HYPEST study: profile of hypertensive patients in Estonia
Open accessAbstract
BACKGROUND: More than one third of adult population in Estonia has problems with elevated blood pressure (BP). The Hypertension in Estonia (HYPEST) study represents the country's first hypertension-targeted sample collection aiming to examine the epidemiological and genetic determinants for hypertension (HTN) and related cardiovascular diseases (CVD) in Estonian population. The HYPEST subjects (n = 1,966) were recruited across Estonia between 2004-2007 including clinically diagnosed HTN cases and population-based controls. The present report is focused on the clinical and epidemiological profile of HYPEST cases, and gender-specific effects on the pathophysiology of hypertension. METHODS: Current analysis was performed on 1,007 clinically diagnosed HTN patients (617 women and 390 men) aged 18-85 years. The hypertensives were recruited to the study by BP specialists at the North Estonia Medical Center, Centre of Cardiology, Tallinn or at the Cardiology Clinic, Tartu University Hospital, Estonia. Longitudinal BP data was extracted retrospectively from clinical records. Current and retrospective data of patient's medical history, medication intake and lifestyle habits were derived from self-administrated questionnaire and each variable was examined separately for men and women. Eleven biochemical parameters were measured from fasting serum samples of 756 patients. RESULTS: The distribution of recruited men and women was 39% and 61% respectively. Majority of Estonian HTN patients (85%) were overweight (BMI ≥ 25 kg/m2) and a total of 79% of patients had additional complications with cardiovascular system. In men, the hypertension started almost 5 years earlier than in women (40.5 ± 14.5 vs 46.1 ± 12.7 years), which led to earlier age of first myocardial infarction (MI) and overall higher incidence rate of MI among male patients (men 21.2%, women 8.9%, P < 0.0001). Heart arrhythmia, thyroid diseases, renal tubulo-intestinal diseases and hyperlipidemia were more prevalent in hypertensive women compared to men (P < 0.0001). An earlier age of HTN onset was significantly associated with smoking (P = 0.00007), obesity (BMI ≥ 30 kg/m2; P = 0.0003), increased stress (P = 0.0003) and alcohol consumption (P = 0.004). CONCLUSION: Understanding the clinical profile of HTN patients contributes to CVD management. Estonian hypertension patients exhibited different disease and risk profiles of male and female patients. This well-characterized sample set provides a good resource for studying hypertension and other cardiovascular phenotypes.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Awareness and treatment of hypertension are not optimal and may be especially important in heavy drinkers.
“Similarly, awareness and treatment for hypertension are not optimal,65 and might be especially important in heavy drinkers.66”
From The effect of a reduction in alcohol consumption on blood pressure: a systematic review and meta-analysis (2017) · cites this paper as [66]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Global burden of hypertension: analysis of worldwide data
Kearney, P. M., Whelton, M., Reynolds, K., Muntner, P., Whelton, P. K., & He, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)17741-1 · Cited by 8,578 · see citing works
Global burden of hypertension: analysis of worldwide data
(2005) · doi:10.1016/s0140-6736(05)70151-3 · Cited by 3,289 · see citing works
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
The International Consortium for Blood Pressure Genome-Wide Association Studies (2011) · Nature · doi:10.1038/nature10405 · Cited by 2,033 · see citing works
Wolf-Maier, K. (2003) · JAMA · doi:10.1001/jama.289.18.2363 · Cited by 1,718 · see citing works
Recommendations for Human Blood Pressure Determination by Sphygmomanometers
Kirkendall, W. M., Burton, A. C., Epstein, F. H., & Freis, E. D. (1967) · Circulation · doi:10.1161/01.cir.36.6.980 · Cited by 882 · see citing works
Whelton, P. K. (1994) · The Lancet · doi:10.1016/s0140-6736(94)91285-8 · Cited by 711 · see citing works
SLC2A9 Is a High-Capacity Urate Transporter in Humans
Caulfield, M. J., Munroe, P. B., O’Neill, D., Witkowska, K., Charchar, F. J., Doblado, M., Evans, S., Eyheramendy, S., Onipinla, A. K., Howard, P., et al. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050197 · Cited by 375 · see citing works
