Maynard Dan, Coull Brent A, Gryparis Alexandros, Schwartz Joel
Department of Biostatistics, Harvard School of Public Health, Boston, MA 02215, USA.
Environ Health Perspect. 2007 May;115(5):751-5. doi: 10.1289/ehp.9537. Epub 2007 Jan 29.
Many studies have shown that airborne particles are associated with increased risk of death, but attention has more recently focused on the differential toxicity of particles from different sources. Geographic information system (GIS) approaches have recently been used to improve exposure assessment, particularly for traffic particles, but only for long-term exposure.
We analyzed approximately 100,000 deaths from all, cardiovascular, and respiratory causes for the years 1995-2002 using a case-crossover analysis.
Estimates of exposure to traffic particles were geocoded to the address of each decedent on the day before death and control days, with these estimates derived from a GIS-based exposure model incorporating deterministic covariates, such as traffic density and meteorologic factors, and a smooth function of latitude and longitude.
We estimate that an IQR increase in traffic particle exposure on the day before death is associated with a 2.3% increase [95% confidence interval (CI), 1.2 to 3.4%] in all-cause mortality risk. Stroke deaths were particularly elevated (4.4%; 95% CI, -0.2 to 9.3%), as were diabetes deaths (5.7%; 95% CI, -1.7 to 13.7%). Sulfate particles are spatially homogeneous, and using a central monitor, we found that an IQR increase in sulfate levels on the day before death is associated with a 1.1% (95% CI, 0.1 to 2.0%) increase in all-cause mortality risk.
Both traffic and powerplant particles are associated with increased deaths in Boston, with larger effects for traffic particles.
许多研究表明,空气中的颗粒物与死亡风险增加有关,但最近的注意力更多地集中在不同来源颗粒物的差异毒性上。地理信息系统(GIS)方法最近已被用于改进暴露评估,特别是对于交通颗粒物,但仅用于长期暴露。
我们使用病例交叉分析,分析了1995年至2002年期间约10万例全因、心血管和呼吸系统疾病导致的死亡病例。
将交通颗粒物暴露估计值地理编码到每个死者死亡前一天和对照日的地址,这些估计值来自基于GIS的暴露模型,该模型纳入了确定性协变量,如交通密度和气象因素,以及纬度和经度的平滑函数。
我们估计,死亡前一天交通颗粒物暴露增加一个四分位间距,全因死亡风险增加2.