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Area-level socioeconomic inequalities in mortality in China: a nationwide cohort study based on the ChinaHEART project

Wenyao Peng, Siqi Lin, Bo-Wang Chen, Xue-Ke Bai, Chaoqun Wu, Xiao-Yan Zhang, Yang Yang, Jian-Lan Cui et al.

Lancet Public Health, 2024

14 citations

Abstract

BACKGROUND

Socioeconomic status is a key social determinant of health. Compared with individual-level socioeconomic status, the association between area-level socioeconomic status and mortality has not been well investigated in China. We aimed to assess associations between area-level socioeconomic status and all-cause mortality and cause-specific mortality in China, as well as the interplay of area-level and individual-level socioeconomic status on mortality.

METHODS

In this nationwide cohort study, residents aged 35-75 years from 453 districts and counties were included in the China Health Evaluation and Risk Reduction Through Nationwide Teamwork (ChinaHEART) Study. The composite value of area-level socioeconomic status was generated from national census data and categorised into tertiles. Mortality rates and their 95% CIs were calculated using the Clopper-Pearson method. Cox frailty models were fitted to calculate adjusted hazard ratios and 95% CIs for area-level socioeconomic status with the risk of all-cause mortality and cause-specific mortality and their disparities across different population. We also assessed the roles of multiple individual factors as potential mediators.

FINDINGS

Between December, 2015, and December, 2022, 1 119 027 participants were included, for whom the mean age was 56·1 (SD 9·9) years and 672 385 (60·1%) were female. 24 426 (5·24 [95% CI 5·18-5·31] per 1000 person-years) deaths occurred during the median 4·5-year follow-up. Compared with high…

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Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence.

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