Acute Effects of Ambient Air Pollution on Asthma Emergency Department Visits in Ten US States

被引:25
作者
Bi, Jianzhao [1 ,5 ]
D'Souza, Rohan R. [2 ]
Moss, Shannon [2 ]
Senthilkumar, Niru [3 ]
Russell, Armistead G. [3 ]
Scovronick, Noah C. [4 ]
Chang, Howard H. [2 ]
Ebelt, Stefanie [4 ]
机构
[1] Univ Washington, Dept Environm & Occupat Hlth Sci, Seattle, WA USA
[2] Emory Univ, Dept Biostat & Bioinformat, Atlanta, GA USA
[3] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA USA
[4] Emory Univ, Gangarosa Dept Environm Hlth, Atlanta, GA USA
[5] Univ Washington, Dept Environm & Occupat Hlth Sci, 4225 Roosevelt Way NE, Seattle, WA 98105 USA
基金
美国国家卫生研究院;
关键词
EXPOSURE MEASUREMENT ERROR; STRATIFIED CASE-CROSSOVER; TERM OZONE EXPOSURE; TIME-SERIES; HOSPITAL ADMISSIONS; DISTRIBUTED LAG; UNITED-STATES; ASSOCIATIONS; MORBIDITY; POLLUTANTS;
D O I
10.1289/EHP11661
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
BACKGROUND: Previous studies of short-term ambient air pollution exposure and asthma morbidity in the United States have been limited to a small number of cities and/or pollutants and with limited consideration of effects across ages.OBJECTIVES: To estimate acute age group-specific effects of fine and coarse particulate matter (PM), major PM components, and gaseous pollutants on emergency department (ED) visits for asthma during 2005-2014 across the United States.METHODS: We acquired ED visit and air quality data in regions surrounding 53 speciation sites in 10 states. We used quasi-Poisson log-linear time -series models with unconstrained distributed exposure lags to estimate site-specific acute effects of air pollution on asthma ED visits overall and by age group (1-4, 5-17, 18-49, 50-64, and 65+ y), controlling for meteorology, time trends, and influenza activity. We then used a Bayesian hierarchi-cal model to estimate pooled associations from site-specific associations. RESULTS: Our analysis included 3.19 million asthma ED visits. We observed positive associations for multiday cumulative exposure to all air pollu-tants examined [e.g., 8-d exposure to PM2.5: rate ratio of 1.016 with 95% credible interval (CI) of (1.008, 1.025) per 6.3-mu g/m3 increase, PM10-2.5: 1.014 (95% CI: 1.007, 1.020) per 9.6-mu g/m3 increase, organic carbon: 1.016 (95% CI: 1.009, 1.024) per 2.8-mu g/m3 increase, and ozone: 1.008 (95% CI: 0.995, 1.022) per 0.02-ppm increase]. PM2.5 and ozone showed stronger effects at shorter lags, whereas associations of traffic-related pollutants (e.g., elemental carbon and oxides of nitrogen) were generally stronger at longer lags. Most pollutants had more pronounced effects on children (<18 y old) than adults; PM2.5 had strong effects on both children and the elderly (>64 y old); and ozone had stronger effects on adults than children.CONCLUSIONS: We reported positive associations between short-term air pollution exposure and increased rates of asthma ED visits. We found that air pollution exposure posed a higher risk for children and older populations. https://doi.org/10.1289/EHP11661
引用
收藏
页数:11
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