Table 2.
Logistic regression model to predict favorable attitude towards the four FCTC measures (N = 3,003)
| Group | N | Banning smoking in public places X (in favor)% OR(95%C.I) | Increasing cigarette taxes X(in favor)% OR(95%C.I) | Health warnings X(in favor)% OR(95%C.I) | Banning tobacco advertising X(in favor)% OR(95%C.I) | ||||||||
| Region | |||||||||||||
| Hangzhou | 1443 | 1337 | 92.7 | 1.00 | 1067 | 74.6 | 1.00 | 1327 | 92.0 | 1.00 | 1201 | 83.2 | 1.00 |
| Xian | 1560 | 1120 | 71.8 | 0.20(0.17,0.28)** | 990 | 63.5 | 0.66(0.55,0.78)** | 1230 | 48.9 | 0.35(0.28,0.45)** | 1378 | 88.4 | 1.53(1.22,1.90)** |
| Gender | |||||||||||||
| Male | 1595 | 1155 | 72.4 | 1.00 | 951 | 59.6 | 1.00 | 1263 | 79.2 | 1.00 | 1344 | 84.3 | 1.00 |
| Female | 1408 | 1302 | 92.5 | 1.61(1.12, 2.32)** | 1115 | 79.2 | 1.38(1.06,1.79)* | 1294 | 91.9 | 0.86(0.57,1.28) | 1235 | 87.1 | 0.79(0.56,1.13) |
| Age | |||||||||||||
| < 20 y | 266 | 223 | 85.0 | 1.00 | 197 | 74.1 | 1.00 | 226 | 85.0 | 1.00 | 223 | 83.8 | 1.00 |
| 20- | 525 | 438 | 83.4 | 1.38(0.87,2.19) | 378 | 72.0 | 0.96(0.67,1.34) | 464 | 88.4 | 1.77(1.12,2.78) | 464 | 88.4 | 1.18(0.76,1.85) |
| 30- | 639 | 564 | 88.3 | 1.24(0.77,2.00) | 426 | 66.7 | 0.58(0.40,0.84)** | 558 | 87.3 | 0.78(0.49,1.25) | 512 | 80.1 | 0.65(0.41,1.01) |
| 40- | 875 | 710 | 81.1 | 0.97(0.62,1.52) | 598 | 68.3 | 0.81(0.56,1.15) | 745 | 85.5 | 0.85(0.55,1.33) | 773 | 88.4 | 1.05(0.67,1.36) |
| 50- | 698 | 519 | 74.4 | 0.50(0.53,0.84)** | 467 | 66.9 | 0.67(0.47, 0.95)* | 564 | 80.8 | 0.65(0.43,0.99)* | 608 | 87.0 | 1.13(0.75,1.70) |
| Education | |||||||||||||
| Junior school and low | 716 | 594 | 83.0 | 1.00 | 466 | 65.1 | 1.00 | 605 | 84.5 | 1.00 | 414 | 85.8 | 1.00 |
| High School | 1271 | 1006 | 79.2 | 0.80(0.61,1.06) | 846 | 66.6 | 1.14(0.92,1.43) | 1050 | 82.6 | 0.84(0.63,1.13) | 1072 | 84.1 | 0.99(0.76,1.31) |
| College and above | 1016 | 857 | 84.4 | 0.92(0.65,1.31) | 754 | 74.5 | 1.32(1.01,1.72)* | 902 | 88.8 | 1.46(1.02,2.08)* | 893 | 87.9 | 1.38(1.00,1.92)* |
| Marital status | |||||||||||||
| Never | 531 | 430 | 81.0 | 1.00 | 386 | 72.7 | -- | 446 | 84.1 | 1.00 | 449 | 84.6 | 1.00 |
| Married | 2095 | 1752 | 83.6 | 1.62(1.13,2.30)** | 1459 | 69.6 | 1.17(0.88,1.72) | 1828 | 87.3 | 1.94(1.38,2.73)** | 1812 | 86.5 | 1.51(1.05,2.17) |
| Others(Divorced, widowed and so on) | 377 | 275 | 72.9 | 0.80 (0.52,1.23) | 221 | 58.6 | 0.62(0.44,0.88)** | 283 | 75.1 | 0.76(0.52,1.11) | 318 | 84.4 | 0.90(0.59,1.39) |
| Occupation | |||||||||||||
| Professional | 278 | 234 | 84.2 | 1.00 | 212 | 76.3 | 1.00 | 241 | 86.7 | 1.00 | 249 | 90.0 | 1.00 |
