Skip to main content
. 2015 Jun 26;124(3):365–372. doi: 10.1289/ehp.1408933

Table 2.

Multiple-exposure elastic net penalized regression modelsaEN) for term birth weight.

Potential predictor (increment) Adjusted Plus gestational age Further adjusted
ln-MEHHP (1.70 ng/mL) –64.67b –59.43b –48.61
ln-MEOHP (1.29 ng/mL) –0.15 0 0
ln-MECPP (1.42 ng/mL) 0 0 0
ln-MHiNP (2.74 ng/mL) 0 0 0
ln-MOiNP (2.22 ng/mL) 23.81 22.26 16.31
ln-MCiOP (2.32 ng/mL) 0 0 0
ln-PFHxS (1.24 ng/mL) –3.49 0 0
ln-PFHpA (1.84 ng/mL) 0 0 0
ln-PFOS (1.60 ng/mL) 0 0 0
ln-PFOA (1.18 ng/mL) –11.51 –10.11 –38.82
ln-PFNA (1.03 ng/mL) –7.05 –7.69 0
ln-PFDA (1.40 ng/mL) 0 0 0
ln-PFUnDA (2.10 ng/mL) 0 0 0
ln-PFDoDA (1.67 ng/mL) –22.56 0 0
ln-PCB-153 (2.43 ng/g) 0 0 0
ln-p,p´-DDE (1.82 ng/g) –106.39b –76.63b –47.02b
Regression coefficients (βEN) represent the change in mean birth weight (g) for term infants per increment: a 2-SD increase in ln-transformed exposure biomarker levels. βEN for the modeled, unpenalized covariates are not shown. aThe cross-validated optimum penalization was α = 1.00, λ = 3.32 (MSE = 205,061) for the adjusted model (minimal sufficient set: study population, maternal age, prepregnancy BMI, and parity); α = 1.00, λ = 3.32 (MSE = 177,179) for the model additionally adjusted for gestational age; and α = 0.98, λ = 2.46 (MSE = 166,329) for the further adjusted model (plus infant sex, maternal height, alcohol consumption, serum cotinine, and vitamin D). All models, n = 1,250. bCovariance test (Lockhart et al. 2014) p < 0.05: p-values were 0.002, < 0.001, and 0.345 for MEHHP and < 0.001, 0.017, 0.046 for p,p´-DDE in the minimally adjusted, plus gestational age, and further adjusted models, respectively. p = 0.071 for PFOA in the further adjusted model; all other p-values were > 0.10.