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

Abstract

Objectives: This study aims to investigate the impact of hypertension, diabetes, and high blood cholesterol on increased mortality from cardiovascular diseases such as coronary heart disease, stroke, and pulmonary heart disease in a multi-dimensional way. Methods: The grey relational analysis methodology is adopted to assess the connection between cardiac risk factors and related mortality. The Hurwicz and the Conservative (Min-Max) criterion approach are also utilized to identify the prospective risk factor that contributes the most to increased cardiac mortality. Results: The findings reveal that hypertension has a more grounded relationship with stroke and pulmonary heart disease mortality, whereas high blood cholesterol appears to be the leading contributor to deaths from coronary heart disease. The results based on the Hurwicz and the Min-Max criterion show a robust connection between dyslipidemia, coronary heart disease, and cardiovascular disease mortality. Conclusion: Combating uncontrolled blood cholesterol and blood pressure levels would necessitate a multi-pronged strategy at both the national and local levels. Besides, the suggested methodologies provide a valuable tool and additional practical knowledge for public health policymakers and decision-makers in drawing rational decisions to combat China's rising CVD burden.

Keywords: CVD; diabetes; grey relational models; high blood cholesterol; hypertension; mortality.