Table 3.

Beta-coefficients, 95% confidence intervals and p-values from general linear models with a random intercept predicting reproductive hormones using PBDE exposure metrics over one-year (27 men, 76 serum samples).

Hormone	BDE-47 β (95% CI)	p	BDE-99β (95% CI)	p	BDE-100β (95% CI)	p	BDE-153β (95% CI)	p
Total T (ng/dL)a	0.063 (−0.3, 0.4)	0.715	0.022 (−1, 1)	0.974	0.19 (−0.8, 1)	0.673	0.25 (−0.1, 0.7)	0.207
Free T (pg/mL)a	−0.22 (−0.1, 0.04)	0.318	−0.12 (−0.4, 0.1)	0.162	−0.032 (−0.2, 0.1)	0.641	0.040 (−0.03, 0.1)	0.246
LH (U/L)b	0.82 (0.7, 2)	0.046	2.8 (−0.2, 6)	0.062	1.7 (−0.5, 4)	0.132	0.28 (−1, 1)	0.602
FAIb	−0.49 (−1.2, 0.2)	0.149	−1.9 (−4, 1)	0.138	−1.1 (−3, 1)	0.238	0.08 (−1, 1)	0.849
Prolactin (ng/mL)b	−0.50 (−1 to 1)	0.875	0.70 (−2, 3)	0.608	−0.19 (−2, 2)	0.828	−0.50 (−1, 0.3)	0.219
SHBG (nmol/L)b	0.50 (−0.2, 1)	0.135	0.69 (−1, 3)	0.501	0.70 (−2, 3)	0.142	0.47 (−0.4, 1)	0.301

Abbreviations: β (Beta-coefficient), CI (confidence interval), FAI (free androgen index), FSH (follicular stimulating hormone), LH (luteinizing hormone), p (p-value), SHBG (sex hormone binding globulin), T (testosterone).

Regression Model: Y_ij = βo + β1PBDE_ij + β2Round₁ + β3Round₂ + β4LIPID_ij + β5Age_ij + β6BMI_ij b_i + ε_ij.

Definitions: Y_ij represents the RH level of the ith participant at the jth sampling round. βo is the fixed effect intercept, β1 is the effect on the RH of a one-unit change in PBDE level [PBDE_ij (ng/g serum)], b_i is the random intercept of the i_th individual, and ε_ij is the random error.

^aDependent variable was not transformed by the natural log. Beta-coefficient yields the absolute change in dependent variable per unit change in PBDE predictor (pg/g serum).

^bDependent variable was transformed by the natural log. Exp(beta-coefficient) yields the multiplicative change in dependent variable per unit change in PBDE predictor(ng/g serum).