Cardiovascular Health Score and the Risk of Cardiovascular Diseases

PLoS One. 2015 Jul 8;10(7):e0131537. doi: 10.1371/journal.pone.0131537. eCollection 2015.

Abstract

In 2010 the American Heart Association proposed a definition of ideal health behaviors and health factors to measure cardiovascular health, from which Huffman et al. created the Cardiovascular Health Score (CVH score) to estimate these metrics on an individual level. We performed a prospective cohort study among employees of the Kailuan Group Corporation, who underwent a physical examination in 2006-2007 to investigate the relationship between the CVH score and the risk of cardiovascular disease (CVD). A total of 91,598 individuals free of stroke and myocardial infarction at baseline were included in the final analysis. We calculated baseline CVH score for each metric (poor=0, intermediate=1, ideal=2 points; range=0-14 points for all seven metrics) and categorized them into three groups: inadequate (0-4 points), average (5-9 points), and optimum (10-14 points). Incidence of total number of CVD events, myocardial infarction, and stroke was analyzed among these three groups and each incremental point on the CVH score. During an average 6.81 years of follow-up, there were 3276 CVD events, 2579 strokes and 747 myocardial infarction occurred. After adjusting for several confounding factors, each better health category of the CVH score was associated with reduced odds of 47% for all CVD events, and each point higher on the CVH score was associated with reduced odds of 18%. Similar trends were detected in the risks for myocardial infarction and stroke. A higher CVH score is therefore a protective factor for CVD, myocardial infarction, and stroke.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cardiovascular Diseases / epidemiology*
  • China / epidemiology
  • Female
  • Health Status*
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Myocardial Infarction / epidemiology
  • Risk Factors
  • Stroke / epidemiology

Associated data

  • Dryad/10.5061/DRYAD.G9D7K/1

Grants and funding

This work is supported by grants from the National Natural Science Foundation of China (No. 81270346; URLs: (http://www.nsfc.gov.cn/); YX received the funding), and the Projects of Science and Technology Plans of Guangdong Province (No. 2009B030801310; URLs: (http://pro.gdstc.gov.cn/egrantweb/); CY received the funding). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.