Table 4

Results of multivariate logistic regression examining factors associated with purchasing less expensive cigarettes

	N	Percentage who bought less expensive cigarettes^*	OR	95% CI
Gender
Male	4487	35.4	Reference
Female	232	57.1	1.37	0.80 to 2.34
Age in years
18–34	470	23.0	Reference
35–44	1153	25.2	0.82	0.58 to 1.16
45–54	1624	32.4	1.08	0.79 to 1.48
55 or older	1463	53.1	2.61	1.90 to 3.59
Ethnic group
Han	4484	33.3	Reference
Others	235	36.4	1.01	0.66 to 1.56
Highest level of education
Low	607	64.1	Reference
Medium	3092	36.7	0.58	0.44 to 0.78
High	1014	16.3	0.28	0.20 to 0.39
Household income per month
Low	911	57.4	Reference
Medium	2120	39.6	0.50	0.39 to 0.64
High	1344	18.2	0.21	0.16 to 0.28
Don't know/cannot say	340	29.9	0.34	0.22 to 0.51
Number of cigarettes smoked per day
1–10	1631	32.8	Reference
11–20	2316	36.3	1.23	1.03 to 1.46
21–30	400	45.9	1.74	1.28 to 2.35
31 or more	344	40.7	1.32	0.95 to 1.83
Think about the money spent on smoking in the last month
Never	3130	32.7	Reference
Occasionally	961	36.8	1.18	0.95 to 1.45
Often	571	54.9	2.10	1.62 to 2.71
Don't know/cannot say	53	34.5	0.90	0.42 to 1.94
Index of knowledge about the adverse health effects of smoking
0–1	928	44.2	Reference
2–3	1110	37.5	0.92	0.68 to 1.24
4–5	1419	33.7	0.89	0.70 to 1.12
6–8	1234	31.3	0.77	0.59 to 1.01

City was not included in this model because we used the lowest tertile of cigarette price paid in each city as the cut-off for less expensive cigarettes, thus the percentage of smokers who bought less expensive cigarettes is the same across cities (1/3).
↵* Refers to the last purchase.