Relationship between different particle size fractions and all-cause and cause-specific emergency ambulance dispatches.
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
Emergency ambulance dispatches
Particle size
Particulate matter
Journal
Environmental health : a global access science source
ISSN: 1476-069X
Titre abrégé: Environ Health
Pays: England
ID NLM: 101147645
Informations de publication
Date de publication:
17 06 2020
17 06 2020
Historique:
received:
11
02
2020
accepted:
29
05
2020
entrez:
20
6
2020
pubmed:
20
6
2020
medline:
25
11
2020
Statut:
epublish
Résumé
Evidence on the relationship between different particle size fractions and emergency ambulance dispatches (EAD) remains limited and sparse. 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. Significant associations were observed between PM This study revealed that PM
Sections du résumé
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 PM
CONCLUSIONS
This study revealed that PM
Identifiants
pubmed: 32552755
doi: 10.1186/s12940-020-00619-5
pii: 10.1186/s12940-020-00619-5
pmc: PMC7301562
doi:
Substances chimiques
Air Pollutants
0
Particulate Matter
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
69Subventions
Organisme : Guangzhou medical and health science and technology project
ID : 20161A031004
Pays : International
Organisme : the Science Foundation of Guangdong Second Provincial General Hospital
ID : YY2018-002
Pays : International
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