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The effect of living environmental factors on cardiovascular diseases in Chinese adults: results from a cross-sectional and longitudinal study

医学 环境卫生 危险系数 置信区间 纵向研究 横断面研究 队列研究 比例危险模型 风险因素 逻辑回归 老年学 人口学 内科学 病理 社会学
作者
Yaowen Yang,Limin Cao,Yang Xia,Jian Li
出处
期刊:European Journal of Preventive Cardiology [Oxford University Press]
卷期号:30 (11): 1063-1073 被引量:18
标识
DOI:10.1093/eurjpc/zwac304
摘要

This study aimed to investigate the association between multiple living environmental factors and cardiovascular diseases (CVDs).This study was conducted on the China Health and Retirement Longitudinal Study (CHARLS), with 12 489 subjects in the cross-sectional study and 7932 subjects in the 7-year follow-up. Living environmental factors included ambient fine particulate matter (PM2.5), indoor fuel use, tap water use, and residence type. Logistic regression and Cox proportional hazard regression models were applied to explore the association between living environmental risk factors and CVD events in a cross-sectional and a cohort analysis, respectively. Compared with subjects in the low-risk groups, those in the middle-risk (odd ratio [OR], 95% confidence interval [CI]: 1.203, 0.943-1.534) and high-risk groups (OR, 95% CI: 1.616, 1.259-2.074) showed increased risks of CVD prevalence when considering the combined effects of their living environment. During the follow-up, similar associations were observed (hazard ratio [HR], 1.541, 95% CI [1.142-2.080] for the high-risk group; HR 1.296, 95% CI [0.968-1.736] for the middle-risk group); P for trend = 0.003).An overall poor living environmental quality is a potential risk factor for CVD. Future studies should focus more on the effects of exposure to multiple factors.The aim of this study was to investigate the association between multiple living environmental risk factors and CVD in China, given that the synergistic effects of multiple environmental factors on human health were unclear.Living environmental risk factors included ambient PM2.5, indoor fuel use, tap water use, and residence type. Poor living environmental quality was positively dose-response to the risk of CVD.
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