文献类型：期刊文献

英文题名：The short-term effects of air pollutants on pneumonia hospital admissions in Lanzhou, China, 2014-2019: evidence of ecological time-series study

作者：Jin, Limei[1,2];Zhou, Tian[3];Fang, Shuya[3];Zhou, Xiaowen[3];Han, Bisen[3];Bai, Yana[1,4]

第一作者：靳利梅;Jin, Limei

通信作者：Bai, YN[1];Bai, YN[2]

机构：[1]Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 73000, Peoples R China;[2]Gansu Univ Chinese Med, Sch Publ Hlth, Lanzhou 73000, Peoples R China;[3]Lanzhou Univ, Coll Atmospher Sci, Lanzhou 73000, Peoples R China;[4]Lanzhou Univ, Sch Publ Hlth, Lanzhou 73000, Peoples R China

第一机构：Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 73000, Peoples R China

通信机构：[1]corresponding author), Lanzhou Univ, Coll Earth & Environm Sci, Lanzhou 73000, Peoples R China;[2]corresponding author), Lanzhou Univ, Sch Publ Hlth, Lanzhou 73000, Peoples R China.

年份：2022

卷号：15

期号：12

起止页码：2199

外文期刊名：AIR QUALITY ATMOSPHERE AND HEALTH

收录：;Scopus(收录号：2-s2.0-85137779331);WOS:【SCI-EXPANDED(收录号:WOS:000852103100001)】；

基金：This work was supported by the National Science Foundation of China (No. 41975019), Scientific Research and Innovation Foundation of Gansu University of Chinese Medicine (No. 2020KCYB4), and the Fundamental Research Funds for the Central University (lzujbky-2019-42).

语种：英文

外文关键词：Air pollutants; Pneumonia; Hospital admissions; Ecological time-series study; Distributed lag nonlinear model

摘要：This study explored the short-term effects of air pollutants (PM2.5, PM10, SO2, NO2, O(3)8h, and CO) on pneumonia-related hospital admissions in Lanzhou (an ex-heavily polluted city in Northwestern China). A time-series design, with a distributed lag non-linear model (DLNM), was used for statistical analysis. Daily pneumonia hospital admissions data in Lanzhou from January 1, 2014 to December 31, 2019 were collected, in addition to air pollutant and meteorological data. We used DLNM to estimate relative risk (RR), and a 95% confidence interval (CI) of pneumonia hospital admissions was associated with a 10 mu g/m(3) rise in exposure to air pollutants (per 1 mg/m(3) rise in CO). Stratification analysis was also performed according to gender (male and female), age (0-14 years, 15-64 years and >= 65 years old), and season (warm season and cold season). A total of 20,071 pneumonia hospital admissions were enrolled for analysis. Pneumonia hospital admissions risk were 1.044 (1.029, 1.060), 1.009 (1.005, 1.013), 1.086 (1.053, 1.121), 1.073 (1.052, 1.093), and 1.157 (1.094, 1.223), respectively, corresponding to a 10 mu g/m(3) rise in exposure to PM2.5, PM10, SO2, NO2, a 1 mg/m(3) rise in exposure to CO. Every 10 mu g/m(3) increase in O(3)8h was associated with decrease of pneumonia hospital admissions, the RR(95%CI) was 0.949 (0.935, 0.962). The adverse effects for gaseous pollutants (except O(3)8h) on pneumonia hospital admissions were stronger than particulate matter. Six exposure-response curves between air pollutants and pneumonia hospital admissions were approximately linear without thresholds. Female and children aged 0-14 years were more sensitive to the effects of air pollutants, particularly in the cold season. Exposure to air pollutants (except O(3)8h) might be associated with increased risk of pneumonia hospital admissions. The association remained significant after adjusting for other environmental factors.