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

Social Science and Medicine

Volumn 75, Issue 1, 2012, Pages 87-97

  Marti, Joachim ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

Adolescents; Best worst scaling; Preference heterogeneity; Random parameter logit; Risk perception; Smoking; Smoking adverse consequences; Switzerland

Indexed keywords

ADOLESCENCE; HEALTH RISK; RISK PERCEPTION; SMOKING; SURVEY METHOD; TOBACCO;

ADOLESCENT; ADOLESCENT HEALTH; ADOLESCENT SMOKING; ADULT; ARTICLE; BEST WORST SCALING; BODY WEIGHT; CARDIOVASCULAR DISEASE; COST; FEMALE; HEALTH BEHAVIOR; HEALTH HAZARD; HUMAN; LUNG CANCER; MALE; METHODOLOGY; PERSONAL APPEARANCE; PHYSICAL CAPACITY; SEXUAL DYSFUNCTION; SKIN; SWITZERLAND; TOBACCO DEPENDENCE; TOBACCO INDUSTRY; TOOTH;

ADOLESCENT; ADOLESCENT BEHAVIOR; AGE FACTORS; FEMALE; HEALTH EDUCATION; HEALTH POLICY; HEALTH PROMOTION; HEALTH STATUS; HUMANS; MALE; PSYCHOMETRICS; RISK FACTORS; RISK-TAKING; SMOKING; SOCIAL MARKETING; SWITZERLAND; YOUNG ADULT;

SWITZERLAND;

NICOTIANA TABACUM;

EID: 84860672628     PISSN: 02779536     EISSN: 18735347     Source Type: Journal    
DOI: 10.1016/j.socscimed.2012.02.024     Document Type: Article

References (47)

