Table 2.

Predicted probability of cigarette smoking by drinking and binge drinking status

	San Diego, CA				Portland, ME				Tulsa, OK
	Non smoker	Occasional smoker a	Regular smoker b	Total	Non smoker	Occasional smoker	Regular smoker	Total	Non smoker	Occasional smoker	Regular smoker	Total
Drinking statusc
Non-drinker	.81	.07	.12	1.00	.96	.04	.00	1.00	.77	.11	.13	1.00
Occasional drinker	.56	.34	.10	1.00	.57	.35	.08	1.00	.48	.34	.18	1.00
Frequent drinker	.38	.26	.36	1.00	.44	.30	.25	1.00	.32	.19	.49	1.00
Binge drinkingd
No binge drinking	.66	.19	.15	1.00	.74	.17	.10	1.00	.62	.20	.18	1.00
Occasional binge drinking	.46	.34	.20	1.00	.50	.33	.17	1.00	.41	.30	.28	1.00
Frequent binge drinking	.26	.23	.51	1.00	.30	.39	.31	1.00	.27	.18	.54	1.00

Note.

^aRespondents who smoked cigarettes on 1–19 days in the past 30 days.

^bRespondents who smoked cigarettes on ≥ 20 days in the past 30 days.

^cOccasional drinkers drank alcohol on 1–9 of the past 30 days; frequent drinkers drank alcohol on ≥ 10 days in the past 30 days.

^dOccasional binge drinkers reported binge drinking on 1–9 of the past 30 days; frequent binge drinkers reported binge drinking on ≥ 10 days in the past 30 days.

Predicted probabilities calculated based on results from multinomial logistic regression. Predicted probabilities are shown for each drinking and binge drinking category, with all demographic variables held constant at their mean values, including age, gender, race/ethnicity, and education.