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首页> 外文期刊>Archives of environmental health >Short-term effects of air pollution on mortality in the cities of Rouen and Le Havre, France, 1990-1995.
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Short-term effects of air pollution on mortality in the cities of Rouen and Le Havre, France, 1990-1995.

机译:1990年至1995年,法国鲁昂和勒阿弗尔市空气污染对死亡率的短期影响。

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摘要

In this study, the authors examined the short-term effects of ambient air pollution on mortality across 2 French cities: Rouen and Le Havre. In Poisson regression models, which controlled for day-of-week effects, the authors used nonparametric smoothing to control for temporal trend, weather, and influenza epidemics. In Rouen, an interquartile range increase of 60.5-94.1 microg/m3 of ozone was associated with an increase of 4.1% (95% confidence interval = 0.6, 7.8) of total mortality. Daily variations in sulfur dioxide (interquartile range increase = 17.6-36.4 microg/m3) were also associated with an 8.2% increase (95% confidence interval = 0.4, 16.6) in respiratory mortality. An increase of 6.1% (95% confidence interval = 1.5, 10.9) of cardiovascular mortality was also observed with an interquartile range increase of nitrogen dioxide (i.e., 25.3-42.2 microg/m3). With respect to Le Havre, an interquartile range increase in daily levels of sulfur dioxide (11.3-35.6 microg/m3) was associated with an increase of approximately 3% (95% confidence interval = 0.8, 5) of cardiovascular mortality. For particulate matter less than or equal to 13 microm in diameter (interquartile increase = 21.5, 45.4 microg/m3), an increase of 6.2% (95% confidence interval = 0.1, 12.8) was observed. The estimates of pollutant effects and their standard deviations were slightly affected by the degree of smoothing temporal variations in this study. When low collinearity was present, the 2-pollutant models provided acceptable estimates of pollutant effects. They suggested that the ozone effect was independent of the Black Smoke effect, and that the effects of sulfur dioxide and nitrogen dioxide were unlikely to be confounded by ozone concentrations. However, high collinearity leads to large estimates of the pollutant coefficient variances and, therefore, leads to inaccurate estimates of pollutant effects. The analysis of the contributory effects of different pollutant mixtures requires further investigation in those instances in which high collinearity between pollutants is present.
机译:在这项研究中,作者研究了周围的空气污染对法国两个城市鲁昂和勒阿弗尔的死亡率的短期影响。在控制星期几影响的泊松回归模型中,作者使用非参数平滑控制时间趋势,天气和流感流行。在鲁昂,臭氧的六分位数间距增加60.5-94.1 microg / m3与总死亡率增加4.1%(95%置信区间= 0.6、7.8)相关。二氧化硫的每日变化(四分位数间距增加= 17.6-36.4 microg / m3)也与呼吸道疾病死亡率增加8.2%(95%置信区间= 0.4、16.6)相关。随着二氧化氮的四分位数间距增加(即25.3-42.2 microg / m3),心血管死亡率也增加了6.1%(95%置信区间= 1.5,10.9)。关于勒阿弗尔(Le Havre),二氧化硫的每日水平(11.3-35.6 microg / m3)的四分位数范围增加与心血管死亡率的增加约3%(95%置信区间= 0.8、5)有关。对于直径小于或等于13微米的颗粒物(四分位间距增加= 21.5,45.4 microg / m3),观察到增加了6.2%(95%置信区间= 0.1,12.8)。在这项研究中,污染物影响及其标准偏差的估计值受时间变化平滑程度的影响很小。当存在低共线性时,2-污染物模型可提供可接受的污染物影响估计。他们认为,臭氧效应与黑烟效应无关,并且二氧化硫和二氧化氮的效应不太可能与臭氧浓度混淆。但是,高共线性导致对污染物系数方差的大量估计,因此,导致对污染物影响的估计不准确。在污染物之间存在高共线性的情况下,需要对不同污染物混合物的贡献效应进行分析。

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