1. Auger P. Using best-worst scaling methodology to investigate consumer ethical beliefs across countries. Journal of Business Ethics 2007, 70:299-326.
2. Baumgartner H., Steenkamp J.-B.E.M. Response styles in marketing research: a cross-national investigation. Journal of Marketing Research 2001, 38:143-156.
3. Cawley J., Markowitz S., Tauras J. Lighting up and slimming down: the effects of body weight and cigarette prices on adolescent smoking initiation. Journal of Health Economics 2004, 23:293-311.
4. Ciecierski C.C., Chatterji P., Chaloupka F.J., Wechsler H. Do state expenditures on tobacco control programs decrease use of tobacco products among college students?. Health Economics 2011, 20:253-272.
5. Cohen E. Applying best-worst scaling to wine marketing. International Journal of Wine Business Research 2009, 21:8-23.
6. Davis K.C., Farrelly M.C., Messeri P., Duke J. The impact of national smoking prevention campaigns on tobacco-related beliefs, intentions to smoke and smoking initiation: results from a longitudinal survey of youth in the United States. International Journal of Environmental Research and Public Health 2009, 6:722-740.
7. DeCicca P., Kenkel D., Mathios A. Putting out the fires: will higher taxes reduce the onset of youth smoking?. Journal of Political Economy 2002, 110:144-169.
8. DeCicca P., Kenkel D., Mathios A. Cigarette taxes and the transition from youth to adult smoking: smoking initiation, cessation, and participation. Journal of Health Economics 2008, 27:904-917.
9. Douglas S. The duration of the smoking habit. Economic Inquiry 1998, 36:49-64.
10. Farrelly M.C., Davis K.C., Duke J., Messeri P. Sustaining 'truth': changes in youth tobacco attitudes and smoking intentions after 3 years of a national antismoking campaign. Health Education Research 2008, 24:42-48.
11. Farrelly M.C., Niederdeppe J., Yarsevich J. Youth smoking prevention mass media campaigns: past, present, and future directions. Tobacco Control 2003, 12(Suppl. I):i35-i37.
12. ® campaign on smoking initiation. American Journal of Preventive Medicine 2009, 36:379-384.
13. Fichtenberg C.M., Glantz S.A. Youth access interventions do not affect youth smoking. Pediatrics 2002, 109:1088-1092.
14. Finn A., Louviere J.J. Determining the appropriate response to evidence of public concern: the case of food safety. Journal of Public Policy and Marketing 1992, 11:12-25.
15. Fletcher J.M., Deb P., Sindelar J.L. Tobacco use, taxation and self-control in adolescence 2009, Working Paper w15130, National Bureau of Economic Research, Cambridge.
16. Flynn T.N. Valuing citizen and patient preference in health: recent developments in three types of best-worst scaling. Expert Review of Pharmacoeconomics & Outcomes Research 2010, 10:259-267.
17. Flynn T.N., Louviere J.J., Peters T.J., Coast J. Best-worst scaling: what it can do for health care research and how to do it. Journal of Health Economics 2007, 26:171-189.
18. Flynn T.N., Louviere J.J., Peters T.J., Coast J. Estimating preferences for a dermatology consultation using best-worst scaling: comparison of various methods of analysis. BMC Medical Research Methodology 2008, 8:76.
19. Flynn T.N., Louviere J.J., Peters T.J., Coast J. Using discrete choice experiments to understand preferences for quality of life. Variance-scale heterogeneity matters. Social Science & Medicine 2010, 70:1957-1965.
20. Goldman L.K., Glantz S.A. Evaluation of antismoking advertising campaigns. Journal of the American Medical Association 1998, 279:772-777.
21. Heikkinen H., Patja K., Jallinoja P. Smokers' accounts on the health risks of smoking: why is smoking not dangerous for me?. Social Science & Medicine 2010, 71:877-883.
22. Jaeger S.R., Jorgensen A.S., Aaslyng M.D., Bredie W.L.P. Best-worst scaling: an introduction and initial comparison with monadic rating for preference elicitation with food products. Food Quality and Preference 2008, 19:579-588.
23. Jeanrenaud C., Fueglister-Dousse S., Kohler D., Marti J. Retour sur investissement des mesures de prévention - Tabagisme et abus d'alcool. Neuchâtel 2010, Institute for Research in Economics, University of Neuchâtel.
24. Lee J.A., Soutar G., Louviere J.J. Measuring values using best-worst scaling: the LOV example. Psychology & Marketing 2007, 24:1043-1058.
25. López Nicolás A. How important are tobacco prices in the propensity to start and quit smoking? An analysis of smoking histories from the Spanish National Health Survey. Health Economics 2002, 11:521-535.
26. Louviere J.J., Flynn T.N. Using best-worst scaling choice experiments to measure public perceptions and preferences for healthcare reform in Australia. The Patient: Patient-Centered Outcomes Research 2010, 3:275-283.
27. Louviere J.J., Islam T. A comparison of importance weights and willingness-to-pay measures derived from a choice-based conjoint, constant sum scales and best-worst scaling. Journal of Business Research 2008, 61:903-911.
28. Lusk J.L., Briggeman B.C. Food values. American Journal of Agricultural Economics 2009, 91:184-196.
29. Marley A.A.J., Louviere J.J. Some probabilistic models of best, worst and best-worst choices. Journal of Mathematical Psychology 2005, 49:464-480.
30. Mueller S., Rungie C. Is there more information in best-worst choice data?. International Journal of Wine Business Research 2009, 21:24-40.
31. Pechmann C., Reibling E.T. Antismoking advertising campaigns targeting youth: case studies from USA and Canada. Tobacco Control 2000, 9(Suppl. II):ii18-ii31.
32. Potoglou D., Burge P., Flynn T.N., Netten A., Malley J., Forder J., et al. Best-worst scaling vs. discrete choice experiments: an empirical comparison using social care data. Social Science & Medicine 2011, 10.1016/j.socscimed.2011.03.027.
33. Radtke T., Keller R., Krebs H., Hornung R. Der Tabakkonsum Jugendlicher und junger Erwachsener in den Jahren 2001 bis 2007/08. Tabakmonitoring - Schweizerische Umfrage zum Tabakkonsum 2008, Department of Psychology - Social and Health Psychology, University of Zurich, Zurich.
34. Scarpa R., Notaro S., Louviere J., Raffaelli R. Exploring scale effects of best/worst rank ordered choice data to estimate benefits of tourism in alpine grazing commons. American Journal of Agricultural Economics 2011, 93:813-828.
35. Schnohr C.W., Kreiner S., Rasmussen M., Due P., Curie C., Diderichsen F. The role of national policies intended to regulate adolescent smoking in explaining the prevalence of daily smoking: a study of adolescents from 27 European countries. Addiction 2008, 103:824-831.
36. Sen A., Wirjanto T. Estimating the impacts of cigarette taxes on youth smoking participation, initiation, and persistence: empirical evidence from Canada. Health Economics 2010, 19:1264-1280.
37. Sloane N.J.A. A library of orthogonal arrays 2010, Accessed in February 2010. http://www2.research.att.com/%7Enjas/oadir/.
38. Slovic P. Do adolescent smokers know the risks?. Duke Law Journal 1998, 47:1133-1141.
39. Song A.V., Morrell H.E.R., Cornell J.L., Ramos M.E., Biehl M., Kropp R.Y., et al. Perceptions of smoking-related risks and benefits as predictors of adolescent smoking initiation. American Journal of Public Health 2009, 99:487-492.
40. Street A.P., Street D.J. Combinatorics of experimental design 1987, Clarendon Press, Oxford.
41. Swancutt D.R., Greenfield S.M., Wilson S. Women's coloscopy experience and preferences: a mixed methods study. BMC Women's Health 2008, 8:2.
42. Tauras J.A. Public policy and smoking cessation among young adults in the United States. Health Policy 2004, 68:321-332.
43. Tauras J.A., O'Malley P.M., Johnston L.D. Effects of price and access laws on teenage smoking initiation: A national longitudinal analysis 2001, Working Paper No. 8331, National Bureau of Economic Research, Cambridge.
44. Teenage Research Unlimited Youth focus groups to assess tobacco-use-prevention ads 1999, Teenage Research Unlimited, North Brook.
45. ® campaign. Tobacco Control 2004, 13:283-288.
46. Train K.E. Discrete choice methods with simulation 2003, Cambridge University Press, Cambridge.
47. Viscusi W.K. Do smokers underestimate risks?. Journal of Political Economy 1990, 98:1253-1268.