, R., Zhong, B., & Xie, W. (2022) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2022.01.045 · Cited by 235
Gottesman, R. F., Lutsey, P. L., Benveniste, H., Brown, D. L., Full, K. M., Lee, J., Osorio, R. S., Pase, M. P., Redeker, N. S., Redline, S. S., et al. (2024) · Stroke · doi:10.1161/str.0000000000000453 · Cited by 276
Jones, D. W., Ferdinand, K. C., Taler, S. J., Johnson, H. M., Shimbo, D., Abdalla, M., Altieri, M. M., Bansal, N., Bello, N. A., Bress, A. P., et al. (2025) · Circulation · doi:10.1161/cir.0000000000001356 · Cited by 335
Angell, S. Y., McConnell, M. V., Anderson, C. A. M., Bibbins-Domingo, K. B., Boyle, D. S., Capewell, S., Ezzati, M., de Ferranti, S. D., Gaskin, D. J., Goetzel, R. Z., et al. (2020) · Circulation · doi:10.1161/cir.0000000000000758 · Cited by 195
Faraco, G., Park, L., Zhou, P., Luo, W., Paul, S. M., Anrather, J., & Iadecola, C. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2015.79 · Cited by 158
Pharmacotherapy for Vascular Cognitive Impairment
Farooq, M. U., Min, J., Goshgarian, C., & Gorelick, P. B. (2017) · CNS Drugs · doi:10.1007/s40263-017-0459-3 · Cited by 154
Association Between Lifetime Marijuana Use and Cognitive Function in Middle Age
Auer, R., Vittinghoff, E., Yaffe, K. S., Künzi, A., Kertesz, S. G., Levine, D. A., Albanese, E., Whitmer, R. A., Jacobs, D. R., Sidney, S. S., et al. (2016) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.7841 · Cited by 149
Self-citationde la Torre, J. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180004 · Cited by 161
Cardiovascular Risk Factors From Childhood and Midlife Cognitive Performance
Rovio, S., Pahkala, K., Nevalainen, J., Juonala, M., Salo, P., Kähönen, M. A. P., Hutri‐Kähönen, N., Lehtimäki, T. J., Jokinen, E. V., Laitinen, T. P., et al. (2017) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.02.060 · Cited by 145
Park, L., Wang, G., Moore, J. M. R., Girouard, H., Zhou, P., Anrather, J., & Iadecola, C. (2014) · Nature Communications · doi:10.1038/ncomms6318 · Cited by 137
Cognitive functioning, aging, and work: A review and recommendations for research and practice.
Fisher, G. G., Chaffee, D. S., Tetrick, L. E., Davalos, D. B., & Potter, G. G. (2017) · Journal of Occupational Health Psychology · doi:10.1037/ocp0000086 · Cited by 163
The Coronary Artery Risk Development In Young Adults (CARDIA) Study
Lloyd-Jones, D. M., Lewis, C. E., Schreiner, P. J., Shikany, J. M., Sidney, S., & Reis, J. P. (2021) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2021.05.022 · Cited by 130
Self-citationWu, J., Song, X., Chen, G., Neelakantan, N., van Dam, R. M., Feng, L., Yuan, J., Pan, A., & Koh, W. (2019) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz150 · Cited by 135
Tedaldi, E., Minniti, N. L., & Fischer, T. (2015) · BioMed Research International · doi:10.1155/2015/641913 · Cited by 142
Effects of Blood Pressure on Cognitive Performance: A Systematic Review
Forte, G., Pascalis, V. D., Favieri, F., & Casagrande, M. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm9010034 · Cited by 135
Mahinrad, S., Kurian, S., Garner, C. R., Sedaghat, S., Nemeth, A. J., Moscufo, N., Higgins, J. P., Jacobs, D. R., Hausdorff, J. M., Lloyd‐Jones, D. M., et al. (2019) · Circulation · doi:10.1161/circulationaha.119.042502 · Cited by 126
Wang, A., Liu, J., Li, C., Gao, J., Li, X., Chen, S., Wu, S., Ding, H., Fan, H., & Hou, S. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.117.005610 · Cited by 119
Is late‐onset Alzheimer's disease really a disease of midlife?