Self-citationComparative effects of aging in men and women on the properties of the arterial tree
Smulyan, H., Asmar, R. G., Rudnicki, A., London, G. M., & Safar, M. E. (2001) · Journal of the American College of Cardiology · doi:10.1016/s0735-1097(01)01166-4 · Cited by 307 · see citing works
A Prospective Study of Body Mass Index and the Risk of Developing Hypertension in Men
Gelber, R. D., GAZIANO, J., Manson, J. E., Buring, J. E., & Sesso, H. D. (2007) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2006.10.011 · Cited by 236 · see citing works
August, P., & Oparil, S. (1999) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.84.6.5724 · Cited by 198 · see citing works
Org, E., Eyheramendy, S., Juhanson, P., Gieger, C., Lichtner, P., Klopp, N., Veldre, G., Döring, A., Viigimaa, M., Sõber, S., et al. (2009) · Human Molecular Genetics · doi:10.1093/hmg/ddp135 · Cited by 189 · see citing works
Self-citationTargeting 160 Candidate Genes for Blood Pressure Regulation with a Genome-Wide Genotyping Array
Sõber, S., Org, E., Kepp, K., Juhanson, P., Eyheramendy, S., Gieger, C., Lichtner, P., Klopp, N., Veldre, G., Viigimaa, M., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006034 · Cited by 114 · see citing works
Self-citationMaternal and Social Origins of Hypertension
Barker, D. J. P., Osmond, C., Forsén, T., Kajantie, E., & Eriksson, J. G. (2007) · Hypertension · doi:10.1161/hypertensionaha.107.091512 · Cited by 112 · see citing works
Safar, M. E. (2003) · American Journal of Hypertension · doi:10.1016/s0895-7061(03)01008-2 · Cited by 105 · see citing works
Kirkendall, W. M., Feinleib, M., Freis, E. D., & Mark, A. L. (1981) · PubMed · Cited by 100 · see citing works
Dochi, M., Sakata, K., Oishi, M., Tanaka, K., Kobayashi, E., & Suwazono, Y. (2009) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.217.37 · Cited by 81 · see citing works
Review of cardiovascular risk factors in women
Evangelista, O., & McLaughlin, M. A. (2009) · Gender Medicine · doi:10.1016/j.genm.2009.02.004 · Cited by 62 · see citing works
Newhouse, S., Farrall, M., Wallace, C., Hoti, M., Burke, B., Howard, P., Onipinla, A. K., Lee, K., Shaw‐Hawkins, S., Dobson, R., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005003 · Cited by 52 · see citing works
Self-citationEgusa, G., Watanabe, H., Ohshita, K., Fujikawa, R., Yamane, K., Okubo, M., & Kohno, N. (2002) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.9.299 · Cited by 49 · see citing works
Juhanson, P., Kepp, K., Org, E., Veldre, G., Kelgo, P., Rosenberg, M., Viigimaa, M., & Laan, M. (2008) · BMC Medical Genetics · doi:10.1186/1471-2350-9-25 · Cited by 35 · see citing works
Self-citationWilliams, E. L., Winkleby, M. A., & Fortmann, S. P. (1993) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116609 · Cited by 27 · see citing works
Changes in body weight and onset of hypertension in perimenopausal women
Juntunen, M., NISKANEN, L. K., Saarelainen, J., Tuppurainen, M., Saarikoski, S., & Honkanen, R. (2003) · Journal of Human Hypertension · doi:10.1038/sj.jhh.1001611 · Cited by 27 · see citing works
Putku, M., Kepp, K., Org, E., Sõber, S., Comas, D., Viigimaa, M., Veldre, G., Juhanson, P., Hallast, P., Tõnisson, N., et al. (2011) · Human Mutation · doi:10.1002/humu.21508 · Cited by 27 · see citing works
Self-citationBlood pressure and control of cardiovascular risk.
Whitworth, J. A. (2005) · PubMed · Cited by 20 · see citing works
Kepp, K., Org, E., Sõber, S., Kelgo, P., Viigimaa, M., Veldre, G., Tõnisson, N., Juhanson, P., Putku, M., Kindmark, A., et al. (2010) · BMC Medical Genetics · doi:10.1186/1471-2350-11-15 · Cited by 15 · see citing works
Self-citationRisk factors for coronary heart disease in 55‐ and 35‐year‐old men and women in Sweden and Estonia
Johansson, J., Viigimaa, M., Jensen‐Urstad, M., Krakau, I., & Hansson, L. ‐. (2002) · Journal of Internal Medicine · doi:10.1046/j.1365-2796.2002.01068.x · Cited by 14 · see citing works
Self-citationKepp, K., Juhanson, P., Kožich, V., Ots, M., Viigimaa, M., & Laan, M. (2007) · BMC Medical Genetics · doi:10.1186/1471-2350-8-47 · Cited by 14 · see citing works
Self-citationCutler, J. A. (1993) · Current Opinion in Nephrology & Hypertension · doi:10.1097/00041552-199305000-00008 · Cited by 7 · see citing works
Risk factor control in treated hypertensives from Estonia and Sweden. Why the difference?
