Relationship between different particle size fractions and all-cause and cause-specific emergency ambulance dispatches

Environ Health. 2020 Jun 17;19(1):69. doi: 10.1186/s12940-020-00619-5.

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 μg/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.

Keywords: Emergency ambulance dispatches; Particle size; Particulate matter.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aged
  • Aged, 80 and over
  • Air Pollutants / adverse effects*
  • Air Pollution / adverse effects*
  • Ambulances / statistics & numerical data*
  • Cardiovascular Diseases / epidemiology
  • China / epidemiology
  • Emergency Service, Hospital / statistics & numerical data*
  • Environmental Exposure / adverse effects*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Models, Theoretical
  • Particle Size*
  • Particulate Matter / adverse effects*
  • Respiratory Tract Diseases / epidemiology

Substances

  • Air Pollutants
  • Particulate Matter