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Open Access 01-12-2022 | Hypertension | Research

Regional living conditions and the prevalence, awareness, treatment, control of hypertension at the individual level in Russia

Authors: Sergey Alekseevich Maksimov, Yulia A. Balanova, Svetlana A. Shalnova, Galina A. Muromtseva, Anna V. Kapustina, Oksana M. Drapkina

Published in: BMC Public Health | Issue 1/2022

Abstract

Background

The objective of our study was to investigate the associations of characteristics inherent in large Russian Federation (RF) regions with prevalence, awareness, treatment and control of hypertension at the individual level.

Methods

Regional characteristics were obtained from the official website of the Federal State Statistics Service of the RF. We employed principal component analysis to reduce the dimensionality of data, which allowed defining five integral regional indices. Prevalence, awareness, treatment and control of hypertension were assessed from the data of the cross-sectional stage of ESSE-RF study conducted in 2013–2014. The final sample included 19,791 patients from 12 RF regions. Generalized estimating equations were used to identify the associations of regional indices with prevalence, awareness, treatment and control of hypertension at the individual level, taking into consideration nested data structures (study subjects in the regions).

Results

The index characterizing deterioration of social living conditions and societal marginalization exhibited positive associations with the prevalence of hypertension among men (OR = 1.18; 95% CI: 1.05–1.32) and elderly people (OR = 1.16; 95% CI: 1.02–1.32). Moreover, deterioration in the social environment was associated with a reduction in treatment (OR = 0.76; 95% CI: 0.64–0.90) and control of hypertension (OR = 0.79; 95% CI: 0.69–0.90). Hypertension awareness was directly connected with demographic crisis (OR = 1.13; 95% CI: 1.02–1.25) and augmented industrial development (OR = 1.15; 95% CI: 1.01–1.33) in the regions. The association of regional living conditions with the prevalence of hypertension is relatively weak, compared to predictors at the individual level, but this influence is important for awareness, treatment and control of hypertension.

Conclusion

The study contributed to evaluating the associations of the vital characteristics inherent in population of large RF regions with arterial hypertension prevalence, as well as with awareness, treatment and control of this disease. Our results provided original insights from the standpoint of cardiovascular disease epidemiology in the RF, as well as in the context of investigating the impact of living conditions on population health.

GBD 2013 Risk Factors Collaborators. Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks in 188 countries, 1990–2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet. 2015;386(10010):2287–323. https://doi.org/10.1016/S0140-6736(15)00128-2.CrossRefPubMedCentral

Ford ES, Ajani UA, Croft JB, Critchley JA, Labarthe DR, Kottkeet TE, et al. Explaining the decrease in US deaths from coronary disease, 1980–2000. N Engl J Med. 2007;356(23):2388–98. https://doi.org/10.1056/NEJMsa053935.CrossRefPubMed

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. https://doi.org/10.1016/s0140-6736(02)11911-8.CrossRef

Kearney PM, Whelton M, Reynolds K, Whelton PK. Worldwide prevalence of hypertension: a systematic review. J Hypertens. 2004;22(1):11–9. https://doi.org/10.1097/01.hjh.0000098149.70956.79.CrossRefPubMed

Anchala R, Kannuri NK, Pant H, Khan H, Franco OH, Di Angelantonio E, et al. Hypertension in India: a systematic review and meta-analysis of prevalence, awareness, and control of hypertension. J Hypertens. 2014;32(6):1170–7. https://doi.org/10.1097/HJH.0000000000000146.CrossRefPubMedPubMedCentral

Li D, Lv J, Liu F, Liu P, Yang X, Fenget Y, et al. Hypertension burden and control in Mainland China: analysis of nationwide data 2003–2012. Int J Cardiol. 2015;184:637–44. https://doi.org/10.1016/j.ijcard.2015.03.045.CrossRefPubMed

