Air pollution and hospital admissions for respiratory diseases in Lanzhou, China
Air pollution and hospital admissions for respiratory diseases in Lanzhou, China
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DOI：
10.1016/j.envpol.2013.10.035
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发表时间：
2014-02-01
影响因子：
8.9
通讯作者：
Xie, Xiaoyun
中科院分区：
文献类型：
--
作者：
Tao, Yan;Mi, Shengquan;Xie, Xiaoyun
兰州得天独厚的地形、气候、产业结构等，使其整体跻身中国空气污染最严重的城市之列。从2001年到2005年，我们研究了不同空气污染与呼吸道住院的关系，呼吸道住院总数为28,057例。在控制了空气污染物的长期趋势、“星期”效应和混杂气象因素后，使用泊松回归模型对数据进行了分析。3种大气污染物(PM10、SO2、NO2)具有滞后效应，PM10滞后3-5天，SO2滞后1-3天，NO2滞后1-4天。计算了污染物四分位数范围内增加的相对风险(PM10为139微克/立方米(3)，二氧化硫为61微克/立方米(3)，NO2为31微克/立方米(3))。结果表明，兰州市空气污染物与呼吸道住院人数之间存在显著的相关性，其中女性和65岁以上人群的影响更大。(C)2013爱思唯尔有限公司。保留所有权利。
Lanzhou is among the most seriously air-polluted cities in China as a whole, due to its unique topography, climate, industrial structure and so on. We studied the relationship between different air pollution and respiratory hospitalizations from 2001 to 2005, the total of respiratory hospital admissions were 28,057. The data were analyzed using Poisson regression models after controlling for the long time trend for air pollutants, the "day of week" effect and confounding meteorological factors. Three air pollutants (PM10, SO2, NO2) had a lag effect, the lag was 3-5 days for PM10, 1-3 days for SO2 and 1-4 days for NO2. The relative risks were calculated for increases in the inter-quartile range of the pollutants (139 mu g/m(3) in PM10, 61 mu g/m(3) in SO2 and 31 mu g/m(3) in NO2). Results showed that there were significant associations between air pollutants and respiratory hospital admissions, and stronger effects were observed for females and aged >65 yrs in Lanzhou. (C) 2013 Elsevier Ltd. All rights reserved.