The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
The Relationship Between Visit-to-Visit Variability in Systolic Blood Pressure and All-Cause Mortality in the General Population: Findings From NHANES III, 1988 to 1994
Open accessAbstract
Recent data suggest that visit-to-visit variability of blood pressure is associated with stroke incidence. Correlates of increased visit-to-visit variability in blood pressure and the relationship between variability and all-cause mortality were examined using data on US adults ≥20 years of age from the Third National Health and Nutrition Examination Survey (n=956). Three consecutive blood pressure readings were taken during 3 separate study visits from 1988 to 1994. Based on the mean of the second and third measurements from each visit, visit-to-visit blood pressure variability for each participant was defined using the standard deviation and coefficient of variation across visits. Mortality was assessed through December 31, 2006 (median follow-up=14 years; n=240 deaths). The mean of the standard deviation for systolic blood pressure across visits was 7.7 mm Hg. After multivariable adjustment, older age, female gender, history of myocardial infarction, higher mean systolic blood pressure and pulse pressure, and use of angiotensin converting enzyme inhibitors were associated with higher standard deviation in systolic blood pressure. The multivariable adjusted hazard ratios for all-cause mortality associated with a standard deviation of systolic blood pressure of 4.80 to 8.34 mm Hg and ≥8.35 mm Hg, versus <4.80 mm Hg, were 1.57 (95% CI, 1.07 to 2.18) and 1.50 (95% CI, 1.03 to 2.18), respectively. Results were similar when coefficient of variation for systolic blood pressure was evaluated. Visit-to-visit variability for diastolic blood pressure was not associated with mortality. In this population-based study of US adults, higher levels of short-term visit-to-visit variability in systolic blood pressure were associated with increased all-cause mortality.
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Cites
A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
(2013) · European Heart Journal · doi:10.1093/eurheartj/eht151 · Cited by 13,655
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
Self-citationMancia, G., De Backer, G., Dominiczak, A., Cifkova, R., Fagard, R., Germano, G., Grassi, G., Heagerty, A. M., Kjeldsen, S. E., Laurent, S., et al. (2007) · Journal of Hypertension · doi:10.1097/hjh.0b013e3281fc975a · Cited by 5,824
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005) · Circulation · doi:10.1161/01.cir.0000154900.76284.f6 · Cited by 3,985
Pickering, T. G., Hall, J. E., Appel, L. J., Falkner, B. E., Graves, J., Hill, M. N., Jones, D. W., Kurtz, T., Sheps, S. G., & Roccella, E. J. (2005) · Hypertension · doi:10.1161/01.hyp.0000150859.47929.8e · Cited by 2,051
Rothwell, P. M., Howard, S. C., Dolan, E., O'Brien, E., Dobson, J. E., Dahlöf, B., Sever, P. S., & Poulter, N. R. (2010) · The Lancet · doi:10.1016/s0140-6736(10)60308-x · Cited by 1,784
Mitchell, G. F., Parise, H., Benjamin, E. J., Larson, M. G., Keyes, M. J., Vita, J. A., Vasan, R. S., & Levy, D. (2004) · Hypertension · doi:10.1161/01.hyp.0000128420.01881.aa · Cited by 1,501
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The 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
Measurement of Blood Pressure in Humans: A Scientific Statement From the American Heart Association
Muntner, P., Shimbo, D., Carey, R. M., Charleston, J. B., Gaillard, T., Misra, S., Myers, M. G., Ogedegbe, G., Schwartz, J. E., Townsend, R. R., et al. (2019) · Hypertension · doi:10.1161/hyp.0000000000000087 · Cited by 1,512
Self-citationAssessment and management of blood-pressure variability
Parati, G., Ochoa, J. E., Lombardi, C., & Bilo, G. (2013) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2013.1 · Cited by 853
Muntner, P., Whittle, J., Lynch, A. I., Colantonio, L. D., Simpson, L. M., Einhorn, P. T., Levitan, E. B., Whelton, P. K., Cushman, W. C., Louis, G. T., et al. (2015) · Annals of Internal Medicine · doi:10.7326/m14-2803 · Cited by 318
Self-citationGosmanova, E. O., Mikkelsen, M. K., Molnar, M. Z., Lu, J. L., Yessayan, L. T., Kalantar-Zadeh, K., & Kovesdy, C. P. (2016) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2016.06.054 · Cited by 293
Metadata
- Authors
- Muntner, P., Shimbo, D., Tonelli, M., Reynolds, K., Arnett, D. K., & Oparil, S.
- Venue
- Hypertension
- Published
- 2011-02
- Volume
- 57
- Issue
- 2
- Pages
- 160-166
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W2111662153
- Cited by
- 440
- References
- 30
- FWCI
- 28.92
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: The Relationship Between Visit-to-Visit Variability in Systolic Blood Pressure and All-Cause Mortality in the General Population: Findings From NHANES III, 1988 to 1994. https://app.cochat.ai/papers/10.1161/hypertensionaha.110.162255
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- Muntner, P., Shimbo, D., Tonelli, M., Reynolds, K., Arnett, D. K., & Oparil, S. (2011). The Relationship Between Visit-to-Visit Variability in Systolic Blood Pressure and All-Cause Mortality in the General Population: Findings From NHANES III, 1988 to 1994. Hypertension. https://doi.org/10.1161/hypertensionaha.110.162255
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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.
