第1部分。上海市环境空气污染与日死亡率的时序研究。

Haidong Kan, Bingheng Chen, Naiqing Zhao, Stephanie J London, Guixiang Song, Guohai Chen, Yunhui Zhang, Lili Jiang
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引用次数: 0

摘要

尽管室外空气污染与每日死亡率之间的关系已经在中国的几个城市进行了研究,但关于中国空气污染对健康的影响,仍有一些关键的科学问题需要解决。考虑到过去十年中国空气污染浓度和来源的变化(例如,从20世纪典型的一个主要来源[煤炭燃烧]到多种来源[煤炭燃烧和机动车排放]的变化)和过渡,研究室外空气污染对中国死亡率结果的急性影响是值得的。利用2001-2004年4年的日常数据,对上海市室外空气污染与日死亡率之间的关系进行了时间序列研究。这项研究是由健康影响研究所(HEI)支持的亚洲公共卫生和空气污染(PAPA)项目的一部分。我们收集了上海市疾病预防控制中心(SMCDCP)、上海市环境监测中心和上海市气象局的日常死亡率、空气污染和天气数据。HEI指派的独立审核小组对所有数据进行了验证。我们的统计分析遵循PAPA计划的共同协议(在本卷的末尾找到)。简单地说,一个自然样条模型被用来分析死亡率、空气污染和协变量数据。我们首先构建了排除空气污染变量的各种死亡率结果的基本模型,并使用残差的部分自相关函数来指导自回归项的时间趋势自由度和滞后天数的选择。随后,我们引入了污染物变量,并分析了它们对死亡率结果的影响,包括所有自然(非意外)原因导致的死亡率和特定原因导致的死亡率。我们拟合了单一和多污染物模型来评估污染物影响的稳定性。对于所有自然原因导致的死亡率,我们也检查了按性别和年龄分层的关联。根据教育水平进行分层分析,用来衡量社会经济地位。除了对整个研究期的分析外,还分析了暖季(4月至9月)和冷季(10月至3月)空气污染的影响。我们还研究了其他模型规格的影响——如污染物和温度的滞后效应、时间趋势和天气条件的自由度、统计方法和污染物浓度的平均方法——对空气污染的估计影响。我们发现空气污染物——空气动力学直径小于等于10 pm的颗粒物(PM10)、二氧化硫(SO2)、二氧化氮(NO2)和臭氧(O3)——与所有自然原因和心肺疾病造成的每日死亡率之间存在显著关联。从上海的数据中发现,按污染物浓度计算,死亡风险增加的幅度与世界其他地区的研究结果大致相似。PM10、SO2、NO2和O3的2天移动平均浓度每增加10微克/立方米,对应于所有自然原因导致的死亡率分别增加0.26%(95%可信区间[CI], 0.14-0.37)、0.95% (95% CI, 0.62-1.28)、0.97% (95% CI, 0.66-1.27)和0.31% (95% CI, 0.04-0.58)。敏感性分析表明,我们的研究结果通常对其他模型规格不敏感。我们发现,调整PM10后,气态污染物SO2和NO2对日死亡率有显著影响。我们的分析还提供了初步但非结论性的证据,表明女性、老年人和受教育程度较低的人可能比男性、年轻人和受教育程度较高的人更容易受到空气污染的影响。此外,空气污染与每日死亡率之间的关联在寒冷季节似乎比在温暖季节更为明显。我们的结论是,短期暴露于室外空气污染(PM10、SO2、NO2和O3)与上海的每日死亡率有关,并且气态污染物可能对城市健康有独立的影响。总的来说,这项研究的结果与世界其他地区的报告基本一致。将需要进一步的研究,以理清各种污染物的影响,并对各种社会人口特征(例如,性别、年龄和社会经济地位)和季节对空气污染与每日死亡率之间的关系的影响获得更结论性的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Part 1. A time-series study of ambient air pollution and daily mortality in Shanghai, China.

Although the relation between outdoor air pollution and daily mortality has been examined in several Chinese cities, there are still a number of key scientific issues to be addressed concerning the health effects of air pollution in China. Given the changes over the past decade in concentrations and sources of air pollution (e.g., the change from one predominant source [coal combustion], which was typical of the twentieth century, to a mix of sources [coal combustion and motor-vehicle emissions]) and transition in China, it is worthwhile to investigate the acute effects of outdoor air pollution on mortality outcomes in the country. We conducted a time-series study to investigate the relation between outdoor air pollution and daily mortality in Shanghai using four years of daily data (2001-2004). This study is a part of the Public Health and Air Pollution in Asia (PAPA) program supported by the Health Effects Institute (HEI). We collected data on daily mortality, air pollution, and weather from the Shanghai Municipal Center of Disease Control and Prevention (SMCDCP), Shanghai Environmental Monitoring Center, and Shanghai Meteorologic Bureau. An independent auditing team assigned by HEI validated all the data. Our statistical analysis followed the Common Protocol of the PAPA program (found at the end of this volume). Briefly, a natural-spline model was used to analyze the mortality, air pollution, and covariate data. We first constructed the basic models for various mortality outcomes excluding variables for air pollution, and used the partial autocorrelation function of the residuals to guide the selection of degrees of freedom for time trend and lag days for the autoregression terms. Thereafter, we introduced the pollutant variables and analyzed their effects on mortality outcomes, including both mortality due to all natural (nonaccidental) causes and cause-specific mortality. We fitted single- and multipollutant models to assess the stability of the effects of the pollutants. For mortality due to all natural causes, we also examined the associations stratified by sex and age. Stratified analyses by education level, used as a measure of socioeconomic status, were conducted as well. In addition to an analysis of the entire study period, the effects of air pollution in just the warm season (from April to September) and cool season (from October to March) were analyzed. We also examined the effects of alternative model specifications--such as lag effects of pollutants and temperature, degrees of freedom for time trend and weather conditions, statistical approaches, and averaging methods for pollutant concentrations-on the estimated effects of air pollution. We found significant associations between the air pollutants--particulate matter 10 pm or less in aerodynamic diameter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) -and daily mortality from all natural causes and from cardiopulmonary diseases. The increased mortality risks found in the data from Shanghai were generally similar in magnitude, per concentration of pollutant, to the risks found in research from other parts of the world. An increase of 10 microg/m3 in 2-day moving average concentrations of PM10, SO2, NO2, and O3 corresponded to 0.26% (95% confidence interval [CI], 0.14-0.37), 0.95% (95% CI, 0.62-1.28), 0.97% (95% CI, 0.66-1.27), and 0.31% (95% CI, 0.04-0.58) increases, respectively, in mortality due to all natural causes. Sensitivity analyses suggested that our findings were generally insensitive to alternative model specifications. We found significant effects of the gaseous pollutants SO2 and NO2 on daily mortality after adjustment for PM10. Our analysis also provided preliminary, but not conclusive, evidence that women, older people, and people with a low level of education might be more vulnerable to air pollution than men, younger people, and people with a high level of education. In addition, the associations between air pollution and daily mortality appeared to be more pronounced in the cool season than in the warm. We concluded that short-term exposure to outdoor air pollution (PM10, SO2, NO2, and O3) was associated with daily mortality in Shanghai and that gaseous pollutants might have independent health effects in the city. Overall, the results of the study appeared largely consistent with those reported in other locations worldwide. Further research will be needed to disentangle the effects of the various pollutants and to gain more conclusive insights into the influence of various sociodemographic characteristics (e.g., sex, age, and socioeconomic status) and of season on the associations between air pollution and daily mortality.

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