Table 4

Results of multivariate logistic regression examining factors associated with purchasing less expensive cigarettes

NPercentage who bought less expensive cigarettes*OR95% CI
 Female23257.11.370.80 to 2.34
Age in years
 35–44115325.20.820.58 to 1.16
 45–54162432.41.080.79 to 1.48
 55 or older146353.12.611.90 to 3.59
Ethnic group
 Others23536.41.010.66 to 1.56
Highest level of education
 Medium309236.70.580.44 to 0.78
 High101416.30.280.20 to 0.39
Household income per month
 Medium212039.60.500.39 to 0.64
 High134418.20.210.16 to 0.28
 Don't know/cannot say34029.90.340.22 to 0.51
Number of cigarettes smoked per day
 11–20231636.31.231.03 to 1.46
 21–3040045.91.741.28 to 2.35
 31 or more34440.71.320.95 to 1.83
Think about the money spent on smoking in the last month
 Occasionally96136.81.180.95 to 1.45
 Often57154.92.101.62 to 2.71
 Don't know/cannot say5334.50.900.42 to 1.94
Index of knowledge about the adverse health effects of smoking
 2–3111037.50.920.68 to 1.24
 4–5141933.70.890.70 to 1.12
 6–8123431.30.770.59 to 1.01
  • City was not included in this model because we used the lowest tertile of cigarette price paid in each city as the cut-off for less expensive cigarettes, thus the percentage of smokers who bought less expensive cigarettes is the same across cities (1/3).

  • * Refers to the last purchase.