ArticleRisk management and healthcare policy2023
Cardiovascular Disease in China: Socioeconomic Status Variation in Prevalence.
Article in Risk management and healthcare policy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- The evolving burden of ischemic heart disease in China, 1990-2023: Three decades of trends, risk factors, and future challenges.American journal of preventive cardiology · 2026Article
- Associations Between Fatigue, Knowledge, Self-Management, and Self-Efficacy Among Community-Dwelling Patients with Stable Coronary Heart Disease in Pingdingshan, China: A Cross-Sectional Study.Journal of multidisciplinary healthcare · 2026Article
- Evaluation of Population-Based Sodium Reduction Strategies in China: Protocol for a Study Using a Combined Quantitative and Qualitative Approach.Journal of clinical hypertension (Greenwich, Conn.) · 2025Article
- Longitudinal associations between socioeconomic status and cardiovascular disease in a Chinese population: Evidence from CHARLS.PloS one · 2025Article
- A Global Perspective on Socioeconomic Determinants of Cardiovascular Health.The Canadian journal of cardiology · 2025Review
- Social survey on knowledge, attitude and practice of hypertrophic cardiomyopathy.Frontiers in cardiovascular medicine · 2025Article
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Authors and funding
6 authors.
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Abstract
Introduction: Cardiovascular disease is the single largest contributor to global mortality and the leading cause of both death and premature death in China. Data on the association between cardiovascular disease and socioeconomic status are sparse, especially for Asian countries. Our study collected data to describe the socioeconomic status variation across cardiovascular disease using a large nationwide cross-sectional study. Methods: We chose participants using the cluster sampling method, prepared a face-to-face questionnaire interview for the selected community residents, and collected information on health conditions, socioeconomic status, demographics, and comorbidities. All collected data were reported as frequencies and corresponding percentages. Linear regression and simple and multivariable logistic regression were performed to identify the prevalence variation. All statistical analyses were performed using SPSS version 26 software. Results: Socioeconomic information was available for 394,688 participants (covering most provincial districts). The prevalence of cardiovascular disease was 7.9%. The prevalence was higher in rural areas than that in urban areas (rural, 8.4%; urban, 7.5%). There was a negative relationship between urbanization and cardiovascular disease prevalence. Furthermore, cardiovascular disease prevalence had a negative relationship with average earnings. Conclusion: This cross-sectional analysis of socioeconomic status variation in the prevalence of cardiovascular disease in China showed a significant negative relationship between regional and individual socioeconomic status and cardiovascular disease. The results imply that governments would benefit communities by focusing on effective and targeted interventions for prevention, screening, and treatment in individuals who may be in the socioeconomic status with a high risk for cardiovascular disease.
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