Electronic Resource
Disentangling associations between multiple environmental exposures and all-cause mortality: an analysis of European administrative and traditional cohorts
| العنوان: | Disentangling associations between multiple environmental exposures and all-cause mortality: an analysis of European administrative and traditional cohorts |
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| المؤلفون: | Dimakopoulou, Konstantina, Nobile, Federica, de Bont, Jeroen, Wolf, Kathrin, Vienneau, Danielle, Ibi, Dorina, Coloma, Fabián, Pickford, Regina, Åström, Christofer, Sommar, Johan Nilsson, Kasdagli, Maria-Iosifina, Souliotis, Kyriakos, Tsolakidis, Anastasios, Tonne, Cathryn, Melén, Erik, Ljungman, Petter, de Hoogh, Kees, Vermeulen, Roel C H, Vlaanderen, Jelle J, Katsouyanni, Klea, Stafoggia, Massimo, Samoli, Evangelia |
| المصدر: | Frontiers in epidemiology vol.3 (2024) date: 2024-01-11 [ISSN 2674-1199] |
| بيانات النشر: | 2024 |
| نوع الوثيقة: | Electronic Resource |
| مستخلص: | BACKGROUND: We evaluated the independent and joint effects of air pollution, land/built environment characteristics, and ambient temperature on all-cause mortality as part of the EXPANSE project.METHODS: We collected data from six administrative cohorts covering Catalonia, Greece, the Netherlands, Rome, Sweden, and Switzerland and three traditional cohorts in Sweden, the Netherlands, and Germany. Participants were linked to spatial exposure estimates derived from hybrid land use regression models and satellite data for: air pollution [fine particulate matter (PM 2.5), nitrogen dioxide (NO₂), black carbon (BC), warm season ozone (O 3)], land/built environment [normalized difference vegetation index (NDVI), distance to water, impervious surfaces], and ambient temperature (the mean and standard deviation of warm and cool season temperature). We applied Cox proportional hazard models accounting for several cohort-specific individual and area-level variables. We evaluated the associations through single and multiexposure models, and interactions between exposures. The joint effects were estimated using the cumulative risk index (CRI). Cohort-specific hazard ratios (HR) were combined using random-effects meta-analyses. RESULTS: We observed over 3.1 million deaths out of approximately 204 million person-years. In administrative cohorts, increased exposure to PM 2.5, NO 2, and BC was significantly associated with all-cause mortality (pooled HRs: 1.054, 1.033, and 1.032, respectively). We observed an adverse effect of increased impervious surface and mean season-specific temperature, and a protective effect of increased O 3, NDVI, distance to water, and temperature variation on all-cause mortality. The effects of PM 2.5 were higher in areas with lower (10th percentile) compared to higher (90th percentile) NDVI levels [pooled HRs: 1.054 (95% confidence interval (CI) 1.030-1.079) vs. 1.038 (95% CI 0.964-1.118)]. A similar pattern was observed for NO 2. The CRI |
| مصطلحات الفهرس: | administrative cohorts, traditional adult cohorts, all-cause mortality, external exposome, airpollution, NDVI, ambient temperature, Article |
| URL: | |
| الاتاحة: | Open access content. Open access content info:eu-repo/semantics/openAccess |
| ملاحظة: | DOI: 10.3389/fepid.2023.1328188 English |
| Other Numbers: | QGJ oai:research-portal.uu.nl:publications/cbb381e6-1086-460f-8141-d285872fda84 1445834532 |
| المصدر المساهم: | UNIVERSITEIT UTRECHT From OAIster®, provided by the OCLC Cooperative. |
| رقم الانضمام: | edsoai.on1445834532 |
| قاعدة البيانات: | OAIster |
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