Neighborhood Socioeconomic Status and the Prevalence of Stroke and Coronary Heart Disease in Rural China: A Population-Based Study

Author:

Tang Xun1,Laskowitz Daniel T.23,He Liu4,Østbye Truls5,Bettger Janet Prvu36,Cao Yang4,Li Na7,Li Jingrong8,Zhang Zongxin8,Liu Jianjiang7,Yu Liping7,Xu Haitao7,Hu Yonghua1,Goldstein Larry B.29

Affiliation:

1. Department of Epidemiology and Biostatistics, Peking University Health Science Center, Beijing, China

2. Department of Neurology, Duke University Medical Center, Durham, NC, USA

3. Duke Clinical Research Institute, Duke University Medical Center, Durham, NC, USA

4. Division of Non-Communicable Disease Control and Community Health, Chinese Center for Disease Control and Prevention, Beijing, China

5. Duke Global Health Institute, Duke University Medical Center, Durham, NC, USA

6. Duke School of Nursing, Duke University Medical Center, Durham, NC, USA

7. Fangshan District Bureau of Health, Beijing, China

8. First Hospital of Fangshan District, Beijing, China

9. Durham Veterans Affairs Medical Center, Durham, NC, USA

Abstract

Background Lower neighborhood-level socioeconomic status (SES) is associated with an increased risk of vascular disease in developed countries. Aims This study aims to identify village- and individual-level determinants of stroke and coronary heart disease (CHD) in a rural Chinese population. Methods We analyzed data from a population-based survey of 14 424 rural Chinese adults aged over 40 years from 54 villages. Primary outcomes were stroke and coronary heart disease (CHD) prevalence. Village-level SES was determined from the Chinese government's official statistical yearbook. Individual-level characteristics were obtained by in-person interviews. Prevalence rate ratios (RRs) and 95% confidence intervals (95% CIs) were calculated using generalized linear mixed models with log-link function to explore associations of village-level SES and individual social, demographic, and cardiovascular risk factors with stroke or CHD. Variance was expressed using the median rate ratio (MRR) and interval rate ratio (IRR). Results Village accounted for significant variability in the prevalence of stroke (MRR = 1·70; 95% CI: 1·42–1·94; P < 0·05) and CHD (MRR = 1·59; 95% CI: 1·35–1·78, P < 0·05), with village-level income alone accounting for 10% and 13·5% of between-village variation in stroke and CHD, respectively. High-income villages were at higher risk of both stroke (RR = 1·69, 95% CI: 1·09–2·62) and CHD (RR = 1·63, 95% CI: 1·13–2·34) than lower-income villages. Among individual-level risk factors, hypertension was associated with a higher prevalence of stroke (RR = 2·33, 95% CI: 1·93–2·80) than CHD (RR = 1·58, 95% CI: 1·38–1·82), whereas obesity was only associated with CHD (RR = 1·43, 95% CI: 1·23–1·66). In addition, there was an interaction between age and income; residents of higher-income villages below age 60 had a higher prevalence of CHD (RR = 1·58, 95% CI: 1·15–2·18) but not stroke. Conclusions There were differences in vascular risk across rural villages in China, with higher lifetime stroke and CHD prevalence in higher-income villages. For CHD, neighborhood effects were stronger among younger residents of high-income villages. The results may have implications for public health interventions targeting populations at risk.

Publisher

SAGE Publications

Subject

Neurology

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