The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Rethinking the Association of High Blood Pressure With Mortality in Elderly Adults: The Impact of Frailty
Open accessAbstract
BACKGROUND: The association of hypertension and mortality is attenuated in elderly adults. Walking speed, as a measure of frailty, may identify which elderly adults are most at risk for the adverse effects of hypertension. We hypothesized that elevated blood pressure (BP) would be associated with a greater risk of mortality in faster-, but not slower-, walking older adults. METHODS: Participants included 2340 persons 65 years and older in the National Health and Nutrition Examination Survey, 1999-2000 and 2001-2002. Mortality data were linked to death certificates in the National Death Index. Walking speed was measured over a 20-ft (6 m) walk and classified as faster (≥ 0.8 m/s [n = 1307]), slower (n = 790), or incomplete (n = 243). Potential confounders included age, sex, race, survey year, lifestyle and physiologic variables, health conditions, and antihypertensive medication use. RESULTS: Among the participants, there were 589 deaths through December 31, 2006. The association between BP and mortality varied by walking speed. Among faster walkers, those with elevated systolic BP (≥ 140 mm Hg) had a greater adjusted risk of mortality compared with those without (hazard ratio [HR], 1.35; 95% CI, 1.03-1.77). Among slower walkers, neither elevated systolic nor diastolic BP (≥ 90 mm Hg) was associated with mortality. In participants who did not complete the walk test, elevated BP was strongly and independently associated with a lower risk of death: HR, 0.38; 95% CI, 0.23-0.62 (systolic); and HR, 0.10; 95% CI, 0.01-0.81 (diastolic). CONCLUSIONS: Walking speed could be a simple measure to identify elderly adults who are most at risk for adverse outcomes related to high BP.
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
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Frailty in Older Adults: Evidence for a Phenotype
Fried, L. P., Tangen, C. M., Walston, J., Newman, A. B., Hirsch, C., Gottdiener, J., Seeman, T., Tracy, R., Kop, W. J., Burke, G., et al. (2001) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/56.3.m146 · Cited by 24,907
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
Gait speed and survival in older adults.
Studenski, S. (2011) · JAMA · doi:10.1001/jama.2010.1923 · Cited by 4,558
Treatment of hypertension in patients 80 years of age or older
Beckett, N. S., Peters, R., Fletcher, A. E., Staessen, J. A., Liu, L., Dumitrascu, D., Stoyanovsky, V., Antikainen, R. L., Nikitin, Y., Anderson, C., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0801369 · Cited by 3,092
Hemodynamic Patterns of Age-Related Changes in Blood Pressure: The Framingham Heart Study
Franklin, S. S., Gustin, W., Wong, N. D., Larson, M. G., Weber, M. A., Kannel, W. B., & Levy, D. (1997) · Circulation · doi:10.1161/01.cir.96.1.308 · Cited by 2,321
National Health and Nutrition Examination Survey
(2010) · Handbook of Disease Burdens and Quality of Life Measures · doi:10.1007/978-0-387-78665-0_6177 · Cited by 2,087
Abellan Van Kan, G., Rolland, Y., Andrieu, S., Bauer, J., Beauchet, O., Bonnefoy, M., Cesari, M., Donini, L. M., Gillette-Guyonnet, S., Inzitari, M., et al. (2009) · The Journal of nutrition, health and aging · doi:10.1007/s12603-009-0246-z · Cited by 2,003
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) · Evidence-Based Eye Care · doi:10.1097/00132578-200307000-00027 · Cited by 1,793
Cited by
Mancia, G., Kreutz, R., Brunström, M., Burnier, M., Grassi, G., Januszewicz, A., Muiesan, M. L., Tsioufis, K., Agabiti-Rosei, E., Algharably, E. A. E., et al. (2023) · Journal of Hypertension · doi:10.1097/hjh.0000000000003480 · Cited by 3,473
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
Japanese clinical practice guideline for diabetes 2019
Araki, E., Goto, A., Kondo, T., Noda, M., Noto, H., Origasa, H., Osawa, H., Taguchi, A., Tanizawa, Y., Tobe, K., et al. (2020) · Diabetology International · doi:10.1007/s13340-020-00439-5 · Cited by 545
Japanese Clinical Practice Guideline for Diabetes 2019
Araki, E., Goto, A., Kondo, T., Noda, M., Noto, H., Origasa, H., Osawa, H., Taguchi, A., Tanizawa, Y., Tobe, K., et al. (2020) · Journal of Diabetes Investigation · doi:10.1111/jdi.13306 · Cited by 341
Warwick, J., Falaschetti, E., Rockwood, K., Mitnitski, A., Thijs, L., Beckett, N., Bulpitt, C., & Peters, R. (2015) · BMC Medicine · doi:10.1186/s12916-015-0328-1 · Cited by 329
Metadata
- Authors
- Odden, M. C., Peralta, C. A., Haan, M. N., & Covinsky, K. E.
- Venue
- Archives of Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2012-08-13
- Volume
- 172
- Issue
- 15
- Pages
- 1162-8
- ISSN
- 0003-9926 (ISSN-L)
- OpenAlex
- W2161698731
- Cited by
- 359
- References
- 28
- FWCI
- 17.07
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Rethinking the Association of High Blood Pressure With Mortality in Elderly Adults: The Impact of Frailty. https://app.cochat.ai/papers/10.1001/archinternmed.2012.2555
- The paper
- Odden, M. C., Peralta, C. A., Haan, M. N., & Covinsky, K. E. (2012). Rethinking the Association of High Blood Pressure With Mortality in Elderly Adults: The Impact of Frailty. Archives of Internal Medicine. https://doi.org/10.1001/archinternmed.2012.2555
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.
