文献类型：期刊文献

英文题名：Air pollution and hospital admissions for respiratory diseases in Lanzhou, China

作者：Tao, Yan[1];Mi, Shengquan[2];Zhou, Shuhong[3];Wang, Shigong[4];Xie, Xiaoyun[1]

第一作者：Tao, Yan

通讯作者：Tao, Y[1]

机构：[1]Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China;[2]Beijing Union Univ, Coll Appl Arts & Sci, Beijing 100191, Peoples R China;[3]Gansu Prov Hosp, Lanzhou 730000, Peoples R China;[4]Lanzhou Univ, Coll Atmospher Sci, Lanzhou 730000, Peoples R China

第一机构：Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 730000, Peoples R China

通讯机构：[1]corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, 222 Tianshuinanlu, Lanzhou 730000, Peoples R China.

年份：2014

卷号：185

起止页码：196-201

外文期刊名：ENVIRONMENTAL POLLUTION

收录：;EI(收录号：20134917056262);Scopus(收录号：2-s2.0-84888619372);WOS:【SCI-EXPANDED(收录号:WOS:000331672500024)】；

基金：This study was supported by the National Natural Science Foundation of China (41075102; 41005087), the Fundamental Research Funds for the Central Universities (lzujbky-2013-m03; lzujbky-2012-135) and the Public Welfare Project of the China Meteorological Administration (GYHY201106034).

语种：英文

外文关键词：Air pollution; Hospital admission; Upper respiratory tract infection; Pneumonia; Chronic obstructive pulmonary disease

摘要：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.