10.6084/M9.FIGSHARE.21435549
Yinglin Wu
Yinglin
Wu
Sun Yat-sen University
Shiyu Zhang
Shiyu
Zhang
Sun Yat-sen University
Samantha E. Qian
Samantha E.
Qian
Saint Louis University
Miao Cai
Miao
Cai
Sun Yat-sen University
Haitao Li
Haitao
Li
Shenzhen University
Chongjian Wang
Chongjian
Wang
Zhengzhou University
Hongtao Zou
Hongtao
Zou
Sun Yat-sen University
Lan Chen
Lan
Chen
Sun Yat-sen University
Michael G. Vaughn
Michael G.
Vaughn
Saint Louis University
Stephen Edward McMillin
Stephen Edward
McMillin
Saint Louis University
Hualiang Lin
Hualiang
Lin
0000-0002-3643-9408
Sun Yat-sen University
Additional file 1 of Ambient air pollution associated with incidence and dynamic progression of type 2 diabetes: a trajectory analysis of a population-based cohort
Additional file 1: Details of outcomes. Table S1. The UDI, definition and measurements of covariates. Table S2. Characteristics of the participants included or excluded in the study. Table S3. Distributions of the annual average exposures among 398,993 participants. Table S4. Associations between air pollution and risk of cause-specific mortality. Table S5. Results of 2-pollutant models. Table S6. Results of sensitivity analyses in the model including traffic noise (n = 393,515). Table S7. Results of sensitivity analyses using different time intervals. Table S8. Results of sensitivity analyses after excluding deaths not from diabetes or diabetes complications (n = 380,437). Table S9. Results of sensitivity analyses using complete data (n = 318,019). Table S10. Results excluding the participants diagnosed with T2D and complications on the same date (n = 396,961). Figure S1. Flowchart of participants included in this study. Figure S2. Transitions from baseline to T2D, diabetes complications, and cause-specific mortality. Figure S3. Spearman’s correlation coefficients between air pollutant exposures. Figure S4. Exposure-response associations between air pollution exposure and different transitions of T2D. Figure S5. Effect modifications of the association between PM10 and five transitions of T2D. Figure S6. Effect modifications of the association between PM2.5 and five transitions of T2D. Figure S7. Effect modifications of the association between NOx and five transitions of T2D. Figure S8. Effect modifications of the association between NO2 and five transitions of T2D.
Medicine
Environmental Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Marine Biology
Science Policy
Computational Biology
figshare
2022
2022-10-31
2023-06-02
Journal contribution
2260455 Bytes
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