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. 2017 May 26;12(8):607–615. doi: 10.1080/15592294.2017.1320637

Table 4.

Multivariable linear regression models for the association of prenatal metals exposure and placental DNA methylation to NR3C1.

  Unadjusted Adjusted
Arsenic    
 Low Ref Ref
 Mid 0.71 (0.04)
<0.001
0.74 (0.04)
0.001
 High 0.69 (0.04)
<0.001
0.71 (0.04)
0.0002
Cadmium    
 Low Ref Ref
 Mid 0.71 (0.04)
<0.001
0.71 (0.04)
<0.001
 High 0.73 (0.04)
<0.001
0.74 (0.04)
<0.001
Lead    
 Low Ref Ref
 Mid 0.80 (0.04)
0.02
0.81 (0.04)
0.02
 High 0.74 (0.04)
<0.001
0.77 (0.04)
0.004
Manganese    
 Low Ref Ref
 Mid 0.89 (0.04)
0.21
0.92 (0.04)
0.38
 High 0.77 (0.04)
0.006
0.80 (0.04)
0.02
Mercury    
 Low Ref Ref
 Mid 0.96 (0.04)
0.62
1.01 (0.04)
0.90
 High 1.39 (0.04)
<0.001
1.41 (0.04)
<0.001
Zinc    
 Low 1.22 (0.04)
0.04
1.26 (0.04)
0.01
 Mid 1.04 (0.04)
0.65
1.10 (0.04)
0.32
 High Ref Ref
Cumulative Risk    
 Low Ref Ref
 Mid 1.03 (0.04)
0.7862
1.02 (0.04)
0.81
 High 0.83 (0.04)
0.04
0.86 (0.04)
0.09

Top cell entries β (SE), bottom cell entry P-value. Adjusted models control for maternal age, race, education, pre-pregnancy BMI, prenatal tobacco use, prenatal depression, infant gender, and birthweight percentile. High, Mid, and Low levels of exposure correspond to tertiles of the distributions for each metal.