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重新评估美国城市社区臭氧与短期死亡率之间的关系。

Reassessing the relationship between ozone and short-term mortality in U.S. urban communities.

机构信息

Statistics and Operations Research, University of North Carolina, Chapel Hill, NC 27599-3260, USA.

出版信息

Inhal Toxicol. 2009 Sep;21 Suppl 2:37-61. doi: 10.1080/08958370903161612.

Abstract

Time-series studies that use daily mortality and ambient ozone concentrations exhibit estimates of ozone effects that are variable across cities. We investigate this intercity variability, as well as the sensitivity of the ozone- mortality associations to modeling assumptions and choice of daily ozone metric, based on reanalysis of data from the National Morbidity, Mortality and Air Pollution Study (NMMAPS). Previous work from NMMAPS reported a statistically significant association between ambient 24-h ozone and short-term mortality when averaged across 98 U.S. cities. Separation of ozone health associations from effects due to weather and co-pollutants is central to their interpretation. We examined the sensitivity of city-specific ozone-mortality estimates to adjustments for confounders and effect modifiers, showing substantial sensitivity. We examined ozone-mortality associations in different concentration ranges, finding a larger incremental effect in higher ranges, but also larger uncertainty. Alternative ozone exposure metrics defined by maximum 8-h averages or 1-h maxima show different ozone-mortality associations that cannot be explained by simple scaling relationships. The emphasis in earlier studies based on NMMAPS has been on the reporting of "national" effects, together with prediction intervals that suggest that these national values are precisely estimated. Our view is that ozone-mortality associations, based on time-series epidemiologic analyses of daily data from multiple cities, reveal still-unexplained inconsistencies and show sensitivity to modeling choices and data selection that contribute to serious uncertainties when epidemiological results are used to discern the nature and magnitude of possible ozone-mortality relationships or are applied to risk assessment.

摘要

时间序列研究使用每日死亡率和环境臭氧浓度,其臭氧效应的估计值在不同城市之间存在差异。我们基于国家发病率、死亡率和空气污染研究(NMMAPS)的数据重新分析,调查了这种城市间的变异性,以及臭氧-死亡率相关性对建模假设和每日臭氧指标选择的敏感性。NMMAPS 的先前工作报告了环境 24 小时臭氧与短期死亡率之间存在统计学显著关联,该结果是基于对 98 个美国城市的平均数据得出的。将臭氧对健康的影响与天气和共污染物的影响区分开来,是对其进行解释的核心。我们检查了城市特定的臭氧-死亡率估计值对混杂因素和效应修饰剂调整的敏感性,结果显示出很大的敏感性。我们还研究了不同浓度范围内的臭氧-死亡率相关性,发现较高浓度范围内的增量效应更大,但不确定性也更大。由最大 8 小时平均值或 1 小时最大值定义的替代臭氧暴露指标显示出不同的臭氧-死亡率相关性,这不能用简单的缩放关系来解释。基于 NMMAPS 的早期研究的重点一直是报告“全国”效应,以及预测区间,这些预测区间表明这些全国性数值是精确估计的。我们认为,基于来自多个城市的每日数据的时间序列流行病学分析,臭氧-死亡率相关性揭示了仍然未解释的不一致性,并对建模选择和数据选择敏感,这导致在使用流行病学结果来辨别可能的臭氧-死亡率关系的性质和大小或应用于风险评估时存在严重的不确定性。

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