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Table 4 Logistic regression on intention to smoke cigarettes- adjusted for clustering within school

From: Relationship between e-cigarette point of sale recall and e-cigarette use in secondary school children: a cross-sectional study

  Unadjusted model Adjusted model 1 Adjusted model 2 recoded e-cig variable Adjusted model 3 imputed model m = 20
OR (99 % CI) OR (99 % CI) OR (99 % CI) OR (99 % CI)
n = 2824 n = 3363 n = 3808
Recall tobacco supermarket 1.79 (1.05 to 3.06) 0.92 (0.64 to 1.32) 0.95 (0.60 to 1.51) 0.97 (0.56 to 1.70)
Recall tobacco small shop 2.74 (1.81 to 4.16) 1.96 (1.45 to 2.65) 2.19 (1.48 to 3.23) 1.98 (1.17 to 3.35)
Recall internet tobacco ads 1.53 (1.41 to 1.67) 1.14 (1.02 to 1.28) 1.14 (0.95 to 1.36) 1.19 (0.92 to 1.53)
Never smoked tobacco   0.06 (0.03 to 0.09) 0.05 (0.03 to 0.09) 0.05 (0.03 to 0.08)
Tried an e-cigarette   3.22 (1.74 to 5.95) 3.12 (1.66 to 5.89) 3.08 (1.79 to 5.29)
Gender- male   0.88 (0.62 to 1.24) 0.94 (0.72 to 1.22) 0.99 (0.75 to 1.33)
Ethnic group-non-white   0.76 (0.36 to 1.61) 0.76 (0.52 to 1.10) 0.85 (0.47 to 1.53)
Age   1.23 (1.00 to 1.52) 1.23 (1.04 to 1.46) 1.24 (1.07 to 1.43)
FAS low   1 1 1
FAS medium   1.46 (0.95 to 2.24) 1.39 (0.85 to 2.27) 1.44 (1.01 to 2.04)
FAS high   1.72 (0.97 to 3.05) 1.72 (0.92 to 3.24) 1.81 (1.03 to 3.18)
  1. Bold p < 0.01
  2. Hosmer-Lemeshow chi square goodness of fit model 1 chi square = 6.88 p = 0.55. Model 2 chi square = 11.56, p = 0.17