Introduction: Cardiovascular disease (CVD) continues to pose a significant burden among the elderly population in China. There is a knowledge gap in the temporal trends, regional variations and socioeconomic inequalities among this vulnerable population.
Methods: This study conducted cross-sectional and cohort analyses based on four survey waves of the China Health and Retirement Longitudinal Study among adults aged ≥60 years spanning 2011-2018 across 28 provinces. Cross-sectional analyses examined temporal trends, regional variations and socioeconomic inequalities in CVD prevalence. Cohort analyses identified individuals without CVD in 2011 and followed them up until 2018 to calculate CVD incidence. Generalised estimating equations (GEE) were employed to identify associated factors.
Results: A total of 5451, 7258, 8820 and 11 393 participants were eligible for cross-sectional analyses, and 4392 and 5396 participants were included in cohort analyses of CVD and comorbid CVD. In 2018, the age-adjusted and sex-adjusted prevalence of CVD and comorbid CVD was 31.21% (95% CI 27.25% to 35.17%) and 3.83% (95% CI 2.85% to 4.81%), respectively. Trend analyses revealed a significant increase in the adjusted prevalence from 2011 to 2018 (p for trend <0.001). There were substantial provincial variations in the adjusted prevalence of CVD and comorbid CVD. Higher socioeconomic status (SES) participants exhibited higher prevalence, and the concentration curves and concentration indices suggested persistent but narrowing inequalities in CVD and comorbid CVD across survey waves. Cohort analyses from 2011 to 2018 yielded overall CVD and comorbid CVD incidence densities of 17.96 and 2.65 per 1000 person-years, respectively. GEE results indicated increased CVD risks among older individuals, women, higher SES participants and northern residents.
Conclusion: More efforts should be taken to optimise strategies for high-quality CVD prevention and management in China's elderly population. Future interventions and policies should address age-specific and gender-specific, geographical, and socioeconomic disparities to ensure equitable access and outcomes for all.
Keywords: Cardiovascular disease; Descriptive study; Epidemiology; Indices of health and disease and standardisation of rates; Public Health.
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.