Association between Ideal Cardiovascular Health Metrics and Suboptimal Health Status in Chinese Population

Youxin Wang1, Xiaoxue Liu2, Jing Qiu3

  • 1Beijing Key Laboratory of Clinical Epidemiology, School of Public Health, Capital Medical University, Beijing, 100069, China.

Scientific Reports
|November 5, 2017
PubMed

Insights

Maintaining ideal cardiovascular health (CVH) metrics is linked to a lower prevalence of suboptimal health status (SHS). This association aids in classifying cardiovascular disease risk and prevention strategies.

Area of Science:

  • Cardiology
  • Public Health
  • Preventive Medicine

Background:

  • Suboptimal health status (SHS) represents a state between health and illness.
  • Previous research indicates SHS is associated with key cardiovascular health (CVH) metrics defined by the American Heart Association (AHA).

Purpose of the Study:

  • To investigate the association between SHS and ideal CVH metrics.
  • To explore the potential of combined SHS and CVH evaluation for cardiovascular disease (CVD) risk classification and prevention.

Main Methods:

  • Cross-sectional analysis of the China suboptimal health cohort study (COACS).
  • Included 4313 participants aged 18-65 years.
  • Statistical analysis adjusted for age, gender, marital status, alcohol consumption, income, and education.

Main Results:

  • A decreasing trend in SHS prevalence was observed across increasing quartiles of ideal CVH metrics (P for trend = 0.012).
  • Participants in the highest quartile of ideal CVH metrics had a significantly lower likelihood of optimal SHS score (OR, 0.43; 95% CI, 0.32-0.59).
  • Smoking, physical inactivity, poor diet, and uncontrolled blood pressure were significantly correlated with increased SHS risk.

Conclusions:

  • Ideal CVH metrics are associated with a reduced prevalence of SHS.
  • Integrating SHS and CVH metrics can enhance cardiovascular disease risk stratification.
  • This combined approach offers a promising strategy for cardiovascular disease prevention.

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