Youth Audience Segmentation Strategies for Smoking-Prevention Mass Media Campaigns Based on Message Appeal

Abstract

Mass media interventions are among the strategies recommended for youth cigarette smoking prevention, but little is known about optimal methods for reaching diverse youth audiences. Grades 4 through 12 samples of youth from four states (n = 1,230) rated smoking-prevention messages in classroom settings. Similar proportions of African American, Hispanic, and White youth participated. Impact of audience characteristics on message appeal ratings was assessed to provide guidance for audience segmentation strategies. Age had a strong effect on individual message appeal. The effect of gender also was significant. Message ratings were similar among the younger racial/ethnic groups, but differences were found for older African American youth. Lower academic achievement was associated with lower appeal scores for some messages. Age should be a primary consideration in developing and delivering smoking-prevention messages to youth audiences. The unique needs of boys and girls and older African American adolescents should also be considered.

Keywords

smoking tobacco adolescent behavior mass media segmentation intervention studies

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References

Appiah, O. (2001). Black, White, Hispanic, and Asian American adolescents' responses to culturally embedded ads. The Howard Journal of Communications, 12(1), 29-48.

Austin, E. (1995). Reaching young audiences: Developmental considerations in designing health messages. In E. Maibach & R. L. Parrot (Eds.), Designing health messages (pp. 114-141). Thousand Oaks, CA: Sage.

Austin, S.B. , & Gortmaker, S.L. (2001). Dieting and smoking initiation in early adolescent girls and boys: A prospective study. American Journal of Public Health, 91(3), 446-450.

Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavior change. Psychological Review, 84(2), 191-215.

Baranowski, T. , Perry, C.L. , & Parcel, G.S. (1997). How individuals, environments, and health behavior interact: Social cognitive theory. In K. Glanz , F. M. Lewis , & B. K. Rimer (Eds.), Health behavior and health education—theory, research, and practice (2nd ed., pp. 153-178). San Francisco: Jossey-Bass.

Batra, R. , & Ray, M.L. (1986). Affective responses mediating acceptance of advertising . Journal of Consumer Research, 13, 234-249.

Biel, A.L. , & Bridgewater, C.A. (1990). Attributes of likable television commercials. Journal of Advertising Research, 30(3), 38-44.

Blum, R.W. , Beuhring, T. , Shew, M.L. , Bearinger, L.H. , Sieving, R.E. , & Resnick, M.D. (2000). The effects of race/ethnicity, income, and family structure on adolescent risk behaviors. American Journal of Public Health, 90(12), 1879-1884.

Centers for Disease Control and Prevention (CDC). (1999). Best practices for comprehensive tobacco control programs. Atlanta, GA: U.S. Department of Health and Human Services (USDHHS), CDC, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.

10.

Choi, W.S. , Pierce, J.P. , Gilpin, E.A. , Farkas, A.J. , & Berry, C.C. (1997). Which adolescent experimenters progress to established smoking in the United States? American Journal of Preventive Medicine, 13(5), 385-391.

11.

Deshpande, R. , & Stayman, D.M. (1994). A tale of two cities: Distinctiveness theory and advertising effectiveness. Journal of Marketing Research, 31, 57-64.

12.

Flynn, B.S. , Worden, J.K. , Secker-Walker, R.H. , Badger, G.J. , & Geller, B.M. (1995). Cigarette smoking prevention effects of mass media and school interventions targeted to gender and age groups. Journal of Health Education, 26(2, Suppl.), 45-51.

13.

Flynn, B.S. , Worden, J.K. , Secker-Walker, R.H. , Pirie, P.L. , Badger, G.J. , & Carpenter, J.H. (1997). Long-term responses of higher and lower risk youths to smoking prevention interventions. Preventive Medicine, 26(3), 389-394.

14.

Flynn, B.S. , Worden, J.K. , Secker-Walker, R.H. , Pirie, P.L. , Badger, G.J. , Carpenter, J.H. , et al. (1994). Mass media and school interventions for cigarette smoking prevention: Effects two years after completion. American Journal of Public Health, 84(7), 1148-1150.

