Interface Demography, Department of Sociology, Vrije Universiteit Brussel, Brussels, Belgium.
Institute for Risk Assessment Sciences, Utrecht University, Utrecht, the Netherlands.
Sci Total Environ. 2022 Jan 15;804:150091. doi: 10.1016/j.scitotenv.2021.150091. Epub 2021 Sep 4.
Ambient air pollution exposure has been associated with higher mortality risk in numerous studies. We assessed potential variability in the magnitude of this association for non-accidental, cardiovascular disease, respiratory disease, and lung cancer mortality in a country-wide administrative cohort by exposure assessment method and by adjustment for geographic subdivisions.
We used the Belgian 2001 census linked to population and mortality register including nearly 5.5 million adults aged ≥30 (mean follow-up: 9.97 years). Annual mean concentrations for fine particulate matter (PM), nitrogen dioxide (NO), black carbon (BC) and ozone (O) were assessed at baseline residential address using two exposure methods; Europe-wide hybrid land use regression (LUR) models [100x100m], and Belgium-wide interpolation-dispersion (RIO-IFDM) models [25x25m]. We used Cox proportional hazards models with age as the underlying time scale and adjusted for various individual and area-level covariates. We further adjusted main models for two different area-levels following the European Nomenclature of Territorial Units for Statistics (NUTS); NUTS-1 (n = 3), or NUTS-3 (n = 43).
We found no consistent differences between both exposure methods. We observed most robust associations with lung cancer mortality. Hazard Ratios (HRs) per 10 μg/m increase for NO were 1.060 (95%CI 1.042-1.078) [hybrid LUR] and 1.040 (95%CI 1.022-1.058) [RIO-IFDM]. Associations with non-accidental, respiratory disease and cardiovascular disease mortality were generally null in main models but were enhanced after further adjustment for NUTS-1 or NUTS-3. HRs for non-accidental mortality per 5 μg/m increase for PM for the main model using hybrid LUR exposure were 1.023 (95%CI 1.011-1.035). After including random effects HRs were 1.044 (95%CI 1.033-1.057) [NUTS-1] and 1.076 (95%CI 1.060-1.092) [NUTS-3].
Long-term air pollution exposure was associated with higher lung cancer mortality risk but not consistently with the other studied causes. Magnitude of associations varied by adjustment for geographic subdivisions, area-level socio-economic covariates and less by exposure assessment method.
大量研究表明,暴露于环境空气中会增加死亡率。我们通过暴露评估方法和对地理细分的调整,评估了在全国行政队列中,这种关联的幅度在非意外、心血管疾病、呼吸疾病和肺癌死亡率方面的潜在变化。
我们使用了比利时 2001 年的人口普查数据,与包括近 550 万 30 岁以上成年人的人口和死亡率登记册相关联(平均随访时间:9.97 年)。使用两种暴露方法评估了细颗粒物(PM)、二氧化氮(NO)、黑碳(BC)和臭氧(O)的年平均浓度:欧洲混合土地利用回归(LUR)模型[100x100m]和比利时范围内的插值-扩散(RIO-IFDM)模型[25x25m]。我们使用 Cox 比例风险模型,以年龄为基础时间尺度,并调整了各种个体和区域水平的协变量。我们进一步根据欧洲领土单位统计命名法(NUTS)的两个不同区域水平调整了主要模型;NUTS-1(n=3)或 NUTS-3(n=43)。
我们没有发现两种暴露方法之间存在一致的差异。我们观察到与肺癌死亡率最密切的关联。NO 每增加 10μg/m 的危险比(HR)分别为 1.060(95%CI 1.042-1.078)[混合 LUR]和 1.040(95%CI 1.022-1.058)[RIO-IFDM]。在主要模型中,与非意外、呼吸疾病和心血管疾病死亡率的关联通常为零,但在进一步调整 NUTS-1 或 NUTS-3 后,这些关联得到了增强。在使用混合 LUR 暴露的主要模型中,PM 每增加 5μg/m 的非意外死亡率的 HR 为 1.023(95%CI 1.011-1.035)。在纳入随机效应后,HR 分别为 1.044(95%CI 1.033-1.057)[NUTS-1]和 1.076(95%CI 1.060-1.092)[NUTS-3]。
长期暴露于空气污染与肺癌死亡率升高有关,但与其他研究原因并不一致。关联的幅度因地理细分、区域水平社会经济协变量的调整以及暴露评估方法的调整而有所不同。