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Table 3 The relationship between perception about the harm of smoking and other variables after exposure to graphic health warnings during the previous 30 days by South Korean boys and girls

From: The association between new graphic health warning labels on tobacco products and attitudes toward smoking among south Korean adolescents: a national cross-sectional study

Variable

Boys

Girls

N

(%)a

AORb

(95% CI)

n

(%)a

AORb

(95% CI)

Grade

 7th grade

3242

(94.6)

3.96

(3.31–4.75)

3390

(94.0)

2.76

(2.32–3.30)

 8th grade

3082

(88.3)

1.93

(1.67–2.23)

3356

(90.0)

1.77

(1.52–2.06)

 9th grade

2899

(85.0)

1.63

(1.41–1.88)

3337

(89.0)

1.65

(1.43–1.90)

 10th grade

2726

(78.0)

1.16

(1.02–1.31)

3165

(86.4)

1.42

(1.25–1.60)

 11th grade

2773

(74.2)

1.10

(0.98–1.23)

3110

(83.1)

1.16

(1.02–1.31)

 12th grade

2546

(70.6)

1.00

 

2990

(80.2)

1.00

 

Current smoking status

 Smoker

1180

(47.7)

0.25

(0.23–0.28)

404

(52.4)

0.25

(0.21–0.30)

 Non-Smoker

16,088

(85.6)

1.00

 

18,944

(88.1)

1.00

 

e-cigarette status

 User

427

(49.7)

0.85

(0.72–0.99)

108

(52.1)

0.74

(0.53–1.05)

 Non-User

16,841

(82.4)

1.00

 

19,240

(87.1)

1.00

 

Expose to Secondhand Smoke

 Exposed

5317

(78.9)

0.97

(0.90–1.05)

6174

(85.4)

0.99

(0.90–1.09)

 Non-exposed

11,951

(81.9)

1.00

 

13,174

(87.4)

1.00

 

Tobacco Advertise

 Exposed

14,627

(81.6)

1.09

(0.98–1.22)

16,453

(87.3)

1.11

(0.99–1.24)

 Non-exposed

2641

(77.6)

1.00

 

2895

(83.8)

1.00

 

Anti-Tobacco Advertisement

 Exposed

15,057

(82.7)

1.48

(1.35–1.62)

17,699

(87.9)

1.85

(1.64–2.08)

 Non-exposed

2211

(71.2)

1.00

 

1649

(76.3)

1.00

 

Experience of smoking prevention education in school

 Yes

13,580

(82.9)

1.38

(1.26–1.50)

15,325

(87.8)

1.20

(1.10–1.32)

 No

3688

(74.9)

1.00

 

4023

(83.3)

1.00

 
  1. AOR Adjusted odds ratio, CI Confidence interval
  2. aWeighted percentages considering the complex sample survey design
  3. bObtained from multinomial logistic regression analysis with control variables; Region, Family living structure, Perceived academic record, Perceived household economic status, Perceived stress, Depression experience, Current alcohol use