15.

Greene, K. , Kremar, M. , Rubin, D.L. , Walters, L.H. , & Hale, J.L. (2002). Elaboration in processing adolescent health messages: The impact of egocentrism and sensation seeking on message processing. Journal of Communication, 52, 812-831.

16.

Greene, W.F. (1992). Observations: What drives commercial liking? Journal of Advertising Research, 32(2), 65-68.

17.

Grunig, J.E. (1989). Publics, audiences, and market segments: Segmentation principles for campaigns. In C. T. Salmon (Ed.), Information campaigns: Balancing social values and social change (pp. 199-228). Newbury Park, CA: Sage.

18.

Jeynes, W.H. (2002). The relationship between the consumption of various drugs by adolescents and their academic achievement. American Journal of Drug and Alcohol Abuse, 28(1), 15-35.

19.

MacKenzie, S.B. , Lutz, R.J. , & Belch, G.E. (1986). The role of attitude toward the ad as a mediator of advertising effectiveness: a test of competing explanations. Journal of Marketing Research, 23, 130-143.

20.

Maibach, E.W. , Maxfield, A. , Ladin, K. , & Slater, M. (1996). Translating health psychology into effective health communication: The American Healthstyles Audience Segmentation Project. Journal of Health Psychology, 1(3), 261-277.

21.

Newman, B.M. , & Newman, P.R. (1986). Adolescent development. Columbus, OH: Merrill.

22.

Ramirez, A.G. , Gallion, K.J. , Espinoza, R. , McAlister, A. , & Chalela, P. (1997). Developing a media and school-based program for substance abuse prevention among Hispanic youth: A case study of Mirame!/Look At Me! Health Education & Behavior, 24(5), 603-612.

23.

Rust, R.T. , Kamakura, W.A. , & Alpert, M.I. (1992). Viewer preference segmentation and viewing choice models for network television. Journal of Advertising, 21(1), 1-18.

24.

SAS Institute Inc. (2000). SAS System for Windows (8.1 ed.). Cary, NC: Author.

25.

Slater, M.D. (1995). Choosing audience segmentation strategies and methods for health communication. In E. Maibach & R. L. Parrot (Eds.), Designing health messages: Approaches from communication theory and public health practice (pp. 186-198). Thousand Oaks, CA: Sage.

26.

Steinberg, L.D. (1999). Adolescence (5th ed.). Boston: McGraw-Hill.

27.

Swinehart, J.W. (1997). Health behavior research and communication campaigns . In D. S. Gochman (Ed.), Handbook of health behavior research, Vol. 4: Relevance for professionals and issues for the future (pp. 351-373). New York: Plenum.

28.

Task Force on Community Preventive Services. ( 2001). Recommendations regarding interventions to reduce tobacco use and exposure to environmental tobacco smoke. American Journal of Preventive Medicine, 20(2S), 10-15.

29.

Unger, J.B. , Palmer, P.H. , Dent, C.W. , Rohrbach, L.A. , & Johnson, C.A. (2000). Ethnic differences in adolescent smoking prevalence in California: Are multi-ethnic youth at higher risk? Tobacco Control, 9(Suppl. 2), ii9-ii14.

30.

U.S. Department of Health and Human Services (USDHHS). (2000). Reducing tobacco use: A report of the Surgeon General. Atlanta, GA: USDHHS, CDC, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health.

31.

Weinstein, A. (1994). Market Segmentation (2nd ed.). Chicago: Probus.

32.

Worden, J.K. , Flynn, B.S. , Solomon, L.J. , Secker-Walker, R.H. , Badger, G.J. , & Carpenter, J.H. (1996). Using mass media to prevent cigarette smoking among adolescent girls. Health Education Quarterly, 23(4), 453-468.

33.

Wright, J.C. , Huston, A.C. , Vandewater, E.A. , Bickham, D.S. , Scantlin, R.M. , Kotler, J.A. , et al. (2001). American children's use of electronic media in 1997: A national survey. Journal of Applied Developmental Psychology, 22(1), 31-47.