Abstract 4366025: Association of education inequalities with premature cardiovascular mortality and its metabolic mediators: evidence from a nationwide cohort study

Background: Educational inequality is associated with a higher risk of mortality. However, studies exploring its association with premature cardiovascular disease (CVD) mortality and the potential mediating mechanisms remain limited. Purpose: To examine the association between educational inequality and premature CVD mortality, explore its heterogeneity across subgroups, and assess the mediating roles of risk factors. Population attributable fractions will be estimated for specific mediation pathways. Methods: Based on the ChinaHEART (Health Evaluation And risk Reduction through nationwide Teamwork), a nationwide, population-based cohort study, 1,884,487 participants living in 20,159 communities or villages were passively followed for death records. Standardized face-to-face interviews was conducted by trained personnel to collect baseline information on educational attainment and other socioeconomic characteristics, lifestyle factors and medical history. Educational was classified into four categories: primary school or below, middle school, high school, and college or above. The Cox frailty models were fitted to calculate adjusted hazard ratios (HRs) and 95% CIs with the site as a random effect, assessing the association between education and the risk of premature CVD mortality and its variations across different subgroups. We explored the potential mediating role of individual factors and calculated pathway-specific population attributable fractions for the identified mediators. Results: During the follow-up with a median of 5 years, 8,276 premature CVD mortality cases were confirmed. Compared to participants with college or above, individuals with high school were significantly associated with an increased risk of premature CVD mortality (HR=1.42, 95% CI: 1.22-1.65), individuals with middle school education were 1.49 (1.29-1.72), and individuals with elementary school or below were 1.88 (1.62-2.19). Stronger associations were observed among women and rural populations. The association between education and premature CVD mortality was mediated by a history of hypertension, dyslipidemia, abnormal body weight (including underweight, overweight, and obesity), and smoking, with hypertension contributing the most and accounted for the largest PAF. Conclusion: Educational inequality was significantly associated with an increased risk of premature CVD mortality, with a history of hypertension, dyslipidemia, abnormal body weight, and smoking acting as mediators.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4366025
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4366025: Association of education inequalities with premature cardiovascular mortality and its metabolic mediators: evidence from a nationwide cohort study

Zhe Zheng, Yiqun Wu, Runsi Wang, Chunqi Wang
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 4366025: Association of education inequalities with premature cardiovascular mortality and its metabolic mediators: evidence from a nationwide cohort study

Zhe Zheng, Yiqun Wu, Runsi Wang, Chunqi Wang
article en

Abstract

Background: Educational inequality is associated with a higher risk of mortality. However, studies exploring its association with premature cardiovascular disease (CVD) mortality and the potential mediating mechanisms remain limited. Purpose: To examine the association between educational inequality and premature CVD mortality, explore its heterogeneity across subgroups, and assess the mediating roles of risk factors. Population attributable fractions will be estimated for specific mediation pathways. Methods: Based on the ChinaHEART (Health Evaluation And risk Reduction through nationwide Teamwork), a nationwide, population-based cohort study, 1,884,487 participants living in 20,159 communities or villages were passively followed for death records. Standardized face-to-face interviews was conducted by trained personnel to collect baseline information on educational attainment and other socioeconomic characteristics, lifestyle factors and medical history. Educational was classified into four categories: primary school or below, middle school, high school, and college or above. The Cox frailty models were fitted to calculate adjusted hazard ratios (HRs) and 95% CIs with the site as a random effect, assessing the association between education and the risk of premature CVD mortality and its variations across different subgroups. We explored the potential mediating role of individual factors and calculated pathway-specific population attributable fractions for the identified mediators. Results: During the follow-up with a median of 5 years, 8,276 premature CVD mortality cases were confirmed. Compared to participants with college or above, individuals with high school were significantly associated with an increased risk of premature CVD mortality (HR=1.42, 95% CI: 1.22-1.65), individuals with middle school education were 1.49 (1.29-1.72), and individuals with elementary school or below were 1.88 (1.62-2.19). Stronger associations were observed among women and rural populations. The association between education and premature CVD mortality was mediated by a history of hypertension, dyslipidemia, abnormal body weight (including underweight, overweight, and obesity), and smoking, with hypertension contributing the most and accounted for the largest PAF. Conclusion: Educational inequality was significantly associated with an increased risk of premature CVD mortality, with a history of hypertension, dyslipidemia, abnormal body weight, and smoking acting as mediators.

CirculationVol. 152(Suppl_3)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Fu Wai Hospital (CN)
Openalex Percentile: Top 50%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.