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Ambient fine particulate pollution and daily morbidity of stroke in Chengdu, China

机译:中国成都成都中风的环境细颗粒污染及日常发病率

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摘要

INTRODUCTION:Association has been reported between ambient fine particulate matter (PM) and adverse outcomes of cerebrovascular events. However, it remains unclear that whether short-term exposure to PM relates to stroke and the lag of health effects. This triggers us to examine the relationship between PM and population stroke morbidity in Chengdu. METHODS:The daily average concentration of atmospheric pollutants and meteorological factors and daily morbidity of stroke in Chengdu (2013-2015) were collected. Based on time series analysis-generalized additive models (GAM), single-pollutant, two-pollutant and multi-pollutant model were established. The effects of atmospheric PM2.5 (defined as PM less than 2.5μm in aerodynamic diameter), PMc(defined as PM less than 10μm and more than 2.5μm in aerodynamic diameter) and PM10 (defined as PM less than 10μm in aerodynamic diameter) concentration on the daily mortality of stroke were analyzed, respectively. RESULTS:The three-year mean concentrations of PM2.5, PMc and PM10 for air pollutants were 75.9, 43.9 and 119.7 μg/m3, respectively. PM2.5 on the current day (lag0) and with a moving average of 0-1 days were significantly associated with the increasing risk of stroke morbidity, and PM2.5 with a lag of 0-1 days had greater association, whereas for PMc and PM10 there were no significant association observed. In our study, every 10μg/m3 increase of PM2.5 was associated with 0.69% percent change in stroke morbidity (95%CI: 0.01~1.38). For females, every 10μg/m3 increase of PM2.5 contributes to 0.80% percent change of onset. And for the group of age less than 65, we observed 0.78% higher risk every 10μg/m3 increase of PM2.5. CONCLUSIONS:These findings suggest that short-term exposure to PM2.5 within 1 day is associated with the onset of stroke, and the younger people (age<65) and females are more sensitive than older people and males.
机译:介绍:在环境细颗粒物(PM)和脑血管事件的不良结果之间报道了关联。然而,仍然不清楚,短期暴露于下午是否涉及中风和健康效果的滞后。这致力于考察成都PM与人口中风发病率之间的关系。方法:收集了成都(2013-2015)中风污染物和气象因素的日平均浓度及卒中日常发病率。基于时间序列分析 - 广义添加剂模型(GAM),单污染物,双污染物和多污染物模型。大气PM2.5的效果(定义为PM在空气动力学直径中的PM小于2.5μm),PMC(定义为PM小于10μm,空气动力学直径超过2.5μm)和PM10(定义为空气动力学直径小于10μm)分别分析了卒中日常死亡率的浓度。结果:用于空气污染物的PM2.5,PMC和PM10的三年平均浓度分别为75.9,43.9和119.7μg/ m 3。 PM2.5在当前的日期(LAG0)和平均水平为0-1天与卒中发病率的风险增加显着相关,PM2.5具有0-1天的滞后,具有更大的关联,而PMC和PM10没有观察到的重要关联。在我们的研究中,每10μg/ m 3增加PM2.5与卒中发病率的0.69%(95%CI:0.01〜1.38)相关。对于女性,每10μg/ m3增加PM2.5促进发病变化的0.80%。对于小于65的年龄,我们每10μg/ m 3增加PM2.5的风险较高的0.78%。结论:这些研究结果表明,在1天内短期暴露于1天内的PM2.5与中风发作相关,而年轻人(年龄<65)和女性比老年人和男性更敏感。

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