| Leader◆ | 247 | 198 | 80.2 | 0.67(0.40,1.11) | 176 | 71.3 | 0.82(0.54,1.24) | 208 | 84.1 | 0.74(0.44,1.27) | 205 | 83.0 | 0.58(0.35,0.98)* |
| Clerks | 432 | 382 | 88.4 | 0.92(0.57,1.50) | 318 | 73.6 | 0.79(0.54,1.15) | 385 | 89.1 | 0.93(0.57,1.54) | 352 | 81.5 | 0.57(0.36,0.91)* |
| Commerce and service | 587 | 504 | 85.7 | 0.81(0.52,1.26) | 394 | 67.1 | 0.60(0.42,0.86)** | 516 | 87.9 | 1.01(0.62,1.62) | 508 | 86.5 | 0.86(0.54,1.38) |
| Operation workers | 313 | 221 | 70.6 | 0.58(0.37,0.91)* | 192 | 61.3 | 0.70(0.47,1.05) | 244 | 78.0 | 0.82(0.50,1.25) | 256 | 81.8 | 0.59(0.35,0.98)* |
| Never been employed | 188 | 146 | 77.7 | 0.55(0.33,0.93)* | 116 | 61.7 | 0.58(0.37,0.91)* | 162 | 86.2 | 1.17(0.64,2.14) | 164 | 87.2 | 0.85(0.47,1.56) |
| Unemployed | 208 | 173 | 79.4 | 0.61(0.36,1.04) | 119 | 54.6 | 0.38(0.25,0.59)** | 177 | 81.2 | 0.62(0.36,1.09) | 199 | 91.3 | 1.27(0.67,2.38) |
| Retired | 412 | 315 | 76.5 | 0.63(0.39,1.00) | 284 | 68.9 | 0.83(0.55,1.25) | 342 | 83.0 | 1.08(0.64,1.82) | 375 | 91.0 | 1.21(0.70,2.11) |
| Others◆ ◆ | 328 | 284 | 86.6 | 0.72(0.42,1.21) | 255 | 77.7 | 0.85(0.55,1.31) | 282 | 86.0 | 0.80(0.44,1.47) | 271 | 82.6 | 0.52(0.32,0.86)* |
| Average Annual Income/person(RMB) | |||||||||||||
| < 10000 | 991 | 839 | 84.7 | 1.00 | 644 | 65.0 | 1.00 | 848 | 85.6 | 1.00 | 847 | 85.5 | 1.00 |
| 10000- | 833 | 629 | 75.7 | 0.73(0.53,1.02) | 564 | 67.7 | 1.25(1.01,1.55)* | 690 | 82.8 | 0.91(0.69,1.21) | 715 | 86.0 | 1.07(0.82,1.41) |
| 15000- | 1179 | 989 | 83.9 | 0.96(0.66,1,41) | 858 | 72.8 | 1.27(1.03,1.57)* | 1019 | 86.4 | 0.80(0.60,1.07) | 1017 | 86.3 | 1.27(0.96,1.66) |
| Smoking status | |||||||||||||
| Non-smoking | 1760 | 1619 | 92.0 | 1.00 | 1388 | 78.9 | 1.00 | 1630 | 92.6 | 1.00 | 1558 | 88.5 | 1.00 |
| Occasional smoking | 187 | 158 | 84.5 | 0.60(0.36,1.01) | 106 | 56.7 | 0.42(0.29,0.61)** | 147 | 78.6 | 0.28(0.18,0.42)** | 140 | 74.9 | 0.39(0.27,0.56)** |
| Daily smoking | |||||||||||||
| Light(< = 10 cigarettes/day) | 531 | 360 | 67.8 | 0.23 (0.16,0.34)** | 320 | 60.3 | 0.50(0.37,0.67)** | 418 | 78.2 | 0.29(0.18,0.42)** | 434 | 81.7 | 0.58(0.44,0.76)** |
| Heavy(> 10 cigarettes/day) | 525 | 320 | 61.0 | 0.21(0.14,0.30)** | 252 | 48.0 | 0.31(0.23,0.41)** | 362 | 69.0 | 0.17(0.13,0.22)** | 447 | 85.3 | 0.73(0.55,0.98)* |
◆ Leaders of governmental or party agencies, enterprises or institutions; ◆◆ Others included students and army and other uncategorized OR(odds ratio) is a way of comparing whether the probability of favorable attitude towards the four FCTC measure is the same for two groups,*p < 0.05, **p < 0.01