The DOI matches its Crossref record.
Effects of aging on arterial distensibility in populations with high and low prevalence of hypertension: comparison between urban and rural communities in China.
Open accessAbstract
Arterial pulse wave velocity, an established index of arterial distensibility, was measured together with arterial pressure in a group of 524 normal subjects of both sexes 2 months to 94 years old (mean age 45.6 +/- 15.3 years [SD]) in rural Guangzhou, China, an area with known low prevalence of hypertension. Fasting serum lipid levels and overnight Na+ and K+ urinary excretion levels were determined in a subgroup of 104 subjects (ages 8 to 88 years). Comparisons were made with data obtained similarly from normal subjects in urban Beijing, an area with known high prevalence of hypertension. Serum cholesterol levels were similar and low in each group (Guangzhou, 4.34 +/- 0.12 mmol/liter [SE]; BEijing, 4.49 +/- 0.11 mmol/liter). Prevalence of hypertension (WHO criteria) was 4.9% (Guangzhou) and 15.6% (Beijing). In Guangzhou subjects pulse wave velocity was consistently lower in the aorta, arm, and leg, and increased to a lesser degree with age compared with Beijing subjects. Regression equations (x = pulse wave velocity [cm/sec], y = age [years]) were as follows: (1) aorta, Guangzhou: y = 5.1x + 533, r = .552, p less than .05; Beijing: y = 9.2x + 615, r = .673, p less than .001; (2) arm, Guangzhou: y = 0.61x + 817, r = .121, p less than .05; Beijing: y = 4.8x + 998, r = .453, p less than .001; (3) leg, Guangzhou: y = 4.43x + 718, r = .512, p less than .05; Beijing: y = 5.6x + 791, r = .630, p less than .001.(ABSTRACT TRUNCATED AT 250 WORDS)
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
Mechanisms, Pathophysiology, and Therapy of Arterial Stiffness
Zieman, S. J., Melenovsky, V., & Kass, D. A. (2005) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000160548.78317.29 · Cited by 1,854
Asmar, R., Benetos, A., Topouchian, J., Laurent, P., Pannier, B., Brisac, A.-M., Target, R., & Levy, B. I. (1995) · Hypertension · doi:10.1161/01.hyp.26.3.485 · Cited by 1,376
Association Between Arterial Stiffness and Atherosclerosis: The Rotterdam Study
van Popele, N. M., Grobbee, D. E., Bots, M. L., Asmar, R., Topouchian, J., Reneman, R. S., Hoeks, A. P. G., van der Kuip, D. A. M., Hofman, A., & Witteman, J. C. M. (2001) · Stroke · doi:10.1161/01.str.32.2.454 · Cited by 1,142
KARAMANOGLU, M., O'ROURKE, M. F., AVOLIO, A. P., & KELLY, R. P. (1993) · European Heart Journal · doi:10.1093/eurheartj/14.2.160 · Cited by 873
Self-citationIadecola, 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
Lobelo, F., Rohm Young, D., Sallis, R., Garber, M. D., Billinger, S. A., Duperly, J., Hutber, A., Pate, R. R., Thomas, R. J., Widlansky, M. E., et al. (2018) · Circulation · doi:10.1161/cir.0000000000000559 · Cited by 402
Schulman, S. P., Becker, L. C., Kass, D. A., Champion, H. C., Terrin, M. L., Forman, S., Ernst, K. V., Kelemen, M. D., Townsend, S. N., Capriotti, A., et al. (2006) · JAMA · doi:10.1001/jama.295.1.58 · Cited by 357
Farquhar, W. B., Edwards, D. G., Jurkovitz, C. T., & Weintraub, W. S. (2015) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2014.12.039 · Cited by 348
Large Artery Stiffness Assessment Using SphygmoCor Technology
Butlin, M., & Qasem, A. (2016) · Pulse · doi:10.1159/000452448 · Cited by 244
The blood pressure response to dynamic exercise testing: A systematic review
Le, V.-V., Mitiku, T., Sungar, G., Myers, J., & Froelicher, V. (2008) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2008.07.001 · Cited by 197
Flash pulmonary oedema and bilateral renal artery stenosis: the Pickering Syndrome
Messerli, F. H., Bangalore, S., Makani, H., Rimoldi, S. F., Allemann, Y., White, C. J., Textor, S., & Sleight, P. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehr056 · Cited by 183
Habitual exercise and vascular ageing
Seals, D. R., Walker, A. E., Pierce, G. L., & Lesniewski, L. A. (2009) · The Journal of Physiology · doi:10.1113/jphysiol.2009.178822 · Cited by 173
Validation of a device to measure arterial pulse wave velocity by a photoplethysmographic method
Loukogeorgakis, S., Dawson, R., Phillips, N., Martyn, C. N., & Greenwald, S. E. (2002) · Physiological Measurement · doi:10.1088/0967-3334/23/3/309 · Cited by 164
Genesis of the normal and abnormal arterial pulse
Vlachopoulos, C., & O'Rourke, M. (2000) · Current Problems in Cardiology · doi:10.1067/mcd.2000.104057 · Cited by 125
Self-citationKalogeropoulos, A. P., Georgiopoulou, V. V., Murphy, R. A., Newman, A. B., Bauer, D. C., Harris, T. B., Yang, Z., Applegate, W. B., & Kritchevsky, S. B. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2014.6278 · Cited by 116
Orthostatic hypotension in very old individuals living in nursing homes: the PARTAGE study
Valbusa, F., Labat, C., Salvi, P., Vivian, M. E., Hanon, O., & Benetos, A. (2012) · Journal of Hypertension · doi:10.1097/hjh.0b013e32834d3d73 · Cited by 91
Nutrition and other lifestyle influences on arterial aging
LaRocca, T. J., Martens, C. R., & Seals, D. R. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2016.09.002 · Cited by 83
Blood Flow Restricted Exercise and Vascular Function
Horiuchi, M., & Okita, K. (2012) · International Journal of Vascular Medicine · doi:10.1155/2012/543218 · Cited by 75
Aging Biomarker Consortium, Zhang, L., Guo, J., Liu, Y., Sun, S., Liu, B., Yang, Q., Tao, J., Tian, X.-L., Pu, J., et al. (2023) · Life Medicine · doi:10.1093/lifemedi/lnad033 · Cited by 60
Huffman, D. M., Justice, J. N., Stout, M. B., Kirkland, J. L., Barzilai, N., & Austad, S. N. (2016) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glw106 · Cited by 52
The time course of salt-induced hypertension, and why it matters
Van Vliet, B. N., & Montani, J.-P. (2008) · International Journal of Obesity · doi:10.1038/ijo.2008.205 · Cited by 44
(1999) · PubMed · Cited by 38
Metadata
- Authors
- Avolio, A. P., Deng, F. Q., Li, W. Q., Luo, Y. F., Huang, Z. D., Xing, L. F., & O'Rourke, M. F.
- Venue
- Circulation
- Published
- 1985-02
- Volume
- 71
- Issue
- 2
- Pages
- 202-210
- ISSN
- 0009-7322 (ISSN-L)
- 1524-4539
- OpenAlex
- W2045084428
- Cited by
- 839
- References
- 0
- FWCI
- 6.30
- Type
- journal article
- Language
- en
- Open access
- bronze
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.