The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Blood Pressure as a Cardiovascular Risk Factor: Prevention and Treatment
Abstract
OBJECTIVE: - To examine the prevalence, incidence, predisposing factors for hypertension, its hazards as an ingredient of the cardiovascular risk profile, and the implications of this information for prevention and treatment. METHODS: - Prospective longitudinal analysis of 36-year follow-up data from the Framingham Study of the relation of antecedent blood pressure to occurrence of subsequent cardiovascular morbidity and mortality depending on the metabolically linked burden of associated risk factors. RESULTS: - Hypertension is one of the most prevalent and powerful contributors to cardiovascular diseases, the leading cause of death in the United States. There is, on average, a 20 mm Hg systolic and 10 mm Hg diastolic increment increase in blood pressure from age 30 to 65 years. Isolated systolic hypertension is the dominant variety. There is no evidence of a decline in the prevalence of hypertension over 4 decades despite improvements in its detection and treatment. Hypertension contributes to all of the major atherosclerotic cardiovascular disease outcomes increasing risk, on average, 2- to 3-fold. Coronary disease, the most lethal and common sequela, deserves highest priority. Hypertension clusters with dyslipidemia, insulin resistance, glucose intolerance, and obesity, occurring in isolation in less than 20%. The hazard depends on the number of these associated metabolically linked risk factors present. Coexistent overt cardiovascular disease also influences the hazard and choice of therapy. CONCLUSION: - The absence of a decline in the prevalence of hypertension indicates an urgent need for primary prevention by weight control, exercise, and reduced salt and alcohol intake. The urgency and choice of therapy of existing hypertension should be based on the multivariate cardiovascular risk profile that more appropriately targets hypertensive persons for treatment and prevention of cardiovascular sequelae.
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
Cites
Levy, D., Garrison, R. J., Savage, D. D., Kannel, W. B., & Castelli, W. P. (1990) · New England Journal of Medicine · doi:10.1056/nejm199005313222203 · Cited by 5,699
Probability of stroke: a risk profile from the Framingham Study.
Wolf, P. A., D'Agostino, R. B., Belanger, A. J., & Kannel, W. B. (1991) · Stroke · doi:10.1161/01.str.22.3.312 · Cited by 1,782
Self-citationIncidence and precursors of hypertension in young adults: The Framingham offspring study
Garrison, R. J., Kannel, W. B., Stokes, J., & Castelli, W. P. (1987) · Preventive Medicine · doi:10.1016/0091-7435(87)90087-9 · Cited by 789
Self-citation
Cited by
Mancia, G., Fagard, R., Narkiewicz, K., Redón, J., Zanchetti, A., Böhm, M., Christiaens, T., Cifkova, R., De Backer, G., Dominiczak, A., et al. (2013) · Journal of Hypertension · doi:10.1097/01.hjh.0000431740.32696.cc · Cited by 5,655
Graham (2007) · doi:10.1097/01.hjr.0000277983.23934.c9 · Cited by 1,647
Effect of systolic and diastolic blood pressure on cardiovascular outcomes
Flint, A. C., Conell, C., Ren, X., Banki, N. M., Chan, S. L., Rao, V. A., Melles, R. B., & Bhatt, D. L. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1803180 · Cited by 684
Kostis, J. (2004) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2003.09.014 · Cited by 579
Nerenberg, K. A., Zarnke, K. B., Leung, A. A., Dasgupta, K., Butalia, S., McBrien, K., Harris, K. C., Nakhla, M., Cloutier, L., Gelfer, M., et al. (2018) · Canadian Journal of Cardiology · doi:10.1016/j.cjca.2018.02.022 · Cited by 573
van den Hoogen, P. C. W., Feskens, E. J. M., Nagelkerke, N. J. D., Menotti, A., Nissinen, A., & Kromhout, D. (2000) · New England Journal of Medicine · doi:10.1056/nejm200001063420101 · Cited by 552
Loneliness is a unique predictor of age-related differences in systolic blood pressure.
