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
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 |
AOR Adjusted odds ratio, CI Confidence interval
aWeighted percentages considering the complex sample survey design
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