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Fine Particulate Air Pollution and Mortality in Nine California Counties: Results from CALFINE

机译:加利福尼亚州9个县的细颗粒物空气污染和死亡率:CALFINE的结果

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摘要

Many epidemiologic studies provide evidence of an association between daily counts of mortality and ambient particulate matter < 10 μm in diameter (PM10). Relatively few studies, however, have investigated the relationship of mortality with fine particles [PM < 2.5 μm in diameter (PM2.5)], especially in a multicity setting. We examined associations between PM2.5 and daily mortality in nine heavily populated California counties using data from 1999 through 2002. We considered daily counts of all-cause mortality and several cause-specific subcategories (respiratory, cardiovascular, ischemic heart disease, and diabetes). We also examined these associations among several subpopulations, including the elderly (> 65 years of age), males, females, non-high school graduates, whites, and Hispanics. We used Poisson multiple regression models incorporating natural or penalized splines to control for covariates that could affect daily counts of mortality, including time, seasonality, temperature, humidity, and day of the week. We used meta-analyses using random-effects models to pool the observations in all nine counties. The analysis revealed associations of PM2.5 levels with several mortality categories. Specifically, a 10-μg/m3 change in 2-day average PM2.5 concentration corresponded to a 0.6% (95% confidence interval, 0.2–1.0%) increase in all-cause mortality, with similar or greater effect estimates for several other subpopulations and mortality subcategories, including respiratory disease, cardiovascular disease, diabetes, age > 65 years, females, deaths out of the hospital, and non-high school graduates. Results were generally insensitive to model specification and the type of spline model used. This analysis adds to the growing body of evidence linking PM2.5 with daily mortality.
机译:许多流行病学研究提供了每日死亡率计数与直径小于10μm的环境颗粒物(PM10)之间存在关联的证据。但是,相对很少的研究调查了死亡率与细颗粒[PM <2.5μm直径(PM2.5)]的关系,特别是在多城市环境中。我们使用1999年至2002年的数据检查了加利福尼亚州9个人口稠密县的PM2.5与每日死亡率之间的关联。我们考虑了全因死亡率的每日计数以及几种特定原因的亚类(呼吸系统,心血管,缺血性心脏病和糖尿病) 。我们还检查了几个亚人群中的这些关联,包括老年人(> 65岁),男性,女性,非高中毕业生,白人和西班牙裔。我们使用了包含自然或罚样条的Poisson多元回归模型来控制可能影响死亡率的每日计数的协变量,包括时间,季节,温度,湿度和星期几。我们使用荟萃分析,使用随机效应模型汇总了所有9个县的观察结果。分析显示PM2.5水平与几种死亡率类别相关。具体来说,两天平均PM2.5浓度变化10μg/ m 3 对应于全因死亡率增加0.6%(95%置信区间,0.2-1.0%),而对其他几个亚人群和死亡率亚类,包括呼吸系统疾病,心血管疾病,糖尿病,年龄> 65岁,女性,医院死亡和非高中毕业生,具有相似或更高的影响估计。结果通常对模型规格和所用样条模型的类型不敏感。这种分析增加了越来越多的证据将PM2.5与每日死亡率联系起来。

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