Additional file 1: of Association of pulmonary, cardiovascular, and hematologic metrics with carbon nanotube and nanofiber exposure among U.S. workers: a cross-sectional study

Table S1. Participation rates by facility. Table S2. Current and past self-reported exposure frequency among cross-sectional study participants. Table S3. Scoring method for risk factors used in cardiovascular health metrics score. Table S4. Distribution of cardiovascular health metric (CHM) score values, where a higher score implies better cardiovascular health. Table S5. Frequency of chest symptoms or respiratory illnesses among 108 study participants. Table S6. Results of univariable logistic regression modeling of personal characteristics and occupational exposures for development of chest symptoms or respiratory allergy after the start of CNT/F work. Table S7. Results of univariable linear regression modeling of pulmonary function metrics (highlight indicates selected in “best model” by Schwarz Bayesian Criterion and considered as potential confounder in multiple linear regression model with main exposure variables). Table S8. Results of univariable linear regression modeling of cardiovascular metrics (highlight indicates selected in “best model” by Schwarz Bayesian Criterion and considered as potential confounder in multiple linear regression model with main exposure variables). Table S9. Results of univariable linear regression modeling of natural log (ln)-transformed WBC and differential metrics (highlight indicates selected in “best model” by Schwarz Bayesian Criterion and considered as potential confounder in multiple linear regression model with main exposure variables). Table S10. Results of univariable linear regression modeling of other transformed CBC metrics (highlight indicates selected in “best model” by Schwarz Bayesian Criterion and considered as potential confounder in multiple linear regression model with main exposure variables). (DOCX 41 kb