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A best–worst scaling survey of adolescents' level of concern for health and non-health consequences of smoking

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  • Marti, Joachim

Abstract

This paper uses best–worst scaling, a choice-based survey method, to assess adolescents' level of concern for various adverse consequences of tobacco use. In addition to health risks cited most often (i.e., lung cancer and cardiovascular diseases), the study also focuses on less frequently mentioned health implications (e.g., effects on teeth, appearance, skin, weight and sexual dysfunction) and other adverse effects that are unrelated to health, such as cost, addiction, or manipulation by the tobacco industry. The relative importance of 15 items was assessed in a sample of 376 adolescents (ages 14–19 years) in Western Switzerland. The resulting data provide rich information on the relative importance of the items considered and even allow for the assessment of individual-level preference scales. The results indicate that apart from lung cancer that is consistently rated as being of most concern, less-mentioned health risks such as reduced physical capacity and sexual dysfunction are of significant importance. Subgroup analyses and results from a random parameter approach highlight substantial heterogeneity in preferences that should be exploited in future prevention messages.

Suggested Citation

  • Marti, Joachim, 2012. "A best–worst scaling survey of adolescents' level of concern for health and non-health consequences of smoking," Social Science & Medicine, Elsevier, vol. 75(1), pages 87-97.
  • Handle: RePEc:eee:socmed:v:75:y:2012:i:1:p:87-97
    DOI: 10.1016/j.socscimed.2012.02.024
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    References listed on IDEAS

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    Cited by:

    1. Yoo, Hong Il & Doiron, Denise, 2013. "The use of alternative preference elicitation methods in complex discrete choice experiments," Journal of Health Economics, Elsevier, vol. 32(6), pages 1166-1179.
    2. Axel C. Mühlbacher & Anika Kaczynski & Peter Zweifel & F. Reed Johnson, 2016. "Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview," Health Economics Review, Springer, vol. 6(1), pages 1-14, December.
    3. Kei Long Cheung & Ben F. M. Wijnen & Ilene L. Hollin & Ellen M. Janssen & John F. Bridges & Silvia M. A. A. Evers & Mickael Hiligsmann, 2016. "Using Best–Worst Scaling to Investigate Preferences in Health Care," PharmacoEconomics, Springer, vol. 34(12), pages 1195-1209, December.
    4. Axel Mühlbacher & Anika Kaczynski & Peter Zweifel & F. Johnson, 2015. "Experimental measurement of preferences in health and healthcare using best-worst scaling: an overview," Health Economics Review, Springer, vol. 6(1), pages 1-14, December.
    5. Davis, Katrina J & Burton, Michael & Kragt, Marit E, 2016. "Discrete choice models: scale heterogeneity and why it matters," Working Papers 235373, University of Western Australia, School of Agricultural and Resource Economics.
    6. repec:spr:eujhec:v:18:y:2017:i:9:d:10.1007_s10198-016-0856-4 is not listed on IDEAS
    7. Marti, Joachim & Buckell, John & Maclean, J. Catherine & Sindelar, Jody L., 2017. "To 'Vape' or Smoke? A Discrete Choice Experiment among Adult Smokers," IZA Discussion Papers 10490, Institute for the Study of Labor (IZA).
    8. repec:kap:enreec:v:67:y:2017:i:4:d:10.1007_s10640-015-9992-z is not listed on IDEAS
    9. Axel C. Mühlbacher & Peter Zweifel & Anika Kaczynski & F. Reed Johnson, 2016. "Experimental measurement of preferences in health care using best-worst scaling (BWS): theoretical and statistical issues," Health Economics Review, Springer, vol. 6(1), pages 1-12, December.
    10. Richard Abreu Lourenco & Marion Haas & Jane Hall & Rosalie Viney, 2017. "Valuing Meta-Health Effects for Use in Economic Evaluations to Inform Reimbursement Decisions: A Review of the Evidence," PharmacoEconomics, Springer, vol. 35(3), pages 347-362, March.
    11. Balcombe, Paul & Rigby, Dan & Azapagic, Adisa, 2014. "Investigating the importance of motivations and barriers related to microgeneration uptake in the UK," Applied Energy, Elsevier, vol. 130(C), pages 403-418.

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