Suppr超能文献

美国东北部城市和非城市县的温度、臭氧与死亡率

Temperature, ozone, and mortality in urban and non-urban counties in the northeastern United States.

作者信息

Madrigano Jaime, Jack Darby, Anderson G Brooke, Bell Michelle L, Kinney Patrick L

机构信息

Department of Environmental and Occupational Health, School of Public Health, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.

Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA.

出版信息

Environ Health. 2015 Jan 7;14:3. doi: 10.1186/1476-069X-14-3.

Abstract

BACKGROUND

Most health effects studies of ozone and temperature have been performed in urban areas, due to the available monitoring data. We used observed and interpolated data to examine temperature, ozone, and mortality in 91 urban and non-urban counties.

METHODS

Ozone measurements were extracted from the Environmental Protection Agency's Air Quality System. Meteorological data were supplied by the National Center for Atmospheric Research. Observed data were spatially interpolated to county centroids. Daily internal-cause mortality counts were obtained from the National Center for Health Statistics (1988-1999). A two-stage Bayesian hierarchical model was used to estimate each county's increase in mortality risk from temperature and ozone. We examined county-level associations according to population density and compared urban (≥1,000 persons/mile(2)) to non-urban (<1,000 persons/mile(2)) counties. Finally, we examined county-level characteristics that could explain variation in associations by county.

RESULTS

A 10 ppb increase in ozone was associated with a 0.45% increase in mortality (95% PI: 0.08, 0.83) in urban counties, while this same increase in ozone was associated with a 0.73% increase (95% PI: 0.19, 1.26) in non-urban counties. An increase in temperature from 70°F to 90°F (21.2°C 32.2°C) was associated with a 8.88% increase in mortality (95% PI: 7.38, 10.41) in urban counties and a 8.08% increase (95% PI: 6.16, 10.05) in non-urban counties. County characteristics, such as population density, percentage of families living in poverty, and percentage of elderly residents, partially explained the variation in county-level associations.

CONCLUSIONS

While most prior studies of ozone and temperature have been performed in urban areas, the impacts in non-urban areas are significant, and, for ozone, potentially greater. The health risks of increasing temperature and air pollution brought on by climate change are not limited to urban areas.

摘要

背景

由于有可用的监测数据,大多数关于臭氧和温度对健康影响的研究都是在城市地区进行的。我们使用观测数据和插值数据来研究91个城市和非城市县的温度、臭氧和死亡率。

方法

臭氧测量数据取自美国环境保护局的空气质量系统。气象数据由美国国家大气研究中心提供。观测数据在空间上被插值到县中心。每日内因死亡率计数来自美国国家卫生统计中心(1988 - 1999年)。使用两阶段贝叶斯层次模型来估计每个县因温度和臭氧导致的死亡率风险增加情况。我们根据人口密度检查县级关联,并比较城市(≥1000人/平方英里)和非城市(<1000人/平方英里)县。最后,我们研究了可以解释各县关联差异的县级特征。

结果

臭氧浓度每增加10 ppb,城市县的死亡率增加0.45%(95%预测区间:0.08,0.83),而在非城市县,相同的臭氧增加量与死亡率增加0.73%(95%预测区间:0.19,1.26)相关。温度从70°F升高到90°F(21.2°C至32.2°C),城市县的死亡率增加8.88%(95%预测区间:7.38,10.41),非城市县增加8.08%(95%预测区间:6.16,10.05)。县级特征,如人口密度、生活在贫困中的家庭百分比和老年居民百分比,部分解释了县级关联的差异。

结论

虽然之前大多数关于臭氧和温度的研究是在城市地区进行的,但非城市地区的影响也很显著,而且对于臭氧来说,潜在影响可能更大。气候变化带来的温度升高和空气污染对健康的风险并不局限于城市地区。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/03b9/4417233/e541aad61984/12940_2014_840_Fig1_HTML.jpg

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