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Air pollution and lung cancer incidence; 17 European cohort studies within the ESCAPE project

机译:空气污染和肺癌发病率; 17欧洲队列在逃生项目内研究

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Background: Ambient air pollution, and in particular particulate matter (PM), is suspected to cause lung cancer. Aims: To estimate associations between long-term exposure to air pollution at the residence and lung cancer incidence in European populations. Methods: We used individual data from 17 European cohorts. Baseline addresses were geocoded and air pollution was assessed by land-use regression models for PM below 10 μm (PM10), below 2.5 μm (PM2.5), between 2.5 and 10 μm (PMcoarse), PM2.5absorbance, nitrogen oxides and two traffic indicators. We used Cox regression models with adjustment for potential confounders for cohort-specific analyses and random effects models for meta-analyses of the cohort-specific results. Results: We included 312,944 cohort members contributing 4,013,131 person-years at risk and 2095 incident lung cancer cases developed during the follow-up of on average 12.8 years. The meta-analyses showed that a 10 μg/m3 increase in PM10 was associated with a 22% (95% confidence interval [CI]: 3 to 45%) increase in risk for lung cancer, a 5 μg/m3 increase in PM2.5 was associated with an 18% (95% CI: -4 to 46%) increase in risk. Similar increments of PM10 and PM2.5, respectively, were associated with 49% (95% CI: 8 to 105%) and 55% (95% CI: 5 to 129%) increase in risk for adenocarcinomas of the lung. An increase in road traffic of 4000 vehicle-km/day within 100 m of the residence was associated with a 9% (95% CI: -1 to 21%) increase in risk for lung cancer. Associations between PM air pollution and lung cancer were also detected among never smokers. The results showed no association for nitrogen oxides or traffic on nearest street. Conclusions: This study showed associations between particulate matter air pollution and lung cancer incidence in Europe.
机译:背景:无疑是颗粒状物质(PM)的环境空气污染,可疑引起肺癌。旨在:估计长期暴露于欧洲群体住宅和肺癌发病率的空气污染之间的关联。方法:我们使用17个欧洲队列的个人数据。基线地址是Geocoded的,通过低于10μm(PM10)的PM以下PM的土地使用回归模型评估空气污染,低于2.5μm(PM2.5),在2.5和10μm(PMCOASSE),PM2.5absorbance,氮氧化物和两个之间交通指标。我们使用Cox回归模型进行调整,用于群体特定分析和随机效果模型的潜在混淆,用于群体分析的群体分析。结果:我们包括312,944名队列成员,其中包括4,013,131人的风险,2095例入射肺癌病例平均在12.8年间发展。荟萃分析表明,PM10的10μg/ m 3增加与22%(95%置信区间[CI]:3至45%)增加肺癌的风险增加,PM2增加5μg/ m3。 5与18%(95%CI:-4至46%)相关的风险增加。 PM10和PM2.5的类似增量分别与49%(95%CI:8至105%)相关,55%(95%CI:5至129%)肺癌腺癌的风险增加。在居住范围内的100米范围内的4000辆Km /天的道路交通增加与肺癌风险增加9%(95%CI:-1至21%)。在从不吸烟者之间也发现了PM空气污染和肺癌之间的关联。结果表明,在最近的街道上没有氮氧化物或交通的关联。结论:本研究表明核心空气污染与欧洲肺癌发病率之间的关联。

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