Hawkley, L. C., Masi, C. M., Berry, J. D., & Cacioppo, J. T. (2006) · Psychology and Aging · doi:10.1037/0882-7974.21.1.152 · Cited by 488
The metabolic syndrome: requiescat in pace
Reaven, G. M. (2005) · Clinical Chemistry · doi:10.1373/clinchem.2005.048611 · Cited by 427
Validation of a case definition to define hypertension using administrative data
Quan, H., Khan, N., Hemmelgarn, B. R., Tu, K., Chen, G., Campbell, N., Hill, M. D., Ghali, W. A., & McAlister, F. A. (2009) · Hypertension · doi:10.1161/hypertensionaha.109.139279 · Cited by 350
Taylor, B., Irving, H. M., Baliunas, D., Roerecke, M., Patra, J., Mohapatra, S., & Rehm, J. (2009) · Addiction · doi:10.1111/j.1360-0443.2009.02694.x · Cited by 346
Haas, D. C., Foster, G. L., Nieto, F. J., Redline, S., Resnick, H. E., Robbins, J. A., Young, T., & Pickering, T. G. (2005) · Circulation · doi:10.1161/01.cir.0000154540.62381.cf · Cited by 343
Luo, D., Cheng, Y., Zhang, H., Ba, M., Chen, P., Li, H., Chen, K., Sha, W., Zhang, C., & Chen, H. (2020) · BMJ · doi:10.1136/bmj.m3222 · Cited by 234
Circadian variation in stroke onset: identical temporal pattern in ischemic and hemorrhagic events
Manfredini, R., Boari, B., Smolensky, M. H., Salmi, R., la Cecilia, O., Maria Malagoni, A., Haus, E., & Manfredini, F. (2005) · Chronobiology International · doi:10.1081/cbi-200062927 · Cited by 197
Desroches, S., Lapointe, A., Ratté, S., Gravel, K., Légaré, F., & Turcotte, S. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008722.pub2 · Cited by 187
Gangwisch, J. E., Malaspina, D., Posner, K., Babiss, L. A., Heymsfield, S. B., Turner, J. B., Zammit, G. K., & Pickering, T. G. (2010) · American Journal of Hypertension · doi:10.1038/ajh.2009.202 · Cited by 168
Su, T.-C., Jeng, J.-S., Chien, K.-L., Sung, F.-C., Hsu, H.-C., & Lee, Y.-T. (2001) · Stroke · doi:10.1161/str.32.10.2265 · Cited by 158
Huang, W.-Y., Davidge, S. T., & Wu, J. (2013) · Critical Reviews in Food Science and Nutrition · doi:10.1080/10408398.2010.550071 · Cited by 157
Blood pressure targets for hypertension in people with diabetes mellitus
Arguedas, J. A., Leiva, V., & Wright, J. M. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd008277.pub2 · Cited by 151
Tamhane, S., Rodriguez-Gutierrez, R., Iqbal, A. M., Prokop, L. J., Bancos, I., Speiser, P. W., & Murad, M. H. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01862 · Cited by 123
C-Reactive Protein: Clinical and Epidemiological Perspectives
Salazar, J., Martínez, M. S., Chávez, M., Toledo, A., Añez, R., Torres, Y., Apruzzese, V., Silva, C., Rojas, J., & Bermúdez, V. (2014) · Cardiology Research and Practice · doi:10.1155/2014/605810 · Cited by 117
Lee, K. W., Loh, H. C., Ching, S. M., Devaraj, N. K., & Hoo, F. K. (2020) · Nutrients · doi:10.3390/nu12061604 · Cited by 105
De Venecia, T., Lu, M., & Figueredo, V. M. (2016) · Postgraduate Medicine · doi:10.1080/00325481.2016.1147927 · Cited by 106
Vranish, J. R., Holwerda, S. W., Young, B. E., Credeur, D. P., Patik, J. C., Barbosa, T. C., Keller, D. M., & Fadel, P. J. (2018) · Hypertension · doi:10.1161/hypertensionaha.117.10229 · Cited by 98
Sleep Apnea, Hypertension, and the Effects of Continuous Positive Airway Pressure
DHILLON, S., CHUNG, S., FARGHER, T., HUTERER, N., & SHAPIRO, C. (2005) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2004.11.031 · Cited by 74
Barriers to and facilitators of hypertension management in Asmara, Eritrea: patients’ perspectives
Gebrezgi, M. T., Trepka, M. J., & Kidane, E. A. (2017) · Journal of Health, Population and Nutrition · doi:10.1186/s41043-017-0090-4 · Cited by 56
Psychologic factors as precursors to hypertension
Markovitz, J. H., Jonas, B. S., & Davidson, K. (2001) · Current Hypertension Reports · doi:10.1007/s11906-001-0074-y · Cited by 54
Screening for Adrenal-Endocrine Hypertension: Overview of Accuracy and Cost-effectiveness
Schwartz, G. L. (2011) · Endocrinology and Metabolism Clinics of North America · doi:10.1016/j.ecl.2011.02.001 · Cited by 36
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
Stevanović, J., O’Prinsen, A. C., Verheggen, B. G., Schuiling-Veninga, N., Postma, M. J., & Pechlivanoglou, P. (2014) · Clinical Therapeutics · doi:10.1016/j.clinthera.2014.01.008 · Cited by 12
Metadata
- Authors
- Kannel, W. B.
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 1996-05-22
- Volume
- 275
- Issue
- 20
- Pages
- 1571
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2052776501
- Cited by
- 1,230
- References
- 3
- FWCI
- 17.64
- 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.