Table 3.

Correlations between β-CIT, PCBs and classical confounders and other potential confounders in the β-CIT study cohort.

Cofounder		β-CIT		Serum PCBs
	Na	Correlation	p	Correlation	p
Serum PCBs	89	-0.322	0.002
β-CIT	89			-0.322	0.002
Sex	89	0.242	0.022	0.029	0.785
Age	89	-0.338	0.001	0.273	0.010
Body Mass Index	85	-0.192	0.078	0.148	0.177
Serum DDE	89	-0.315	0.003	0.305	0.004
Serum DDT	89	-0.201	0.059	0.681	0.001
Serum Lipids	89	0.261	0.013	-0.218	0.040
Use of Cardio Medications	84	-0.214	0.050	0.001	0.992
Education	85	-0.063	0.566	-0.110	0.314
Bone Lead	86	-0.006	0.960	-0.083	0.448
Income	83	-0.093	0.401	-0.012	0.916
Caffeinated Drinks (past year)	78	0.084	0.467	0.016	0.892
Alcoholic Drinks (past year)	85	-0.053	0.629	0.051	0.643
Alcoholic Drinks (past 10 years)	85	-0.086	0.431	0.038	0.727
Cigarette Packs (past year)	85	0.009	0.934	0.090	0.412
Cigarette Packs (past 10 years)	85	0.054	0.621	0.027	0.806
Use of CNS Active Medications	78	0.099	0.388	0.053	0.646
Use of NSAIDS	78	-0.032	0.784	-0.037	0.750
TSH	54	-0.121	0.384	0.263	0.055
T4	54	0.049	0.727	0.056	0.689
FT4	54	-0.041	0.771	0.058	0.677
T3	54	-0.090	0.519	0.073	0.598
FT3	54	-0.212	0.124	0.146	0.292

^aNumber of observations varies across variables due to missing values