Cardiovascular Disease Mortality and Potential Risk Factor in China: A Multi-Dimensional Assessment by a Grey...

Area of Science:

• Public Health
• Epidemiology
• Cardiovascular Research

Background:

• Cardiovascular diseases (CVDs) pose a significant global health challenge.
• Hypertension, diabetes, and high blood cholesterol are established risk factors for CVDs.
• Understanding the differential impact of these risk factors on specific CVD mortality is crucial for targeted interventions.

Purpose of the Study:

• To investigate the multi-dimensional impact of hypertension, diabetes, and high blood cholesterol on mortality from coronary heart disease, stroke, and pulmonary heart disease.
• To identify the primary risk factor contributing to increased cardiac mortality using advanced analytical methods.

Main Methods:

• Grey relational analysis was employed to assess the association between cardiac risk factors and mortality.
• Hurwicz and Conservative (Min-Max) criterion approaches were utilized to pinpoint the most significant risk factor.

Main Results:

• Hypertension demonstrated a strong link with mortality from stroke and pulmonary heart disease.
• High blood cholesterol was identified as the leading contributor to coronary heart disease mortality.
• Dyslipidemia showed a robust association with coronary heart disease and overall cardiovascular disease mortality.

Conclusions:

• A multi-pronged national and local strategy is essential to manage uncontrolled blood cholesterol and blood pressure.
• The applied methodologies offer valuable insights for public health policymakers to combat the rising CVD burden.
• Evidence-based decision-making is critical for effective CVD prevention and control programs.