Objectives This study investigated the effectiveness of the social marketing mix approach in increasing students’ knowledge about smoking, promoting positive attitudes toward smoking cessation, and decreasing smoking behavior.
Methods This quantitative research study incorporated a quasi-experimental method with a pretest-posttest non-equivalent group design. Using the purposive sampling technique, 152 smoking students were selected as participants. They were divided into 2 equal groups, with 76 students in the control group and 76 in the intervention group. The data were collected using questionnaires and analyzed with the chi-square test, independent t-test, Wilcoxon signed-rank test, and Mann-Whitney U-test.
Results The social marketing mix intervention was effective in increasing the students’ knowledge about smoking (p<0.001), improving their attitude toward smoking cessation (p<0.001), and reducing their smoking behavior (p=0.014).
Conclusions This approach should be implemented by local governments to reduce smoking behavior in the community, especially among teenagers, in addition to instituting a smoking ban and applying fines.
OBJECTIVES The purpose of this study was to develop a prediction model for future smoking intention among Korean adolescents aged 13 to 15 in order to identify the high risk group exposed to future smoking. METHODS: The data was collected from a total of 5940 students who participated in a self-administrated questionnaire of a cross-sectional school-based survey, the 2004 Korea Global Youth Tobacco Survey. Chi-square tests and logistic regression analyses were carried out to identify the relevant determinants associated with intentions of adolescents' future smoking. Receiver Operation Characteristic (ROC) assessment was applied to evaluate the explanation level of the developed prediction model. RESULTS: 8.4% of male and 7.2% of female participants show their intentions of future smoking. Among non-smoking adolescents; who have past smoking experience [odds ratio (OR) 2.73; 95% confidence interval (CI) 1.92 - 3.88]; who have intentions of smoking when close friends offer a cigarette (OR 31.47; 95% CI = 21.50 - 46.05); and who have friends that are mostly smokers (OR 5.27; 95% CI = 2.85 - 9.74) are more likely to be smokers in the future. The prediction model developed from this study consists of five determinants; past smoking experience; parents smoking status; friends smoking status; ownership of a product with a cigarette brand logo; and intentions of smoking from close friends' cigarette offer. The area under the ROC curve was 0.8744 (95% CI=0.85 - 0.90) for current non-smokers. CONCLUSIONS: For efficiency, school-based smoking prevention programs need to be designed to target the high risk group exposed to future smoking through the prediction model developed by the study, instead of implementing the programs for all the students.
Summary
Citations
Citations to this article as recorded by
Electronic Cigarette Cessation in Youth and Young Adults: A Case Series Gautam Sikka, MopeninuJesu Oluyinka, Raiza Schreiber, Panagis Galiatsatos Tobacco Use Insights.2021; 14: 1179173X2110266. CrossRef
A Comparative Analysis of Machine Learning Methods for Class Imbalance in a Smoking Cessation Intervention Khishigsuren Davagdorj, Jong Seol Lee, Van Huy Pham, Keun Ho Ryu Applied Sciences.2020; 10(9): 3307. CrossRef
School-related factors affecting smoking intention among Korean middle school students Jin Suk Ra, Mi Sook Jung Applied Nursing Research.2018; 39: 34. CrossRef
Subgrouping High School Students for Substance Abuse–Related Behaviors: A Latent Class Analysis Fariba Khayyati, Asghar Mohammadpoorasl, Hamid Allahverdipour, Mohammad AsghariJafarabadi, Kamiar Kouzekanani American Journal of Men's Health.2017; 11(4): 1200. CrossRef
Socioeconomic Disparities in Smoking Behavior and Early Smoking Initiation Among Men in Malawi Sanni Yaya, Ghose Bishwajit, Vaibhav Shah, Michael Ekholuenetale Tobacco Use Insights.2017; 10: 1179173X1772629. CrossRef
Association between Peer Cigarette Smoking and Electronic Cigarette Smoking among Adolescent Nonsmokers: A National Representative Survey Jun Hyun Hwang, Soon-Woo Park, Hajo Zeeb PLOS ONE.2016; 11(10): e0162557. CrossRef
Factors Associated with Early Smoking Initiation among Korean Adolescents Eun Sun So, Ji Young Yeo Asian Nursing Research.2015; 9(2): 115. CrossRef
Personality, Perceived Environment, and Behavior Systems Related to Future Smoking Intentions among Youths: An Application of Problem-Behavior Theory in Shanghai, China Yong Cai, Rui Li, Jingfen Zhu, Li Na, Yaping He, Pam Redmon, Yun Qiao, Jin Ma, Jacobus van Wouwe PLOS ONE.2015; 10(3): e0122276. CrossRef
