Authors
Mengmeng Liu
Zhiwei Li
Feng Lu
Moning Guo
Lixin Tao
Mengyang Liu
Yue Liu
Aklilu Deginet
Yaoyu Hu
Yutong Li
Mengqiu Wu
Yanxia Luo
Xiaonan Wang
Xinghua Yang
Bo Gao
Xiuhua Guo, Edith Cowan UniversityFollow
Xiangtong Liu
Document Type
Journal Article
Publication Title
Ecotoxicology and environmental safety
Volume
226
First Page
112794
PubMed ID
34592518
Publisher
Elsevier
School
Centre for Precision Health / School of Medical and Health Sciences
Funders
National Natural Science Foundation of China (No. 82003559)
Abstract
BACKGROUND: Scientific studies have identified various adverse effects of particulate matter (PM) on respiratory disease (RD) and type 2 diabetes (T2D). However, whether short-term exposure to PM triggers the onset of RD with T2D, compared with RD without T2D, has not been elucidated. METHODS: A two-stage time-series study was conducted to evaluate the acute adverse effects of PM on admission for RD and for RD with and without T2D in Beijing, China, from 2014 to 2020. District-specific effects of PM and PM were estimated using the over-dispersed Poisson generalized addictive model after adjusting for weather conditions, day of the week, and long-term and seasonal trends. Meta-analyses were applied to pool the overall effects on overall and cause-specific RD, while the exposure-response (E-R) curves were evaluated using a cubic regression spline. RESULTS: A total of 1550,154 admission records for RD were retrieved during the study period. Meta-analysis suggested that per interquartile range upticks in the concentration of PM corresponded to 1.91% (95% CI: 1.33-2.49%), 2.16% (95% CI: 1.08-3.25%), and 1.92% (95% CI: 1.46-2.39%) increments in admission for RD, RD with T2D, and RD without T2D, respectively, at lag 0-8 days, lag 8 days, and lag 8 days. The effect size of PM was statistically significantly higher in the T2D group than in the group without T2D (z = 3.98, P < 0.01). The effect sizes of PM were 3.86% (95% CI: 2.48-5.27%), 3.73% (95% CI: 1.72-5.79%), and 3.92% (95% CI: 2.65-5.21%), respectively, at lag 0-13 days, lag 13 days, and lag 13 days, respectively, and no statistically significant difference was observed between T2D groups (z = 0.24, P = 0.81). Significant difference was not observed between T2D groups for the associations of PM and different RD and could be found between three groups for effects of PM on RD without T2D. The E-R curves varied by sex, age and T2D condition subgroups for the associations between PM and daily RD admissions. CONCLUSIONS: Short-term PM exposure was associated with increased RD admission with and without T2D, and the effect size of PM was higher in patients with T2D than those without T2D.
DOI
10.1016/j.ecoenv.2021.112794
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Comments
Liu, X., Li, Z., Guo, M., Zhang, J., Tao, L., Xu, X., ... & Guo, X. (2021). Acute effect of particulate matter pollution on hospital admissions for stroke among patients with type 2 diabetes in Beijing, China, from 2014 to 2018. Ecotoxicology and Environmental Safety, 217, 112201. https://doi.org/10.1016/j.ecoenv.2021.112794