...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Environmental research >Spatio-temporal ozone variation in a case-crossover analysis of childhood asthma hospital visits in New York City
【24h】

Spatio-temporal ozone variation in a case-crossover analysis of childhood asthma hospital visits in New York City

机译：纽约市儿童哮喘医院就诊病例交叉分析中的时空臭氧变化

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Background: Childhood asthma morbidity has been associated with short-term air pollution exposure. To date, most investigations have used time-series models, and it is not well understood how exposure misclassification arising from unmeasured spatial variation may impact epidemiological effect estimates. Here, we develop case-crossover models integrating temporal and spatial individual-level exposure information, toward reducing exposure misclassification in estimating associations between air pollution and child asthma exacerbations in New York City (NYC). Methods: Air pollution data included: (a) highly spatially-resolved intra-urban concentration surfaces for ozone and co-pollutants (nitrogen dioxide and fine particulate matter) from the New York City Community Air Survey (NYCCAS), and (b) daily regulatory monitoring data. Case data included citywide hospital records for years 2005-2011 warm-season (June-August) asthma hospitalizations (n = 2353) and Emergency Department (ED) visits (n = 11,719) among children aged 5-17 years. Case residential locations were geocoded using a multi-step process to maximize positional accuracy and precision in near-residence exposure estimates. We used conditional logistic regression to model associations between ozone and child asthma exacerbations for lag days 0-6, adjusting for co-pollutant and temperature exposures. To evaluate the effect of increased exposure specificity through spatial air pollution information, we sequentially incorporated spatial variation into daily exposure estimates for ozone, temperature, and co-pollutants. Results: Percent excess risk per 10 ppb ozone exposure in spatio-temporal models were significant on lag days 1 through 5, ranging from 6.5 (95% CI: 0.2-13.1) to 13.0 (6.0-20.6) for inpatient hospitalizations, and from 2.9 (95% CI: 0.1-5.7) to 9.4 (6.3-12.7) for ED visits, with strongest associations consistently observed on lag day 2. Spatio-temporal excess risk estimates were consistently but not statistically significantly higher than temporal-only estimates on lag days 0-3. Conclusion: Incorporating case-level spatial exposure variation produced small, non-significant increases in excess risk estimates. Our modeling approach enables a refined understanding of potential measurement error in temporal-only versus spatio-temporal air pollution exposure assessments. As ozone generally varies over much larger spatial scales than that observed within NYC, further work is necessary to evaluate potential reductions in exposure misclassification for populations spanning wider geographic areas, and for other pollutants.
机译：背景：儿童哮喘的发病与短期空气污染有关。迄今为止，大多数研究都使用了时间序列模型，人们对由无法测量的空间变化引起的暴露分类错误如何影响流行病学影响估计尚不甚了解。在这里，我们开发了整合时间和空间个体水平暴露信息的病例交叉模型，以减少估计空气污染与纽约市儿童哮喘恶化之间的关联的暴露分类错误。方法：空气污染数据包括：（a）来自纽约市社区空气调查局（NYCCAS）的高度空间分辨的城市内部臭氧和共污染物（二氧化氮和细颗粒物）浓度表面，以及（b）每日监管监控数据。病例数据包括5至17岁儿童在2005-2011年的暖季（6月至8月）哮喘住院期间（n = 2353）和急诊科（ED）就诊（n = 11,719）。使用多步过程对案例住宅位置进行了地理编码，以最大程度地提高位置精确度和准居民暴露估计值的精确度。我们使用条件Logistic回归对0-6滞后天的臭氧与儿童哮喘急性发作之间的关联进行建模，并调整了共同污染物和温度暴露。为了评估通过空间空气污染信息增加的接触特异性的影响，我们将空间变化顺序纳入臭氧，温度和共污染物的每日接触估计中。结果：在时空模型中，每10 ppb臭氧暴露的超额风险百分比在第1至第5天的滞后时间就很显着，住院住院的范围从6.5（95％CI：0.2-13.1）到13.0（6.0-20.6），从2.9急诊就诊的比例（95％CI：0.1-5.7）至9.4（6.3-12.7），在滞后第2天始终观察到最强的关联。时空过高风险估计值始终如一，但在统计学上不高于仅滞后时间的估计值0-3天。结论：纳入病例水平的空间暴露差异会导致过量风险估计值的小幅增加（无明显增加）。我们的建模方法可以使您更好地了解仅在时间上与时空空气污染暴露评估中的潜在测量误差。由于臭氧的变化通常比纽约市内观察到的空间尺度大得多，因此有必要开展进一步的工作，以评估可能导致地理分布范围更广的人群以及其他污染物的分类错误减少的情况。

著录项

  • 来源
    《Environmental research》 |2016年第5期|108-114|共7页
  • 作者

    Jessie Loving Carr Shmool; Ellen Kinnee; Perry Elizabeth Sheffield; Jane Ellen Clougherty;

  • 作者单位

    University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, 100 Technology Drive, Ste. 350, Pittsburgh, PA 15219, USA;

    University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, 100 Technology Drive, Ste. 350, Pittsburgh, PA 15219, USA;

    Icahn School of Medicine at Mount Sinai, DPM, 1 Custave L. Levy Pl., Box 1057, New York, NY 10029, USA;

    University of Pittsburgh Graduate School of Public Health, Department of Environmental and Occupational Health, 100 Technology Drive, Ste. 350, Pittsburgh, PA 15219, USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Case-crossover; Childhood asthma; Intraurban variation; Ozone; Spatio-temporal;

    机译：案例交叉;儿童哮喘;城市内部变化;臭氧;时空;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号