Table 3 Logistic regression odds ratio estimates and 95% CIs for daily smoking from the combined sample (weighted)
Variable | Category | Phone ownership effects only | Phone ownership and survey collection method effects | Model with all covariates |
|---|---|---|---|---|
Phone ownership | Dual phone | 1.00 | 1.00 | 1.00 |
Mobile only | 2.14 (1.84, 2.49) | 2.14 (1.84, 2.49) | 1.94 (1.65, 2.28) | |
Landline only | 1.17 (0.99, 1.40) | 1.17 (0.98, 1.39) | 1.19 (0.99, 1.43) | |
Collection method | Self-administered | 1.00 | 1.00 | |
CATI | 0.99 (0.86, 1.14) | 0.97 (0.84, 1.12) | ||
Sex | Female | 1.00 | ||
Male | 1.60 (1.40, 1.83) | |||
Age | 65+ | 1.00 | ||
55-64 | 2.38 (1.93, 2.93) | |||
45-54 | 3.23 (2.63, 3.97) | |||
35-44 | 2.37 (1.89, 2.97) | |||
25-34 | 2.72 (2.11, 3.50) | |||
18-24 | 1.73 (1.29, 2.32) | |||
Remoteness | Metropolitan | 1.00 | ||
Rural/regional | 1.16 (0.98, 1.38) | |||
Socio-economic status | 5th Quintile (highest SES) | 1.00 | ||
4th Quintile | 1.24 (0.96, 1.60) | |||
3rd Quintile | 1.91 (1.53, 2.39) | |||
2nd Quintile | 2.12 (1.68, 2.66) | |||
1st Quintile (lowest SES) | 3.15 (2.51, 3.97) | |||
Country of birth | Australia | 1.00 | ||
Other | 0.81 (0.69, 0.94) | |||
Education | Trade certificate or higher | 1.00 | ||
No qualifications | 1.60 (1.39, 1.83) |