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SimSmoke model evaluation of the effect of tobacco control policies in Korea: The unknown success story

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  • Levy, D.T.
  • Cho, S.-I.
  • Kim, Y.-M.
  • Park, S.
  • Suh, M.-K.
  • Kam, S.

Abstract

Objectives. We evaluated the effect of strict tobacco control policies, implemented beginning in 1995 in the Republic of Korea, on smoking prevalence and deaths. Methods. SimSmoke is a simulation model of the effect of tobacco control policies over time on smoking initiation and cessation. It uses standard attribution methods to estimate lives saved as a result of new policies. After validating the model against smoking prevalence, we used it to determine the Korean policies' effect on smoking prevalence. Results. The model predicted smoking prevalence accurately between 1995 and 2006. We estimated that 70% of the 24% relative reduction In smoking rates over that period was attributable to tobacco control policies, mainly tax increases and a strong media campaign, and that the policies will prolong 104812 male lives by the year 2027. Conclusions. Our results document Korea's success in reducing smoking prevalence and prolonging lives, which may serve as an example for other Asian nations. Further improvements may be possible with higher taxes and more comprehensive smoke-free laws, cessation policies, advertising restrictions, and health warnings.

Suggested Citation

  • Levy, D.T. & Cho, S.-I. & Kim, Y.-M. & Park, S. & Suh, M.-K. & Kam, S., 2010. "SimSmoke model evaluation of the effect of tobacco control policies in Korea: The unknown success story," American Journal of Public Health, American Public Health Association, vol. 100(7), pages 1267-1273.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2009.166900_6
    DOI: 10.2105/AJPH.2009.166900
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    Cited by:

    1. Walton, Mat, 2014. "Applying complexity theory: A review to inform evaluation design," Evaluation and Program Planning, Elsevier, vol. 45(C), pages 119-126.
    2. David T. Levy & Luz María Sánchez-Romero & Nargiz Travis & Zhe Yuan & Yameng Li & Sarah Skolnick & Jihyoun Jeon & Jamie Tam & Rafael Meza, 2021. "US Nicotine Vaping Product SimSmoke Simulation Model: The Effect of Vaping and Tobacco Control Policies on Smoking Prevalence and Smoking-Attributable Deaths," IJERPH, MDPI, vol. 18(9), pages 1-22, May.
    3. Byung Lyul Woo & Min Kyung Lim & Eun Young Park & Jinhyeon Park & Hyeonsu Ryu & Dayoung Jung & Marcus J. Ramirez & Wonho Yang, 2020. "Characteristics of Non-Smokers’ Exposure Using Indirect Smoking Indicators and Time Activity Patterns," Sustainability, MDPI, vol. 12(21), pages 1-14, November.
    4. Michael Chaiton & Jolene Dubray & G. Emmanuel Guindon & Robert Schwartz, 2021. "Tobacco Endgame Simulation Modelling: Assessing the Impact of Policy Changes on Smoking Prevalence in 2035," Forecasting, MDPI, vol. 3(2), pages 1-9, April.

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