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DOI10.1016/j.atmosenv.2020.118161
Air pollution and the number of daily deaths due to respiratory causes in Tehran
Karimi B.; Shokrinezhad B.
发表日期2021
ISSN1352-2310
卷号246
英文摘要Air pollution is a major environmental and health issue around the world in the past decades. The main objective of this project was to evaluate the association between the number of daily respiratory deaths and air pollution concentrations among residents of Tehran. Air pollution parameters such as particulate matter (PM), carbon monoxide (CO), sulfur dioxide (SO2), ozone (O3), and nitrogen dioxide (NO2) were obtained from the Tehran air quality control company. We recognized the number of daily respiratory mortality data from Tehran's cemetery registration from 2014 to 2019. We employed a Poisson regression model with natural spline functions to adjust air pollution and daily respiratory mortality data with temperature, long-term, and seasonality. The mean concentrations of PM2.5, PM10, O3, CO, SO2, and NO2 were 29.8 μg/m3, 78.7 μg/m3, 220.4 part per billion (ppb), 2.3 part per million (ppm), 9.7 ppb, and 49.6 ppb, respectively. The percent change and 95% confidence intervals (CIs) for mortality from respiratory causes due to 10-μg/m3 increment in PM2.5 and PM10 concentrations were 4.5% (95% CI: 0.3–9.5%) and 2.5% (95% CI: 0.1–3.5%) in the adjusted model, respectively. The percent change of respiratory death was significant for SO2 (2.8% per 1 ppb increment, 95% CI: 0.5–19.5%), NO2 (1.5% per 1 ppb increment, 95% CI: 0.8–15%) and O3 (0.6% per 1 ppb increment, 95% CI: 0.1–1.1%) exposure in adjusted model. Stronger associations obtained among elderly and women subjects. Conclusively, the findings of the present study suggest that the risk of respiratory death was associated with PM2.5, PM10, SO2, NO2, and O3 exposure. © 2020
英文关键词Air quality; Carbon monoxide; Nitrogen oxides; Quality control; Regression analysis; Sulfur dioxide; Confidence interval; Mean concentrations; Nitrogen dioxides; Part per billion (ppb); Particulate Matter; PM2.5 and PM10 concentrations; Poisson regression models; Pollution concentration; Air pollution control; carbon monoxide; nitrogen dioxide; ozone; sulfur dioxide; air quality; atmospheric pollution; carbon monoxide; concentration (composition); confidence interval; environmental issue; mortality; ozone; particulate matter; pollution exposure; respiratory disease; sulfur dioxide; adult; aged; air pollutant; air pollution; air quality control; Article; correlation coefficient; female; human; Iran; male; meteorological phenomena; meteorology; mortality; particulate matter 10; particulate matter 2.5; PM2.5 exposure; priority journal; respiratory tract disease; seasonal variation; temperature; time series analysis; Iran; Tehran [Iran]
语种英语
来源期刊Atmospheric Environment
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/169061
作者单位Department of Environmental Health Engineering, Arak University of Medical Sciences, Arak, Iran
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Karimi B.,Shokrinezhad B.. Air pollution and the number of daily deaths due to respiratory causes in Tehran[J],2021,246.
APA Karimi B.,&Shokrinezhad B..(2021).Air pollution and the number of daily deaths due to respiratory causes in Tehran.Atmospheric Environment,246.
MLA Karimi B.,et al."Air pollution and the number of daily deaths due to respiratory causes in Tehran".Atmospheric Environment 246(2021).
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