首页> 外文会议>Joint annual meeting of the International Society of Exposure Science and the International Society for Environmental Epidemiology >Short-Term Associations between Daily Mortality and Fine Particulate Matter, Nitrogen Dioxide, and the Air Quality Index in Tehran, Iran
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Short-Term Associations between Daily Mortality and Fine Particulate Matter, Nitrogen Dioxide, and the Air Quality Index in Tehran, Iran

机译:伊朗德黑兰的每日死亡率和细颗粒物,二氧化氮与空气质量指数之间的短期关联

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There is limited evidence for short-term associations between mortality and ambient air pollution in the Middle East, and no studies examining the association between daily mortality and the air quality index (AQI). We investigated short-term associations between non-accidental mortality and fine particulate matter (PM2.5), nitrogen dioxide (NO2), and the AQI from March 2011 through March 2014 in the megacity of Tehran, Iran. Generalized additive quasi-Poisson models were used within a distributed lag non-linear modeling framework to estimate the effects of PM2.5, N02, and AQI from lag 0 to lag of 45 days. Positive associations were found in most models, with strong evidence of effect modification by sex, age, and season. The maximum cumulative rate ratios (95% confidence interval) per inter-quartile range increment were: 1.19 (1.12,1.28) for NO2 over the previous 45 days (for males, all ages, in cooler months); 1.14 (1.07,1.21) for PM2.5 over the previous 30 days (for females, all ages, in cooler months); and 1.15 (1.08,1.22) for AQI over the previous 31 days (for females, all ages, in cooler months). The cumulative effects remained positive in multipollutant models. Overall, we found that the effects of PM2.5, NO2, and AQI on mortality in Tehran were immediate, and that they increased steadily over a period of weeks. This is the first study to report short-term association between non-accidental mortality and ambient air pollution in Iran.
机译:中东地区死亡率与环境空气污染之间存在短期关联的证据有限,尚无研究检验每日死亡率与空气质量指数(AQI)之间关联的研究。我们调查了2011年3月至2014年3月在伊朗德黑兰这个大城市发生的非意外死亡率与细颗粒物(PM2.5),二氧化氮(NO2)和AQI之间的短期关联。在分布滞后非线性建模框架内使用广义加法准Poisson模型来估计从滞后0到滞后45天的PM2.5,NO 2和AQI的影响。在大多数模型中发现正相关,并有强有力的证据表明性别,年龄和季节会影响效果。每四分位数间距增加的最大累积比率比率(95%置信区间)为:前45天(男性,所有年龄段,在凉爽月份中)的NO2为1.19(1.12,1.28);前30天(对于女性,所有年龄段,在凉爽月份中)的PM2.5为1.14(1.07,1.21);以及过去31天内AQI的1.15(1.08,1.22)(所有年龄段的女性,在凉爽的月份)。在多污染物模型中,累积效应仍然为正。总体而言,我们发现PM2.5,NO2和AQI对德黑兰的死亡率具有立竿见影的效果,并且在数周内稳定增长。这是第一项报告伊朗意外事故死亡率与环境空气污染之间短期关联的研究。

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