Nilsson, P. M., Journath, G., Palm, K., & Viigimaa, M. (2007) · Blood Pressure · doi:10.1080/08037050701517224 · Cited by 5 · see citing works
Self-citationMatsi, A., & Oja, L. (2014) · Ajakirjad. Journals by UT · doi:10.15157/ea.v0i0.10453 · Cited by 5 · see citing works
Rahvastiku tervisekaotus ehk haiguskoormus: hindamise metoodika
Vals, K., Kiivet, R., & Lai, T. (2014) · Ajakirjad. Journals by UT · doi:10.15157/ea.v0i0.9831 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- Volozh O Abina J Solodkaja E Tallinlaste vererõhk: 15 aasta trendid ("Blood pressure of Tallinn citizens: trends across 15 years") Blood Pressure Journal of the Estonian Society of Hypertension 2002 8 13 [in Estonian]
Cited by
Sorted by citations
Genome-wide association analyses identify 18 new loci associated with serum urate concentrations
Study, L. C., Köttgen, A., Albrecht, E., Teumer, A., Vitart, V., Krumsiek, J., Hundertmark, C., Pistis, G., Ruggiero, D., O’Seaghdha, C. M., et al. (2012) · Nature Genetics · doi:10.1038/ng.2500 · Cited by 824 · see citing works
Self-citationRoerecke, M., Kaczorowski, J., Tobe, S. W., Gmel, G., Hasan, O. S. M., & Rehm, J. (2017) · The Lancet Public Health · doi:10.1016/s2468-2667(17)30003-8 · Cited by 552 · see citing works
Liu, X., Zhang, M., Zhang, C., & Liu, C. (2012) · Food Chemistry · doi:10.1016/j.foodchem.2012.04.023 · Cited by 81 · see citing works
CDH13 promoter SNPs with pleiotropic effect on cardiometabolic parameters represent methylation QTLs
Putku, M., Kals, M., Inno, R., Kasela, S., Org, E., Kožich, V., Milani, L. A., & Laan, M. (2014) · Human Genetics · doi:10.1007/s00439-014-1521-6 · Cited by 40 · see citing works
Self-citationPan, H., Lin, H., Chen, W., & Wang, T. (2020) · PubMed Central · doi:10.6515/acs.202007_36(4).20191220a · Cited by 23 · see citing works
Viigimaa, M., Ērglis, A., Latkovskis, G., Mäeots, E., Petrulionienė, Ž., Šlapikas, R., Gocentiene, A., Bramlage, P., & Brudi, P. (2014) · Medicina · doi:10.1016/j.medici.2014.05.003 · Cited by 16 · see citing works
Self-citationTimasheva, Y., Putku, M., Kivi, R., Kožich, V., Männik, J., & Laan, M. (2013) · Placenta · doi:10.1016/j.placenta.2013.08.012 · Cited by 12 · see citing works
Self-citationRehm, J. T., Gmel, G. E., Sierra, C., & Gual, A. (2016) · Adicciones · doi:10.20882/adicciones.726 · Cited by 10 · see citing works
Sumiyati, Y., Bakri, S., & Arif, M. (2012) · The Indonesian Biomedical Journal · doi:10.18585/inabj.v4i3.175
(2013) · Circulation · doi:10.1161/cir.0b013e318286c992
- Authors
- Org, E., Veldre, G., Viigimaa, M., Juhanson, P., Putku, M., Rosenberg, M., Tomberg, K., Uuetoa, T., & Laan, M.
- Affiliations
- University of Tartu (EE)
- Tallinn University of Technology (EE)
- University of Michigan (US)
- Corresponding author
- Org, Elin
- Laan, Maris
- Venue
- BMC Cardiovascular Disorders
- Published
- 2011-08-31
- Volume
- 11
- Issue
- 1
- Pages
- 55-55
- ISSN
- 1471-2261 (ISSN-L)
- PMC
- PMC3179926
- OpenAlex
- W2144352622
- Cited by
- 11
- References
- 29
- Citations by year
- 2020: 1 · 2017: 1 · 2016: 1 · 2014: 3 · 2013: 2 · 2012: 3
- FWCI
- 1.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- BMC Cardiovascular Disorders (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Howard Hughes Medical Institute (#55005617)
- Wellcome Trust (070191/Z/03/A, 070191/Z/03/Z)
- European Commission
- Eesti Teadusfondi (ETF7491, ETF7471)
- Tartu Ülikool
- European Regional Development Fund
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Blood Pressure and Hypertension Studies
- Health Sciences › Nursing › Nutrition and Dietetics › Sodium Intake and Health
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Hormonal Regulation and Hypertension
- Keywords
- hypertension, hypertension epidemiology, Estonian population, sex differences in hypertension, cardiovascular comorbidity, myocardial infarction, smoking, obesity, alcohol consumption, stress, cardiovascular risk factors, hypertension pathophysiology, cardiovascular risk stratification, cardiovascular disease prevention, cardiovascular screening, cardiovascular disease treatment
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Estonia, Female, Humans, Hypertension, Longitudinal Studies, Male, Middle Aged, Retrospective Studies, Sex Factors, Young Adult
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