4.7 Article

The relationship between airborne fine particle matter and emergency ambulance dispatches in a southwestern city in Chengdu, China

期刊

ENVIRONMENTAL POLLUTION
卷 229, 期 -, 页码 661-667

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.envpol.2017.06.098

关键词

PM2.5; Emergency ambulance dispatches; Health effect; Cause-specific

资金

  1. public welfare research program of the National Health and Family Planning Commission of China [201402022]
  2. National Natural Science Foundation of China [21277135, 91543111]
  3. National High-level Talents Special Support Plan of China for Young Talents
  4. Environmental Health Development Project of National Institute of Environmental Health, Chinese Center for Disease Control and Prevention

向作者/读者索取更多资源

High levels of fine particulate matter (PM2.5) are known to cause adverse effects to human health. The goal of this study was to estimate the acute health effects of short-term exposure to ambient PM2.5 by analyzing cause-specific emergency ambulance dispatches as the endpoint in Chengdu, a city in Sichuan Province in southwest China. The ambient PM2.5 concentration of Chengdu reached 63 g/m(3) in 2015. Data related to the causes of specific emergency ambulance dispatches, air pollution, and meteorological conditions were collected from 2013 to 2015 (1095 days). A generalized additive model (GAM) was constructed to control the confounding conditions and to estimate the effects of PM2.5 on human health conditions. Emergency ambulance dispatches for all causes with (RR for lag0 = 1.0010, 95%CI: 1.0002, 1.0019) or without injuries (RR for lag0 = 1.0012, 95%CI: 1.0002, 1.0022), respiratory diseases (RR for lag0 = 1.0051, 95%CI: 1.0012, 1.0089), and cardiovascular diseases (RR for lag0 = 1.0041, 95%CI: 1.0009, 1.0074) were associated with ambient PM2.5 concentrations in Chengdu. In addition, the effects of PM2.5 were not confounded by ozone. (C) 2017 Published by Elsevier Ltd.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据