Department of Civil Engineering, University of Strathclyde, Glasgow, United Kingdom.
Environ Health Perspect. 2012 Sep;120(9):1280-5. doi: 10.1289/ehp.1104509. Epub 2012 Jun 6.
Air pollution-mortality risk estimates are generally larger at longer-term, compared with short-term, exposure time scales.
We compared associations between short-term exposure to black smoke (BS) and mortality with long-term exposure-mortality associations in cohort participants and with short-term exposure-mortality associations in the general population from which the cohorts were selected.
We assessed short-to-medium-term exposure-mortality associations in the Renfrew-Paisley and Collaborative cohorts (using nested case-control data sets), and compared them with long-term exposure-mortality associations (using a multilevel spatiotemporal exposure model and survival analyses) and short-to-medium-term exposure-mortality associations in the general population (using time-series analyses).
For the Renfrew-Paisley cohort (15,331 participants), BS exposure-mortality associations were observed in nested case-control analyses that accounted for spatial variations in pollution exposure and individual-level risk factors. These cohort-based associations were consistently greater than associations estimated in time-series analyses using a single monitoring site to represent general population exposure {e.g., 1.8% [95% confidence interval (CI): 0.1, 3.4%] vs. 0.2% (95% CI: 0.0, 0.4%) increases in mortality associated with 10-μg/m³ increases in 3-day lag BS, respectively}. Exposure-mortality associations were of larger magnitude for longer exposure periods [e.g., 3.4% (95% CI: -0.7, 7.7%) and 0.9% (95% CI: 0.3, 1.5%) increases in all-cause mortality associated with 10-μg/m³ increases in 31-day BS in case-control and time-series analyses, respectively; and 10% (95% CI: 4, 17%) increase in all-cause mortality associated with a 10-μg/m³ increase in geometic mean BS for 1970-1979, in survival analysis].
After adjusting for individual-level exposure and potential confounders, short-term exposure-mortality associations in cohort participants were of greater magnitude than in comparable general population time-series study analyses. However, short-term exposure-mortality associations were substantially lower than equivalent long-term associations, which is consistent with the possibility of larger, more persistent cumulative effects from long-term exposures.
与短期暴露相比,空气污染-死亡率风险估计通常在长期暴露时间尺度上更大。
我们比较了队列参与者中短期暴露于黑烟尘(BS)与死亡率之间的关联,以及与从队列中选择的一般人群中短期暴露与死亡率之间的关联。
我们评估了 Renfrew-Paisley 和协作队列中的短期至中期暴露与死亡率之间的关联(使用嵌套病例对照数据集),并将其与长期暴露与死亡率之间的关联(使用多层次时空暴露模型和生存分析)以及一般人群中的短期至中期暴露与死亡率之间的关联(使用时间序列分析)进行了比较。
对于 Renfrew-Paisley 队列(15331 名参与者),BS 暴露与死亡率的关联在嵌套病例对照分析中得到了观察,该分析考虑了污染暴露和个体水平危险因素的空间变化。这些基于队列的关联始终大于使用单个监测站点代表一般人群暴露的时间序列分析中估计的关联{例如,与 3 天滞后 BS 增加 10μg/m³相关的死亡率分别增加 1.8%(95%置信区间[CI]:0.1,3.4%)和 0.2%(95% CI:0.0,0.4%)}。对于较长的暴露期,暴露-死亡率关联的幅度更大[例如,与 31 天 BS 增加 10μg/m³相关的全因死亡率分别增加 3.4%(95% CI:-0.7,7.7%)和 0.9%(95% CI:0.3,1.5%),以及与 31 天 BS 增加 10μg/m³相关的全因死亡率增加 10%(95% CI:4,17%),在病例对照和时间序列分析中,几何平均值 BS 增加 10μg/m³;在生存分析中,与 1970-1979 年 BS 增加 10μg/m³相关的全因死亡率增加 10%}。
在调整个体暴露和潜在混杂因素后,队列参与者中的短期暴露与死亡率之间的关联幅度大于可比的一般人群时间序列研究分析。然而,短期暴露与死亡率之间的关联大大低于等效的长期关联,这与长期暴露产生更大、更持久的累积影响的可能性一致。