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KEY POLLUTANTS - THE IMPACT ON HEALTH

机译:关键污染物-对健康的影响

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Air pollution is not a problem of the past. Though the concentrations of many air pollutants continue to fall in the UK they still have a significant impact on health. How large this impact is has only been realised during the past ten or so years. That levels of pollutants, that are low in comparison to levels recorded in the 1950s and earlier, continue to damage health has come as an unwelcome surprise to many, including policy makers. Explaining how low concentrations of pollutants affect health is a challenge to the research community: mechanisms of effect are beginning to appear but much remains to be discovered. Current appreciations of the effect on health of classical air pollutants including nitrogen dioxide, sulphur dioxide, particulate matter, carbon monoxide and ozone, depend upon modern techniques of epidemiological research. These techniques, which are powerful and able to detect small effects, depend upon the power of modern computers and, though the theory was understood, their application was not possible for most research workers before about 1980. The methods involve handling large data sets and the application of complex methods of regression analysis. Dealing statistically with the many confounding factors that obscure and interact with the effects on health of air pollutants is possible using these methods. Early concerns about the adequacy of handling confounding factors have recently been allayed.
机译:空气污染不是过去的问题。尽管英国许多空气污染物的浓度持续下降,但它们仍然对健康产生重大影响。仅在过去十年左右的时间里才意识到这种影响有多大。与1950年代及更早时期记录的污染物水平相比,污染物水平持续低下,继续损害健康,这对包括政策制定者在内的许多人来说都是令人不受欢迎的惊喜。解释低浓度的污染物如何影响健康是研究界的一个挑战:作用机理已开始出现,但仍有很多待发现。当前对包括二氧化氮,二氧化硫,颗粒物,一氧化碳和臭氧在内的经典空气污染物对健康的影响的认识取决于流行病学研究的现代技术。这些技术功能强大且能够检测到很小的影响,取决于现代计算机的功能,尽管理论得到了理解,但对于大约1980年之前的大多数研究人员来说,它们的应用是不可能的。这些方法涉及处理大数据集和应用复杂的回归分析方法。使用这些方法,可以统计地处理混淆和影响空气污染物健康影响的许多混杂因素。最近已经消除了对处理混杂因素是否足够的早期关注。

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