The DOI matches its Crossref record.
THE ATHEROSCLEROSIS RISK IN COMMUNIT (ARIC) STUDY: DESIGN AND OBJECTIVES
Abstract
Atherosclerosis Risk in Communities (ARIC) is a new prospective study to investigate the etiology of atherosclerosis and its clinical sequelae and variation in cardiovascular risk factors, medical care, and disease by race, sex, place, and time. in each of four US communities—Forsyth County, North Carolina, Jackson, Mississippi, suburbs of Minneapolis, Minnesota, and Washington County, Maryland—4, 000 adults aged 45–64 years will be examined twice, three years apart. ARIC has coordinating, ultrasound, pulmonary, and electrocardiographic centers and three central laboratories. Three cohorts represent the ethnic mix of their communities; the Jackson cohort, its black population. Examinations include ultrasound scanning of carotid and popliteal arteries; lipids, lipoprotelns, and apolipoproteins assayed in the Lipid Laboratory; and coagulation, inhibition, and platelet and fibrinolytic actmty assayed in the Hemostasis Laboratory. Surveil lance for coronary heart disease will involve review of hospitalizations and deaths among community residents aged 35–74 years. ARIC aims to study atheroscle rosis by direct observation of the disease and by use of modem biochemistry.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Items 101–170 of 170
Bidulescu, A., Chambless, L. E., Siega-Riz, A. M., Zeisel, S. H., & Heiss, G. (2007) · BMC Cardiovascular Disorders · doi:10.1186/1471-2261-7-20 · Cited by 153
Midlife systemic inflammatory markers are associated with late-life brain volume: The ARIC study
Walker, K. A., Hoogeveen, R. C., Folsom, A. R., Ballantyne, C. M., Knopman, D. S., Windham, B. G., Jack, C. R., & Gottesman, R. F. (2017) · Neurology · doi:10.1212/wnl.0000000000004688 · Cited by 150
Biomarker-based risk prediction of incident heart failure in pre-diabetes and diabetes
Pandey, A., Vaduganathan, M., Patel, K. V., Ayers, C., Ballantyne, C. M., Kosiborod, M. N., Carnethon, M., DeFilippi, C., McGuire, D. K., Khan, S. S., et al. (2021) · JACC: Heart Failure · doi:10.1016/j.jchf.2020.10.013 · Cited by 144
APOE genotype and cognitive decline in a middle-aged cohort
Blair, C. K., Folsom, A. R., Knopman, D. S., Bray, M. S., Mosley, T. H., & Boerwinkle, E. (2005) · Neurology · doi:10.1212/01.wnl.0000149643.91367.8a · Cited by 143
Houston, D. K., Stevens, J., Cai, J., & Haines, P. S. (2005) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn.81.2.515 · Cited by 135
Relationship of Cigarette Smoking and Time of Quitting with Incident Dementia and Cognitive Decline
Deal, J. A., Power, M. C., Palta, P., Alonso, A., Schneider, A. L. C., Perryman, K., Bandeen‐Roche, K., & Sharrett, A. R. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16228 · Cited by 134
Liao, D., Heiss, G., Chinchilli, V. M., Duan, Y., Folsom, A. R., Lin, H.-M., & Salomaa, V. (2005) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/sj.jea.7500408 · Cited by 129
Emerging comorbidities in adult asthma: risks, clinical associations, and mechanisms
Kankaanranta, H., Kauppi, P., Tuomisto, L. E., & Ilmarinen, P. (2016) · Mediators of Inflammation · doi:10.1155/2016/3690628 · Cited by 122
Age-Related Macular Degeneration and Risk of Coronary Heart Disease
