Using an Exposome-Wide Approach to Explore the Impact of Urban Environments on Blood Pressure among Adults in Beijing-Tianjin-Hebei and Surrounding Areas of China

被引:9
|
作者
Song, Jian [1 ,2 ]
Du, Peng [3 ]
Yi, Weizhuo [1 ,2 ]
Wei, Jing [4 ]
Fang, Jianlong [3 ]
Pan, Rubing [1 ,2 ]
Zhao, Feng [3 ]
Zhang, Yi [3 ]
Xu, Zhiwei [5 ]
Sun, Qinghua [3 ]
Liu, Yingchun [3 ]
Chen, Chen [3 ]
Cheng, Jian [1 ,2 ]
Lu, Yifu [3 ]
Li, Tiantian [3 ]
Su, Hong [1 ,2 ]
Shi, Xiaoming [3 ]
机构
[1] Anhui Med Univ, Sch Publ Hlth, Dept Epidemiol & Hlth Stat, Hefei 230031, Anhui, Peoples R China
[2] Inflammat & Immune Mediated Dis Lab Anhui Prov, Hefei 230031, Anhui, Peoples R China
[3] Chinese Ctr Dis Control & Prevent, Natl Inst Environm Hlth, China CDC Key Lab Environm & Populat Hlth, Beijing 100021, Peoples R China
[4] Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA
[5] Univ Queensland, Fac Med, Sch Publ Hlth, Brisbane, Qld 4006, Australia
关键词
urban exposome; blood pressure; air pollution; built environment; NEIGHBORHOOD WALKABILITY; AIR-POLLUTION; ASSOCIATION; HYPERTENSION; EXPOSURE; HEALTH; SPACE;
D O I
10.1021/acs.est.1c08327
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Existing studies mostly explored the association between urban environmental exposures and blood pressure (BP) in isolation, ignoring correlations across exposures. This study aimed to systematically evaluate the impact of a wide range of urban exposures on BP using an exposome-wide approach. A multicenter cross-sectional study was conducted in ten cities of China. For each enrolled participant, we estimated their urban exposures, including air pollution, built environment, surrounding natural space, and road traffic indicator. On the whole, this study comprised three statistical analysis steps, that is, single exposure analysis, multiple exposure analysis and a cluster analysis. We also used deletion-substitution-addition algorithm to conduct variable selection. After considering multiple exposures, for hypertension risk, most significant associations in single exposure model disappeared, with only neighborhood walkability remaining negatively statistically significant. Besides, it was observed that SBP (systolic BP) raised gradually with the increase in PM2.5, but such rising pattern slowed down when PM2.5 concentration reached a relatively high level. For surrounding natural spaces, significant protective associations between green and blue spaces with BP were found. This study also found that high population density and public transport accessibility have beneficially significant association with BP. Additionally, with the increase in the distance to the nearest major road, DBP (diastolic BP) decreased rapidly. When the distance was beyond around 200 m, however, there was no obvious change to DBP anymore. By cluster analysis, six clusters of urban exposures were identified. These findings reinforce the importance of improving urban design, which help promote healthy urban environments to optimize human BP health.
引用
收藏
页码:8395 / 8405
页数:11
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