4.8 Article

Worldwide Exposures to Cardiovascular Risk Factors and Associated Health Effects Current Knowledge and Data Gaps

Journal

CIRCULATION
Volume 133, Issue 23, Pages 2314-+

Publisher

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/CIRCULATIONAHA.115.008718

Keywords

disease prevention; epidemiology; global health; population surveillance; risk factors

Funding

  1. UK Medical Research Council (MRC)
  2. Wellcome Trust
  3. UK MRC
  4. Public Health England
  5. NIHR Biomedical Research Center at Imperial College Healthcare NHS Trust and Imperial College London
  6. NIHR Health Protection Research Unit on Health Effects of Environmental Hazards
  7. Medical Research Council [MR/L01341X/1] Funding Source: researchfish
  8. National Institute for Health Research [NF-SI-0611-10136] Funding Source: researchfish
  9. MRC [MR/L01341X/1] Funding Source: UKRI

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Information on exposure to, and health effects of, cardiovascular disease (CVD) risk factors is needed to develop effective strategies to prevent CVD events and deaths. Here, we provide an overview of the data and evidence on worldwide exposures to CVD risk factors and the associated health effects. Global comparative risk assessment studies have estimated that hundreds of thousands or millions of CVD deaths are attributable to established CVD risk factors (high blood pressure and serum cholesterol, smoking, and high blood glucose), high body mass index, harmful alcohol use, some dietary and environmental exposures, and physical inactivity. The established risk factors plus body mass index are collectively responsible for approximate to 9.7 million annual CVD deaths, with high blood pressure accounting for more CVD deaths than any other risk factor. Age-standardized CVD death rates attributable to established risk factors plus high body mass index are lowest in high-income countries, followed by Latin America and the Caribbean; they are highest in the region of central and eastern Europe and central Asia. However, estimates of the health effects of CVD risk factors are highly uncertain because there are insufficient population-based data on exposure to most CVD risk factors and because the magnitudes of their effects on CVDs in observational studies are likely to be biased. We identify directions for research and surveillance to better estimate the effects of CVD risk factors and policy options for reducing CVD burden by modifying preventable risk factors.

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