Table 8.

Associations between urine biomarkers of chemical exposure and BMI in adult participants. Linear regression estimate (∆ and 95% confidence interval (CI)) for urine biomarkers applied as continuous variables, and logistic regression (OR and CI) for biomarkers applied as dichotomous variables (butylparaben, 2,5-DCP, triclosan and triclocarban)

	Sex: male vs female			BMI			Interactionc
	∆/OR	CI	p	∆/OR	CI	p	∆/OR	CI	p
Sum of parabensa	-0.65	(-0.80,-0.51)	< 0.001	-0.01	(-0.03,0.01)	0.3	0.01	(-0.02,0.05)	0.4
Methylparabena	-1.68	(-2.01,-1.35)	< 0.001	-0.02	(-0.08,-0.00)	0.04	0.04	(-0.03,0.11)	0.3
Butylparabenb	0.14	(0.09,0.22)	< 0.001	1.01	(0.97,1.06)	0.7	1.02	(0.92,1.12)	0.7
Propylparabena	-2.16	(-2.52,-1.81)	< 0.001	-0.02	(-0.05,0.02)	0.4	0.03	(-0.04,0.10)	0.4
Ethylparabena	-1.09	(-1.36,-0.81)	< 0.001	-0.05	(-0.08,-0.01)	0.007	0.04	(-0.03,0.10)	0.3
Benzophenone-3a	-1.58	(-1.97,-1.19)	< 0.001	0.02	(-0.03,0.06)	0.5	-0.07	(-0.15,0.01)	0.1
Bisphenol Sa	-0.07	(-0.19,0.06)	0.3	0.01	(-0.01,0.02)	0.4	0.03	(-0.00,0.06)	0.07
Bisphenol Fa	-0.14	(-0.33,0.05)	0.15	-0.00	(0.02,0.02)	0.9	-0.01	(-0.06,0.03)	0.6
Bisphenol Aa	0.21	(0.06,0.35)	0.005	0.00	(-0.01,0.02)	0.8	0.01	(-0.02,0.04)	0.5
2,4-DCPa	-0.05	(-0.18,0.09)	0.5	-0.02	(-0.03,-0.01)	0.007	0.01	(-0.02,0.03)	0.7
2,5-DCPb	1.89	(1.25,2.87))	0.003	1.01	(0.96,1.06))	0.6	1.00	(0.91,1.10)	1.0
Triclosanb	0.81	(0.51,1.30)	0.4	0.92	(0.87,0.97)	0.002	1.05	(0.94,1.17)	0.4
Triclocarbanb	0.70	(0.28,1.76)	0.5	1.06	(0.95,1.17)	0.3	0.87	(0.72,1.04)	0.1

^aMultiple linear or ^blogistic regression (for dichotomous exposure) including sex and BMI, adjusted for age, smoking, and time of day of urine sampling; ^cInteraction term between sex and BMI