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Mixtures of long-term exposure to ambient air pollution, built environment and temperature and stroke incidence across Europe
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4700019
Author(s) de Bont, J.; Pickford, R.; Åström, C.; Colomar, F.; Dimakopoulou, K.; de Hoogh, K.; Ibi, D.; Katsouyanni, K.; Melén, E.; Nobile, F.; Pershagen, G.; Persson, A.; Samoli, E.; Stafoggia, M.; Tonne, C.; Vlaanderen, J.; Wolf, K.; Vermeulen, R.; Peters, A.; Ljungman, P.
Author(s) at UniBasel de Hoogh, Kees
Year 2023
Title Mixtures of long-term exposure to ambient air pollution, built environment and temperature and stroke incidence across Europe
Journal Environment international
Volume 179
Pages / Article-Number 108136
Keywords Air pollution; Green space; Meta-analysis; Multiple environmental exposures; Stroke; Urban exposome; competing financial interests or personal relationships that could have appeared; to influence the work reported in this paper.
Mesh terms Adult; Humans; Air Pollution, adverse effects; Built Environment; Europe, epidemiology; Incidence; Nitrogen Dioxide, adverse effects; Stroke, epidemiology; Temperature
Abstract INTRODUCTION: 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. METHODS: 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 (NO(2)), particulate matter < 2.5 mum (PM(2.5)), 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. RESULTS: In over 15 million participants, increased levels of NO(2) 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 (PM(2.5), NO(2) 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. CONCLUSIONS: We observed increased HRs for stroke with exposure to PM(2.5), NO(2) and BC, lower levels of greenness and higher impervious surface in single and combined exposure models.
ISSN/ISBN 0160-4120
URL https://doi.org/10.1016/j.envint.2023.108136
edoc-URL https://edoc.unibas.ch/95949/
Full Text on edoc Available
Digital Object Identifier DOI 10.1016/j.envint.2023.108136
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/37598594
ISI-Number WOS:001064117900001
Document type (ISI) Journal Article
 
   

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