Smoking status and demographic predictors of support for policies that could be implemented as part of a phasing out of retail sales of cigarettes in Australia
| n | Agree (strongly or somewhat) that shop owners should seriously be thinking about transitioning out of selling cigarettes | Support (strongly or somewhat) requiring shop owners to have a licence to sell cigarettes | Support (strongly or somewhat) restricting sales of cigarettes to places that children are not allowed to enter | ||||
| Adj % | AOR (95% CI) | Adj % | AOR (95% CI) | Adj % | AOR (95% CI) | ||
| Overall | 1874 | 64.6 | 75.3 | 76.3 | |||
| Smoking status* | |||||||
| Current | 282 | 38.5 | 1 | 61.5 | 1 | 61.1 | 1 |
| Former | 541 | 63.6 | 2.82 (1.80 to 4.41) | 68.5 | 1.38 (0.85 to 2.24) | 73.8 | 1.81 (1.15 to 2.87) |
| Never | 1052 | 72.2 | 4.21 (2.75 to 6.45) | 82.6 | 3.05 (1.96 to 4.73) | 81.6 | 2.87 (1.87 to 4.39) |
| Gender | |||||||
| Male | 925 | 63.8 | 1 | 70.6 | 1 | 74.6 | 1 |
| Female | 950 | 65.5 | 1.08 (0.82 to 1.43) | 80.1 | 1.72 (1.26 to 2.36) | 78.0 | 1.22 (0.90 to 1.65) |
| Age | |||||||
| 18–34 | 543 | 65.3 | 1 | 76.5 | 1 | 75.3 | 1 |
| 35–54 | 634 | 60.5 | 0.80 (0.53 to 1.21) | 70.9 | 0.74 (0.46 to 1.19) | 72.7 | 0.87 (0.57 to 1.33) |
| 55+ | 698 | 67.9 | 1.13 (0.77 to 1.67) | 78.4 | 1.12 (0.70 to 1.81) | 80.5 | 1.37 (0.90 to 2.10) |
| Highest level of education | |||||||
| No tertiary education | 643 | 60.5 | 1 | 75.3 | 1 | 78.9 | 1 |
| Some tertiary education | 1232 | 66.8 | 1.34 (0.99 to 1.80) | 75.4 | 1.01 (0.72 to 1.41) | 74.9 | 0.79 (0.57 to 1.10) |
| Region | |||||||
| Metropolitan | 1240 | 65.2 | 1 | 75.2 | 1 | 75.3 | 1 |
| Rest of the state | 634 | 63.6 | 0.93 (0.68 to 1.28) | 75.6 | 1.03 (0.72 to 1.46) | 78.2 | 1.18 (0.83 to 1.69) |
| Socioeconomic status (SES)† | |||||||
| Low-mid SES | 1008 | 64.7 | 1 | 75.0 | 1 | 77.3 | 1 |
| High SES | 866 | 64.6 | 0.99 (0.74 to 1.34) | 75.7 | 1.04 (0.74 to 1.47) | 75.2 | 0.88 (0.64 to 1.23) |
All n’s are weighted and may not sum to the total due to rounding. The analytical sample was limited to those respondents who did not have missing data on any of the smoking status or demographic predictor variables, n=1874. Data were missing for n=5 respondents for smoking status (refused to respond or ‘don’t know’), n=6 respondents for gender (‘other’), 4 respondents for age (undetermined), 40 respondents for highest level of educational attainment (not determined), n=6 respondents for region (could not be established) and 11 respondents for socioeconomic status (could not be established). However, due to some overlap in which cases had missing data across these demographic variables, a total of n=65 cases were excluded from multivariable models. Bold ORs and 95% CIs were significant at p<0.05.
*Current smokers were defined as those who smoked on a daily, weekly or less often than weekly basis. Former smokers did not currently smoke but had smoked at least 100 cigarettes or a similar amount of tobacco over their lifetime. Never smokers did not currently smoke and had not smoked at least 100 cigarettes over their lifetime.
†SES was determined using the Australian Bureau of Statistics’ Socio-Economic Indexes for Areas (SEIFA) disadvantage scale. SEIFA quintiles 1, 2 and 3 were combined for the low-mid SES category and SEIFA quintiles 4 and 5 were combined for the high SES category.
Adj %, predicted probability of agreement, adjusted for smoking status, gender, age, highest level of education, region and socioeconomic status; AOR, adjusted OR, adjusted for smoking status, gender, age, highest level of education, region and socioeconomic status.