2020
DOI: 10.1136/bmjopen-2019-032974
|View full text |Cite
|
Sign up to set email alerts
|

Short-term associations between ambient air pollution and stroke hospitalisations: time-series study in Shenzhen, China

Abstract: ObjectiveTo investigate the association between ambient air pollution and stroke morbidity in different subgroups and seasons.MethodsWe performed a time-series analysis based on generalised linear models to study the short-term exposure–response relationships between air pollution and stroke hospitalisations, and conducted subgroup analyses to identify possible sensitive populations.ResultsFor every 10 µg/m3increase in the concentration of air pollutants, across lag 0–3 days, the relative risk of stroke hospit… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
17
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
9
1

Relationship

1
9

Authors

Journals

citations
Cited by 32 publications
(18 citation statements)
references
References 45 publications
1
17
0
Order By: Relevance
“…Consistent with existing studies (Wang et al, 2020), we have added evidence for a U-shaped nonlinear NO2cerebrovascular disease association, where morbidity leveled off at low exposure levels and increased sharply with higher exposure. Another recent time-series study estimated an increased risk of 1.054 (95% CI: 1.031, 1.077) in stroke morbidity per 10 μg/m 3 increase in NO2 across lag 0-3 days (Guo et al, 2020). It is difficult to directly compare the nonlinear and lag effects across cities due to the different study designs and model specifications.…”
Section: Discussionmentioning
confidence: 99%
“…Consistent with existing studies (Wang et al, 2020), we have added evidence for a U-shaped nonlinear NO2cerebrovascular disease association, where morbidity leveled off at low exposure levels and increased sharply with higher exposure. Another recent time-series study estimated an increased risk of 1.054 (95% CI: 1.031, 1.077) in stroke morbidity per 10 μg/m 3 increase in NO2 across lag 0-3 days (Guo et al, 2020). It is difficult to directly compare the nonlinear and lag effects across cities due to the different study designs and model specifications.…”
Section: Discussionmentioning
confidence: 99%
“…Three dominant air pollutants in the local city, the PM 2.5 , NO 2 , and O 3 , were entered as covariates, considering their impact on ICH onset. [15][16][17] Pollutant data were from the local Ecological and Environment Bureau (http:// sthj.chengdu.gov.cn/).…”
Section: Meteorological Data and Air Pollutantsmentioning
confidence: 99%
“…Many factors have been confirmed to be related to IS, including smoking, lacking of physical exercise, hypertension, obesity, and atrial fibrillation ( 5 ). In addition, increasing epidemiological evidence has shown a striking relationship between air pollution exposure and IS ( 6 , 7 ). A study conducted in nine US counties demonstrated the short-term effects of PM 10 , CO, SO 2 , and NO 2 on hospitalizations for IS ( 8 ).…”
Section: Introductionmentioning
confidence: 99%