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. Author manuscript; available in PMC: 2021 Jun 1.
Published in final edited form as: Environ Res. 2020 Mar 16;185:109395. doi: 10.1016/j.envres.2020.109395

Table 3:

Adjusted multivariable, BKMR, and quantile g-computation estimates for cord and maternal sera analyses.

Cord Serum

BKMR*
n Multivariable
β (95% CI)
Estimate
(95% Credible Interval)
PIP** Qgcomp*** Estimate
log2(TSH) 236
log2(PFOA) 0.06 (−0.08, 0.19) 0.013 (−0.087, 0.114) 0.121 0.039
log2(PFOS) 0.09 (−0.06, 0.25) 0.094 (−0.082, 0.271) 0.836 0.070
log2(PFNA) 0.04 (−0.16, 0.24) 0.005 (−0.079, 0.090) 0.135 0.013
log2(PFHxS) 0.05 (−0.05, 0.16) 0.003 (−0.059, 0.065) 0.083 −0.024
Overall 0.112 (−0.082, 0.305) 0.098 (95% CI: −0.033, 0.230), p-value = 0.14
log2(TT4) 231
log2(PFOA) 0.03 (−0.02, 0.08) 0.001 (−0.011, 0.012) 0.016 0.016
log2(PFOS) 0.01 (−0.04, 0.07) 0.000 (−0.009, 0.009) 0.022 0.004
log2(PFNA) 0.002 (−0.07, 0.07) 0.000 (−0.004, 0.004) 0.005 −0.021
log2(PFHxS) 0.02 (−0.01, 0.06) 0.001 (−0.017, 0.020) 0.032 0.015
Overall 0.002 (−0.021, 0.026) 0.015 (95% CI: −0.036, 0.066), p-value = 0.57
log2(TT3) 236
log2(PFOA) −0.01 (−0.09, 0.06) 0.000 (−0.004, 0.004) 0.002 −0.016
log2(PFOS) −0.02 (−0.10, 0.06) 0.000 (−0.005, 0.005) 0.006 0.040
log2(PFNA) −0.04 (−0.14, 0.07) 0.000 (−0.008, 0.008) 0.005 −0.024
log2(PFHxS) −0.02 (−0.08, 0.03) 0.000 (−0.010, 0.010) 0.009 −0.032
Overall −0.001 (−0.015, 0.014) −0.032 (95% CI: −0.093, 0.029), p-value = 0.30
log2(FT4) 236
log2(PFOA) −0.01 (−0.04, 0.03) 0.000 (−0.017, 0.017) 0.165 0.015
log2(PFOS) −0.02 (−0.06, 0.02) −0.003 (−0.024, 0.018) 0.216 −0.018
log2(PFNA) −0.01 (−0.07, 0.04) −0.002 (−0.022, 0.018) 0.157 −0.012
log2(PFHxS) −0.01 (−0.04, 0.02) −0.001 (−0.020, 0.019) 0.190 0.007
Overall −0.006 (−0.039, 0.028) −0.008 (95% CI: −0.045, 0.028), p-value = 0.66
log2(FT3) 234
log2(PFOA) −0.01 (−0.06, 0.03) 0.000 (−0.010, 0.010) 0.569 −0.001
log2(PFOS) −0.03 (−0.07, 0.02) 0.000 (−0.012, 0.012) 0.569 0.011
log2(PFNA) −0.02 (−0.08, 0.04) 0.000 (−0.012, 0.011) 0.585 −0.013
log2(PFHxS) −0.02 (−0.05, 0.02) 0.000 (−0.011, 0.011) 0.579 −0.011
Overall 0.000 (−0.022, 0.021) −0.024 (95% CI: −0.062, 0.013), p-value =0.20
Maternal Serum

BKMR*
n Multivariable
β (95% CI)
Estimate
(95% Credible Interval)
PIP** Qgcomp*** Estimate
log2(TSH) 171
log2(PFOA) 0.09 (−0.14, 0.33) 0.046 (−0.164, 0.257) 0.335 0.169
log2(PFOS) 0.02 (−0.24, 0.28) 0.024 (−0.170, 0.218) 0.393 0.011
log2(PFNA) −0.23 (−0.56, 0.10) −0.068 (−0.294, 0.158) 0.432 −0.109
log2(PFHxS) −0.06 (−0.23, 0.11) −0.044 (−0.262, 0.174) 0.366 −0.120
Overall −0.045 (−0.336, 0.247) −0.049 (95% CI: −0.281, 0.184), p-value = 0.68
log2(TT4) 171
log2(PFOA) −0.03 (−0.10, 0.04) −0.001 (−0.015, 0.014) 0.023 −0.019
log2(PFOS) 0.02 (−0.08, 0.08) 0.000 (−0.009, 0.010) 0.019 0.041
log2(PFNA) −0.07 (−0.17, 0.03) −0.002 (−0.025, 0.022) 0.034 −0.045
log2(PFHxS) 0.00 (−0.05, 0.06) 0.000 (−0.014, 0.014) 0.024 0.006
Overall −0.002 (−0.035, 0.03) −0.017 (95% CI: −0.075, 0.042), p-value = 0.58
log2(TT3) 171
log2(PFOA) −0.01 (−0.05, 0.04) 0.000 (−0.002, 0.002) 0.001 0.010
log2(PFOS) −0.02 (−0.07, 0.03) 0.000 (−0.004, 0.003) 0.001 −0.004
log2(PFNA) −0.03 (−0.09, 0.03) 0.000 (0.000, 0.000) 0.000 −0.020
log2(PFHxS) −0.01 (−0.04, 0.02) 0.000 (0.000, 0.000) 0.001 −0.009
Overall 0.000 (−0.004, 0.004) −0.024 (95% CI: −0.066, 0.018), p-value = 0.26
log2(FT4) 171
log2(PFOA) −0.01 (−0.06, 0.03) −0.005 (−0.036, 0.026) 0.179 −0.017
log2(PFOS) 0.02 (−0.02, 0.07) 0.005 (−0.027, 0.036) 0.175 0.003
log2(PFNA) −0.01 (−0.07, 0.05) −0.003 (−0.026, 0.021) 0.224 −0.005
log2(PFHxS) 0.02 (−0.01, 0.05) 0.005 (−0.027, 0.038) 0.240 0.023
Overall 0.003 (−0.042, 0.047) 0.004 (95% CI: −0.044, 0.051), p-value = 0.88
log2(FT3) 171
log2(PFOA) −0.01 (−0.04, 0.01) 0.000 (−0.003, 0.003) 0.008 0.000
log2(PFOS) −0.03 (−0.06, 0.00) −0.001 (−0.015, 0.012) 0.052 −0.009
log2(PFNA) −0.02 (−0.05, 0.02) 0.000 (−0.005, 0.004) 0.011 −0.005
log2(PFHxS) −0.02 (−0.04, 0.00) −0.001 (−0.012, 0.010) 0.028 −0.007
Overall −0.002 (−0.020, 0.015) −0.022 (95% CI: −0.051, 0.007), p-value = 0.13
*

BKMR: Bayesian kernel machine regression

**

PIP: Posterior inclusion probability

***

Qgcomp: Quantile g-computation

The models have been adjusted for each PFAS, maternal age at delivery, race/ethnicity, marital status at baseline, maternal education level, household income, mean log10-transformed cotinine, maternal alcohol usage during pregnancy, nulliparity, maternal body mass index based on pre-pregnancy weight in pounds, the child’s sex, gestational week at blood draw for PFAS measurement, and delivery mode. All predictors and continuous covariates were also centered to 0 and scaled to a standard deviation of 1 in the BKMR and quantile g-computation models.