Wong, T. Y., Tikellis, G., Sun, C., Klein, R., Couper, D. J., & Sharrett, A. R. (2007) · Ophthalmology · doi:10.1016/j.ophtha.2006.06.039 · Cited by 123
Lee, A. K., Lee, C. J., Huang, E. S., Sharrett, A. R., Coresh, J., & Selvin, E. (2017) · Diabetes Care · doi:10.2337/dc17-0819 · Cited by 119
Risk factors for lacune subtypes in the Atherosclerosis Risk in Communities (ARIC) Study
Bezerra, D. C., Sharrett, A. R., Matsushita, K., Gottesman, R. F., Shibata, D., Mosley, T. H., Coresh, J., Szklo, M., Carvalho, M. S., & Selvin, E. (2012) · Neurology · doi:10.1212/wnl.0b013e31823efc42 · Cited by 114
Lee, A. K., Rawlings, A. M., Lee, C. J., Gross, A. L., Huang, E. S., Sharrett, A. R., Coresh, J., & Selvin, E. (2018) · Diabetologia · doi:10.1007/s00125-018-4668-1 · Cited by 115
Association of Serum Lipids and Coronary Heart Disease in Contemporary Observational Studies
Colantonio, L. D., Bittner, V., Reynolds, K., Levitan, E. B., Rosenson, R. S., Banach, M., Kent, S. T., Derose, S. F., Zhou, H., Safford, M. M., et al. (2016) · Circulation · doi:10.1161/circulationaha.115.011646 · Cited by 105
Association 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
Schneider, A. L. C., Kalyani, R. R., Golden, S., Stearns, S. C., Wruck, L., Yeh, H. C., Coresh, J., & Selvin, E. (2016) · Diabetes Care · doi:10.2337/dc15-1335 · Cited by 102
Genetic Variants in SGLT1, Glucose Tolerance, and Cardiometabolic Risk
Seidelmann, S. B., Feofanova, E., Yu, B., Franceschini, N., Claggett, B., Kuokkanen, M., Puolijoki, H., Ebeling, T., Perola, M., Salomaa, V., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.07.061 · Cited by 97
Williams, S. A., Ostroff, R., Hinterberg, M. A., Coresh, J., Ballantyne, C. M., Matsushita, K., Mueller, C. E., Walter, J., Jonasson, C., Holman, R. R., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abj9625 · Cited by 97
McVeigh, G. E., Morgan, D. J., Finkelstein, S. M., Lemay, L. A., & Cohn, J. N. (1997) · The American Journal of Medicine · doi:10.1016/s0002-9343(96)00454-8 · Cited by 95
Pazin-Filho, A., Kottgen, A., Bertoni, A. G., Russell, S. D., Selvin, E., Rosamond, W. D., & Coresh, J. (2008) · Diabetologia · doi:10.1007/s00125-008-1164-z · Cited by 92
Nettleton, J. A., Hivert, M.-F., Lemaitre, R. N., McKeown, N. M., Mozaffarian, D., Tanaka, T., Wojczynski, M. K., Hruby, A., Djoussé, L., Ngwa, J. S., et al. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws297 · Cited by 89
Bose, M., Wu, C., Pankow, J. S., Demerath, E. W., Bressler, J., Fornage, M., Grove, M. L., Mosley, T. H., Hicks, C., North, K., et al. (2014) · BMC Bioinformatics · doi:10.1186/1471-2105-15-312 · Cited by 86
Haring, B., Gronroos, N., Nettleton, J. A., Wyler von Ballmoos, M. C., Selvin, E., & Alonso, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0109552 · Cited by 82
Zhuo, X., Zhang, P., Gregg, E. W., Barker, L., Hoerger, T. J., Pearson-Clarke, T., & Albright, A. (2012) · Health Affairs · doi:10.1377/hlthaff.2011.1115 · Cited by 82
Sims, M., Diez Roux, A. V., Boykin, S., Sarpong, D., Gebreab, S. Y., Wyatt, S. B., Hickson, D., Payton, M., Ekunwe, L., & Taylor, H. A. (2011) · Annals of Epidemiology · doi:10.1016/j.annepidem.2011.05.006 · Cited by 81
Agarwal, S. K., Heiss, G., Rautaharju, P. M., Shahar, E., Massing, M. W., & Simpson, R. J. (2010) · Stroke · doi:10.1161/strokeaha.109.567800 · Cited by 80
