Factors Related to the Intention of Participation in a Worksite Smoking Cessation Program

근로자의 금연프로그램 참가의도와 관련된 요인

  • Kim, Sung-Ah (Medical Health Clinic, LG Electronics Inc.) ;
  • Kam, Sin (Department of Preventive Medicine and Public Health, School of Medicine, Kyungpook National University) ;
  • Yeh, Min-Hae (Department of Preventive Medicine and Public Health, School of Medicine, Kyungpook National University) ;
  • Park, Ki-Su (Department of Preventive Medicine and Public Health, School of Medicine, Kyungpook National University) ;
  • Oh, Hee-Sook (Department of Preventive Medicine and Public Health, School of Medicine, Kyungpook National University) ;
  • Son, Jae-Hee (Department of Preventive Medicine and Public Health, School of Medicine, Kyungpook National University)
  • 김성아 (LG전자(주) 부속의원) ;
  • 감신 (경북대학교 의과대학 예방의학교실) ;
  • 예민해 (경북대학교 의과대학 예방의학교실) ;
  • 박기수 (경북대학교 의과대학 예방의학교실) ;
  • 오희숙 (경북대학교 의과대학 예방의학교실) ;
  • 손재희 (경북대학교 의과대학 예방의학교실)
  • Published : 1999.09.01

Abstract

Objectives: This study was conducted to evaluate factors related to the intention of participation in a worksite smoking cessation program. Methods: To explain the health behavior of participating intention in a worksite smoking cessation program, the health belief model(HBM) was used as study model, and 144 self-administered questionnaires were completed by electronic company workers. Variables of the health belief model were composed of perceived susceptibility to smokinginduced disease, perceived severity of smoking-induced disease, economical gain as perceived benefit of smoking cessation, and nicotine dependency as perceived barrier of smoking cessation. Variables of sociodemographics, smoking status, knowledge about adverse health effects of smoking, and cues to smoking cessation were used as modifying factors. Results: Perceived severity(POR=1.99, 95% CI: 1.03-3.83), perceived benefit(POR=2.11, 95% CI: 1.07-4.17), and perceived barrier(POR=0.29, 95% CI: 0.11-0.76) were significant variables to the intention of participation in a worksite smoking cessation program in the logistic regression analysis. The perceived severity was significantly affected by knowledge about adverse health effects of smoking(POR=2.17, 95% CI: 1.23-3.84). The perceived barrier was significantly affected by education level(POR=3.66, 95% CI: 1.17-11.44), age to first cigarette (POR=0.32, 95% CI: 0.10-0.98), pack-years(POR=5.47, 95% CI: 2.37-12.61). To the Perceived benefit, the model was not fitted. Conclusion: Our results found that counterplans improving the knowledge about adverse health effects of smoking, preventing early smoking, and decreasing smoking amount should be considered for an effective smoking ban policy.

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