Literature DB >> 28255935

Pre-adolescent Receptivity to Tobacco Marketing and Its Relationship to Acquiring Friends Who Smoke and Cigarette Smoking Initiation.

David R Strong1,2, Karen Messer3,4, Sheri J Hartman3,4, Jesse Nodora3,4, Lisa Vera3, Martha M White3, Eric Leas3,4, Nikolas Pharris-Ciurej5, Nicolette Borek5, John P Pierce3,4.   

Abstract

BACKGROUND: This study extends research on receptivity to tobacco marketing over a key developmental period for cigarette smoking experimentation.
PURPOSE: The purpose of this study was to understand the effect of receptivity to tobacco marketing and exposure to friends who smoke on smoking experimentation.
METHODS: Participants were 10 to 13 years old who had never tried cigarettes (n = 878), interviewed six times at 8-month intervals.
RESULTS: At baseline, 25% percent of the 10 and 11 years old in the sample of never smokers were receptive to tobacco marketing, while less than 5% had friends who smoked. Having a friend who smoked at study baseline and acquiring such friends for the first time during the study were the strongest predictors of smoking experimentation. Initial receptivity to tobacco marketing increased the risk of smoking experimentation independently of having friends who smoke at baseline or acquiring friends who smoke throughout the study period.
CONCLUSIONS: The high level of receptivity observed even among 10 and 11 years old and its robust relationship with cigarette smoking experimentation independent of the significant risk associated with having friends who smoke suggests that successful prevention of receptivity may require intervention at an early age.

Entities:  

Keywords:  Depression; Parenting; Receptivity to tobacco marketing; Smoking experimentation; Tobacco advertising

Mesh:

Year:  2017        PMID: 28255935      PMCID: PMC5810372          DOI: 10.1007/s12160-017-9896-y

Source DB:  PubMed          Journal:  Ann Behav Med        ISSN: 0883-6612


  65 in total

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5.  Investigation of Mediational Processes Using Parallel Process Latent Growth Curve Modeling.

Authors:  Jeewon Cheong; David P Mackinnon; Siek Toon Khoo
Journal:  Struct Equ Modeling       Date:  2003-04-01       Impact factor: 6.125

Review 6.  Predictors of the Onset of Cigarette Smoking: A Systematic Review of Longitudinal Population-Based Studies in Youth.

Authors:  Robert J Wellman; Erika N Dugas; Hartley Dutczak; Erin K O'Loughlin; Geetanjali D Datta; Béatrice Lauzon; Jennifer O'Loughlin
Journal:  Am J Prev Med       Date:  2016-05-11       Impact factor: 5.043

7.  Psychological and social risk factors in adolescent smoking transitions: a population-based longitudinal study.

Authors:  Jonathan B Bricker; K Bharat Rajan; Maureen Zalewski; Madelaine Ramey; Arthur V Peterson; M Robyn Andersen
Journal:  Health Psychol       Date:  2009-07       Impact factor: 4.267

8.  Smoking initiation by adolescent girls, 1944 through 1988. An association with targeted advertising.

Authors:  J P Pierce; L Lee; E A Gilpin
Journal:  JAMA       Date:  1994-02-23       Impact factor: 56.272

9.  Parental monitoring and peer influences on adolescent substance use.

Authors:  L Steinberg; A Fletcher; N Darling
Journal:  Pediatrics       Date:  1994-06       Impact factor: 7.124

10.  Interacting effects of genetic predisposition and depression on adolescent smoking progression.

Authors:  Janet Audrain-McGovern; Caryn Lerman; E Paul Wileyto; Daniel Rodriguez; Peter G Shields
Journal:  Am J Psychiatry       Date:  2004-07       Impact factor: 18.112

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  4 in total

1.  Correlates of tobacco product initiation among youth and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016).

Authors:  Karin A Kasza; Kathryn C Edwards; Zhiqun Tang; Cassandra A Stanton; Eva Sharma; Michael J Halenar; Kristie A Taylor; Elisabeth Donaldson; Lynn C Hull; Hannah Day; Maansi Bansal-Travers; Jean Limpert; Izabella Zandberg; Lisa D Gardner; Hoda T Hammad; Nicolette Borek; Heather L Kimmel; Wilson M Compton; Andrew Hyland
Journal:  Tob Control       Date:  2020-05       Impact factor: 7.552

2.  Initiation of any tobacco and five tobacco products across 3 years among youth, young adults and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016).

Authors:  Cassandra A Stanton; Eva Sharma; Elizabeth L Seaman; Karin A Kasza; Kathryn C Edwards; Michael J Halenar; Kristie A Taylor; Hannah Day; Gabriella Anic; Lynn C Hull; Maansi Bansal-Travers; Jean Limpert; Lisa D Gardner; Hoda T Hammad; Nicolette Borek; Heather L Kimmel; Wilson M Compton; Andrew Hyland
Journal:  Tob Control       Date:  2020-05       Impact factor: 7.552

3.  Receptivity to Tobacco Advertising and Susceptibility to Tobacco Products.

Authors:  John P Pierce; James D Sargent; Martha M White; Nicolette Borek; David B Portnoy; Victoria R Green; Annette R Kaufman; Cassandra A Stanton; Maansi Bansal-Travers; David R Strong; Jennifer L Pearson; Blair N Coleman; Eric Leas; Madison L Noble; Dennis R Trinidad; Meghan B Moran; Charles Carusi; Andrew Hyland; Karen Messer
Journal:  Pediatrics       Date:  2017-06       Impact factor: 7.124

4.  Association Between Receptivity to Tobacco Advertising and Progression to Tobacco Use in Youth and Young Adults in the PATH Study.

Authors:  John P Pierce; James D Sargent; David B Portnoy; Martha White; Madison Noble; Sheila Kealey; Nicolette Borek; Charles Carusi; Kelvin Choi; Victoria R Green; Annette R Kaufman; Eric Leas; M Jane Lewis; Katherine A Margolis; Karen Messer; Yuyan Shi; Marushka L Silveira; Kimberly Snyder; Cassandra A Stanton; Susanne E Tanski; Maansi Bansal-Travers; Dennis Trinidad; Andrew Hyland
Journal:  JAMA Pediatr       Date:  2018-05-01       Impact factor: 16.193

  4 in total

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