Danish Cancer Society Research Center, Strandboulevarden 49, 2100 Copenhagen, Denmark.
CESP, UMR 1018, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy.
Environ Int. 2021 Jan;146:106249. doi: 10.1016/j.envint.2020.106249. Epub 2020 Nov 13.
BACKGROUND/AIM: Ambient air pollution has been associated with lung cancer, but the shape of the exposure-response function - especially at low exposure levels - is not well described. The aim of this study was to address the relationship between long-term low-level air pollution exposure and lung cancer incidence.
The "Effects of Low-level Air Pollution: a Study in Europe" (ELAPSE) collaboration pools seven cohorts from across Europe. We developed hybrid models combining air pollution monitoring, land use data, satellite observations, and dispersion model estimates for nitrogen dioxide (NO), fine particulate matter (PM), black carbon (BC), and ozone (O) to assign exposure to cohort participants' residential addresses in 100 m by 100 m grids. We applied stratified Cox proportional hazards models, adjusting for potential confounders (age, sex, calendar year, marital status, smoking, body mass index, employment status, and neighborhood-level socio-economic status). We fitted linear models, linear models in subsets, Shape-Constrained Health Impact Functions (SCHIF), and natural cubic spline models to assess the shape of the association between air pollution and lung cancer at concentrations below existing standards and guidelines.
The analyses included 307,550 cohort participants. During a mean follow-up of 18.1 years, 3956 incident lung cancer cases occurred. Median (Q1, Q3) annual (2010) exposure levels of NO, PM, BC and O (warm season) were 24.2 µg/m (19.5, 29.7), 15.4 µg/m (12.8, 17.3), 1.6 10m (1.3, 1.8), and 86.6 µg/m (78.5, 92.9), respectively. We observed a higher risk for lung cancer with higher exposure to PM (HR: 1.13, 95% CI: 1.05, 1.23 per 5 µg/m). This association was robust to adjustment for other pollutants. The SCHIF, spline and subset analyses suggested a linear or supra-linear association with no evidence of a threshold. In subset analyses, risk estimates were clearly elevated for the subset of subjects with exposure below the EU limit value of 25 µg/m. We did not observe associations between NO, BC or O and lung cancer incidence.
Long-term ambient PM exposure is associated with lung cancer incidence even at concentrations below current EU limit values and possibly WHO Air Quality Guidelines.
背景/目的: 空气污染与肺癌有关,但暴露-反应函数的形状(尤其是在低暴露水平下)尚未得到很好的描述。本研究旨在探讨长期低水平空气污染暴露与肺癌发病率之间的关系。
“低水平空气污染的影响:欧洲研究”(ELAPSE)合作研究汇集了来自欧洲各地的七个队列。我们开发了混合模型,将空气污染监测、土地利用数据、卫星观测和二氧化氮(NO)、细颗粒物(PM)、黑碳(BC)和臭氧(O)的扩散模型估算值相结合,为每个队列参与者的居住地址分配 100m×100m 网格的暴露情况。我们应用分层 Cox 比例风险模型,调整潜在混杂因素(年龄、性别、日历年、婚姻状况、吸烟、体重指数、就业状况和邻里社会经济地位)。我们拟合了线性模型、线性模型子集、形状约束健康影响函数(SCHIF)和自然三次样条模型,以评估在现有标准和指南以下的浓度范围内,空气污染与肺癌之间的关联形状。
分析包括 307550 名队列参与者。在平均 18.1 年的随访期间,发生了 3956 例肺癌病例。2010 年(暖季)NO、PM、BC 和 O 的年平均(中位数(Q1、Q3))暴露水平分别为 24.2µg/m(19.5、29.7)、15.4µg/m(12.8、17.3)、1.610m(1.3、1.8)和 86.6µg/m(78.5、92.9)。我们观察到 PM 暴露水平较高与肺癌风险增加相关(HR:1.13,95%CI:1.05,1.23 每 5µg/m)。这种关联在调整其他污染物后仍然稳健。SCHIF、样条和子集分析表明,呈线性或超线性关联,无阈值证据。在子集分析中,暴露水平低于欧盟 25µg/m 限值的受试者子集的风险估计值明显升高。我们没有观察到 NO、BC 或 O 与肺癌发病率之间的关联。
即使在低于当前欧盟限值和可能的世卫组织空气质量指南的浓度下,长期环境 PM 暴露也与肺癌发病率有关。