The purpose of this study was to investigate the factors involved in the success of smoking cessation in heavy smokers enrolled in an intensive care smoking cessation camp program.

Heavy smokers enrolled in the program were classified into a success (n = 69) or failure (n = 29) group, according to whether they maintained smoking cessation for 6 months after the end of the program. Demographics, smoking behaviors, and smoking cessation-related characteristics were analyzed.

Statistically significantly more participants in the success group had a spouse (98.6%; p = 0.008) compared with participants in the failure group (82.8%). However, multivariate logistic regression analysis indicated that having a spouse was not an independent factor in smoking cessation (p = 0.349). A significant difference in the frequency of counseling between the success and failure groups was observed (p = 0.001), with 72.5% of those who received counseling on 3–5 occasions for 6 months after the end of program successfully quit smoking, indicating that those who received more counseling had a higher likelihood of smoking cessation success. This was confirmed as an independent factor by multivariate logistic regression (p < 0.005). Furthermore, a graduate school level of education or higher, indicated a statistically greater success rate compared to those that were less well educated (p = 0.043). This was also observed as a significant independent factor using multivariate logistic regression (p = 0.046).

Education level, marital status, and the number of counseling sessions were significant factors contributing to smoking cessation success.

This study aimed to identify the effects of anti-smoking public service announcements on the attitudes of Korean college students toward smoking.

This study involved students via convenience sampling from seven universities who were randomly assigned to four groups. All groups completed a preliminary questionnaire, before being shown a public service announcement twice, and then completed a post viewing questionnaire.

For announcements with positive messages, the proportion of changes in beliefs and attitudes were 39.1% and 19.8%, respectively, whereas those with negative messages showed a greater proportion of changes in the beliefs (59.7%) and attitudes (40.3%). After adjusting for sex and change in belief, the message types and smoking status were identified as factors affecting the change in the participants attitudes. A negative message resulted in a greater change in attitudes (odds ratio [OR], 3.047; 95% confidence interval [CI], 1.847–5.053). Ever-smokers including current smokers showed a greater positive change in attitude than never-smokers (OR, 6.965; 95% CI, 4.107–11.812).

This study found that positive anti-smoking public service announcements were more effective on attitude change than negative messages. Additionally these announcements were more effective among viewers who were current smokers or had a prior smoking experience.