Balanova YA, Shalnova SA, Imaeva AE, Kapustina AV, Muromtseva GA, Evstifeeva SE, et al. Prevalence, awareness, treatment and control of hypertension in Russian Federation (data of observational ESSE-RF-2 study). Rational Pharmacotherapy in Cardiology. 2019;15(4):450–66. https://doi.org/10.20996/1819-6446-2019-15-4-450-466.CrossRef

Xu L, Jiang Q, Lairson DR. Spatio-temporal variation of gender-specific hypertension risk: evidence from China. Int J Environ Res Public Health. 2019;16(22):E4545. https://doi.org/10.3390/ijerph16224545.CrossRefPubMed

Babiker FA, Elkhalifa LA, Moukhyer ME. Awareness of hypertension and factors associated with uncontrolled hypertension in Sudanese adults. Cardiovasc J Afr. 2013;24(6):208–12. https://doi.org/10.5830/CVJA-2013-035.CrossRefPubMedPubMedCentral

10.

Sarki AM, Nduka CU, Stranges S, Kandala N, Uthman OA. Prevalence of hypertension in low- and middle-income countries: a systematic review and meta-analysis. Medicine (Baltimore). 2015;94(50): e1959. https://doi.org/10.1097/MD.0000000000001959.CrossRef

11.

Merlo J, Asplund K, Lynch J, Råstam L, Dobson A. Population effects on individual systolic blood pressure: a multilevel analysis of the World Health Organization MONICA Project. Am J Epidemiol. 2004;159(12):1168–79. https://doi.org/10.1093/aje/kwh160.CrossRefPubMed

12.

Leal C, Chaix B. The influence of geographic life environments on cardiometabolic risk factors: a systematic review, a methodological assessment and a research agenda. Obes Rev. 2011;12(3):217–30. https://doi.org/10.1111/j.1467-789X.2010.00726.x.CrossRefPubMed

13.

Morenoff JD, House JS, Hansen BB, Williams DR, Kaplan GA, Hunte HE. Understanding social disparities in hypertension prevalence, awareness, treatment, and control: the role of neighborhood context. Soc Sci Med. 2007;65(9):1853–66. https://doi.org/10.1016/j.socscimed.2007.05.038.CrossRefPubMedPubMedCentral

14.

Toms R, Bonney A, Mayne DJ, Feng X, Walsan R. Geographic and area-level socioeconomic variation in cardiometabolic risk factor distribution: a systematic review of the literature. Int J Health Geogr. 2019;18(1):1. https://doi.org/10.1186/s12942-018-0165-5.CrossRefPubMedPubMedCentral

15.

Kaiser P, Diez Roux AV, Mujahid M, Carnethon M, Bertoni A, Adar SD, et al. Neighborhood environments and incident hypertension in the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2016;183(11):988–97. https://doi.org/10.1093/aje/kwv296.CrossRefPubMedPubMedCentral

16.

Mayne SL, Moore KA, Powell-Wiley TM, Evenson KR, Block R, Kershaw KN. Longitudinal associations of neighborhood crime and perceived safety with blood pressure: the Multi-Ethnic Study of Atherosclerosis (MESA). Am J Hypertens. 2018;31(9):1024–32. https://doi.org/10.1093/ajh/hpy066.CrossRefPubMedPubMedCentral

17.

Lucumi DI, Schulz AJ, Diez Roux AV, Grogan-Kaylor A. Income inequality and high blood pressure in Colombia: a multilevel analysis. Cad Saude Publica. 2017;33(11): e00172316. https://doi.org/10.1590/0102-311X00172316.CrossRefPubMed

18.

Rehkopf DH, Eisen EA, Modrek S, Horner EM, Goldstein B, Costello S, et al. Early-life state-of-residence characteristics and later life hypertension, diabetes, and ischemic heart disease. Am J Public Health. 2015;105(8):1689–95. https://doi.org/10.2105/AJPH.2014.302547.CrossRefPubMedPubMedCentral

19.

