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Long-Term Exposure to Source-Specific Fine Particles and Mortality─A Pooled Analysis of 14 European Cohorts within the ELAPSE Project
Environmental Science & Technology ( IF 10.8 ) Pub Date : 2022-06-23 , DOI: 10.1021/acs.est.2c01912
Jie Chen 1 , Gerard Hoek 1 , Kees de Hoogh 2, 3 , Sophia Rodopoulou 4 , Zorana J Andersen 5 , Tom Bellander 6, 7 , Jørgen Brandt 8, 9 , Daniela Fecht 10 , Francesco Forastiere 11, 12 , John Gulliver 10, 13 , Ole Hertel 14 , Barbara Hoffmann 15 , Ulla Arthur Hvidtfeldt 16 , W M Monique Verschuren 17, 18 , Karl-Heinz Jöckel 19 , Jeanette T Jørgensen 5 , Klea Katsouyanni 4, 12 , Matthias Ketzel 8, 20 , Diego Yacamán Méndez 21, 22 , Karin Leander 6 , Shuo Liu 5 , Petter Ljungman 6, 23 , Elodie Faure 24 , Patrik K E Magnusson 25 , Gabriele Nagel 26 , Göran Pershagen 6, 7 , Annette Peters 27, 28 , Ole Raaschou-Nielsen 8, 16 , Debora Rizzuto 29 , Evangelia Samoli 4 , Yvonne T van der Schouw 18 , Sara Schramm 19 , Gianluca Severi 24, 30 , Massimo Stafoggia 6, 11 , Maciej Strak 1, 17 , Mette Sørensen 16, 31 , Anne Tjønneland 5, 16 , Gudrun Weinmayr 26 , Kathrin Wolf 27 , Emanuel Zitt 32, 33 , Bert Brunekreef 1 , George D Thurston 34
Affiliation  

We assessed mortality risks associated with source-specific fine particles (PM2.5) in a pooled European cohort of 323,782 participants. Cox proportional hazard models were applied to estimate mortality hazard ratios (HRs) for source-specific PM2.5 identified through a source apportionment analysis. Exposure to 2010 annual average concentrations of source-specific PM2.5 components was assessed at baseline residential addresses. The source apportionment resulted in the identification of five sources: traffic, residual oil combustion, soil, biomass and agriculture, and industry. In single-source analysis, all identified sources were significantly positively associated with increased natural mortality risks. In multisource analysis, associations with all sources attenuated but remained statistically significant with traffic, oil, and biomass and agriculture. The highest association per interquartile increase was observed for the traffic component (HR: 1.06; 95% CI: 1.04 and 1.08 per 2.86 μg/m3 increase) across five identified sources. On a 1 μg/m3 basis, the residual oil-related PM2.5 had the strongest association (HR: 1.13; 95% CI: 1.05 and 1.22), which was substantially higher than that for generic PM2.5 mass, suggesting that past estimates using the generic PM2.5 exposure response function have underestimated the potential clean air health benefits of reducing fossil-fuel combustion. Source-specific associations with cause-specific mortality were in general consistent with findings of natural mortality.

中文翻译:


长期接触特定来源的细颗粒物与死亡率 — ELAPSE 项目中 14 个欧洲队列的汇总分析



我们在欧洲 323,782 名参与者中评估了与特定来源细颗粒 (PM 2.5 ) 相关的死亡风险。应用 Cox 比例风险模型来估算通过源分配分析确定的特定源 PM 2.5的死亡风险比 (HR)。在基准住宅地址评估了 2010 年特定源 PM 2.5成分的年平均浓度暴露情况。源解析确定了五个来源:交通、渣油燃烧、土壤、生物质和农业和工业。在单一来源分析中,所有已确定的来源均与自然死亡风险增加显着正相关。在多源分析中,与所有来源的关联减弱,但在交通、石油、生物质和农业方面仍然具有统计显着性。在五个已确定的来源中,观察到每四分位间增加的最高关联性是流量成分(HR:1.06;95% CI:每增加 2.86 μg/m 3分别为 1.04 和 1.08)。以 1 μg/m 3为基础,与残油相关的 PM 2.5具有最强的关联性(HR:1.13;95% CI:1.05 和 1.22),远高于一般 PM 2.5质量的关联性,这表明过去的估计使用通用 PM 2.5暴露响应函数低估了减少化石燃料燃烧对清洁空气健康的潜在益处。特定来源与特定原因死亡率的关联总体上与自然死亡率的发现一致。
更新日期:2022-06-23
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