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Table 2 Logistic regression on e-cigarette ever use- 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 fully imputed m = 20
OR (99 % CI) OR (99 % CI) OR (99 % CI) OR (99 % CI)
n = 2874 n = 3425 n = 3808
Recall e-cig supermarket 2.56 (1.89 to 3.47) 1.66 (0.95 to 2.89) 1.76 (0.94 to 3.29) 1.82 (0.99 to 3.38)
Recall e-cig small shop 2.89 (2.36 to 3.54) 1.93 (1.51 to 2.48) 1.96 (1.64 to 2.34) 1.92 (1.61 to 2.29)
Recall internet e-cig ads 2.02 (1.73 to 2.35) 1.72 (1.17 to 2.52) 1.90 (1.26 to 2.84) 1.76 (1.29 to 2.40)
Recall other e-cig ads 1.57 (1.33 to 1.85) 1.00 (0.83 to 1.20) 1.10 (0.93 to 1.31) 1.12 (0.91 to 1.36)
Never smoked tobacco   0.08 (0.05 to 0.12) 0.08 (0.05 to 0.12) 0.08 (0.05 to 0.12)
Gender- male   1.24 (0.96 to 1.60) 1.11 (0.76 to 1.61) 1.10 (0.71 to 1.71)
Ethnic group-non-white   1.81 (0.75 to 4.36) 1.48 (0.63 to 3.47) 1.44 (0.63 to 3.29)
Age   1.15 (1.08 to 1.22) 1.17 (1.10 to 1.24) 1.16 (1.09 to 1.24)
FAS low   1 1 1
FAS medium   1.01 (0.76 to 1.35) 1.00 (0.78 to 1.27) 1.04 (0.81 to 1.33)
FAS high   1.14 (0.63 to 2.04) 1.16 (0.65 to 2.06) 1.16 (0.66 to 2.03)
  1. Bold p < 0.01
  2. Hosmer-Lemeshow chi square goodness of fit Adjusted model 1 = 6.6, p = 0.58 Adjusted model 2 = 4.42, p = 0.82