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Table 4 Two part model of the quantity of cigarettes smoked in a month

From: Are social norms associated with smoking in French university students? A survey report on smoking correlates

 

Part 1: P(nb cig > 0)

N = 721

Part 2: log(nb cig)

N = 245

Variable

OR

β/σ

 

exp(β)

β/σ

 

Academic discipline (ref = sociology)

      

• English as a foreign language

   

1.0318

0.09

 

• Medicine

-

0.4828

-3.25

**

• Nursing

   

0.6809

-2.16

 

Perceived approval of regular smoking by friends (ref = strong disapproval)

      

• Approval

4.5358

5.08

***

2.9571

3.41

**

• Disapproval

1.6844

2.13

*

2.4925

6.28

***

Perceived proportion of friends smoking (ref = none)

      

• <33%

1.2195

0.52

    

• Half

3.4953

3.13

**

-

• >66%

2.6591

2.61

**

   

Smoke discomfort in university (ref = never)

      

• Seldom

0.4227

-2.15

*

0.6747

-2.33

*

• Sometimes

0.2606

-3.18

**

0.2849

-4.45

**

• Often

0.1572

-3.19

**

0.1264

-4.29

**

Position about smoke-free universities (ref = against)

      

• Indifferent

0.2288

-2.62

**

0.5718

-2.98

*

• Mostly for

0.1506

-3.99

***

0.5687

-1.99

 

• Totally for

0.0756

-6.54

***

0.4794

-3.52

**

Tobacco perception score (high scores = positive perceptions)

1.1635

3.63

***

-

Beliefs about tobacco industry score (high scores = negative beliefs)

-

1.0342

2.26

*

Binge drinking (ref = no)

      

• Occasional (< 4 times/month)

2.9303

2.54

*

-

• Weekly (≥ 4 times/month)

1.3186

0.39

    

Cannabis use (ref = no use)

      

• Occasional (≤ 1/week)

3.4140

3.62

***

-

• Regular (> 1/week)

8.2666

2.13

*

   

Gender (ref = male)

2.7103

2.80

**

-

Age

-

1.0366

3.13

*

Constant (exponentiated)

0.2899

-1.40

 

30.9910

8.22

***

Duan's smearing estimator

Not applicable

2.2494

Not applicable

  1. *** p < 0.001; ** p < 0.010; * p < 0.050
  2. Notes: Only independent variables with a bootstrap-estimated, backward selection inclusion probability ≥ 80% were included in each part of the model; - = variable not included; OR = odds ratio; β/SE = Wald test statistic (β = regression coefficient, σ = standard error of the coefficient). Part 1 models the probability of being a smoker using logistic regression, part 2 models the log-number of cigarettes smoked in a month by smokers using linear regression.