Ritchie, K. A., Ritchie, C. W., Yaffe, K. S., Skoog, I. G., & Scarmeas, N. (2015) · Alzheimer s & Dementia Translational Research & Clinical Interventions · doi:10.1016/j.trci.2015.06.004 · Cited by 124
Self-citationCompromised microvascular oxygen delivery increases brain tissue vulnerability with age
Moeini, M., Lu, X., Avti, P., Damseh, R., Bélanger, S., Picard, F., Boas, D. A., Kakkar, A. K., & Lesage, F. (2018) · Scientific Reports · doi:10.1038/s41598-018-26543-w · Cited by 109
Theories of Cognitive Aging and Work
Fisher, G. G., Chacón, M., & Chaffee, D. S. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812756-8.00002-5 · Cited by 137
Cardiovascular risk factors and accelerated cognitive decline in midlife
Yaffe, K. S., Bahorik, A. L., Hoang, T. D. M., Forrester, S., Jacobs, D. R., Lewis, C. E., Lloyd‐Jones, D. M., Sidney, S., & Reis, J. P. (2020) · Neurology · doi:10.1212/wnl.0000000000010078 · Cited by 118
Self-citationAssociation between blood pressure and later-life cognition among black and white individuals
Levine, D. A., Gross, A. L., Briceño, E. M., Tilton, N., Kabeto, M. U., Hingtgen, S. M., Giordani, B. J., Sussman, J. B., Hayward, R. A., Burke, J. F., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0568 · Cited by 103
Self-citationQuigley, A., MacKay-Lyons, M. J., & Eskes, G. A. (2020) · Journal of Aging Research · doi:10.1155/2020/1407896 · Cited by 115
Hazzouri, A. Z. A., Elfassy, T., Sidney, S. S., Jacobs, D. R., Stable, E. J. P., & Yaffe, K. S. (2016) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.08.009 · Cited by 94
Self-citationForbes, S. C., Holroyd-Leduc, J. M., Poulin, M. J., & Hogan, D. B. (2015) · Canadian Geriatrics Journal · doi:10.5770/cgj.18.189 · Cited by 97
Neurocognitive Function in Children with Primary Hypertension
Lande, M. B., Batisky, D. L., Kupferman, J. C., Samuels, J., Hooper, S. R., Falkner, B. E., Waldstein, S. R., Szilagyi, P. G., Wang, H., Staskiewicz, J., et al. (2016) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2016.08.076 · Cited by 90
Rêgo, M. L. D. M., Cabral, D. A. R., Costa, E. C., & Fontes, E. B. (2019) · Clinical Medicine Insights Cardiology · doi:10.1177/1179546819839411 · Cited by 102
Dietary patterns during adulthood and cognitive performance in midlife
McEvoy, C. T., Hoang, T. D. M., Sidney, S., Steffen, L. M., Jacobs, D. R., Shikany, J. M., Wilkins, J. T., & Yaffe, K. S. (2019) · Neurology · doi:10.1212/wnl.0000000000007243 · Cited by 90
Self-citationAtrial fibrillation and dementia
Jacobs, V., Cutler, M. J., Day, J. D., & Bunch, T. J. (2014) · Trends in Cardiovascular Medicine · doi:10.1016/j.tcm.2014.09.002 · Cited by 84
The Effects of Aerobic Exercise on Cognitive and Neural Decline in Aging and Cardiovascular Disease
Hayes, S. M., Alosco, M. L., & Forman, D. E. (2014) · Current Geriatrics Reports · doi:10.1007/s13670-014-0101-x · Cited by 86
Cognitive Impairment in Heart Failure: Landscape, Challenges, and Future Directions
Yang, M., Sun, D., Wang, Y., Yan, M., Zheng, J., & Ren, J. (2022) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2021.831734 · Cited by 83
DOMANSKI, M. J., Wu, C. O., Tian, X., Hasan, A., Ma, X., Huang, Y., Miao, R., Reis, J. P., Bae, S., Husain, A., et al. (2023) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2023.01.024 · Cited by 78
Cardiovascular Risk Factors Across the Life Course and Cognitive Decline
