Table 5
Logistic regression predicting support for total ban in bars* (n = 6037)
| Variables | Attitudes to total ban OR (95% CI) |
|---|---|
| *Limited to those who reported having attended bars in last 6 months. | |
| †Based on normalised data using a square root transformation. | |
| Reported bans in bars | |
| Total bans | 2.79 (2.05 to 3.79) |
| Other than total bans | 1.00 |
| Documented bans in bars | |
| Extensive | 1.62 (0.81 to 3.26) |
| None or limited | 1.00 |
| Age (years) | |
| 18–30 | 0.43 (0.28 to 0.65) |
| 31–45 | 0.61 (0.43 to 0.86) |
| 46–60 | 0.87 (0.62 to 1.23) |
| 61+ | 1.00 |
| Sex | |
| Male | 1.00 |
| Female | 0.86 (0.69 to 1.07) |
| Daily cigarette consumption† | 0.82 (0.76 to 0.89) |
| Think about harm to others | 1.22 (1.12 to 1.33) |
| Believe smoking causes lung cancer in non-smokers | 2.13 (1.51 to 2.99) |
| Reported bans in restaurants | |
| Total bans | 1.69 (1.31 to 2.18) |
| Other than total bans | 1.00 |
| Documented bans in restaurants | |
| Extensive bans | 1.67 (1.08 to 2.56) |
| None/limited bans | 1.00 |
| Country | |
| Canada | 0.93 (0.62 to 1.40) |
| USA | 0.68 (0.40 to 1.17) |
| UK | 0.52 (0.30 to 0.90) |
| Australia | 1.00 |
| Nagelkerke’s R2 | 0.14 |