Head injury and 25‐year risk of dementia
Schneider, A. L. C., Selvin, E., Latour, L., Turtzo, L. C., Coresh, J., Mosley, T., Ling, G., & Gottesman, R. F. (2021) · Alzheimer's & Dementia · doi:10.1002/alz.12315 · Cited by 80
Selvin, E., Wang, D., Matsushita, K., Grams, M. E., & Coresh, J. (2018) · Annals of Internal Medicine · doi:10.7326/m18-0091 · Cited by 73
Diabetes and the risk of sudden cardiac death, the Atherosclerosis Risk in Communities study
Kucharska-Newton, A. M., Couper, D. J., Pankow, J. S., Prineas, R. J., Rea, T. D., Sotoodehnia, N., Chakravarti, A., Folsom, A. R., Siscovick, D. S., & Rosamond, W. D. (2010) · Acta Diabetologica · doi:10.1007/s00592-009-0157-9 · Cited by 73
Brautbar, A., Pompeii, L. A., Dehghan, A., Ngwa, J. S., Nambi, V., Virani, S. S., Rivadeneira, F., Uitterlinden, A. G., Hofman, A., Witteman, J. C. M., et al. (2012) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2012.05.035 · Cited by 71
Filion, K. B., Agarwal, S. K., Ballantyne, C. M., Eberg, M., Hoogeveen, R. C., Huxley, R. R., Loehr, L. R., Nambi, V., Soliman, E. Z., & Alonso, A. (2015) · American Heart Journal · doi:10.1016/j.ahj.2014.10.005 · Cited by 73
DiCorpo, D., LeClair, J., Cole, J. B., Sarnowski, C., Ahmadizar, F., Bielak, L. F., Blokstra, A., Bottinger, E. P., Chaker, L., Chen, Y.-D. I., et al. (2022) · Diabetes Care · doi:10.2337/dc21-1395 · Cited by 66
Runchey, S. S., Folsom, A. R., Tsai, M. Y., Cushman, M., & McGovern, P. D. (2002) · British Journal of Haematology · doi:10.1046/j.1365-2141.2002.03949.x · Cited by 72
Lindbohm, J. V., Mars, N., Walker, K. A., Singh‐Manoux, A., Livingston, G., Brunner, E. J., Sipilä, P. N., Saksela, K., Ferrie, J. E., Lovering, R. C., et al. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12419 · Cited by 70
Hemoglobin, Anemia, and Cognitive Function: The Atherosclerosis Risk in Communities Study
Schneider, A. L. C., Jonassaint, C., Sharrett, A. R., Mosley, T. H., Astor, B. C., Selvin, E., Coresh, J., & Gottesman, R. F. (2016) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glv158 · Cited by 67
Folsom, A. R., Peacock, J. M., Demerath, E., & Boerwinkle, E. (2008) · Metabolism · doi:10.1016/j.metabol.2008.06.016 · Cited by 64
Bidulescu, A., Chambless, L. E., Siega-Riz, A. M., Zeisel, S. H., & Heiss, G. (2009) · Nutrition Journal · doi:10.1186/1475-2891-8-14 · Cited by 62
Wattanakit, K., Williams, J. E., Schreiner, P. J., Hirsch, A. T., & Folsom, A. R. (2005) · Vascular Medicine · doi:10.1191/1358863x05vm622oa · Cited by 60
Six-Year Changes in Physical Activity and the Risk of Incident Heart Failure: ARIC Study
Florido, R., Kwak, L., Lazo, M., Nambi, V., Ahmed, H. M., Hegde, S. M., Gerstenblith, G., Blumenthal, R. S., Ballantyne, C. M., Selvin, E., et al. (2018) · Circulation · doi:10.1161/circulationaha.117.030226 · Cited by 56
Golden, S. H., Williams, J. E., Ford, D. E., Yeh, H.-C., Sanford, C. P., Nieto, F. J., & Brancati, F. L. (2006) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2005.08.008 · Cited by 55
Diabetes and Progression of Heart Failure
Echouffo-Tcheugui, J. B., Ndumele, C. E., Zhang, S., Florido, R., Matsushita, K., Coresh, J., Skali, H., Shah, A. M., & Selvin, E. (2022) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2022.03.378 · Cited by 54
Beydoun, M. A., Kaufman, J. S., Sloane, P. D., Heiss, G., & Ibrahim, J. (2008) · Public Health Nutrition · doi:10.1017/s1368980007000080 · Cited by 53