Yaffe, K. S., Vittinghoff, E., Hoang, T. D. M., Matthews, K. A., Golden, S. H., & Hazzouri, A. Z. A. (2021) · Neurology · doi:10.1212/wnl.0000000000011747 · Cited by 84
Self-citationCaunca, M. R., Odden, M. C., Glymour, M. M., Elfassy, T., Kershaw, K. N., Sidney, S., Yaffe, K., Launer, L., & Zeki Al Hazzouri, A. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0860 · Cited by 73
Self-citationOhya, Y., Arakawa, K., Arata, N., Arima, S., Arima, H., Asayama, K., Dohi, Y., Fukami, A., Furuhashi, M., Goto, K., et al. (2026) · Hypertension Research · doi:10.1038/s41440-025-02462-y · Cited by 91
Health-Promoting Strategies for the Aging Brain
Chen, S. T., Volle, D. C., Jalil, J., Wu, P., & Small, G. W. (2018) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2018.12.016 · Cited by 75
Coronary Artery Calcium and Risk of Dementia in MESA (Multi-Ethnic Study of Atherosclerosis)
Fujiyoshi, A., Jacobs, D. R., Fitzpatrick, A. L., Alonso, Á., Duprez, D. A., Sharrett, A. R., Seeman, T. E., Blaha, M. J., Luchsinger, J. A., & Rapp, S. R. (2017) · Circulation Cardiovascular Imaging · doi:10.1161/circimaging.116.005349 · Cited by 73
Gill, S. J., Friedenreich, C. M., Sajobi, T. T., Longman, R. S., Drogos, L. L., Davenport, M. H., Tyndall, A. V., Eskes, G. A., Hogan, D. B., Hill, M. D., et al. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000880 · Cited by 74
Ward, M. E., Gelfand, J. M., Lui, L., Ou, Y., Green, A., Stone, K. L., Pedula, K. L., Cummings, S. R., & Yaffe, K. S. (2018) · Annals of Neurology · doi:10.1002/ana.25196 · Cited by 71
Self-citationShang, X., Hill, E., Zhu, Z., Liu, J., Ge, Z., Wang, W., & He, M. (2021) · Hypertension · doi:10.1161/hypertensionaha.121.17608 · Cited by 70
Age‐Dependent Association Between Modifiable Risk Factors and Incident Cardiovascular Disease
Kaneko, H., Yano, Y., Okada, A., Itoh, H., Suzuki, Y., Yokota, I., Morita, K., Fujiu, K., Michihata, N., Jo, T., et al. (2023) · Journal of the American Heart Association · doi:10.1161/jaha.122.027684 · Cited by 69
Schaich, C. L., Malaver, D., Chen, H., Shaltout, H. A., Hazzouri, A. Z. A., Herrington, D. M., & Hughes, T. M. (2020) · Journal of the American Heart Association · doi:10.1161/jaha.119.013827 · Cited by 70
Association Between Atrial Fibrillation and Dementia: A Meta-Analysis
Islam, M. M., Poly, T. N., Walther, B. A., Yang, H., Wu, C., Lin, M., Chien, S.-C., & Li, Y. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00305 · Cited by 64
Norling, A. M., Gerstenecker, A. T., Buford, T. W., Khan, B., Oparil, S., & Lazar, R. M. (2019) · GeroScience · doi:10.1007/s11357-019-00139-2 · Cited by 58
Blood Pressure and Vascular Cognitive Impairment
Levine, D. A., Springer, M. V., & Brodtmann, A. G. (2022) · Stroke · doi:10.1161/strokeaha.121.036140 · Cited by 63
Ultrasound Markers of Carotid Atherosclerosis and Cognition
Gardener, H. E., Caunca, M. R., Dong, C., Cheung, Y. K., Elkind, M. S. V., Sacco, R. L., Rundek, T., & Wright, C. B. (2017) · Stroke · doi:10.1161/strokeaha.117.016921 · Cited by 57
Effects of Blood Pressure on Cognitive Performance in Aging: A Systematic Review
Forte, G., & Casagrande, M. (2020) · Brain Sciences · doi:10.3390/brainsci10120919 · Cited by 58
Apóstolo, J., Holland, C., O’Connell, M. D. L., Feeney, J. C., Tabarés‐Seisdedos, R., Tadros, G., Campos, E. B., Santos, N. C., Robertson, D. A., Marcucci, M., et al. (2015) · Maturitas · doi:10.1016/j.maturitas.2015.10.008 · Cited by 58
Triglycerides are negatively correlated with cognitive function in nondemented aging adults.
