Int. J. Environ. Res. Public Health 2011, 8 1527 Table 4. Cont. What kind of smoking policy do you think restaurants/bars should have? a n (%) restaurants bars Willing to do so b total prohibit restrict allow prohibit restrict allow n (%) Type of Establishment Chinese dining 506 87 (17.2) 312 (61.7) 71 (14) 63 (12.5) 252 (49.9) 110 (21.8) 270 (53.6) Chinese fast food 58 15 (25.9) 37 (63.8) 4 (6.9) 10 (17.2) 31 (53.4) 12 (20.7) 32 (55.2) Western dining 52 3 (5.9) 42 (82.4) 4 (7.8) 3 (5.9) 29 (56.9) 12 (23.5) 36 (69.2) Western fast food 49 17 (34.7) 28 (57.1) 3 (6.1) 8 (16.3) 26 (53.1) 11 (22.4) 38 (77.6) Bar 149 15 (10.1) 100 (67.1) 24 (16.1) 8 (5.4) 73 (49.0) 50 (33.6) 57 (38.3) Gender Male 413 64 (15.5) 259 (62.9) 58 (14.1) 45 (10.9) 204 (49.5) 111 (26.9) 210 (51.0) Female 399 73 (18.3) 259 (64.9) 47 (11.8) 47 (11.8) 206 (51.8) 83 (20.9) 223 (56.0) Age ≤35 571 84 (14.7) 385 (67.4) 66 (11.6) 59 (10.3) 306 (53.6) 127 (22.2) 266 (46.7) >35 238 51 (21.4) 132 (55.5) 40 (16.8) 32 (13.5) 104 (43.9) 67 (28.3) 111 (46.4) Education ≤High school 444 80 (58.4) 274 (52.9) 30 (16.2) 22 (11.9) 79 (42.7) 58 (31.4) 96 (51.9) >High school 367 57 (41.6) 244 (47.1) 37 (14.3) 37 (14.3) 134 (51.9) 55 (21.3) 139 (53.7) Current smoking Yes 287 106 (20.2) 332 (63.2) 62 (11.8) 74 (14.1) 276 (52.7) 99 (18.9) 125 (43.6) No 525 31 (10.8) 185 (64.7) 44 (15.4) 18 (6.3) 134 (46.9) 95 (33.2) 308 (58.9) Knowledge scores 0–3 221 29 (13.1) 132 (59.7) 38 (17.2) 15 (6.8) 98 (44.3) 60 (27.1) 101 (45.7) 4–6 592 108 (18.2) 387 (65.4) 68 (11.5) 77 (13.0) 313 (53.0) 135 (22.8) 332 (56.1) Banning smoking would not reduce revenues Disagree/DNK c 447 42 (9.4) 295 (66.0) 72 (16.1) 34 (7.6) 219 (49.0) 121 (27.1) 194 (43.4) Agree 365 95 (26.0) 223 (61.1) 34 (9.3) 58 (15.9) 191 (52.5) 74 (20.3) 238 (65.6) Note: results in presented in this table represent simple aggregation of the survey results, and no sampling weighting was used. a Answers to this question included “prohibit”, “restrict” “allow” and “ I don’t care”; only the first three options are presented in this table; b The question was that “Are you willing to prohibit or restrict smoking in your own restaurant or bar?” Answers to this question included “yes”, “no” and “refuse to answer”; only results of the first option are presented in this table; c Disagree or don’t know. Table 5 presents the results of logistic regression analysis to explore factors related to supportive attitudes towards prohibiting or restricting smoking in restaurants and bars. Non-smoking subjects, those who knew more about tobacco smoke hazards, and those who agreed that prohibiting or restricting smoking would not reduce their revenues, were more likely to support prohibiting or restricting smoking in restaurants or bars, and more willing to do so in their own venues when other factors were adjusted. Comparing to subjects from Beijing, subjects from Wuhan were less likely to report their support, while subjects from Guiyang were similarly supportive or willing to prohibit or restrict smoking in their own venues. Subjects of bars and Chinese restaurants were less willing to do so in their own venues than those of western restaurants.