# Table 3 Logistic regression on intention to try e-cigarettes in next 6 months - adjusted for clustering within school

OR (99 % CI) OR (99 % CI) OR (99 % CI) OR (99 % CI)
n = 2819 n = 3370 n = 3808
Recall e-cig supermarket 3.60 (3.03 to 4.27) 1.59 (1.17 to 2.17) 1.60 (1.18 to 2.18) 1.70 (1.22 to 2.36)
Recall e-cig small shop 3.93 (2.76 to 5.60) 1.87 (1.04 to 3.35) 1.88 (1.04 to 3.38) 1.80 (1.08 to 2.99)
Recall internet e-cig ads 2.38 (1.51 to 3.76) 1.39 (0.78 to 2.49) 1.44 (0.83 to 2.50) 1.50 (0.77 to 2.95)
Recall other e-cig ads 2.01 (1.87 to 2.17) 1.28 (0.76 to 2.17) 1.31 (0.77 to 2.24) 1.24 (0.74 to 2.09)
Never smoked tobacco   0.32 (0.27 to 0.39) 0.33 (0.27 to 0.39) 0.32 (0.24 to 0.43)
Tried e-cigarette   16.60 (13.09 to 21.04) 20.01 (15.34 to 26.11) 19.91 (13.76 to 28.80)
Gender- male   1.59 (0.68 to 3.72) 1.56 (0.66 to 3.72) 1.56 (0.73 to 3.33)
Ethnic group-non-white   1.39 (0.90 to 2.14) 1.33 (0.85 to 2.08) 1.24 (0.69 to 2.22)
Age   1.16 (1.00 to 1.33) 1.16 (1.01 to 1.33) 1.16 (1.07 to 1.27)
FAS low   1 1 1
FAS medium   1.16 (0.82 to 1.63) 1.16 (0.82 to 1.64) 1.14 (0.79 to 1.63)
FAS high   1.56 (1.05 to 2.31) 1.58 (1.07 to 2.33) 1.50 (1.05 to 2.13)
1. Bold p < 0.01
2. Hosmer-Lemeshow chi square goodness of fit model 1 chi square = 8.63, p = 0.37, model 2 chi square- = 3.45, p = 0.90