Table III.

Multivariate regression Models of Cognitive and behavioral impacts of health warning labels on sociodemographic and smoking-related variables, by Country and pooled

	Multivariate linear regression model of cognitive impact of HWLs					Multivariate logistic regression model of not smoking because of HWLs
	Brazil B (SE)	Uruguay B (SE)	Mexico B (SE)	Pooled1 B (SE)	Pooled2 B (SE)	Brazil OR (95%CI)	Uruguay OR (95%CI)	Mexico OR (95%CI)	Pooled1 OR (95%CI)	Pooled2 OR (95%CI)
Age	0.00 (0.00)	0.00 (0.00)	0.00 (0.00)	0.00 (0.00)	0.00 (0.00)	−0.01^* (0.01)	0.00^* (0.01)	0.01^* (0.00)^a	0.00^* (0.00)	0.00^* (0.00)

Education	−0.20 (0.03)^c	−0.05 (0.03)	−0.01 (0.02)	−0.08 (0.01)^c	−0.02 (0.02)	−0.29^* (0.08)^c	−0.22^a ^* (0.10)^a	−0.05^* (0.07)	−0.17^* (0.05)^c	−0.08^* (0.07)

Sex	−0.03 (0.06)	0.06 (0.06)	−0.02 (0.04)	−0.01 (0.03)	−0.01 (0.03)	0.84 (0.64, 1.11)	1.22 (0.82, 1.83)	0.92 (0.70, 1.21)	0.98 (0.82, 1.17)	0.97 (0.82, 1.16)

Daily vs. non-daily smoker	−0.18 (0.11)	−0.32 (0.11)^b	−0.22 (0.05)^c	−0.22 (0.04)^c	−0.23 (0.04)^c	0.69 (0.40, 1.16)	0.45 (0.25, 0.80)^b	0.74 (0.56, 0.99)^a	0.7 (0.55, 0.89)^b	0.7 (0.55, 0.89)^b

Smoking has harmed some vs. none	0.18 (0.09)^a	0.01 (0.07)	0.09 (0.05)	0.08 (0.04)^a	0.1 (0.04)^b	1.36 (0.86, 2.15)	0.97 (0.59, 1.60)	1.37 (0.98, 1.93)	1.28 (1.01, 1.63)^a	1.29 (1.02, 1.64)^a

Smoking has harmed a lot vs. none	0.30 (0.10)^b	0.30 (0.08)^c	0.26 (0.07)^c	0.29 (0.04)^c	0.29 (0.04)^c	1.69 (1.06, 2.70)^a	1.06 (0.60, 1.86)	1.39 (0.94, 2.07)	1.43 (1.11, 1.86)^b	1.43 (1.11, 1.86)^b

Smoking will harm some vs. none	0.47 (0.13)^c	0.39 (0.06)^c	0.10 (0.08)	0.31 (0.05)^c	0.31 (0.05)^c	1.50 (0.76, 2.97)	2.38 (1.09, 5.20)^a	1.41 (0.81, 2.47)	1.68 (1.15, 2.45)^b	1.69 (1.16,2.46)^b

Smoking will harma lot vs. none	1.15 (0.13)^c	0.75 (0.07)^c	0.35 (0.08)^c	0.73 (0.05)^c	0.71 (0.05)^c	3.56 (1.82, 6.97)^c	5.12 (2.43, 10.79)^c	1.43 (0.83, 2.49)	2.65 (1.83, 3.83)^c	2.63 (1.82, 3.81)^c

Uruguay vs Mexico				−0.09 (0.04)^a	−0.03 (0.06)				0.65 (0.50, 0.83)^c	0.74 (0.51, 1.09)

Brazil vs Mexico				0.80 (0.04)^c	1.13 (0.07)^c				2.01 (1.62, 2.49)^c	2.79 (1.94, 3.99) ^c

Uruguay^* Education					−0.04 (0.03)					0.89 (0.70, 1.13)

Brazil^* Education					−0.20 (0.04)^c					0.81 (0.67, 0.98)^a

N	1 183	1 146	1 692	4008	4008	1193	1158	1 705	4 056	4056

Estimates shown for age and education are beta coefficients, not odds ratios, and thus, the value of an age or education coefficient under the null hypothesis is 0, not 1

p<0.01;

p<0.05;

p<0.001