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Risk Analysis of Air Pollution and Meteorological Factors Affecting the Incidence of Diabetes in the Elderly Population in Northern China
Joint Authors
Saijun, Zhou
Lin, Yao
Liu, Hongyan
Cui, Zhuang
Hou, Fang
Feng, Siyuan
Zhang, Yourui
Liu, Hao
Lu, Chunlan
Yu, Pei
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-20
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Background.
Research investigating the effect of air pollution on diabetes incidence is mostly conducted in Europe and the United States and often produces conflicting results.
The link between meteorological factors and diabetes incidence remains to be explored.
We aimed to explore associations between air pollution and diabetes incidence and to estimate the nonlinear and lag effects of meteorological factors on diabetes incidence.
Methods.
Our study included 19,000 people aged ≥60 years from the Binhai New District without diabetes at baseline.
The generalized additive model (GAM) and the distributed lag nonlinear model (DLNM) were used to explore the effect of air pollutants and meteorological factors on the incidence of diabetes.
In the model combining the GAM and DLNM, the impact of each factor (delayed by 30 days) was first observed separately to select statistically significant factors, which were then incorporated into the final multivariate model.
The association between air pollution and the incidence of diabetes was assessed in subgroups based on age, sex, and body mass index (BMI).
Results.
We found that cumulative RRs for diabetes incidence were 1.026 (1.011-1.040), 1.019 (1.012-1.026), and 1.051 (1.019-1.083) per 10 μg/m3 increase in PM2.5, PM10, and NO2, respectively, as well as 1.156 (1.058-1.264) per 1 mg/m3 increase in CO in a single-pollutant model.
Increased temperature, excessive humidity or dryness, and shortened sunshine duration were positively correlated with the incidence of diabetes in single-factor models.
After adjusting for temperature, humidity, and sunshine, the risk of diabetes increased by 9.2% (95% confidence interval (CI):2.1%-16.8%) per 10 μg/m3 increase in PM2.5.
We also found that women, the elderly (≥75 years), and obese subjects were more susceptible to the effect of PM2.5.
Conclusion.
Our data suggest that PM2.5 is positively correlated with the incidence of diabetes in the elderly, and the relationship between various meteorological factors and diabetes in the elderly is nonlinear.
American Psychological Association (APA)
Lin, Yao& Saijun, Zhou& Liu, Hongyan& Cui, Zhuang& Hou, Fang& Feng, Siyuan…[et al.]. 2020. Risk Analysis of Air Pollution and Meteorological Factors Affecting the Incidence of Diabetes in the Elderly Population in Northern China. Journal of Diabetes Research،Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1183052
Modern Language Association (MLA)
Lin, Yao…[et al.]. Risk Analysis of Air Pollution and Meteorological Factors Affecting the Incidence of Diabetes in the Elderly Population in Northern China. Journal of Diabetes Research No. 2020 (2020), pp.1-20.
https://search.emarefa.net/detail/BIM-1183052
American Medical Association (AMA)
Lin, Yao& Saijun, Zhou& Liu, Hongyan& Cui, Zhuang& Hou, Fang& Feng, Siyuan…[et al.]. Risk Analysis of Air Pollution and Meteorological Factors Affecting the Incidence of Diabetes in the Elderly Population in Northern China. Journal of Diabetes Research. 2020. Vol. 2020, no. 2020, pp.1-20.
https://search.emarefa.net/detail/BIM-1183052
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183052