Skip to main content

Table 1 Associations between e-cigarette access and demographics, smoking and drinking status, and parental smoking

From: Associations between e-cigarette access and smoking and drinking behaviours in teenagers

  

Sample distribution

Accessed e-cigarettes

  

%

n

%

Pa

AOR (95% CIs)b

P

All

 

100.0

16193

19.2

   

Gender

(Ref) Female

52.9

8569

17.7

   
 

Male

47.1

7624

20.8

<0.001

1.64 (1.47-1.82)

<0.001

Age

(Ref) 14

20.5

3318

16.3

   
 

15

45.4

7350

17.9

   
 

16

31.7

5141

22.1

   
 

17

2.4

384

28.4

<0.001

 

ns

Deprivation quintile

(least deprived, Ref) 1

12.5

2022

14.4

   
 

2

15.1

2447

16.4

   
 

3

15.8

2555

17.9

   
 

4

18.7

3035

21.8

   
 

(most deprived) 5

37.9

6134

21.0

<0.001

 

ns

Smoking status

(Ref) Never smoked

61.2

9699

4.9

  

<0.001

 

Tried but didn’t like it

19.4

3082

22.6

 

5.10 (4.44-5.86)

<0.001

 

Ex-smoker

5.1

803

50.7

 

17.94 (14.87-21.63)

<0.001

 

Smoke when drinking

5.1

805

43.4

 

14.16 (11.62-17.26)

<0.001

 

Regular light smoker

2.9

457

67.2

 

36.55 (28.64-46.64)

<0.001

 

Regular heavy smoker

6.4

1012

75.8

<0.001

50.28 (40.97-61.71)

<0.001

Parent/guardian smokes

(Ref) No

59.4

9435

13.2

   

Yes

40.6

6454

27.4

<0.001

1.53 (1.37-1.70)

<0.001

Drinking status

(Ref) Non-drinker

31.7

5067

9.3

  

<0.001

 

Occasional moderate

13.2

2115

8.2

 

0.96 (0.77-1.19)

0.719

 

Regular moderate

1.1

175

13.7

 

0.91 (0.53-1.57)

0.744

 

Occasional, binge

38.0

6066

21.8

 

1.46 (1.26-1.69)

<0.001

 

Regular, binge

15.9

2544

41.9

<0.001

1.89 (1.59-2.24)

<0.001

  1. aChi squared analysis; bHierarchichal backward conditional logistic regression including all variables shown with school entered in the first block, included sample n = 15,400. AOR = adjusted odds ratio; CIs = confidence intervals; Ref = reference category; ns = not significant.