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HOME > J Prev Med Public Health > Volume 38(2); 2005 > Article
English Abstract Factors Affecting Re-smoking in Male Workers.
Jin Hoon Yang, Hee Sook Ha, Sin Kam, Ji Seun Lim, Yune Sik Kang, Duk Hee Lee, Byung Yeol Chun
Journal of Preventive Medicine and Public Health 2005;38(2):208-214
DOI: https://doi.org/
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1Department of Preventive Medicine, School of Medicine, Kyungpook National University and Heath Promotion Research Center, Korea. kamshin@knu.ac.kr
2Graduate School of Public Health, Kyungpook National University, Korea.
3Department of Preventive Medicine, School of Medicine, Gyeongsang National University, Korea.

OBJECTIVES
This study was performed to examine the factors affecting re-smoking in male workers. METHODS: A self-administrated questionnaire survey was conducted during April 2003 to examine the smoking state of 1, 154 employees of a company that launched a smoking cessation campaign in1998. Five hundred and eighty seven persons, who had stopped smoking for at least one week, were selected as the final study subjects. This study collected data on smoking cessation success or failure for 6 months, and looked at the factors having an effect on resmoking within this period. This study employed the Health Belief Model as its theoretical basis. RESULTS: The re-smoking rate of the 587 study subjects who had stopped smoking for at least one week was 44.8% within the 6 month period. In a simple analysis, the resmoking rates were higher in workers with a low age, on day and night shifts, blue collar, of a low rank, where this was their second attempt at smoking cessation and for those with a shorter job duration (p< 0.05). Of the cues to action variables in the Heath Belief Model, re-smoking was significantly related with the perceived susceptibility factor, economic advantages of smoking cessation among the perceived benefits factor, the degree of cessation trial's barrier of the perceived barriers factor, smoking symptom experience, recognition of the degree of harmfulness of environmental tobacco smoke and the existence of chronic disease due to smoking (p< 0.05). In the multiple logistic regression analysis for re-smoking, the significant variables were age, perceived susceptibility for disease, economic advantages due to smoking cessation, the perceived barrier for smoking cessation, recognition on the degree of harmfulness of environmental tobacco smoke, the existence of chronic disease due to smoking and the number of attempts at smoking cessation (p< 0.05). CONCLUSION: From the result of this study, for an effective smoking ban policy within the work place, health education that improves the knowledge of the adverse health effects of smoking and the harmfulness of environmental tobacco smoke will be required, as well as counter plans to reduce the barriers for smoking cessation.

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