Suppr超能文献

空气污染与呼吸道疾病住院情况

Air pollution and hospital admissions for respiratory disease.

作者信息

Schwartz J

机构信息

Environmental Epidemiology Program, Harvard School of Public Health, Boston, MA 02115, USA.

出版信息

Epidemiology. 1996 Jan;7(1):20-8. doi: 10.1097/00001648-199601000-00005.

Abstract

Several recent studies have reported associations between short-term changes in air pollution and respiratory hospital admissions. Most of those studies analyzed locations where there was a high correlation between airborne particles and sulfur dioxide (SO2), and between all air pollutants and temperature. Here, I seek to replicate the previous findings in a location where SO2 concentrations were trivial, and the correlation between both airborne particles and ozone with temperature was considerably lower than in previous studies. I constructed daily counts of admissions to all hospitals in Spokane, WA, for respiratory disease (International Classification of Diseases, 9th revision, codes 460-519) for persons age 65 years and older. I computed average daily concentrations of airborne particles whose diameter is 10 microns or less (PM10) and ozone (O3) from all monitors in each city, and I obtained daily average temperature and humidity from the U.S. weather service. SO2 concentrations in Spokane were so low that monitoring was discontinued. I regressed daily respiratory admission counts on temperature, humidity, day of the week indicators, and air pollution. I used a Poisson regression analysis and removed long wavelength patterns using a nonparametric smooth function of day of study. I dealt with a possible U-shaped dependence of admissions on temperature and/or humidity by using nonparametric smooth functions of weather variables as well. I then examined sensitivity analyses to control for weather. Both PM10 and ozone were associated with increased risk of respiratory hospital admissions [relative risk (RR) = 1.085; 95% confidence interval (CI) = 1.036-1.136 for a 50-microgram per m3 increase in PM10, and RR = 1.244; 95% CI = 1.002-1.544 for a 50-microgram per m3 increase in peak-hour ozone]. The PM10 association was insensitive to alternative methods of control for weather, including exclusion of extreme temperature days and control for temperature on multiple days. The ozone results were more sensitive to the approach for weather control. The magnitude of the PM10 effect in this location, where SO2 was essentially not present, and where the correlation between PM10 and temperature was close to zero, was similar to that reported in other locations in the eastern United States and Europe, where confounding by weather and SO2 is a more substantial concern.

摘要

最近的几项研究报告了空气污染的短期变化与呼吸道疾病住院人数之间的关联。这些研究大多分析了空气中颗粒物与二氧化硫(SO2)之间、以及所有空气污染物与温度之间具有高度相关性的地点。在此,我试图在一个SO2浓度微不足道、且空气中颗粒物和臭氧与温度之间的相关性远低于先前研究的地点重现先前的研究结果。我统计了华盛顿州斯波坎市所有医院65岁及以上人群因呼吸系统疾病(国际疾病分类第九版,编码460 - 519)的每日住院人数。我计算了每个城市所有监测点直径为10微米及以下的空气中颗粒物(PM10)和臭氧(O3)的日均浓度,并从美国气象服务部门获取了每日平均温度和湿度。斯波坎市的SO2浓度非常低,以至于监测工作已停止。我将每日呼吸道疾病住院人数与温度、湿度、星期几指标以及空气污染进行回归分析。我使用了泊松回归分析,并通过对研究日期进行非参数平滑函数处理来去除长波长模式。我还通过使用天气变量的非参数平滑函数来处理住院人数可能对温度和/或湿度呈U形依赖的情况。然后,我进行了敏感性分析以控制天气因素。PM10和臭氧均与呼吸道疾病住院风险增加相关[相对风险(RR)= 1.085;对于PM10每立方米增加50微克,95%置信区间(CI)= 1.036 - 1.136,对于高峰时段臭氧每立方米增加50微克,RR = 1.244;95% CI = 1.002 - 1.544]。PM10的关联对控制天气的替代方法不敏感,包括排除极端温度日以及对多日温度进行控制。臭氧的结果对天气控制方法更为敏感。在这个基本不存在SO2、且PM10与温度之间的相关性接近零的地点,PM10效应的大小与美国东部和欧洲其他地点报告的类似,在那些地方,天气和SO2造成的混杂是更值得关注的问题。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验