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. 2013 Oct 17;8(12):1321–1329. doi: 10.4161/epi.26634

Table 2. Hierarchical linear regression predicting newborn neurobehavior at birth.

Predictors β step 1 β step 2 R2 F
Outcome: Self-regulation
Infant sex 0.07 0.05    
Maternal age −0.04 −0.06    
Birth weight 0.05 0.06    
Maternal anxiety 0.15 0.14    
Maternal depression <0.001 0.05    
NR3C1 CpG2 methylation 0.04 0.04    
      0.03 0.95
Maternal depression x NR3C1 CpG2 methylation - −0.16*    
    ∆R2 = 0.02* 0.06 10.46
Outcome: Hypotonia
Infant sex 0.08 0.11    
Maternal age −0.10 −0.06    
Birth weight −0.36 −0.37    
Maternal anxiety −0.04 −0.02    
Maternal depression 0.12 0.04    
NR3C1 CpG2 methylation 0.03 0.03    
      0.16 50.55
Maternal depression x NR3C1 CpG2 methylation 0.25    
    ∆R2 = 0.06 0.21 60.81
Outcome: Lethargy
Infant sex 0.14 0.16*    
Maternal age −0.03 0.002    
Birth weight −0.13 −0.14    
Maternal anxiety −0.05 −0.03    
Maternal depression 0.19* 0.13    
NR3C1 CpG2 methylation −0.09 −0.09    
      0.06 20.04
Maternal depression x NR3C1 CpG2 methylation 0.19    
    ∆R2 = 0.03 0.10 20.68
Outcome: Hypotonia
Infant sex 0.08 0.09    
Maternal age −0.06 −0.05    
Birth weight −0.27 −0.27    
Maternal tobacco use during pregnancy 0.13* 0.13*    
Maternal anxiety −0.05 −0.08    
Maternal depression 0.15 0.16    
11β-HSD-2 CpG4 methylation 0.06 0.06    
      0.10 50.76
Maternal anxiety x 11β-HSD-2 CpG4 methylation 0.10*    
    ∆R2 = 0.01* 0.11 30.68*
*

P < 0.05, P < 0.01, P < 0.001