Table 5. Association of cumulative level of exposurea to PM metal components and total PM mass with H3K4me2 and H3K9ac.
Association with H3K4me2 | Association with H3K9ac | |||||||||||||||
Unadjusted | Adjustedb | Unadjusted | Adjustedb | |||||||||||||
Exposure | β-Coefficient (95% CI) | p-Value | β-Coefficient (95% CI) | p-Value | β-Coefficient(95% CI) | p-Value | β-Coefficient(95% CI) | p-Value | ||||||||
Aluminium | 0.01 (–0.03 to 0.04) | 0.61 | 0.02 (–0.02 to 0.06) | 0.44 | –0.02 (–0.09 to 0.04) | 0.48 | –0.03 (–0.1 to 0.05) | 0.48 | ||||||||
Manganese | 0.01 (–0.02 to 0.04) | 0.33 | 0.02 (–0.02 to 0.05) | 0.35 | –0.01 (–0.07 to 0.04) | 0.63 | 0.00 (–0.06 to 0.05) | 0.86 | ||||||||
Nickel | 0.11 (–0.01 to 0.23) | 0.07 | 0.16 (0.01 to 0.3) | 0.03 | 0.26 (0.04 to 0.49) | 0.02 | 0.27 (0.01 to 0.54) | 0.04 | ||||||||
Zinc | 0.06 (–0.03 to 0.15) | 0.21 | 0.06 (–0.05 to 0.17) | 0.30 | –0.02 (–0.21 to 0.16) | 0.80 | –0.03 (–0.24 to 0.18) | 0.78 | ||||||||
Arsenic | 0.14 (0.03 to 0.26) | 0.01 | 0.16 (0.03 to 0.29) | 0.02 | 0.30 (0.09 to 0.51) | 0.01 | 0.28 (0.04 to 0.51) | 0.02 | ||||||||
Lead | 0.02 (–0.02 to 0.06) | 0.35 | 0.02 (–0.03 to 0.06) | 0.38 | –0.03 (–0.11 to 0.05) | 0.42 | –0.02 (–0.1 to 0.06) | 0.65 | ||||||||
Iron | 0.09 (–0.03 to 0.21) | 0.14 | 0.12 (–0.02 to 0.27) | 0.09 | 0.25 (0.03 to 0.48) | 0.03 | 0.24 (–0.03 to 0.5) | 0.08 | ||||||||
PM10 | 0.03 (–0.04 to 0.11) | 0.41 | 0.05 (–0.04 to 0.14) | 0.26 | 0.00 (–0.14 to 0.15) | 0.99 | 0.00 (–0.17 to 0.17) | 0.97 | ||||||||
PM1 | 0.03 (–0.07 to 0.13) | 0.53 | 0.07 (–0.06 to 0.21) | 0.29 | 0.08 (–0.11 to 0.28) | 0.40 | 0.08 (–0.17 to 0.32) | 0.54 | ||||||||
Data are regression coefficient (β) and 95% CI expressing the change in histone modifications (OD units) associated with an increase in exposure equal to the difference between the 90th and 10th percentile of the exposure distribution. aCumulative levels of exposure were estimated as the product of personal level of exposure to PM metal components or total PM mass and years of employment in the job. bMultivariable regression models adjusted for age, BMI, education, pack-years, and percent granulocytes. |