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Table 3 Associations between e-cigarette involvement, demographics and drinking behaviours in school children that have never smoked

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

Gender

(Ref) Female

50.8

4931

3.4

   
 

Male

49.2

4768

6.4

<0.001

1.96 (1.59-2.42)

<0.001

Age

(Ref) 14

23.1

2238

5.3

  

0.038

 

15

46.7

4532

4.5

 

0.72 (0.55-0.94)

0.011

 

16

28.4

2752

5.1

 

0.72 (0.53-0.98)

0.038

 

17

1.8

177

6.2

0.331

1.31 (0.63-2.75)

0.470

Deprivation quintile

(least; Ref) 1

14.1

1367

3.9

  

ns

 

2

16.3

1579

3.8

   
 

3

15.8

1533

4.4

   
 

4

18.1

1753

5.4

   
 

(most) 5

35.7

3467

5.7

0.007

  

Parents/guardians smoke

(Ref) No

67.1

6422

4.0

   
 

Yes

32.9

3143

6.5

<0.001

1.57 (1.28-1.93)

<0.001

Alcohol use

(Ref) Non-drinker

43.6

4180

3.6

  

<0.001

 

Occasional moderate

17.5

1679

3.6

 

1.38 (1.01-1.90)

0.045

 

Regular moderate

1.1

110

1.8

 

0.57 (0.14-2.40)

0.446

 

Occasional, binge

30.4

2915

5.9

 

2.39 (1.87-3.06)

<0.001

 

Regular, binge

7.3

704

11.5

<0.001

4.59 (3.34-6.29)

<0.001

  1. aChi squared analysis; bHierarchical backward conditional logistic regression including all variables shown, included sample n = 9,458. AOR = adjusted odds ratio; CIs = confidence intervals; Ref = reference category; ns = not significant.