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Table 5 Logistic regression analyses examining predictors of e-cigarette perceived harm and addictiveness

From: Associations of attitudes towards electronic cigarettes with advertisement exposure and social determinants: a cross sectional study

   

Perceived Harm (n = 5921)

Perceived Addictiveness (n = 5832)

   

aOR (Wald CI)

logit

aOR (Wald CI)

logit

Race

 

NonWhite

1

ref

1

ref

  

White

1.31 (1.17–1.47)

0.2702**

0.93 (0.83-1.05)

−0.0698

Gender

 

Female

1

ref

1

ref

  

Male

1.69 (1.54–1.86)

0.5245**

1.60 (1.45–1.76)

0.4689**

E-Cigarette

Non User

1

ref

1

ref

  

User

3.17 (2.80–3.58)

1.1524**

2.77 (2.45–3.13)

1.0169**

Smoking History

     
 

Individual

Yes

1

ref

1

ref

  

No

1.78 (1.56–2.04)

0.5775**

1.08 (0.94–1.23)

0.0757

 

Mother

Yes

1

ref

1

ref

  

No

1.22 (1.11–1.36)

0.1992**

1.03 (0.93–1.14)

0.0504

Advertising seen on

     
 

Internet

No

1

ref

1

ref

  

Yes

1.19 (1.08–1.31)

0.1775*

1.05 (0.95–1.16)

0.0503

 

TV

No

1

ref

1

ref

  

Yes

1.06 (0.97–1.16)

0.0582

1.04 (0.95–1.15)

0.0430

 

Magazine

No

1

ref

1

ref

  

yes

0.96 (0.87–1.06)

−0.0402

0.91 (0.82–1.01)

−0.0912

  1. Race was coded 1 = White, 0 = Non-White; Gender was coded 1 = Male, 0 = Female; E-Cigarette User was coded 1 = User, 0 = Non-User; Individual smoking history was coded 1 = Yes, 0 = No; Mother’s smoking history was coded 1 = Yes, 0 = No; Internet advertising was coded 1 = Yes, 0 = No; TV advertising was coded 1 = Yes, 0 = No; Magazine Advertising was coded 1 = Yes, 0 = No
  2. Higher aOR represent lower perceived harm and addictiveness relative to reference group
  3. Abbreviations: aOR adjusted odds ratio, CI confidence interval
  4. *p < 0.05, ** p <0.01
  5. P values are within model