Table 4

Results of multivariate logistic regression models predicting support for total smoking ban in restaurants or bars

SmokersNon-smokers
% support total banOR (95% CI)% support total banOR (95% CI)
City
Beijing24.5Referent33.8Referent
Shenyang27.61.37 (1.01 to 1.86)32.61.09 (0.65 to 1.83)
Shanghai15.70.73 (0.50 to 1.06)48.51.88 (0.94 to 3.76)
Changsha20.60.99 (0.67 to 1.46)37.01.47 (0.90 to 2.42)
Guangzhou20.20.94 (0.67 to 1.32)49.02.20 (1.23 to 3.96)
Yinchuan19.30.93 (0.66 to 1.32)41.31.52 (0.86 to 2.67)
Gender
Male20.7Referent42.2Referent
Female37.61.61 (0.99 to 2.59)38.90.90 (0.68 to 1.18)
Age (years)
18–3414.6Referent27.2Referent
35–4420.01.46 (0.95 to 2.25)36.51.62 (0.93 to 2.81)
45–5420.51.55 (1.06 to 2.26)39.51.83 (1.08 to 3.09)
55 or older25.81.85 (1.19 to 2.90)48.42.33 (1.41 to 3.86)
Ethnic group
Han21.2Referent40.8Referent
Others23.21.05 (0.62 to 1.78)32.90.63 (0.33 to 1.24)
Highest education
Low27.4Referent43.5Referent
Medium21.20.85 (0.61 to 1.18)41.21.11 (0.67 to 1.86)
High18.50.70 (0.44 to 1.13)38.01.15 (0.62 to 2.14)
Household income
Low22.7Referent41.7Referent
Medium22.50.99 (0.77 to 1.29)39.20.89 (0.58 to 1.36)
High18.80.94 (0.63 to 1.39)44.41.03 (0.62 to 1.69)
Don’t know20.21.01 (0.69 to 1.49)34.90.65 (0.31 to 1.36)
Believe smoking causes lung cancer in non-smokers from SHS
No/don’t know17.3Referent32.8Referent
Yes24.61.56 (1.18 to 2.06)42.01.60 (1.11 to 2.31)
Self-reported smoking rules in indoor entertainment places that the respondents go most often
No rules or restrictions15.5Referent32.2Referent
Smoking is allowed only in some indoor areas21.91.56 (1.18 to 2.07)33.01.05 (0.68 to 1.62)
Smoking is not allowed in any indoor areas39.63.23 (2.25 to 4.64)61.63.05 (2.04 to 4.57)
Others27.41.82 (1.43 to 2.30)47.81.98 (1.31 to 3.00)
Number of cigarettes smoked per day
1–1025.6ReferentNot included in the model
11–2019.70.76 (0.63 to 0.92)
21–3015.70.56 (0.38 to 0.84)
31 or more19.40.80 (0.54 to 1.17)
  • SHS, secondhand smoke.