Literature DB >> 33791930

A Rebuttal-Based Social Norms-Tailored Cannabis Intervention for At-Risk Adolescents.

Candice D Donaldson1, Eusebio M Alvaro1, Andrea L Ruybal1, Michael Coleman1, Jason T Siegel1, William D Crano2.   

Abstract

Many past cannabis prevention campaigns have proven largely ineffective due in part to the diversity of adolescents' cannabis-relevant beliefs. The current studies evaluated the impact of a sequential multiple message approach tailored to the usage norms of adolescents expressing negative attitudes toward a cannabis prevention appeal. A multiple-message strategy was implemented-initial unfavorable message evaluations were invalidated using attitudinal rebuttal feedback prior to presenting a third tailored communication. Participants were cannabis-abstinent middle and high school students (ages 11 to 16). Study 1 (N = 808) compared effects of gain- and loss-framed messages tailored to each student's normative usage perceptions. In Study 2 (N = 391), students were randomly assigned to receive a tailored or non-tailored message after receiving feedback meant to destabilize anti-message attitudes. For at-risk adolescents in Study 1 who perceived cannabis use as normative, a tailored gain-framed message resulted in the lowest usage intentions (p < .05). In Study 2, a conditional multiple-moderated mediation model showed that for high-risk teens with normative beliefs and pro-cannabis attitudes, exposure to a tailored gain-framed communication was associated with decreased cannabis attitude certainty, and lower usage intentions 2 months later (p < .05). Findings have implications for sequential messaging utilization in mass media campaigns and support the efficacy of tailored messages over a one-size-fits-all media approach. Further, results suggest that systematically weakening resistance to persuasive communications and tailoring messages consistent with individually perceived peer norms is an effective prevention strategy.

Entities:  

Keywords:  Adolescents; Cannabis; Framing; Norms; Prevention; Tailoring

Mesh:

Year:  2021        PMID: 33791930      PMCID: PMC8257086          DOI: 10.1007/s11121-021-01224-9

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  14 in total

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2.  Personalization and perceived personal relevance in computer-tailored persuasion in smoking cessation.

Authors:  Arie Dijkstra; Karien Ballast
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Review 3.  Health message framing effects on attitudes, intentions, and behavior: a meta-analytic review.

Authors:  Kristel M Gallagher; John A Updegraff
Journal:  Ann Behav Med       Date:  2012-02

4.  Effects of the National Youth Anti-Drug Media Campaign on youths.

Authors:  Robert Hornik; Lela Jacobsohn; Robert Orwin; Andrea Piesse; Graham Kalton
Journal:  Am J Public Health       Date:  2008-10-15       Impact factor: 9.308

5.  Nonmedical use of prescription stimulants in college students: Attitudes, intentions, and vested interest.

Authors:  Candice D Donaldson; Jason T Siegel; William D Crano
Journal:  Addict Behav       Date:  2015-10-09       Impact factor: 3.913

6.  Personalized persuasion: tailoring persuasive appeals to recipients' personality traits.

Authors:  Jacob B Hirsh; Sonia K Kang; Galen V Bodenhausen
Journal:  Psychol Sci       Date:  2012-04-30

7.  Efficacy of a web-based, tailored, alcohol prevention/intervention program for college students: initial findings.

Authors:  C Raymond Bingham; Andrea Ippel Barretto; Maureen A Walton; Christopher M Bryant; Jean T Shope; Trivellore E Raghunathan
Journal:  J Am Coll Health       Date:  2010 Jan-Feb

8.  Social mediation of persuasive media in adolescent substance prevention.

Authors:  William D Crano; Eusebio M Alvaro; Cara N Tan; Jason T Siegel
Journal:  Psychol Addict Behav       Date:  2017-03-16

9.  Adolescents' attitudes toward antimarijuana ads, usage intentions, and actual marijuana usage.

Authors:  Eusebio M Alvaro; William D Crano; Jason T Siegel; Zachary Hohman; Ian Johnson; Brandon Nakawaki
Journal:  Psychol Addict Behav       Date:  2013-03-25

Review 10.  How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis.

Authors:  Richard Cooke; Mary Dahdah; Paul Norman; David P French
Journal:  Health Psychol Rev       Date:  2014-09-17
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  1 in total

Review 1.  Application of behavioral economics for understanding health behaviors among adolescents and young adults.

Authors:  Ashley Huynh; Lauren E Wisk
Journal:  Curr Opin Pediatr       Date:  2022-07-05       Impact factor: 2.893

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