Mixtures of long-term exposure to ambient air pollution, built environment and temperature and stroke incidence across Europe

环境科学 空气污染 入射(几何) 冲程(发动机) 环境卫生 污染 期限(时间) 空气污染物 环境工程 环境保护 医学 工程类 化学 机械工程 生态学 物理 光学 生物 有机化学 量子力学
作者
Jeroen de Bont,Regina Pickford,Christopher Åström,Fabian Colomar,Konstantina Dimakopoulou,Kees de Hoogh,Dorina Ibi,Klea Katsouyanni,Erik Melén,Federica Nobile,Göran Pershagen,Åsa Persson,Evangelia Samoli,Massimo Stafoggia,Cathryn Tonne,Jelle Vlaanderen,Kathrin Wolf,Roel Vermeulen,Annette Peters,Petter Ljungman
出处
期刊:Environment International [Elsevier BV]
卷期号:179: 108136-108136
标识
DOI:10.1016/j.envint.2023.108136
摘要

The complex interplay of multiple environmental factors and cardiovascular has scarcely been studied. Within the EXPANSE project, we evaluated the association between long-term exposure to multiple environmental indices and stroke incidence across Europe. Participants from three traditional adult cohorts (Germany, Netherlands and Sweden) and four administrative cohorts (Catalonia [region Spain], Rome [city-wide], Greece and Sweden [nationwide]) were followed until incident stroke, death, migration, loss of follow-up or study end. We estimated exposures at residential addresses from different exposure domains: air pollution (nitrogen dioxide (NO2), particulate matter <2.5μm (PM2.5), black carbon (BC), ozone), built environment (green/blue spaces, impervious surfaces) and meteorology (seasonal mean and standard deviation of temperatures). Associations between environmental exposures and stroke were estimated in single and multiple-exposure Cox proportional hazard models, and Principal Component (PC) Analyses derived prototypes for specific exposures domains. We carried out random effects meta-analyses by cohort type. In over 15 million participants, increased levels of NO2 and BC were associated with increased higher stroke incidence in both cohort types. Increased Normalized Difference Vegetation Index (NDVI) was associated with a lower stroke incidence in both cohort types, whereas an increase in impervious surface was associated with an increase in stroke incidence. The first PC of the air pollution domain (PM2.5, NO2 and BC) was associated with an increase in stroke incidence. For the built environment, higher levels of NDVI and lower levels of impervious surfaces were associated with a protective effect [%change in HR per 1 unit = -2.0 (95%CI, -5.9;2.0) and -1.1(95%CI, -2.0;-0.3) for traditional adult and administrative cohorts, respectively]. No clear patterns were observed for distance to blue spaces or temperature parameters. We observed increased HRs for stroke with exposure to PM2.5, NO2 and BC, lower levels of greenness and higher impervious surface in single and combined exposure models.
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