Variability in the association between long-term exposure to ambient air pollution and mortality by exposure assessment method and covariate adjustment: A census-based country-wide cohort study

人口普查 期限(时间) 空气污染 环境卫生 队列 环境科学 联想(心理学) 统计 人口学 协变量 地理 医学 人口 数学 心理学 生态学 生物 物理 社会学 量子力学 心理治疗师
作者
Mariska Bauwelinck,Jie Chen,Kees de Hoogh,Klea Katsouyanni,Sophia Rodopoulou,Evangelia Samoli,Zorana Jovanovic Andersen,Richard Atkinson,Lídia Casas,Patrick Deboosere,Claire Demoury,Nicole Janssen,Jochem O. Klompmaker,Wouter Lefebvre,Amar Mehta,Tim S. Nawrot,Bente Oftedal,Matteo Renzi,Massimo Stafoggia,Maciek Strak
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:804: 150091-150091 被引量:42
标识
DOI:10.1016/j.scitotenv.2021.150091
摘要

Abstract Background 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. Methods 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 (PM2.5), nitrogen dioxide (NO2), black carbon (BC) and ozone (O3) 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). Results We found no consistent differences between both exposure methods. We observed most robust associations with lung cancer mortality. Hazard Ratios (HRs) per 10 μg/m3 increase for NO2 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/m3 increase for PM2.5 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]. Conclusion 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.
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