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The Association between Air Pollution and Outpatient and Inpatient Visits in Shenzhen China

机译:深圳市空气污染与门诊和住院患者之间的联系

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摘要

Nowadays, air pollution is a severe environmental problem in China. To investigate the effects of ambient air pollution on health, a time series analysis of daily outpatient and inpatient visits in 2015 were conducted in Shenzhen (China). Generalized additive model was employed to analyze associations between six air pollutants (namely SO2, CO, NO2, O3, PM10, and PM2.5) and daily outpatient and inpatient visits after adjusting confounding meteorological factors, time and day of the week effects. Significant associations between air pollutants and two types of hospital visits were observed. The estimated increase in overall outpatient visits associated with each 10 µg/m3 increase in air pollutant concentration ranged from 0.48% (O3 at lag 2) to 11.48% (SO2 with 2-day moving average); for overall inpatient visits ranged from 0.73% (O3 at lag 7) to 17.13% (SO2 with 8-day moving average). Our results also suggested a heterogeneity of the health effects across different outcomes and in different populations. The findings in present study indicate that even in Shenzhen, a less polluted area in China, significant associations exist between air pollution and daily number of overall outpatient and inpatient visits.
机译:如今,空气污染已成为中国严重的环境问题。为了调查环境空气污染对健康的影响,2015年在中国深圳进行了每日门诊和住院就诊的时间序列分析。在调整混杂的气象因素,时间和星期几影响后,采用广义加性模型分析六种空气污染物(即SO2,CO,NO2,O3,PM10和PM2.5)与日常门诊和住院患者之间的关联。观察到空气污染物与两种类型的医院就诊之间存在显着关联。估计每增加10 µg / m 3 空气污染物浓度,整体门诊就诊人数的增加幅度为0.48%(滞后2为O3)至11.48%(SO2为2天移动平均值);总体住院就诊率介于0.73%(滞后7为O3)至17.13%(平均8天移动平均为SO2)。我们的结果还表明,不同结果和不同人群中健康影响的异质性。本研究的结果表明,即使在中国污染程度较低的深圳,空气污染与每天门诊和住院总次数之间也存在显着的关联。

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