2023
DOI: 10.1016/j.envres.2022.114596
|View full text |Cite
|
Sign up to set email alerts
|

Ambient air pollution and hospitalization for type 2 diabetes in China: A nationwide, individual-level case-crossover study

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
16
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 10 publications
(16 citation statements)
references
References 35 publications
0
16
0
Order By: Relevance
“…Different pronounced effects in cold and warm seasons may be owing to various characteristic of air pollution, climate conditions and pollutant sources. Previous studies have found stronger association between air pollution and T2DM HAs in cold season (Luo et al., 2023). With less rain and wind during cold season, the higher levels of particle pollutants are associated with slower diffusion.…”
Section: Discussionmentioning
confidence: 78%
“…Different pronounced effects in cold and warm seasons may be owing to various characteristic of air pollution, climate conditions and pollutant sources. Previous studies have found stronger association between air pollution and T2DM HAs in cold season (Luo et al., 2023). With less rain and wind during cold season, the higher levels of particle pollutants are associated with slower diffusion.…”
Section: Discussionmentioning
confidence: 78%
“…We obtained daily hospitalization events from the SuValue database, details of which have been described elsewhere. , In brief, this database links hospitals across 20 provincial-level regions in China and generates a structured patient-level database after extracting, validating, and aggregating medical records directly from the hospital information system. In this analysis, we extracted hospitalization data for cardiovascular diseases from 153 hospitals in the SuValue database during the study period from 2013 to 2020 (Figure S1).…”
Section: Methodsmentioning
confidence: 99%
“…Although extensive evidence has investigated the associations between ambient air pollution and T2DM-related outcomes, [16][17][18][19][20][21][22] there are still some gaps in our understanding. First, the majority of prior studies have assessed the correlations between long-term air pollution exposure and the prevalence and incidence of T2DM.…”
Section: Introductionmentioning
confidence: 99%
“…First, the majority of prior studies have assessed the correlations between long-term air pollution exposure and the prevalence and incidence of T2DM. 23,24 Few investigations have been performed on the relationship between short-term exposures and T2DM morbidity risk, [16][17][18]22 although short-term exposure to air pollution has been demonstrated to potentially lead to metabolic disruption. 23,24 Second, the results regarding the associations between short-term exposure to air pollution and T2DM morbidity risk were inconclusive.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation