Ontology highlight
ABSTRACT: Background
Evidence on the relationship between different particle size fractions and emergency ambulance dispatches (EAD) remains limited and sparse.Methods
We collected daily data of EAD, ambient air pollution and meteorological data from 2014 to 2018 in Guangzhou, China. We used a generalized additive model with covariate adjustments to estimate the associations between different particle size fractions and EAD related to all-cause, cardiovascular diseases, and respiratory diseases. Several subgroup and sensitivity analyses were also performed.Results
Significant associations were observed between PM2.5, PM2.5-10, PM10 and EADs. A 10??g/m3 increase of PM2.5, PM2.5-10, and PM10 was associated with an increase of 0.98% (95% CI: 0.67, 1.28%), 2.06% (95% CI: 1.44, 2.68%), and 0.75% (95%CI: 0.53, 0.96%) in all-cause EAD, with an increase of 0.69% (95% CI: 0.00, 1.39%), 2.04% (95% CI: 0.64, 3.45%), and 0.60% (95%CI: 0.11,1.10%) in cardiovascular-related EAD, and an increase of 1.14% (95% CI: 0.25, 2.04%), 2.52% (95% CI: 0.72, 4.35%), and 0.89% (95%CI: 0.25,1.52%) in respiratory-related EAD at lag03, respectively. The results were robust in subgroup and sensitivity analyses.Conclusions
This study revealed that PM2.5, PM2.5-10 and PM10 were significantly related with risks of all-cause and cause-specific EAD. More evidence of high quality may be needed to further support our results in this ecological study.
SUBMITTER: Wang X
PROVIDER: S-EPMC7301562 | biostudies-literature | 2020 Jun
REPOSITORIES: biostudies-literature
Wang Xiaojie X Tian Junzhang J Li Ziyi Z Lai Jun J Huang Xin X He Yongcong Y Ye Zebing Z Li Guowei G
Environmental health : a global access science source 20200617 1
<h4>Background</h4>Evidence on the relationship between different particle size fractions and emergency ambulance dispatches (EAD) remains limited and sparse.<h4>Methods</h4>We collected daily data of EAD, ambient air pollution and meteorological data from 2014 to 2018 in Guangzhou, China. We used a generalized additive model with covariate adjustments to estimate the associations between different particle size fractions and EAD related to all-cause, cardiovascular diseases, and respiratory dis ...[more]