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Changes in PM2.5-related diabetes risk under the implementation of the clean air act in Shanghai  ( SCI-EXPANDED收录)  

文献类型:期刊文献

英文题名:Changes in PM2.5-related diabetes risk under the implementation of the clean air act in Shanghai

作者:Hu, Kai[1];Cao, Baige[2];Lu, Huijuan[3];Xu, Jinfang[4];Zhang, Yinan[3];Wang, Congrong[2,5]

机构:[1]East China Univ Sci & Technol, Sch Social & Publ Adm, Dept Sociol, Meilong Rd 130, Shanghai 200237, Peoples R China;[2]Tongji Univ, Shanghai Peoples Hosp 4, Sch Med, Dept Endocrinol & Metab, Shanghai 200434, Peoples R China;[3]Shanghai Jiao Tong Univ, Shanghai Peoples Hosp 6, Sch Med, Metab Dis Biobank, 600 Yishan Rd, Shanghai 200233, Peoples R China;[4]Naval Med Univ, Dept Hlth Stat, Shanghai 200433, Peoples R China;[5]Tongji Univ, Shanghai Peoples Hosp 4, Sch Med, 1279 Sanmen Rd, Shanghai 200434, Peoples R China

年份:2024

卷号:212

外文期刊名:DIABETES RESEARCH AND CLINICAL PRACTICE

收录:;WOS:【SCI-EXPANDED(收录号:WOS:001246134900001)】;

基金:This work was supported by the Shanghai Science and Technology Development Funds (Grant No. 22410713200) , Key disci-pline project of Hongkou District Health Commission (HKLCFC202403) , Open research project of Shanghai Key Laboratory of Diabetes mellitus (SHKLD-KF-2101) , Research fund from Shanghai Fourth People's Hospital (sykyqd01801, SY-XKZT-2021-1001) , Shanghai Research Center for Endocrine and Metabolic Diseases (Grant No. 2022ZZ01002) , and Shanghai Pujiang Programme (23PJC022) .

语种:英文

外文关键词:Clean air act; Diabetes mellitus; Long -term exposure; Environmental policy

摘要:Objectives: We examined the associations between PM2.5 exposure and Type 2 diabetes mellitus risk under the implementation of the Clean Air Act (CAA) among high-risk population for diabetes in Shanghai. Methods: A total of 10,499 subjects from the Shanghai High-Risk Diabetic Screen (SHiDS) project between 2002 and 2018, linked with remotely sensed PM2.5 concentrations, were enrolled in this study. Ordinary least squares and logistic regression were applied to explore associations between PM2.5 and diabetes risk in various exposure periods. Results: In year 2002-2013 (before CAA), the diabetes risk increased 7.5 % (95 % CI: 1.018-1.137), 8.0 % (95 % CI: 1.022-1.142) and 7.9 % (95 % CI: 1.021-1.141) under each 10 mu g/m3 increase of long-term (1, 2 and 3 years) PM2.5 exposure, respectively. Elevated PM2.5 exposure were also associated with a significant increase in glycemic parameters before CAA implementation. However, in the year 2014-2018 (after CAA), the associations between PM2.5 exposure and diabetes risk were not significant after controlling for potential confounders. Conclusion: Our findings suggest that long-term and high-level exposure to PM2.5 was associated with increased prevalence of diabetes. Moreover, the implementation of CAA might ameliorate PM2.5-related diabetes risk.

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