Skip to main content

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