Parthasarathy, V., Frazier, D. T., Bettcher, B. M., Jastrzab, L. E., Chao, L. L., Reed, B., Mungas, D., Weiner, M. W., DeCarli, C. S., Chui, H. C., et al. (2017) · Neuropsychology · doi:10.1037/neu0000335 · Cited by 57
Hakala, J. O., Pahkala, K., Juonala, M., Salo, P., Kähönen, M. A. P., Hutri‐Kähönen, N., Lehtimäki, T. J., Laitinen, T. P., Jokinen, E. V., Taittonen, L. M., et al. (2021) · Circulation · doi:10.1161/circulationaha.120.052358 · Cited by 59
Kats, D., Patel, M. D., Palta, P., Meyer, M. L., Gross, A. L., Whitsel, E. A., Knopman, D. S., Alonso, Á., Mosley, T. H., & HEISS, G. M. (2016) · Age and Ageing · doi:10.1093/ageing/afw060 · Cited by 54
Hazzouri, A. Z. A., Elfassy, T., Carnethon, M. R., Lloyd‐Jones, D. M., & Yaffe, K. S. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpx125 · Cited by 54
Self-citationBlood Pressure and Cognitive Function in Children and Adolescents
Lande, M. B., & Kupferman, J. C. (2019) · Hypertension · doi:10.1161/hypertensionaha.118.11686 · Cited by 54
Monnier, A., Prigent‐Tessier, A., Quirié, A., Bertrand, N., Savary, S., Gondcaille, C., Garnier, P. E., Demougeot, C., & Marie, C. (2016) · Acta Physiologica · doi:10.1111/apha.12743 · Cited by 53
Association of Midlife Cardiovascular Risk Profiles With Cerebral Perfusion at Older Ages
Suri, S., Topiwala, A., Chappell, M. A., Okell, T. W., Zsoldos, E., Singh‐Manoux, A., Mika Kivimaki, B., Mackay, C. E., & Ebmeier, K. P. (2019) · JAMA Network Open · doi:10.1001/jamanetworkopen.2019.5776 · Cited by 53
Association Between Hypertension, Menopause, and Cognition in Women
Zilberman, J. M., Cerezo, G. H., Sueldo, M. D., Fernández, C., Martell‐Claros, N., & Vicario, A. (2015) · Journal of Clinical Hypertension · doi:10.1111/jch.12643 · Cited by 59
Impact of Worsened Metabolic Syndrome on the Risk of Dementia: A Nationwide Cohort Study
Fan, Y., Chou, C., You, S., Sun, C., Chen, C., & Bai, C. (2017) · Journal of the American Heart Association · doi:10.1161/jaha.116.004749 · Cited by 52
Hypertension and Dementia: A comprehensive review from the HOPE Asia Network
Turana, Y., Tengkawan, J., Chia, Y. C., Hoshide, S., Shin, J., Chen, C., Buranakitjaroen, P., Nailes, J. M., Park, S., Siddique, S., et al. (2019) · Journal of Clinical Hypertension · doi:10.1111/jch.13558 · Cited by 51
Risk Factors, Lifestyle Behaviors, and Vascular Brain Health
Gottesman, R. F., & Seshadri, S. S. (2022) · Stroke · doi:10.1161/strokeaha.121.032610 · Cited by 53
Huo, N., Vemuri, P., Graff-Radford, J., Syrjanen, J., Machulda, M. M., Knopman, D. S., Jack, C. R., Petersen, R. C., & Mielke, M. M. (2022) · Neurology · doi:10.1212/wnl.0000000000013174 · Cited by 54
Stewart, R., Held, C., Krug‐Gourley, S., Waterworth, D. M., Stebbins, A. S., Chiswell, K., Hagström, E., Armstrong, P. W., Wallentin, L. C., & White, H. D. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.118.010641 · Cited by 48
Exercise during early pregnancy is associated with greater sleep continuity
Baker, J. H., Rothenberger, S. D., Kline, C. E., & Okun, M. L. (2016) · Behavioral Sleep Medicine · doi:10.1080/15402002.2016.1228649 · Cited by 49
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Gorelick, P. B. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14113 · Cited by 49
