Literature DB >> 21885672

Evaluation of smoking prevention television messages based on the elaboration likelihood model.

Brian S Flynn1, John K Worden, Janice Yanushka Bunn, Scott W Connolly, Anne L Dorwaldt.   

Abstract

Progress in reducing youth smoking may depend on developing improved methods to communicate with higher risk youth. This study explored the potential of smoking prevention messages based on the Elaboration Likelihood Model (ELM) to address these needs. Structured evaluations of 12 smoking prevention messages based on three strategies derived from the ELM were conducted in classroom settings among a diverse sample of non-smoking middle school students in three states (n = 1771). Students categorized as likely to have higher involvement in a decision to initiate cigarette smoking reported relatively high ratings on a cognitive processing indicator for messages focused on factual arguments about negative consequences of smoking than for messages with fewer or no direct arguments. Message appeal ratings did not show greater preference for this message type among higher involved versus lower involved students. Ratings from students reporting lower academic achievement suggested difficulty processing factual information presented in these messages. The ELM may provide a useful strategy for reaching adolescents at risk for smoking initiation, but particular attention should be focused on lower academic achievers to ensure that messages are appropriate for them. This approach should be explored further before similar strategies could be recommended for large-scale implementation.

Mesh:

Year:  2011        PMID: 21885672      PMCID: PMC3219883          DOI: 10.1093/her/cyr082

Source DB:  PubMed          Journal:  Health Educ Res        ISSN: 0268-1153


  13 in total

Review 1.  Recommendations regarding interventions to reduce tobacco use and exposure to environmental tobacco smoke.

Authors: 
Journal:  Am J Prev Med       Date:  2001-02       Impact factor: 5.043

Review 2.  Youth tobacco prevention mass media campaigns: past, present, and future directions.

Authors:  M C Farrelly; J Niederdeppe; J Yarsevich
Journal:  Tob Control       Date:  2003-06       Impact factor: 7.552

Review 3.  Role of the media in influencing trajectories of youth smoking.

Authors:  Melanie Wakefield; Brian Flay; Mark Nichter; Gary Giovino
Journal:  Addiction       Date:  2003-05       Impact factor: 6.526

Review 4.  Effects of anti-smoking advertising on youth smoking: a review.

Authors:  Melanie Wakefield; Brian Flay; Mark Nichter; Gary Giovino
Journal:  J Health Commun       Date:  2003 May-Jun

5.  The impact of emotional tone, message, and broadcast parameters in youth anti-smoking advertisements.

Authors:  Lois Biener; Ming Ji; Elizabeth A Gilpin; Alison B Albers
Journal:  J Health Commun       Date:  2004 May-Jun

6.  Potentially modifiable psychosocial factors associated with alcohol use during early adolescence.

Authors:  Peter W Callas; Brian S Flynn; John K Worden
Journal:  Addict Behav       Date:  2004-11       Impact factor: 3.913

7.  Evidence of a dose-response relationship between "truth" antismoking ads and youth smoking prevalence.

Authors:  Matthew C Farrelly; Kevin C Davis; M Lyndon Haviland; Peter Messeri; Cheryl G Healton
Journal:  Am J Public Health       Date:  2005-03       Impact factor: 9.308

8.  Mass media and community interventions to reduce alcohol use by early adolescents.

Authors:  Brian S Flynn; John K Worden; Janice Yanushka Bunn; Anne L Dorwaldt; Greg S Dana; Peter W Callas
Journal:  J Stud Alcohol       Date:  2006-01

9.  Long-term responses of higher and lower risk youths to smoking prevention interventions.

Authors:  B S Flynn; J K Worden; R H Secker-Walker; P L Pirie; G J Badger; J H Carpenter
Journal:  Prev Med       Date:  1997 May-Jun       Impact factor: 4.018

10.  Tobacco use among middle and high school students --- United States, 2000-2009.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2010-08-27       Impact factor: 17.586

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  6 in total

1.  Influenza vaccination acceptance among diverse pregnant women and its impact on infant immunization.

Authors:  Paula M Frew; Siyu Zhang; Diane S Saint-Victor; Ashley C Schade; Samantha Benedict; Maral Banan; Xiang Ren; Saad B Omer
Journal:  Hum Vaccin Immunother       Date:  2013-10-30       Impact factor: 3.452

2.  A randomized trial of maternal influenza immunization decision-making: A test of persuasive messaging models.

Authors:  Paula M Frew; Jennifer L Kriss; Allison T Chamberlain; Fauzia Malik; Yunmi Chung; Marielysse Cortés; Saad B Omer
Journal:  Hum Vaccin Immunother       Date:  2016-08-02       Impact factor: 3.452

3.  Explaining the Education-Health Gradient in Preventing STIs in Andean Peru: Cognitive Executive Functioning, Awareness and Health Knowledge.

Authors:  Ismael G Muñoz; David P Baker; Ellen Peters
Journal:  Int Perspect Sex Reprod Health       Date:  2020-07-09

4.  Towards collaborative filtering recommender systems for tailored health communications.

Authors:  Benjamin M Marlin; Roy J Adams; Rajani Sadasivam; Thomas K Houston
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

5.  Assessing the Impact of Conflicting Health Warning Information on Intentions to Use E-Cigarettes -An Application of the Heuristic-Systematic Model.

Authors:  Sherri Jean Katz; Meghan Erkkinen; Bruce Lindgren; Dorothy Hatsukami
Journal:  J Health Commun       Date:  2018-10-25

6.  Perceived Effectiveness of Differing Health Warning Label Messaging Strategies among Adults in the Republic of Georgia: One Size Does Not Fit All.

Authors:  Cailyn Lingwall; Eric Nehl; Marina Topuridze; Lela Sturua; Nuka Maglakelidze; Carla J Berg
Journal:  Int J Environ Res Public Health       Date:  2018-10-11       Impact factor: 3.390

  6 in total

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