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  • 标题:Pediatric emergency department visits and ambient Air pollution in the U.S. State of Georgia: a case-crossover study
  • 本地全文:下载
  • 作者:Qingyang Xiao ; Yang Liu ; James A. Mulholland
  • 期刊名称:Environmental Health - a Global Access Science Source
  • 印刷版ISSN:1476-069X
  • 电子版ISSN:1476-069X
  • 出版年度:2016
  • 卷号:15
  • 期号:1
  • 页码:115
  • DOI:10.1186/s12940-016-0196-y
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:Estimating the health effects of ambient air pollutant mixtures is necessary to understand the risk of real-life air pollution exposures. Pediatric Emergency Department (ED) visit records for asthma or wheeze (n = 148,256), bronchitis (n = 84,597), pneumonia (n = 90,063), otitis media (n = 422,268) and upper respiratory tract infection (URI) (n = 744,942) were obtained from Georgia hospitals during 2002–2008. Spatially-contiguous daily concentrations of 11 ambient air pollutants were estimated from CMAQ model simulations that were fused with ground-based measurements. Using a case-crossover study design, odds ratios for 3-day moving average air pollutant concentrations were estimated using conditional logistic regression, matching on ZIP code, day-of-week, month, and year. In multipollutant models, the association of highest magnitude observed for the asthma/wheeze outcome was with “oxidant gases” (O3, NO2, and SO2); the joint effect estimate for an IQR increase of this mixture was OR: 1.068 (95% CI: 1.040, 1.097). The group of “secondary pollutants” (O3 and the PM2.5 components SO42−, NO3−, and NH4+) was strongly associated with bronchitis (OR: 1.090, 95% CI: 1.050, 1.132), pneumonia (OR: 1.085, 95% CI: 1.047, 1.125), and otitis media (OR: 1.059, 95% CI: 1.042, 1.077). ED visits for URI were strongly associated with “oxidant gases,” “secondary pollutants,” and the “criteria pollutants” (O3, NO2, CO, SO2, and PM2.5). Short-term exposures to air pollution mixtures were associated with ED visits for several different pediatric respiratory diseases.
  • 关键词:Air pollution ; Pediatric Emergency Department Visits ; Multipollutant model ; CMAQ
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