Auer, R., Sidney, S., Goff, D. C., Vittinghoff, E., Pletcher, M. J., Allen, N. B., Reis, J. P., Lewis, C. E., Carr, J. J., & Rana, J. S. (2017) · Addiction · doi:10.1111/add.14110 · Cited by 49
Self-citationDementia and Atrial Fibrillation: Pathophysiological Mechanisms and Therapeutic Implications
Chopard, R., Piazza, G., Gale, S. A., Campia, U., Albertsen, I. E., Kim, J., & Goldhaber, S. Z. (2018) · The American Journal of Medicine · doi:10.1016/j.amjmed.2018.06.035 · Cited by 50
Self-Efficacy Buffers the Relationship between Educational Disadvantage and Executive Functioning
Zahodne, L. B., Nowinski, C. J., Gershon, R. C., & Manly, J. J. (2015) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617715000193 · Cited by 45
Modeling Metabolic Syndrome and Its Association with Cognition: The Northern Manhattan Study
Levin, B., Llabre, M., Dong, C., Elkind, M., Stern, Y., Rundek, T., Sacco, R., & Wright, C. (2014) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617714000861 · Cited by 45
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Grammas, P., & Martinez, J. M. (2014) · Journal of Alzheimer s Disease · doi:10.3233/jad-141557 · Cited by 42
Top 10 cardiovascular therapies and interventions for the next decade
Fuster, V. (2014) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2014.137 · Cited by 45
Heart Failure and Cognitive Impairment in the Atherosclerosis Risk in Communities (ARIC) Study
Witt, L. S., Rotter, J., Stearns, S. C., Gottesman, R. F., Kucharska‐Newton, A., Sharrett, A. R., Wruck, L. M., Bressler, J., Sueta, C. A., & Chang, P. P. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-018-4556-x · Cited by 44
Prevention of cognitive impairment with intensive systolic blood pressure control
Yaffe, K. (2019) · JAMA · doi:10.1001/jama.2019.0008 · Cited by 43
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Gardener, H. E., Caunca, M. R., Dong, C., Cheung, Y. K., Alperin, N. J., Rundek, T., Elkind, M. S. V., Wright, C. B., & Sacco, R. L. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009544 · Cited by 43
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Suvila, K., Lima, J. A. C., Yano, Y., Tan, Z. S., Cheng, S. C., & Niiranen, T. (2021) · Hypertension · doi:10.1161/hypertensionaha.120.16556 · Cited by 42
Müller, J., Chan, K., & MYERS, J. N. (2017) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2016.10.020 · Cited by 41
Ryan, C. M., Klein, R., Lee, K. E., Cruickshanks, K. J., & Klein, R. (2016) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2016.08.010 · Cited by 40
Ding, L., Zhu, X., Xiong, Z., Yang, F., & Zhang, X. (2022) · Journal of General Internal Medicine · doi:10.1007/s11606-022-07951-1 · Cited by 41
Lamar, M., Durazo-Arvizú, R., Sachdeva, S., Pirzada, A., Perreira, K. M., Rundek, T., Gallo, L. C., Grober, E. H., DeCarli, C. S., Lipton, R. B., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0215378 · Cited by 39
Cardiovascular risk and white matter lesions after endocrine control of Cushing's syndrome
Vives, A. S., Resmini, E., Gómez‐Ansón, B., Crespo, I., Granell, E., Valassi, E., Pires, P., Vives‐Gilabert, Y., Martínez-Momblán, M.-A., de Juan-Delago, M., et al. (2015) · European Journal of Endocrinology · doi:10.1530/eje-15-0600 · Cited by 38
