Analysis of Factors Associated to Smoking Cessation Plan Among Adult Smokers

  • Jong Seol Lee
  • Keun Ho RyuEmail author
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 157)


According to the World Health Organization (WHO), smoking has generated a lot of diseases, and tobacco has been the biggest threat to human beings. The Republic of Korea government has implemented a policy to reduce damage from smoking since 1986. But almost 1 out of 5 Koreans still smoked in 2017 (21.2%). In this research, we collected datasets from the Korea Health and Nutrition Examination Survey (KNHANES) from 2013 to 2015 and used statistical methods to analyze the smoking patterns of smokers among adults. We used the chi-square test for 28 independent variables based on the before and after preparation of the dependent variables and evaluated the result based on the significance level getting from the statistical analysis program SPSS. In our result, the gender distribution was found to be 2,407 (84.4%) for males and 444 (15.6%) for females. The age range was 46.36 ± 15.13 and the range was from 31 to 61 years. There were more single smokers than married smokers, and the results were significant in this study. Rather, it was reported that anti-smoking policy at home was not relevant, and anti-smoking policy public places were statistically significant (p = 0.007). The results of this study suggest that many smokers should make a decision to quit smoking by providing a negative aspect of smoking as a significant factor related to the preparation stage of smoking cessation.


Smoking cessation Adult smokers KNHANES Cross-analysis Chi-square 



This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2017R1A2B4010826), supported by the KIAT (Korea Institute for Advancement of Technology) grant funded by the Korea Government (MOTIE: Ministry of Trade Industry and Energy) (No. N0002429).


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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Department of Smart FactoryChungbuk National UniversityCheongjuSouth Korea
  2. 2.Faculty of Information TechnologyTon Duc Thang UniversityHo Chi Minh CityVietnam
  3. 3.Department of Computer Science, College of Electrical and Computer EngineeringChungbuk National UniversityCheongjuSouth Korea

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