Risk Factors of Future Smoking Among Thai Youth Gyeongsil Lee, Joann Lee, Sungkyu Lee Asia Pacific Journal of Public Health.2015; 27(2): NP2602. CrossRef
Influence of Experiences of Witnessing Tobacco Advertising and Preferences of Tobacco Companies' Social Responsibility on Current and Future Smoking Intentions in Adolescents Sung Rae Shin, Sun Hwa Shin, Bok Keun Lee, Jin Hee Yang Journal of Korean Academy of Community Health Nursing.2014; 25(1): 33. CrossRef
Prevalence and Factors Associated with Smoking Intentions among Non-smoking and Smoking Adolescents in Kota Tinggi, Johor, Malaysia Lim Kuang Hock, Sumarni Mohamad Ghazali, Kee Chee Cheong, Lim Kuang Kuay, Lim Hui Li, Teh Chien Huey, Chan Ying Ying, Yeo Lay Yen, Fiona Goh Swee Ching, Khoo Yi Yi, Chong Zhuo Lin, Normala Ibrahim, Amal Nasir Mustafa Asian Pacific Journal of Cancer Prevention.2014; 15(10): 4359. CrossRef
Influence of Smoker Image Perceived Cigarette Advertising on Intention of Adulthood Smoking Among Highschool Students Goo-Churl Jeong The Journal of the Korea Contents Association.2014; 14(12): 785. CrossRef
Risk Factors for Smoking Behaviors Among Adolescents Sung Suk Chung, Kyoung Hwa Joung The Journal of School Nursing.2014; 30(4): 262. CrossRef
Analysis of Smoking by South Korean Middle School Students: Shifting Preferences in Brand Choice and Rising Popularity of Marlboro Cigarettes Randy M. Page, Yarazeth Hernandez Romero International Quarterly of Community Health Education.2013; 33(3): 289. CrossRef
Association between Exposures of Smoking Scenes in Movies and Smoking Behavior among Korean Adolescents 김이경, 이향기, Sun Ha Jee, 이성규 Health and Social Welfare Review.2013; 33(4): 497. CrossRef
Cross‐Cultural Analysis of Cognitive Attributions of Smoking in Thai and South Korean Adolescents Randy M. Page, Sunhee Park, Jiraporn Suwanteerangkul, Hyunju Park, Maria Kemeny, Lynn Philips Journal of School Health.2012; 82(2): 57. CrossRef
Smoking Trajectories among Koreans in Seoul and California: Exemplifying a Common Error in Age Parameterization Jon-Patrick Allem, John W. Ayers, Jennifer B. Unger, Veronica L. Irvin, C. Richard Hofstetter, Melbourne F. Hovell Asian Pacific Journal of Cancer Prevention.2012; 13(5): 1851. CrossRef
Preventable Lifestyle Risk Factors for Non-Communicable Diseases in the Pakistan Adolescents Schools Study 1 (PASS-1) Ali Khan Khuwaja, Saleem Khawaja, Komal Motwani, Adeel Akbar Khoja, Iqbal Syed Azam, Zafar Fatmi, Badar Sabir Ali, Muhammad Masood Kadir Journal of Preventive Medicine and Public Health.2011; 44(5): 210. CrossRef
Current health issues in Korean adolescents Chang Ho Hong Korean Journal of Pediatrics.2011; 54(10): 395. CrossRef
Public Health Challenges of Electronic Cigarettes in South Korea Sungkyu Lee, Heejin Kimm, Ji Eun Yun, Sun Ha Jee Journal of Preventive Medicine and Public Health.2011; 44(6): 235. CrossRef
OBJECTIVES An outbreak of shigellosis occurred among students and staff of S primary and middle school, Seongju-gun, in 2003. This investigation was carried out to institute an effective counterplan, and study the infection source and transmission of the shigellosis. METHODS: The authors conducted a questionnaire survey among 235 students and staff from S preschool, primary and middle school relating to the ingestion of school lunch and the manifestation of symptoms. Also, the author investigated the drinking water, feeding facility and reconstructed cooking process of the food presumed to be the cause of the shigellosis. The diarrhea cases were defined as confirmed cases and those cases who had had diarrhea more than one time, accompanied with symptoms such as fever, vomiting and tenesmus. RESULTS: From rectal swabs 20 people, between June 28 and July 4, 2003, were confirmed with shigellosis. The diarrhea attack rate was 40.0%. Those who had ingested tomatoes and cubed radish kimchi had significantly higher diarrhea attack rates (p< 0.05), with the relative risk of tomatoes being 2.69 (95% CI: 0.98-7.42). The major cause of shigellosis was presumed to be from contaminated tomatoes due to cooking with rubber gloves containing holes. CONCLUSION: The cooks in charge of school lunches must make doubly sure to not only attend to their sanitation, but also to manage the table wear and items used in providing school lunches. The health care authority should introduce higher-leveled criteria for health care among cooks, so that they cannot cook when the have a case of any infectious disease.