Taylor, H. A., Penman, A. D., Han, H., Dele-Michael, A., Skelton, T. N., Fox, E. R., Benjamin, E. J., Arnett, D. K., & Mosley, T. H. (2007) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2006.12.065 · Cited by 50
Hardy, D. S., Hoelscher, D. M., Aragaki, C., Stevens, J., Steffen, L. M., Pankow, J. S., & Boerwinkle, E. (2010) · Annals of Epidemiology · doi:10.1016/j.annepidem.2010.05.008 · Cited by 50
Fashanu, O. E., Norby, F. L., Aguilar, D., Ballantyne, C. M., Hoogeveen, R. C., Chen, L. Y., Soliman, E. Z., Alonso, A., & Folsom, A. R. (2017) · American Heart Journal · doi:10.1016/j.ahj.2017.07.001 · Cited by 50
Young, W. J., Lahrouchi, N., Isaacs, A., Duong, T., Foco, L., Ahmed, F., Brody, J. A., Salman, R., Noordam, R., Benjamins, J.-W., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-32821-z · Cited by 49
Wilkinson, L., Yi, N., Mehta, T., Judd, S., & Garvey, W. T. (2020) · PLOS Medicine · doi:10.1371/journal.pmed.1003232 · Cited by 47
Vanjiappan, S., Hamide, A., Ananthakrishnan, R., Periyasamy, S. G., & Mehalingam, V. (2018) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2018.01.001 · Cited by 45
Cade, B. E., Chen, H., Stilp, A. M., Louie, T., Ancoli-Israel, S., Arens, R., Barfield, R., Below, J. E., Cai, J., Conomos, M. P., et al. (2019) · PLOS Genetics · doi:10.1371/journal.pgen.1007739 · Cited by 39
Windham, B. G., Griswold, M. E., Shibata, D., Penman, A., Catellier, D. J., & Mosley, T. H. (2012) · Stroke · doi:10.1161/strokeaha.111.643379 · Cited by 41
Morris, D. W., Pearson, R. D., Cormican, P., Kenny, E. M., O'Dushlaine, C. T., Perreault, L.-P. L., Giannoulatou, E., Tropea, D., Maher, B. S., Wormley, B., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu025 · Cited by 42
Association of hospitalization with long-term cognitive and brain MRI changes in the ARIC cohort
Brown, C. H., Sharrett, A. R., Coresh, J., Schneider, A. L. C., Alonso, A., Knopman, D. S., Mosley, T. H., & Gottesman, R. F. (2015) · Neurology · doi:10.1212/wnl.0000000000001439 · Cited by 42
Almuwaqqat, Z., Jokhadar, M., Norby, F. L., Lutsey, P. L., O'Neal, W. T., Seyerle, A., Soliman, E. Z., Chen, L. Y., Bremner, J. D., Vaccarino, V., et al. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.012503 · Cited by 42
Suzuki, T., Agarwal, S. K., Deo, R., Sotoodehnia, N., Grams, M. E., Selvin, E., Calkins, H., Rosamond, W., Tomaselli, G., Coresh, J., et al. (2016) · American Heart Journal · doi:10.1016/j.ahj.2016.07.004 · Cited by 38
Patel, K. V., Segar, M. W., Klonoff, D. C., Khan, M. S., Usman, M. S., Lam, C. S. P., Verma, S., DeFilippis, A. P., Nasir, K., Bakker, S. J. L., et al. (2024) · Circulation · doi:10.1161/circulationaha.123.067530 · Cited by 38
Guo, F., & Garvey, W. T. (2017) · Diabetes Care · doi:10.2337/dc17-0088 · Cited by 37
Teramoto, K., Nadruz Junior, W., Matsushita, K., Claggett, B., John, J. E., Skali, H., Solomon, S., Cheng, S., & Shah, A. M. (2020) · Hypertension · doi:10.1161/hypertensionaha.120.14833 · Cited by 36
Cade, B. E., Lee, J., Sofer, T., Wang, H., Zhang, M., Chen, H., Gharib, S. A., Gottlieb, D. J., Guo, X., Lane, J. M., et al. (2021) · Genome Medicine · doi:10.1186/s13073-021-00917-8 · Cited by 33
Dietary antioxidant intake and cognitive performance in middle-aged adults
