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Table 3 Logistic regression odds ratio estimates and 95% CIs for daily smoking from the combined sample (weighted)

From: The impact of the mode of survey administration on estimates of daily smoking for mobile phone only users

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)