Lewington S, Clarke R, Qizilbash N, Peto R, Collins R, Prospective Studies Collaboration. Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies. Lancet. 2002;360(9349):1903–13.
Article
Google Scholar
Forouzanfar MH, et al. Global burden of hypertension and systolic blood pressure of at least 110 to 115 mm hg, 1990-2015. JAMA. 2017;317(2):165–82.
Article
Google Scholar
Global Burden of Metabolic Risk Factors for Chronic Diseases Collaboration. Cardiovascular disease, chronic kidney disease, and diabetes mortality burden of cardiometabolic risk factors from 1980 to 2010: a comparative risk assessment. Lancet Diabetes Endocrinol. 2014;2(8):634–47.
Article
Google Scholar
Grigoriev P, Meslé F, Shkolnikov VM, Andreev E, Fihel A, Pechholdova M, et al. The recent mortality decline in Russia: beginning of the cardiovascular revolution? Popul Dev Rev. 2014;40(1):107–29.
Article
Google Scholar
GBD 2016 Russia Collaborators. The burden of disease in Russia from 1980 to 2016: a systematic analysis for the global burden of disease study 2016. Lancet. 2018;392(10153):1138–46.
Article
Google Scholar
Zhou B, et al. Worldwide trends in blood pressure from 1975 to 2015: a pooled analysis of 1479 population-based measurement studies with 19·1 million participants. Lancet. 2017;389(10064):37–55.
Article
Google Scholar
Mills KT, Bundy JD, Kelly TN, Reed JE, Kearney PM, Reynolds K, et al. Global disparities of hypertension prevalence and control: a systematic analysis of population-based studies from 90 countries. Circulation. 2016;134(6):441–50. https://doi.org/10.1161/CIRCULATIONAHA.115.018912.
Article
PubMed
PubMed Central
Google Scholar
Wilkins E, Wilson L, Wickramasinghe K, Bhatnagar P, Leal J, Luengo-Fernandez R, et al. European cardiovascular disease statistics 2017. Brussels: European Heart Network; 2017.
Google Scholar
Williams OD, Stinnett S, Chambless LE, Boyle KE, Bachorik PS, Albers JJ, et al. Populations and methods for assessing dyslipoproteinemia and its correlates: the Lipid Research Clinics Program Prevalence Study. Circulation. 1986;73(Supplement I):I4–I11.
CAS
PubMed
Google Scholar
Deev AD, Konstantinov VV, Shestov DB. Population descriptions and methodology for US-USSR collaboration in area 1 (pathogenesis of atherosclerosis) (second prevalence study details for Moscow and Leningrad lipid research clinics). Atheroscler Rev. 1988;17:103–9.
Google Scholar
Deev AD, Oganov RG. Trends and determinants of cardiovascular mortality in the Soviet Union. Int J Epidemiol. 1989;18(Suppl 1):S137–44.
Article
CAS
Google Scholar
Balanova YA, Shalnova SA, Deev AD, Konstantinov VV, Kapustina AV. Arterial hypertension prevalence in Moscow in different time intervals. Arterial’naya hypertensiya. 2013;19(2):102–8.
Article
Google Scholar
Research Organizing Committee of the ESSE-RF project. Epidemiology of cardiovascular diseases in different regions of Russia (ESSE-RF). The rationale for and design of the study. Russ J Prev Med Public Health. 2013;16(6):25–34.
Google Scholar
Oganov RG, Timofeeva TN, Koltunov IE, Konstantinov VV, Balanova YA, Kapustina AV, et al. Arterial hypertension epidemiology in Russia: the results of 2003-2010 federal monitoring. Cardiovasc Ther Prev (Russian Federation). 2011;10(1):9–13.
Google Scholar
Badin YV, Fomin IV, Belenkov YN, Mareev VY, Ageev FT, Polyakov DS, et al. EPOCHA-AH 1998–2017. Dynamics of prevalence, awareness of arterial hypertension, treatment coverage, and effective control of blood pressure in the European part of the Russian Federation. Kardiologiia. 2019;59(1S):34–42.
Article
Google Scholar
Shalnova SA, Balanova YA, Konstantinov VV, Timofeeva TN, Ivanov VM, Kapustina AV, et al. Arterial hypertension: prevalence, awareness, treatment and control among Russian population. Russ Cardiol J. 2006;4(60):45–50.
Google Scholar
WHO Multi-country studies data archive. Russian Federation - study on global ageing and adult health-2007/10, wave 1. WHO. Report generated on October 24, 2013. http://apps.who.int/healthinfo/systems/surveydata/index.php/ddibrowser/68/export/?format=pdf&generate=yes. Accessed 17 Feb 2020.
Vlasoff T, Laatikainen T, Korpelainen V, Uhanov M, Pokusajeva S, Rogacheva A, et al. Ten year trends in chronic disease risk factors in the Republic of Karelia, Russia. Eur J Public Health. 2008;18:666–73.