Peacock, J. M., Folsom, A. R., Knopman, D. S., Mosley, T. H., Goff, D. C., & Szklo, M. (2000) · Public Health Nutrition · doi:10.1017/s1368980000000380 · Cited by 33
Racial differences in and prognostic value of biomarkers of hyperglycemia
Parrinello, C. M., Sharrett, A. R., Maruthur, N. M., Bergenstal, R. M., Grams, M. E., Coresh, J., & Selvin, E. (2016) · Diabetes Care · doi:10.2337/dc15-1360 · Cited by 29
Seematter-Bagnoud, L., & Santos-Eggimann, B. (2006) · European Journal of Ageing · doi:10.1007/s10433-006-0022-4 · Cited by 26
Cuthbertson, C. C., Tan, X., Heiss, G., Kucharska‐Newton, A., Nichols, H. B., Kubota, Y., & Evenson, K. R. (2019) · Journal of the American Heart Association · doi:10.1161/jaha.119.012657 · Cited by 26
Personalised analytics for rare disease diagnostics
Anderson, D., Baynam, G., Blackwell, J. M., & Lassmann, T. (2019) · Nature Communications · doi:10.1038/s41467-019-13345-5 · Cited by 24
Structural variation across 138,134 samples in the TOPMed consortium
Jun, G., English, A., Metcalf, G., Yang, J., Chaisson, M., Pankratz, N., Menon, V., Salerno, W., Krasheninina, O., Smith, A., et al. (2023) · doi:10.21203/rs.3.rs-2515453/v1 · Cited by 24
Associations of Pulmonary Function with MRI Brain Volumes: A Coordinated Multi-Study Analysis
Frenzel, S., Bis, J. C., Gudmundsson, E. F., O’Donnell, A., Simino, J., Yaqub, A., Bartz, T. M., Brusselle, G. G. O., Bülow, R., DeCarli, C. S., et al. (2022) · Journal of Alzheimer's Disease · doi:10.3233/jad-220667 · Cited by 22
Association of hospitalization, critical illness, and infection with brain structure in older adults
Walker, K. A., Gottesman, R. F., Wu, A., Knopman, D. S., Mosley, T. H., Alonso, A., Kucharska‐Newton, A., & Brown, C. H. (2018) · Journal of the American Geriatrics Society · doi:10.1111/jgs.15470 · Cited by 20
Improving main analysis by borrowing information from auxiliary data
Chen, C., Han, P., & He, F. (2022) · Statistics in Medicine · doi:10.1002/sim.9252 · Cited by 18
Yang, Y., Bartz, T. M., Brown, M. R., Guo, X., Zilhão, N. R., Trompet, S., Weiss, S., Yao, J., Brody, J. A., Defilippi, C. R., et al. (2021) · Circulation: Genomic and Precision Medicine · doi:10.1161/circgen.121.003460 · Cited by 16
Loomis, S. J., Köttgen, A., Li, M., Tin, A., Coresh, J., Boerwinkle, E., Gibbs, R., Muzny, D., Pankow, J., Selvin, E., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-42202-0 · Cited by 12
N-acetylaspartate from fat cells regulates postprandial body temperature
Felix, J. B., Saha, P. K., de Groot, E. L., Tan, L., Sharp, R., Anaya, E. S., Li, Y., Quang, H., Saidi, N., Abushamat, L., et al. (2025) · Nature Metabolism · doi:10.1038/s42255-025-01334-6 · Cited by 6
Segar, M. W., Lambeth, K. D., Postalian, A., Coulter, S., Gilge, J., Razvi, N., Saeed, M., Paisley, R. D., Pandey, A., & Razavi, M. (2026) · European Heart Journal - Digital Health · doi:10.1093/ehjdh/ztag018 · Cited by 2
Metadata
- Authors
- THE ARIC INVESTIGATORS
- Venue
- American Journal of Epidemiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1989-04-01
- Volume
- 129
- Issue
- 4
- Pages
- 687-702
- ISSN
- 0002-9262 (ISSN-L)
- 1476-6256
- OpenAlex
- W4242416368
- Cited by
- 2,924
- References
- 0
- FWCI
- 11.20
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
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.