Dragano N, Bobak M, Wege N, Peasey A, Verde PE, Kubinova R, et al. Neighbourhood socioeconomic status and cardiovascular risk factors: a multilevel analysis of nine cities in the Czech Republic and Germany. BMC Public Health. 2007;7:255. https://doi.org/10.1186/1471-2458-7-255.CrossRefPubMedPubMedCentral

20.

Sprung MR, Faulkner LMD, Evans MK, Zonderman AB, Waldstein SR. Neighborhood crime is differentially associated with cardiovascular risk factors as a function of race and sex. J Public Health Res. 2019;8(3):1643. https://doi.org/10.4081/jphr.2019.1643.CrossRefPubMedPubMedCentral

21.

Wee LE, Koh GCH. Individual and neighborhood social factors of hypertension management in a low-socioeconomic status population: a community-based case-control study in Singapore. Hypertens Res. 2012;35(3):295–303. https://doi.org/10.1038/hr.2011.187.CrossRefPubMed

22.

Buys DR, Howard VJ, McClure LA, Buys KS, Sawyer P, Allman RM, et al. Association between neighborhood disadvantage and hypertension prevalence, awareness, treatment, and control in older adults: results from the University of Alabama at Birmingham Study of Aging. Am J Public Health. 2015;105(6):1181–8. https://doi.org/10.2105/AJPH.2014.302048.CrossRefPubMedPubMedCentral

23.

Cubbin C, Sundquist K, Ahlén H, Johansson SE, Winkleby MA, Sundquist J. Neighborhood deprivation and cardiovascular disease risk factors: protective and harmful effects. Scand J Public Health. 2006;34(3):228–37. https://doi.org/10.1080/14034940500327935.CrossRefPubMed

24.

Laraia BA, Karter AJ, Warton EM, Schillinger D, Moffet HH, Adler N. Place matters: neighborhood deprivation and cardiometabolic risk factors in the Diabetes Study of Northern California (DISTANCE). Soc Sci Med. 2012;74(7):1082–90. https://doi.org/10.1016/j.socscimed.2011.11.036.CrossRefPubMedPubMedCentral

25.

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. Cardiovascular Therapy and Prevention (Russia). 2014;13(4):4–14. https://doi.org/10.15829/1728-8800-2014-4-4-14.CrossRef

26.

Boitsov SA, Chazov EI, Shlyakhto EV, Shalnova SA, Konradi AO, Karpov YA, et al. Scientific Organizing Committee of the ESSE-RF. Epidemiology of cardiovascular diseases in different regions of Russia (ESSE-RF). The rationale for and design of the study. Prev Med. 2013;16(6):25–34.

27.

Maksimov SA, Shalnova SA, Balanova YA, Kutsenko VA, Evstifeeva SE, Imaeva AE, et al. What regional living conditions affect individual smoking of adults in Russia. Int J Pub Health. 2021;66: 599570. https://doi.org/10.3389/ijph.2021.599570.CrossRef

28.

Hanley JA, Negassa A, Edwardes MD, Forrester JE. Statistical analysis of correlated data using generalized estimating equations an orientation. Am J Epidemiol. 2003;157(4):364–75. https://doi.org/10.1093/aje/kwf215.CrossRefPubMed

29.

Hubbard AE, Ahern J, Fleischer NL, Van der Laan M, Lippman SA, Jewell N, et al. To GEE or not to GEE: comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology. 2010;21(4):467–74. https://doi.org/10.1097/EDE.0b013e3181caeb90.CrossRefPubMed

30.

Matheson FI, White HL, Moineddin R, Dunn JR, Glazier RH. Neighbourhood chronic stress and gender inequalities in hypertension among Canadian adults: a multilevel analysis. J Epidemiol Community Health. 2010;64(8):705–13. https://doi.org/10.1136/jech.2008.083303.CrossRefPubMed

31.

