Table 3.

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

	Smokers		Non-smokers
	% support total ban	OR (95% CI)	% support total ban	OR (95% CI)
City
Beijing	44.3	Referent	52.0	Referent
Shenyang	45.7	1.11 (0.73 to 1.71)	52.4	1.05 (0.58 to 1.92)
Shanghai	35.0	0.65 (0.48 to 0.88)	49.5	0.82 (0.47 to 1.43)
Changsha	36.5	0.78 (0.52 to 1.18)	44.9	0.69 (0.41 to 1.16)
Guangzhou	40.2	0.81 (0.59 to 1.10)	53.8	1.08 (0.61 to 1.91)
Yinchuan	55.4	1.90 (1.32 to 2.74)	64.3	1.78 (1.00 to 3.18)
Gender
Male	42.0	Referent	51.2	Referent
Female	62.6	2.20 (1.34 to 3.60)	54.3	1.22 (0.93 to 1.62)
Age (years)
18–34	36.0	Referent	50.6	Referent
35–44	39.1	1.23 (0.93 to 1.64)	56.5	1.06 (0.67 to 1.69)
45–54	44.0	1.64 (1.20 to 2.26)	47.8	0.82 (0.49 to 1.37)
55 or older	46.8	1.88 (1.42 to 2.50)	55.7	1.13 (0.67 to 1.91)
Ethnic group
Han	42.9	Referent	52.7	Referent
Others	40.2	0.61 (0.41 to 0.92)	55.6	0.77 (0.41 to 1.46)
Highest education
Low	47.4	Referent	59.3	Referent
Medium	42.6	1.01 (0.77 to 1.32)	52.0	0.86 (0.54 to 1.37)
High	40.5	0.91 (0.65 to 1.28)	52.2	0.85 (0.50 to 1.46)
Household income
Low	45.4	Referent	54.3	Referent
Medium	42.5	0.92 (0.74 to 1.15)	52.9	0.92 (0.61 to 1.39)
High	41.5	1.03 (0.78 to 1.34)	52.1	0.94 (0.57 to 1.57)
Don’t know	43.6	1.11 (0.78 to 1.58)	55.1	0.94 (0.42 to 2.11)
Believe smoking causes lung cancer in non-smokers from SHS
No/don’t know	39.9	Referent	53.0	Referent
Yes	45.2	1.27 (1.09 to 1.49)	52.8	0.93 (0.66 to 1.31)
Self-reported smoking rules at workplaces
No rules or restrictions	36.2	Referent	39.4	Referent
Smoking is allowed only in some indoor areas	31.3	0.89 (0.65 to 1.22)	37.3	0.87 (0.45 to 1.70)
Smoking is not allowed in any indoor areas	61.1	3.10 (2.23 to 4.29)	69.3	3.60 (2.23 to 5.82)
Others	43.5	1.32 (1.03 to 1.70)	53.6	1.68 (1.01 to 2.79)
Number of cigarettes smoked per day
1–10	46.1	Referent	Not included in the model
11–20	42.0	0.95 (0.76 to 1.17)
21–30	35.6	0.75 (0.56 to 0.99)
31 or more	39.4	0.91 (0.65 to 1.28)

SHS, secondhand smoke.