首页> 外文期刊>Journal of the Air & Waste Management Association >The relationship between daily cardiovascular mortality and daily ambient concentrations of particulate pollutants (sulfur, arsenic, selenium, and mercury) and daily source contributions from coal power plants and smelters (individually, combined, and with interaction) in Phoenix, AZ, 1995-1998: A multipollutant approach to acute, time-series air pollution epidemiology: Ⅰ
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The relationship between daily cardiovascular mortality and daily ambient concentrations of particulate pollutants (sulfur, arsenic, selenium, and mercury) and daily source contributions from coal power plants and smelters (individually, combined, and with interaction) in Phoenix, AZ, 1995-1998: A multipollutant approach to acute, time-series air pollution epidemiology: Ⅰ

机译:1995-1998年在亚利桑那州凤凰城,心血管疾病的每日死亡率与颗粒污染物(硫,砷,硒和汞)的每日环境浓度与燃煤电厂和冶炼厂的每日排放源的影响(单独,结合和相互作用)之间的关系:多种急性,时间序列空气污染流行病学方法:Ⅰ

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The objective of this paper is to estimate the increase in risk of daily cardiovascular mortality due to an increase in the daily ambient concentration of the individual particulate pollutants sulfur (S), arsenic (As), selenium (Se), and mercury (Hg) using single-pollutant models (SPMs) and to compare this risk to the combined increase in risk due to an increase in all four pollutants by including all four pollutants in the same model (multipollutant model, MPM) and to the risks from source contributions from power plants and smelters. Individual betas in a multipollutant model (MPM) were summed to give a combined beta. Interaction was investigated with a pollutant product term. SPMs (controlling for time trends, temperature, and relative humidity), for an interquartile range (IQR) increase in the pollutant concentration on lag day 0, gave these percent excess risks (±95% confidence levels): S, 6.9% (1.3-12%); As, 2.9% (0.4-5.5%); Se, 1.4% (-1.7 to 4.6); Hg, 9.6% (4.8-14.6%). The SPM beta for S (as sulfate) was higher than found in other studies. The SPM beta for Hg gave the largest t-statistic and beta per unit mass of any pollutant studied. An (IQR) increase in all four pollutants gave an excess risk of 15.4% (7.5-23.8%), slightly smaller than the combination of S and Hg, 16.7% (9.1-24.9%). The combined beta was 71% of the sum of the four individual SPM betas, indicating a reduction in confounding among pollutants in the combined model. As and Se were shown to be noncausal; their SPM betas could be explained as confounding by S.
机译:本文的目的是估算由于个别颗粒污染物硫,砷,硒和汞汞的每日环境浓度的增加而导致的每日心血管疾病死亡风险的增加。使用单一污染物模型(SPM),并通过将所有四种污染物纳入同一模型(多污染物模型,MPM)中,将这种风险与由于所有四种污染物的增加而导致的总风险增加进行比较,并与来自发电厂和冶炼厂。将多污染物模型(MPM)中的各个beta进行求和,得出合并的beta。用污染物产品术语研究了相互作用。 SPM(控制时间趋势,温度和相对湿度)在滞后第0天污染物浓度增加了四分位数范围(IQR)时,产生了以下百分比风险(±95%置信度):S,6.9%(1.3 -12%);如,2.9%(0.4-5.5%);硒1.4%(-1.7至4.6);汞9.6%(4.8-14.6%)。 S的SPM beta(以硫酸盐计)高于其他研究。汞的SPM beta提供了最大的t统计量和任何所研究污染物的每单位质量beta。所有四种污染物的(IQR)上升都带来了15.4%(7.5-23.8%)的超额风险,略低于S和Hg的组合16.7%(9.1-24.9%)。合并的beta是四个单独的SPM beta的总和的71%,表明在合并的模型中,污染物之间的混淆有所减少。 As和Se被证明是无因果的;他们的SPM beta可能被S解释为令人困惑。

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