Dai, H., Hu, W.-Y., Jiang, L.-H., Li, L., Gaung, X., & Xiao, Z. (2016) · Scientific Reports · doi:10.1038/srep27600 · Cited by 38
Target Organ Abnormalities in Pediatric Hypertension
Urbina, E. M., Lande, M. B., Hooper, S. R., & Daniels, S. R. (2018) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2018.07.026 · Cited by 39
Pang, K., Liu, C., Tong, J., Ouyang, W., Hu, S., & Tang, Y. (2022) · Nutrients · doi:10.3390/nu14194198 · Cited by 36
Blanken, A. E., & Nation, D. A. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200245 · Cited by 37
Body mass index in early adulthood and dementia in late life: Findings from a pooled cohort
Hazzouri, A. Z. A., Vittinghoff, E., Hoang, T. D. M., Golden, S. H., Fitzpatrick, A. L., Zhang, A., Grasset, L., & Yaffe, K. S. (2021) · Alzheimer s & Dementia · doi:10.1002/alz.12367 · Cited by 36
Self-citationShi, H., Cui, L., Hui, Y., Wu, S., Li, X., Shu, R., Song, H., Wang, J., Yu, P., Chen, S., et al. (2023) · Hypertension · doi:10.1161/hypertensionaha.123.21453 · Cited by 36
Brain BDNF levels are dependent on cerebrovascular endothelium‐derived nitric oxide
Banoujaafar, H., Monnier, A., Pernet, N., Quirié, A., Garnier, P. E., Prigent‐Tessier, A., & Marie, C. (2016) · European Journal of Neuroscience · doi:10.1111/ejn.13301 · Cited by 35
Tarraf, W., Rodríguez, C. J., Daviglus, M. L., Lamar, M., Schneiderman, N., Gallo, L. C., Talavera, G. A., Kaplan, R. C., Fornage, M., Conceicao, A. S., et al. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170017 · Cited by 35
Oken, B., Kaplan, J., Klee, D., & Gallegos, A. M. (2024) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2024.1380002 · Cited by 39
Metadata
- Authors
- Yaffe, K., Vittinghoff, E., Pletcher, M. J., Hoang, T. D., Launer, L. J., Whitmer, R. A., Coker, L. H., & Sidney, S.
- Affiliations
- National Institutes of Health (US)
- ORCID
- Venue
- Circulation
- Published
- 2014-04-15
- Volume
- 129
- Issue
- 15
- Pages
- 1560-1567
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- PMC
- PMC4700881
- OpenAlex
- W2052534047
- Cited by
- 308
- References
- 55
- Citations by year
- 2026: 14 · 2025: 23 · 2024: 23 · 2023: 22 · 2022: 33 · 2021: 32 · 2020: 27 · 2019: 34 · 2018: 16 · 2017: 28 · 2016: 28 · 2015: 18 · 2014: 9
- FWCI
- 21.11
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Circulation (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institutes of Health
- National Institute on Aging (AG 0005, Z01AG007380)
- National Heart, Lung, and Blood Institute (HHSN268201300028C, HHS-N2-68201300029C, HHSN268201300027C, HHSN268200900041C, HHSN268201300026C, HHS-N2-68201300025C)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- cardiovascular risk factors, cognitive function, cumulative exposure, early adulthood, midlife, blood pressure, fasting blood glucose, total cholesterol, area under the curve, executive function, memory
- MeSH terms
- Adolescent, Adult, Blood Glucose, Blood Pressure, Cardiovascular Diseases, Cholesterol, Cognition, Cognition Disorders, Female, Follow-Up Studies, Heart Failure, Humans, Hypertension, Male, Middle Aged, Myocardial Infarction, Neuropsychological Tests, Predictive Value of Tests, Prospective Studies, Risk Factors, Age Distribution, Stroke, Young Adult, Peripheral Arterial Disease
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