Additional file 1 of Associations of time-weighted individual exposure to ambient particulate matter with carotid atherosclerosis in Beijing, China
Creators: name: Han, Ze
name: Zhao, Xiaoyu
name: Xu, Zongkai
name: Wang, Jinqi
name: Jin, Rui
name: Liu, Yueruijing
name: Wu, Zhiyuan
name: Zhang, Jie
name: Li, Xia
name: Guo, Xiuhua
name: Tao, Lixin
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Physiology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1: Additional file A1 illustrated information for several parts of questionnaire for BHMC study. Table A1. Information about predictive model accuracy for each pollutant. PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; PM10, particulate matter with aerodynamic diameter &lt;10 μm; NO2, nitrogen dioxide; SO2, sulfur dioxide; O3, ozone; CO, carbon monoxide; RMSE, root mean square error; MAE, mean absolute error. Table A2. Correlation analysis between individual exposure to PM2.5 and PM10 estimated based on time-weighed method, residential address and work address * P values &lt;0.05 for Spearman correlation coefficients. PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; PM10, particulate matter with aerodynamic diameter &lt;10 μm. Table A3. Spearman’s correlation coefficients between individual time-weighted average exposure to ambient pollutants * P values &lt;0.05 for correlation coefficients. PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; PM10, particulate matter with aerodynamic diameter &lt;10 μm; NO2, nitrogen dioxide; SO2, sulfur dioxide; O3, ozone; CO, carbon monoxide. Table A4. Estimated risk for carotid atherosclerosis associated with individual time-weighted average exposure to PM2.5 a Model 1: adjusted for age and gender.  b Model 2: adjusted for variables in model 1, as well as education level, smoking status, drinking status, physical activity intensity, excessive salt intake and medication history of hypertension, diabetes and hyperlipidemia.  c Model 3: adjusted for variables in model 2 plus BMI, MAP, UA, FBG, LDL-C, HDL-C and TG. Ref, Reference; PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; Q, quartile; HR, hazard ratio; CI, confidence interval; IQR, interquartile range; FBG, fasting blood glucose; MAP, mean arterial pressure; BMI, body mass index; LDL-C, low-density lipoprotein cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; UA, uric acid. Table A5. Estimated risk for carotid atherosclerosis associated with individual time-weighted average exposure to PM10 a Model 1: adjusted for age and gender. b Model 2: adjusted for variables in model 1, as well as education level, smoking status, drinking status, physical activity intensity, excessive salt intake and medication history of hypertension, diabetes and hyperlipidemia. c Model 3: adjusted for variables in model 2 plus BMI, MAP, UA, FBG, LDL-C, HDL-C and TG. Ref, Reference; PM10, particulate matter with aerodynamic diameter &lt;10 μm; Q, quartile; HR, hazard ratio; CI, confidence interval; IQR, interquartile range; FBG, fasting blood glucose; MAP, mean arterial pressure; BMI, body mass index; LDL-C, low-density lipoprotein cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol; UA, uric acid. Table A6. Estimated risk for carotid atherosclerosis in multi-pollutant models according to quantile g-computation. Covariates in model 3 were adjusted for. Coefficient indicates the separate effect among the total effect for individual pollutants. Weight indicates the importance of each pollutant which has the same effect direction. Estimate indicates the combined estimated coefficient. PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; PM10, particulate matter with aerodynamic diameter &lt;10 μm; NO2, nitrogen dioxide; SO2, sulfur dioxide; O3, ozone; CO, carbon monoxide; HR, hazard ratio; CI, confidence interval. Table A7. Sensitivity analyses for the association between PM2.5 exposure and carotid atherosclerosis Variables was adjusted for in model 3. - Because of high correlation and collinearity, two-pollutant model was not conducted. a The estimation of individual exposure did not consider pollutant infiltration from outdoor to indoor environment. b Individuals with complete work address (n=11843) were included in the analysis. c Individuals with missing values of time-weighted variables were excluded (n=836). Ref, Reference; PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; Q, quartile; HR, hazard ratio; CI, confidence interval; NO2, nitrogen dioxide; SO2, sulfur dioxide; O3, ozone; CO, carbon monoxide. Table A8. Sensitivity analyses for the association between PM10 exposure and carotid atherosclerosis Variables was adjusted for in model 3. - Because of high correlation and collinearity, two-pollutant model was not conducted. a The estimation of individual exposure did not consider pollutant infiltration from outdoor to indoor environment. b Individuals with complete work address (n=11843) were included in the analysis. c Individuals with missing values of time-weighted variables were excluded (n=836). Ref, Reference; PM10, particulate matter with aerodynamic diameter &lt;10 μm; Q, quartile; HR, hazard ratio; CI, confidence interval; NO2, nitrogen dioxide; O3, ozone; CO, carbon monoxide. Table A9. Subgroup analyses exploring the association between individual PM2.5 exposure and carotid atherosclerosis Variables was adjusted for in model 3. Ref, Reference; PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; Q, quartile; HR, hazard ratio; CI, confidence interval; BMI, body mass index; LDL-C, low density lipoprotein cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol. Table A10. Subgroup analyses exploring the association between individual PM10 exposure and carotid atherosclerosis Variables was adjusted for in model 3. Ref, Reference; PM10, particulate matter with aerodynamic diameter &lt;10 μm; Q, quartile; HR, hazard ratio; CI, confidence interval; BMI, body mass index; LDL-C, low-density lipoprotein cholesterol; TG, triglycerides; HDL-C, high-density lipoprotein cholesterol. Fig. A1. Combined effect of personal time-weighted average exposure to mixed ambient pollutants on the risk of carotid atherosclerosis. A and B represented the weight of one- and two-year co-exposure to ambient air pollutants on the risk of carotid atherosclerosis, respectively, according to quantile g-computation regression. PM10, particulate matter with aerodynamic diameter &lt;10 μm; PM2.5, particulate matter with aerodynamic diameter &lt;2.5 μm; NO2, nitrogen dioxide; SO2, sulfur dioxide; O3, ozone; CO, carbon monoxide.