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Table 4 The relationship between the intention not to start smoking and other variables after exposure to graphic health warnings during the past 30 days among 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

3190

(93.2)

3.01

(2.52–3.58)

3393

(94.3)

2.42

(2.03–2.88)

 8th grade

3041

(87.1)

1.78

(1.56–2.04)

3358

(90.1)

1.58

(1.36–1.84)

 9th grade

2850

(83.6)

1.58

(1.37–1.82)

3334

(88.8)

1.49

(1.29–1.73)

 10th grade

2693

(77.2)

1.23

(1.09–1.40)

3180

(87.0)

1.43

(1.25–1.63)

 11th grade

2676

(71.5)

1.11

(1.00–1.24)

3147

(84.1)

1.26

(1.11–1.43)

 12th grade

2431

(67.3)

1.00

 

2985

(80.4)

1.00

 

Current smoking status

 Smoker

817

(32.1)

0.15

(0.13–0.16)

264

(33.6)

0.13

(0.11–0.16)

 Non-Smoker

16,064

(85.6)

1.00

 

19,133

(89.1)

1.00

 

e-cigarette status

 User

285

(32.5)

0.64

(0.53–0.78)

63

(29.4)

0.50

(0.32–0.78)

 Non-User

16,596

(81.2)

1.00

 

19,334

(87.7)

1.00

 

Expose to Secondhand Smoke

 Exposed

5073

(74.8)

0.85

(0.79–0.92)

6127

(84.7)

0.96

(0.88–1.05)

 Non-exposed

11,808

(81.1)

1.00

 

13,270

(88.2)

1.00

 

Tobacco Advertise

 Exposed

14,272

(79.5)

1.03

(0.92–1.15)

16,507

(87.6)

1.22

(1.10–1.35)

 Non-exposed

2609

(76.9)

1.00

 

2890

(83.9)

1.00

 

Anti-Tobacco Advertisement

 Exposed

14,701

(80.7)

1.34

(1.23–1.47)

17,710

(88.0)

1.55

(1.35–1.77)

 Non-exposed

2180

(70.2)

1.00

 

1687

(78.4)

1.00

 

Experience of smoking prevention education in school

 Yes

13,267

(81.0)

1.40

(1.28–1.53)

15,361

(88.0)

1.23

(1.12–1.36)

 No

3614

(73.2)

1.00

 

4036

(83.8)

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