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Table 5 Associations between night rMSSD and residual metal exposures

From: PM2.5 metal exposures and nocturnal heart rate variability: a panel study of boilermaker construction workers

  

Model 3

Model 4

 

Metal Residual

Metal Residual

Metal Residual

PM2.5

 

Q25 – Q75

β1

(95% CI)

β1

(95% CI)

β2

(95% CI)

Al

-0.57 – 0.59

-1.15

(-3.04, 0.74)

-0.138

(-2.22, 1.95)

-0.005*

(-0.012, 0.001)

Cr

-0.03 – 0.02

-6.59

(-49.78, 36.59)

3.40

(-19.22, 26.02)

-0.006**

(-0.010, -0.001)

Cu

-1.30 – 0.95

0.388

(-0.679, 1.46)

0.093

(-0.613, 0.799)

-0.005**

(-0.010, – 0.000)

Fe

-41.89 – 34.08

0.014

(-0.022, 0.050)

-0.002

(-0.032, 0.028)

-0.006*

(-0.012, 0.000)

Mn

-6.69 – 7.55

-0.250**

(-0.331, -0.169)

-0.145*

(-0.348, 0.058)

-0.003

(-0.007, 0.002)

Ni

-0.07 – 0.05

4.56

(-15.41, 24.52)

1.03

(-11.10, 13.16)

-0.005**

(-0.010, -0.000)

Pb

-0.05 – 0.02

-1.95

(-37.33, 33.43)

-0.545

(-23.61, 22.53)

-0.005**

(-0.010, -0.001)

Zn

-1.69 – 1.24

0.076

(-0.991, 1.14)

0.105

(-0.625, 0.834)

-0.006**

(-0.010, -0.001)

  1. The metal residuals are from the regression of total PM2.5 and each metal component, and represent the variation in metal exposure not due to PM2.5. Model 3: mixed effects linear regression models for each individual metal residual, adjusted for baseline night rMSSD and smoking status. Model 4: mixed effects linear regression models with each individual metal residual and PM2.5, adjusted for baseline night rMSSD and smoking status. Regression coefficients (β) are expressed as change in msec of night rMSSD (msec) per 1 μg/m3 increase in metal residual after adjusting for baseline HRV, smoking status and with or without adjustment for total PM2.5. *p < 0.10 **p < 0.05.