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Table 1 Demographic characteristics, predictor variables and outcome variables among adult smokers in Malaysia and Thailand who were re-contacted at Waves 2 and 3

From: Stronger pack warnings predict quitting more than weaker ones: finding from the ITC Malaysia and Thailand surveys

 

Malaysia

Thailand

P value for country comparison

N = 763 for W1- W2 cohort^!;

N = 1018 for W1-W2 cohort;

N = 783 for W2- W3 cohort

N = 803 for W2-W3 cohort

Demographics (baseline of the W1-W2 cohort)

   

Age [Mean age in years (SD)]

42.1 (14.1)

43.9 (12.5)

<0.01#

Gender [n (%)]

  

<0.001##

 Male

742 (97.2)

952 (93.5)

 

 Female

21 (2.7)

66 (6.5)

 

Residence [n (%)]

  

<0.001##

 Rural

352 (46.1)

678 (66.6)

 

 Urban

411 (53.9)

340 (33.4)

 

Predictor variables

   

Warning labels salience [Mean (SD)] at W1*

3.1 (1.6)

3.5 (1.7)

<0.001#

Warning labels salience [Mean (SD)] at W2**

2.9 (1.7)

3.7 (1.6)

<0.001#

Cognitive responses toward warning label [Mean (SD)] at W1

2.5 (1.8)

3.6 (1.9)

<0.001#

Cognitive responses toward warning label [Mean (SD)] at W2

2.3 (1.7)

3.8 (2.0)

<0.001#

Stopping from having a cigarette because of warnings/forgoing [n (%)] at W1

326 (44.6)

476 (46.8)

NS##

Stopping from having a cigarette because of warnings/forgoing [n (%)] at W2

242 (32.1)

399 (50.0)

<0.001##

Avoid looking at warnings [n (%)] at W1

160 (22.1)

359 (35.3)

<0.001##

Avoid looking at warnings [n (%)] at W2

117 (15.6)

426 (53.4)

<0.001##

Knowledge scores [Mean (SD)] at W1

5.1 (1.9)

5.7 (1.4)

<0.001#

Knowledge scores [Mean (SD)] at W2

5.2 (1.8)

6.1 (1.4)

<0.001#

Outcome variables

   

Any interest in quitting [n (%)] at W1

430 (57.3)

418 (41.1)

<0.001##

Any interest in quitting [n (%)] at W2

407 (52.2)

239 (29.8)

<0.001##

Quit attempts [n (%)] at W2

306 (40.1)

758 (74.5)

<0.001##

Quit attempts [n (%)] at W3

316 (40.4)

602 (74.9)

<0.001##

  1. ^For details of the samples, please see the methods section. !“W1” means “Wave 1” of the survey; this applies to the other waves.
  2. #T-test results; SD, standard deviation; ##Chi-square test results.
  3. *”Salience” is a combined variable (see the measures subsection); for Wave 1, the number of cases used to compute the salience variable (and the mean) is slightly smaller than the total N for W1-W2 cohort, due to “can’t say, unaware” or missing data. **Similarly, for Wave 2, the number of cases used to compute the variable is slightly smaller than the total N for W2-W3 cohort. This applies to other predictor and outcome variables in the Table.