Literature DB >> 19573553

Do risk-minimizing beliefs about smoking inhibit quitting? Findings from the International Tobacco Control (ITC) Four-Country Survey.

Ron Borland1, Hua-Hie Yong, James Balmford, Geoffrey T Fong, Mark P Zanna, Gerard Hastings.   

Abstract

OBJECTIVE: To replicate findings that risk-minimizing and self-exempting beliefs lower quit intentions, and to extend this by testing their capacity to prospectively predict smoking cessation.
METHOD: 13,324 adult (> or =18 years) cigarette smokers from the USA, Canada, UK, and Australia from one of the first three waves (2002-2004) of the International Tobacco Control 4-Country survey were employed for the predictive analysis where beliefs measured in one wave (1-3) of a cohort were used to predict cessation outcomes in the next wave (2-4).
RESULTS: Both types of belief were negatively associated with both intention to quit in the same wave and making a quit attempt at the next wave. When taken together and controlling for demographic factors, the risk-minimizing beliefs continued to be predictive, but the self-exempting belief was not. Some of the effects of risk-minimizing beliefs on quit attempts seem to be independent of intentions, but not consistently independent of other known predictors. There were no consistent predictive effects on sustained cessation among those who made attempts to quit for either measure.
CONCLUSIONS: Countering risk-minimizing beliefs may facilitate increased quitting, but this may not be so important for self-exempting beliefs.

Entities:  

Mesh:

Year:  2009        PMID: 19573553      PMCID: PMC2766611          DOI: 10.1016/j.ypmed.2009.06.015

Source DB:  PubMed          Journal:  Prev Med        ISSN: 0091-7435            Impact factor:   4.018


  14 in total

1.  Smoking cessation and smoking patterns in the general population: a 1-year follow-up.

Authors:  R West; A McEwen; K Bolling; L Owen
Journal:  Addiction       Date:  2001-06       Impact factor: 6.526

2.  "Bulletproof skeptics in life's jungle": which self-exempting beliefs about smoking most predict lack of progression towards quitting?

Authors:  Wendy Oakes; Simon Chapman; Ron Borland; James Balmford; Lisa Trotter
Journal:  Prev Med       Date:  2004-10       Impact factor: 4.018

3.  The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change.

Authors:  C C DiClemente; J O Prochaska; S K Fairhurst; W F Velicer; M M Velasquez; J S Rossi
Journal:  J Consult Clin Psychol       Date:  1991-04

Review 4.  Methods of the International Tobacco Control (ITC) Four Country Survey.

Authors:  M E Thompson; G T Fong; D Hammond; C Boudreau; P Driezen; A Hyland; R Borland; K M Cummings; G B Hastings; M Siahpush; A M Mackintosh; F L Laux
Journal:  Tob Control       Date:  2006-06       Impact factor: 7.552

5.  The near-universal experience of regret among smokers in four countries: findings from the International Tobacco Control Policy Evaluation Survey.

Authors:  Geoffrey T Fong; David Hammond; Fritz L Laux; Mark P Zanna; K Michael Cummings; Ron Borland; Hana Ross
Journal:  Nicotine Tob Res       Date:  2004-12       Impact factor: 4.244

6.  Predicting attempts and sustained cessation of smoking after the introduction of workplace smoking bans.

Authors:  R Borland; N Owen; D Hill; P Schofield
Journal:  Health Psychol       Date:  1991       Impact factor: 4.267

7.  Functional beliefs about smoking and quitting activity among adult smokers in four countries: findings from the International Tobacco Control Four-Country Survey.

Authors:  Hua-Hie Yong; Ron Borland
Journal:  Health Psychol       Date:  2008-05       Impact factor: 4.267

Review 8.  The precaution adoption process.

Authors:  N D Weinstein
Journal:  Health Psychol       Date:  1988       Impact factor: 4.267

9.  Stages of change and decisional balance for 12 problem behaviors.

Authors:  J O Prochaska; W F Velicer; J S Rossi; M G Goldstein; B H Marcus; W Rakowski; C Fiore; L L Harlow; C A Redding; D Rosenbloom
Journal:  Health Psychol       Date:  1994-01       Impact factor: 4.267

10.  Decisional balance measure for assessing and predicting smoking status.

Authors:  W F Velicer; C C DiClemente; J O Prochaska; N Brandenburg
Journal:  J Pers Soc Psychol       Date:  1985-05
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  17 in total

1.  Smokers and non-smokers differ in their beliefs about their addiction: public health implications.

Authors:  John Alastair Cunningham
Journal:  Can J Public Health       Date:  2012 Mar-Apr

2.  Patterns of cognitive dissonance-reducing beliefs among smokers: a longitudinal analysis from the International Tobacco Control (ITC) Four Country Survey.

Authors:  Omid Fotuhi; