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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)

Abstract

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.

Keywords

Smoking cessation Adult smokers KNHANES Cross-analysis Chi-square 

Notes

Acknowledgements

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).

References

  1. 1.
    Choi, H.S., Sohn, H.S., Kim, Y.H., Lee, M.J.: Factors associated with failure in the continuity of smoking cessation among 6 month’s smoking cessation successes in the smoking cessation clinic of public health center. J. Korea Acad. Ind. Coop. Soc. 13(10), 4653–4659 (2012)Google Scholar
  2. 2.
    Kim, D.H., Suh, Y.S.: Smoking as a disease. Korean J. Fam. Med. 30(7), 494–502 (2009)CrossRefGoogle Scholar
  3. 3.
    Kim, E.S.: Smoking high risk group woman, out-of-school youth research on development of smoking cessation service strategy results report (2016)Google Scholar
  4. 4.
    National Prevention, Health Promotion and Public Health Council. In: 2010 Annual Status Report. http://www.hhs.gov/news/reports/nationalprevention2010report.pdf. Accessed July 2010
  5. 5.
    Ministry of Health & Welfare. Yearbook of Health and Welfare Statistics (2001). http://www.moha.go.kr
  6. 6.
    Kim, H.O.: The effect of smoking cessation program on smoking cessation and smoking behavior change of adult smokers. Commun. Nurs. 13(1) (2002)Google Scholar
  7. 7.
    Korea Centers for Disease Control and Prevention. Korea National Health and Nutrition Examination Survey Data. Korea National Health and Nutrition Examination Survey, 1 Mar 2015Google Scholar
  8. 8.
    Leem, A.Y., Han, C.H., Ahn, C.M., Lee, S.H., Kim, J.Y., Chun, E.M.: Factors associated with stage of change in smoker in relation to smoking cessation based on the Korean National Health and Nutrition Examination Survey II–V. PLoS One 12(5), e0176294 (2017)CrossRefGoogle Scholar
  9. 9.
    Dash, M., Liu, H.: Feature selection for classification. Intell. Data Anal. 1(1–4), 131–156 (1997)CrossRefGoogle Scholar
  10. 10.
    Guyon, I., Elisseeff, A.: An introduction to variable and feature selection. J. Mach. Learn. Res. 3(Mar), 1157–1182 (2003)Google Scholar

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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