Fleischer NL, Diez Roux AV, Alazraqui M, Spinelli H. Social patterning of chronic disease risk factors in a Latin American city. J Urban Health. 2008;85(6):923–37. https://doi.org/10.1007/s11524-008-9319-2.CrossRefPubMedPubMedCentral

32.

Cozier YC, Palmer JR, Horton NJ, Fredman L, Wise LA, Rosenberg L. Relation between neighborhood median housing value and hypertension risk among black women in the United States. Am J Public Health. 2007;97(4):718–24. https://doi.org/10.2105/AJPH.2005.074740.CrossRefPubMedPubMedCentral

33.

Merlo J, Ostergren PO, Hagberg O, Lindström M, Lindgren A, Melander A, et al. Diastolic blood pressure and area of residence: multilevel versus ecological analysis of social inequity. J Epidemiol Community Health. 2001;55(11):791–8. https://doi.org/10.1136/jech.55.11.791.CrossRefPubMedPubMedCentral

34.

Wagner K, Boing A, Subramanian SV, Höfelmann DA, D’Orsi E. Effects of neighborhood socioeconomic status on blood pressure in older adults. Rev Saude Publica. 2016;50:78. https://doi.org/10.1590/S1518-8787.2016050006595.CrossRefPubMedPubMedCentral

35.

Coulon SM, Wilson DK, Alia KA, Van Horn ML. Multilevel associations of neighborhood poverty, crime, and satisfaction with blood pressure in African-American adults. Am J Hypertens. 2016;29(1):90–5. https://doi.org/10.1093/ajh/hpv060.CrossRefPubMed

36.

Feldman JM, Waterman PD, Coull BA, Krieger N. Spatial social polarisation: using the Index of Concentration at the Extremes jointly for income and race/ethnicity to analyse risk of hypertension. J Epidemiol Community Health. 2015;69(12):1199–207. https://doi.org/10.1136/jech-2015-205728.CrossRefPubMed

37.

Lippert AM, Evans CR, Razak F, Subramanian SV. Associations of continuity and change in early neighborhood poverty with adult cardiometabolic biomarkers in the United States: results from the National Longitudinal Study of Adolescent to Adult Health, 1995–2008. Am J Epidemiol. 2017;185(9):765–76. https://doi.org/10.1093/aje/kww206.CrossRefPubMedPubMedCentral

38.

Le C, Jun D, Yichun L, Zhankun S, Keying Z. Multilevel analysis of the determinants of pre-hypertension and hypertension in rural southwest China. Public Health Rep. 2011;126(3):420–7. https://doi.org/10.1177/003335491112600316.CrossRefPubMedPubMedCentral

39.

Shahu A, Herrin J, Dhruva SS, Desai NR, Davis BR, Krumholz HM, et al. Disparities in socioeconomic context and association with blood pressure control and cardiovascular outcomes in ALLHAT. J Am Heart Assoc. 2019;8(15): e012277. https://doi.org/10.1161/JAHA.119.012277.CrossRefPubMedPubMedCentral

40.

Lê-Scherban F, Ballester L, Castro JC, Cohen S, Melly S, Moore K, et al. Identifying neighborhood characteristics associated with diabetes and hypertension control in an urban African-American population using geo-linked electronic health records. Prev Med Rep. 2019;15: 100953. https://doi.org/10.1016/j.pmedr.2019.100953.CrossRefPubMedPubMedCentral

Title: Regional living conditions and the prevalence, awareness, treatment, control of hypertension at the individual level in Russia
Authors: Sergey Alekseevich Maksimov
Yulia A. Balanova
Svetlana A. Shalnova
Galina A. Muromtseva
Anna V. Kapustina
Oksana M. Drapkina
Publication date: 01-12-2022
Publisher: BioMed Central
Keywords: Hypertension
Hypertension
Published in: BMC Public Health / Issue 1/2022
Electronic ISSN: 1471-2458
DOI: https://doi.org/10.1186/s12889-022-12645-8

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Regional living conditions and the prevalence, awareness, treatment, control of hypertension at the individual level in Russia

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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