# Table 2 Logistic regression on e-cigarette ever use- adjusted for clustering within school

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