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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.
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.
Abstract:
Suboptimal health status (SHS) is a physical state between health and illness, and previous studies suggested that SHS is associated with majority components of cardiovascular health metrics defined by American Heart Association (AHA). We investigated the association between SHS and cardiovascular health metrics in a cross-sectional analysis of China suboptimal health cohort study (COACS) consisting of 4313 participants (60.30% women) aged from 18 to 65 years old. The respective prevalence of SHS is 7.10%, 9.18%, 10.04% and 10.62% in the first, second, third and fourth quartiles of ideal cardiovascular health (CVH) metrics (P for trend = 0.012). Participants in the largest quartile of ideal CVH metrics show a lower likelihood of having optimal SHS score compared to those in the smallest quartile (odds ratio (OR), 0.43; 95% confidence interval (CI), 0.32-0.59), after adjusting for age, gender, marital status, alcohol consumption, income level and education. Four metrics (smoking, physical inactivity, poor dietary intake and ideal control of blood pressure are significantly correlated with the risk of SHS. The present study suggests that ideal CVH metrics are associated with a lower prevalence of SHS, and the combined evaluation of SHS and CVH metrics allows the risk classification of cardiovascular disease, and thus consequently contributes to the prevention of cardiovascular diseases.
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