Table 3

Results of multivariate logistic regression models predicting support for total smoking ban at workplaces

SmokersNon-smokers
% support total banOR (95% CI)% support total banOR (95% CI)
City
Beijing44.3Referent52.0Referent
Shenyang45.71.11 (0.73 to 1.71)52.41.05 (0.58 to 1.92)
Shanghai35.00.65 (0.48 to 0.88)49.50.82 (0.47 to 1.43)
Changsha36.50.78 (0.52 to 1.18)44.90.69 (0.41 to 1.16)
Guangzhou40.20.81 (0.59 to 1.10)53.81.08 (0.61 to 1.91)
Yinchuan55.41.90 (1.32 to 2.74)64.31.78 (1.00 to 3.18)
Gender
Male42.0Referent51.2Referent
Female62.62.20 (1.34 to 3.60)54.31.22 (0.93 to 1.62)
Age (years)
18–3436.0Referent50.6Referent
35–4439.11.23 (0.93 to 1.64)56.51.06 (0.67 to 1.69)
45–5444.01.64 (1.20 to 2.26)47.80.82 (0.49 to 1.37)
55 or older46.81.88 (1.42 to 2.50)55.71.13 (0.67 to 1.91)
Ethnic group
Han42.9Referent52.7Referent
Others40.20.61 (0.41 to 0.92)55.60.77 (0.41 to 1.46)
Highest education
Low47.4Referent59.3Referent
Medium42.61.01 (0.77 to 1.32)52.00.86 (0.54 to 1.37)
High40.50.91 (0.65 to 1.28)52.20.85 (0.50 to 1.46)
Household income
Low45.4Referent54.3Referent
Medium42.50.92 (0.74 to 1.15)52.90.92 (0.61 to 1.39)
High41.51.03 (0.78 to 1.34)52.10.94 (0.57 to 1.57)
Don’t know43.61.11 (0.78 to 1.58)55.10.94 (0.42 to 2.11)
Believe smoking causes lung cancer in non-smokers from SHS
No/don’t know39.9Referent53.0Referent
Yes45.21.27 (1.09 to 1.49)52.80.93 (0.66 to 1.31)
Self-reported smoking rules at workplaces
No rules or restrictions36.2Referent39.4Referent
Smoking is allowed only in some indoor areas31.30.89 (0.65 to 1.22)37.30.87 (0.45 to 1.70)
Smoking is not allowed in any indoor areas61.13.10 (2.23 to 4.29)69.33.60 (2.23 to 5.82)
Others43.51.32 (1.03 to 1.70)53.61.68 (1.01 to 2.79)
Number of cigarettes smoked per day
1–1046.1ReferentNot included in the model
11–2042.00.95 (0.76 to 1.17)
21–3035.60.75 (0.56 to 0.99)
31 or more39.40.91 (0.65 to 1.28)
  • SHS, secondhand smoke.