Health Analysis Division, Statistics Canada, Ottawa, Ontario, Canada.
Department of Sociology, University of New Brunswick, Fredericton, New Brunswick, Canada.
Environ Health Perspect. 2019 Oct;127(10):107008. doi: 10.1289/EHP5204. Epub 2019 Oct 22.
Ambient fine particulate air pollution with aerodynamic diameter () is an important contributor to the global burden of disease. Information on the shape of the concentration-response relationship at low concentrations is critical for estimating this burden, setting air quality standards, and in benefits assessments.
We examined the concentration-response relationship between and nonaccidental mortality in three Canadian Census Health and Environment Cohorts (CanCHECs) based on the 1991, 1996, and 2001 census cycles linked to mobility and mortality data.
Census respondents were linked with death records through 2016, resulting in 8.5 million adults, 150 million years of follow-up, and 1.5 million deaths. Using annual mailing address, we assigned time-varying contextual variables and 3-y moving-average ambient at a spatial resolution from 1988 to 2015. We ran Cox proportional hazards models for adjusted for eight subject-level indicators of socioeconomic status, seven contextual covariates, ozone, nitrogen dioxide, and combined oxidative potential. We used three statistical methods to examine the shape of the concentration-response relationship between and nonaccidental mortality.
The mean 3-y annual average estimate of exposure ranged from 6.7 to over the three cohorts. We estimated a hazard ratio (HR) of 1.053 [95% confidence interval (CI): 1.041, 1.065] per change in after pooling the three cohort-specific hazard ratios, with some variation between cohorts (1.041 for the 1991 and 1996 cohorts and 1.084 for the 2001 cohort). We observed a supralinear association in all three cohorts. The lower bound of the 95% CIs exceeded unity for all concentrations in the 1991 cohort, for concentrations above in the 1996 cohort, and above in the 2001 cohort.
In a very large population-based cohort with up to 25 y of follow-up, was associated with nonaccidental mortality at concentrations as low as . https://doi.org/10.1289/EHP5204.
空气动力学直径小于等于 2.5 微米的细颗粒物(PM2.5)是造成全球疾病负担的一个重要因素。在评估疾病负担、制定空气质量标准和进行效益评估时,了解低浓度下浓度-反应关系的形状至关重要。
我们基于 1991 年、1996 年和 2001 年的人口普查周期,对三个加拿大人口健康与环境队列(CanCHEC)中 PM2.5 与非意外死亡率之间的浓度-反应关系进行了研究,这三个队列都与流动性和死亡率数据相联系。
通过 2016 年的死亡记录,将普查受访者与死亡记录相联系,共纳入 850 万成年人,随访时间为 1.5 亿人年,死亡人数为 150 万。根据每年的邮件地址,我们将时间变化的环境变量和 3 年移动平均的 PM2.5 浓度以 空间分辨率分配给从 1988 年到 2015 年的环境。我们使用 Cox 比例风险模型对调整了 8 项个体社会经济地位指标、7 项环境协变量、臭氧、二氧化氮和综合氧化潜力的 进行了分析。我们使用了三种统计方法来检验 PM2.5 与非意外死亡率之间的浓度-反应关系的形状。
在三个队列中,PM2.5 暴露的 3 年平均年平均估计值范围从 6.7 到 。在汇总三个队列特定风险比后,我们估计 PM2.5 每变化 会导致 风险增加 1.053[95%置信区间(CI):1.041,1.065],但在不同队列之间存在一定差异(1991 年和 1996 年队列为 1.041,2001 年队列为 1.084)。在所有三个队列中,我们都观察到了一种超线性关联。在 1991 年队列中,所有浓度的 95%CI 下限都超过 1,在 1996 年队列中,浓度超过 时,在 2001 年队列中,浓度超过 时,下限也都超过 1。
在一项随访时间长达 25 年的大型基于人群的队列研究中,PM2.5 与低浓度的非意外死亡率有关。https://doi.org/10.1289/EHP5204.