Table 2.

Logistic Regression Models Predicting Recent Successful Smoking Cessation by Self-Reported Local Price

	Bivariate Modela		Adjusted Modelb
	OR (95% CI)	p-Value	OR (95% CI)	p-Value
Local price	1.08 (1.02, 1.15)	.012	1.04 (0.98, 1.11)	.178
Men	0.97 (0.91, 1.03)	.305	0.96 (0.90, 1.01)	.138
Race and ethnicity (white reference)
Non-Hispanic black	0.66 (0.59, 0.74)	<.001	0.78 (0.69, 0.87)	<.001
Hispanic	0.97 (0.85, 1.11)	.676	1.12 (0.98, 1.28)	.096
Non-Hispanic other	0.89 (0.75, 1.04)	.142	0.84 (0.71, 0.98)	.031
Education (college + reference)
Less than high school	0.45 (0.41, 0.50)	<.001	0.52 (0.47, 0.59)	<.001
High school graduate	0.53 (0.49, 0.57)	<.001	0.59 (0.54, 0.64)	<.001
Some college	0.74 (0.69, 0.80)	<.001	0.80 (0.74, 0.86)	<.001
Income ($75 000 + reference)
Less than $15 000	0.55 (0.50, 0.61)	<.001	0.67 (0.60, 0.75)	<.001
$15 000–29 999	0.63 (0.55, 0.71)	<.001	0.70 (0.62, 0.79)	<.001
$30 000–49 999	0.75 (0.66, 0.84)	<.001	0.81 (0.72, 0.91)	.001
$50 000–74 999	0.87 (0.76, 1.00)	.047	0.91 (0.80, 1.04)	.148
N	101 712		101 712

OR = odds ratio. CI = confidence interval.

^aBivariate associations between each individual predictor and smoking cessation with state and year-fixed effects.

^bModel controlled for age, age,² gender, education, CPI-adjusted income, race and ethnicity with smoke-free laws, and state and year-fixed effects.