Article
Google Scholar
Vlassof T, Laatikainen T, Korpelainen V, Uhanov M, Pokusajeva S, Tossavainen K, et al. Trends and educational differences in non-communicable disease risk factors in Pitkäranta, Russia, from 1992 to 2007. Scand J Public Health. 2015;43:91–8.
Article
Google Scholar
Averina M, Nilssen O, Brenn T, Brox J, Kalinin AG, Arkhipovsky VL. High cardiovascular mortality in Russia cannot be explained by classical risk factors. The Arkhangelsk study 2000. Eur J Epidemiol. 2003;18:871–8.
Article
Google Scholar
Tomkins S, Collier T, Oralov A, Saburova L, McKee M, Shkolnikov V, et al. Hazardous alcohol consumption is a major factor in male premature mortality in a typical Russian city: prospective cohort study 2003–2009. PLoS One. 2012;7:e30274.
Article
CAS
Google Scholar
Shkolnikova MA, Shalnova SA, Shkolnikov VM, Metelskaya V, Deev AD, Andreev EM, et al. Biological mechanisms of disease and death in Moscow: rationale and design of the survey on Stress Aging and Health in Russia (SAHR). BMC Public Health. 2009;9:293.
Article
Google Scholar
Cook S, Malyutina S, Kudryavtsev AV, et al. Know your heart: rationale, design and conduct of a cross-sectional study of cardiovascular structure, function and risk factors in 4500 men and women aged 35-69 years from two Russian cities, 2015-18. Wellcome Open Res. 2018;3:67.
Article
Google Scholar
University College London, Department of Epidemiology and Public Health, National Centre for Social Research. Health survey for England, 2009. [data collection]. 3rd Edition. UK Data Service, 2015. Available from: https://doi.org/10.5255/UKDA-SN-6732-2. Accessed 6 Feb 2020.
NatCen Social Research, University College London, Department of Epidemiology and Public Health. Health survey for England, 2016. [data collection]. 3rd Edition. UK Data Service, 2019. Available from: https://doi.org/10.5255/UKDA-SN-8334-3. Accessed 6 Feb 2020.
Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS). National health and nutrition examination survey data. Hyattsville: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2007. https://wwwn.cdc.gov/nchs/nhanes/ContinuousNhanes/Default.aspx?BeginYear=2007. Accessed 6 Feb 2020
Google Scholar
Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS). National health and nutrition examination survey data. Hyattsville: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention; 2015. https://wwwn.cdc.gov/nchs/nhanes/continuousnhanes/default.aspx?BeginYear=2015. Accessed 6 Feb 2020
Google Scholar
Boytsov SA, Balanova YA, Shalnova SA, Deev AD, Artamonova GV, Gatagonova TM, et al. Arterial hypertension among individuals of 25–64 years old: prevalence, awareness, treatment and control. By the data from ECCD. Cardiovasc Ther Prev. 2014;13(4):4–14.
Article
Google Scholar
The All-Russian Census of Population 2002. http://www.perepis2002.ru Accessed 6 Feb 2020.
Harbord RM, Higgins JPT. Meta-regression in Stata. Stata J. 2008;8:493–519.
Article
Google Scholar
Fisher DJ. Two-stage individual participant data meta-analysis and generalized forest plots. Stata J. 2015;15:369–96.
Article
Google Scholar
StataCorp. Stata statistical software: release 14. College Station: StataCorp LP; 2015.
Google Scholar
Petersen J, Kontsevaya A, McKee M, Kudryavtsev AV, Malyutina S, Cook S, et al. Untreated hypertension in Russian 35-69 year olds - a cross-sectional study. PLoS One. 2020;15(5):e0233801.
Article
CAS
Google Scholar
Stefler D, Malyutina S, Nikitin Y, Nikitenko T, Rodriguez-Artalejo F, Peasey A, et al. Fruit, vegetable intake and blood pressure trajectories in older age. J Hum Hypertens. 2019;33:671–8.
Article
Google Scholar
Nuotio J, Suvila K, Cheng S, Langen V, Niiranen T. Longitudinal blood pressure patterns and cardiovascular disease risk. Ann Med. 2020;52(3-4):43–54.
Article
Google Scholar
Ungvari Z, Tarantini S, Sorond F, Merkely B, Csiszar A. Mechanisms of vascular aging, a geroscience perspective: JACC focus seminar. J Am Coll Cardiol. 2020;75(8):931–41.
Article
CAS
Google Scholar
Nilsson PM, Khalili P, Franklin SS. Blood pressure and pulse wave velocity as metrics for evaluating pathologic ageing of the cardiovascular system. Blood Press. 2014;23(1):17–30.
Article
Google Scholar
He FJ, Tan M, Ma Y, MacGregor GA. Salt reduction to prevent hypertension and cardiovascular disease: JACC state-of-the-art review. J Am Coll Cardiol. 2020;75(6):632–47.
Article
CAS
Google Scholar
Shkolnikov V, Churilova E, Jdanov D, Shalnova S, Nilssen O, Kudryavtsev A, et al. Time trends in smoking in Russia in the light of recent tobacco control measures: synthesis of evidence from multiple sources. BMC Public Health. 2020;20(378):1–11.
Google Scholar