Table 6 Logistic regression model to predict favorable attitude towards the four advertisement effect measures in Chongqing, China, 2011 (n = 238)
Item | The ad made me stop and think | The ad was relevant to my life and me | I discussed the ad with others | I tried to persuade others to quit smoking | ||||
|---|---|---|---|---|---|---|---|---|
Agree | OR(95 % CI)a | Agree | OR(95 % CI)a | Agree | OR(95 % CI)a | Agree | OR(95 % CI)a | |
Gender (n, %) | ||||||||
 Male▼ | 118(65.6) | 1.00 | 143(79.4) | 125(69.4) | 100(55.6) | |||
 Female | 30(51.7) | 0.517(0.281,0.950)** | 51(87.9) | 38(65.5) | 13(22.4) | |||
Age (n, %) | ||||||||
 18-25 year▼ | 85(58.22) | 120(82.2) | 97(66.44) | 53(36.30) | 1.00 | |||
 26-35years | 35(71.4) | 40(81.6) | 32(65.3) | 33(67.4) | 0.457(0.215,0.974)** | |||
 36-45years | 28(65.1) | 34(79.1) | 34(79.1) | 27(62.8) | 0.567(0.257, 1.248) | |||
Education level (n, %) | - | |||||||
 Basic education▼ | 18(72.0) | 21(84.0) | 16(64.0) | 13(52.0) | ||||
 Secondary education | 72(63.2) | 92(80.7) | 78(68.4) | 59(51.8) | ||||
 Higher education | 58(59.0) | 81(81.8) | 69(69.7) | 41(41.4) | ||||
Smoking status | ||||||||
 Smokers▼ | 67(60.4) | 83(74.8) | 1.00 | 79(71.2) | 78(70.3) | 1.00 | ||
 Non-smokers | 81(63. 8) | 111(87.4) | 2.34(1.19,4.61)** | 84(66.1) | 35(27.6) | 0.199(0.11,0.36) | ||
 Dwelling time | ||||||||
 Six months to one year▼ | 16(51.6) | 24(77.4) | 19(61.3) | 20(64.5) | 1.00 | |||
 Above one year | 132(63.8) | 170(82.1) | 144(69.6) | 93(44.9) | 2.14(0.88, 5.19) | |||
Attitude to the regulation of forbidding smoking in public places | ||||||||
 Support▼ | 142(63.4) | 1.00 | 184(82.1) | 150(67.0) | 1.00 | 102(45.5) | ||
 Oppose | 6(42.9) | 0.36(0.12, 1.09) | 10(71.43) | 13(92.9) | 6.41(0.82,49.96) | 11(78.6) | ||