Isfahan University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share By
Modifiable Risk Factors, Cardiovascular Disease, and Mortality in 155 722 Individuals From 21 High-Income, Middle-Income, and Low-Income Countries (Pure): A Prospective Cohort Study Publisher Pubmed



Yusuf S1 ; Joseph P1 ; Rangarajan S1 ; Islam S1 ; Mente A1 ; Hystad P2 ; Brauer M3 ; Kutty VR4 ; Gupta R5 ; Wielgosz A6 ; Alhabib KF7 ; Dans A8 ; Lopezjaramillo P9, 10 ; Avezum A11 Show All Authors
Authors
  1. Yusuf S1
  2. Joseph P1
  3. Rangarajan S1
  4. Islam S1
  5. Mente A1
  6. Hystad P2
  7. Brauer M3
  8. Kutty VR4
  9. Gupta R5
  10. Wielgosz A6
  11. Alhabib KF7
  12. Dans A8
  13. Lopezjaramillo P9, 10
  14. Avezum A11
  15. Lanas F12
  16. Oguz A13
  17. Kruger IM14
  18. Diaz R15
  19. Yusoff K16, 17
  20. Mony P18
  21. Chifamba J19
  22. Yeates K20
  23. Kelishadi R21
  24. Yusufali A22
  25. Khatib R23, 24
  26. Rahman O25
  27. Zatonska K26
  28. Iqbal R27
  29. Wei L28
  30. Bo H28
  31. Rosengren A29
  32. Kaur M30
  33. Mohan V31, 32
  34. Lear SA33
  35. Teo KK1
  36. Leong D1
  37. Odonnell M34
  38. Mckee M35
  39. Dagenais G36

Source: The Lancet Published:2020


Abstract

Background: Global estimates of the effect of common modifiable risk factors on cardiovascular disease and mortality are largely based on data from separate studies, using different methodologies. The Prospective Urban Rural Epidemiology (PURE) study overcomes these limitations by using similar methods to prospectively measure the effect of modifiable risk factors on cardiovascular disease and mortality across 21 countries (spanning five continents) grouped by different economic levels. Methods: In this multinational, prospective cohort study, we examined associations for 14 potentially modifiable risk factors with mortality and cardiovascular disease in 155 722 participants without a prior history of cardiovascular disease from 21 high-income, middle-income, or low-income countries (HICs, MICs, or LICs). The primary outcomes for this paper were composites of cardiovascular disease events (defined as cardiovascular death, myocardial infarction, stroke, and heart failure) and mortality. We describe the prevalence, hazard ratios (HRs), and population-attributable fractions (PAFs) for cardiovascular disease and mortality associated with a cluster of behavioural factors (ie, tobacco use, alcohol, diet, physical activity, and sodium intake), metabolic factors (ie, lipids, blood pressure, diabetes, obesity), socioeconomic and psychosocial factors (ie, education, symptoms of depression), grip strength, and household and ambient pollution. Associations between risk factors and the outcomes were established using multivariable Cox frailty models and using PAFs for the entire cohort, and also by countries grouped by income level. Associations are presented as HRs and PAFs with 95% CIs. Findings: Between Jan 6, 2005, and Dec 4, 2016, 155 722 participants were enrolled and followed up for measurement of risk factors. 17 249 (11·1%) participants were from HICs, 102 680 (65·9%) were from MICs, and 35 793 (23·0%) from LICs. Approximately 70% of cardiovascular disease cases and deaths in the overall study population were attributed to modifiable risk factors. Metabolic factors were the predominant risk factors for cardiovascular disease (41·2% of the PAF), with hypertension being the largest (22·3% of the PAF). As a cluster, behavioural risk factors contributed most to deaths (26·3% of the PAF), although the single largest risk factor was a low education level (12·5% of the PAF). Ambient air pollution was associated with 13·9% of the PAF for cardiovascular disease, although different statistical methods were used for this analysis. In MICs and LICs, household air pollution, poor diet, low education, and low grip strength had stronger effects on cardiovascular disease or mortality than in HICs. Interpretation: Most cardiovascular disease cases and deaths can be attributed to a small number of common, modifiable risk factors. While some factors have extensive global effects (eg, hypertension and education), others (eg, household air pollution and poor diet) vary by a country's economic level. Health policies should focus on risk factors that have the greatest effects on averting cardiovascular disease and death globally, with additional emphasis on risk factors of greatest importance in specific groups of countries. Funding: Full funding sources are listed at the end of the paper (see Acknowledgments). © 2020 Elsevier Ltd
Other Related Docs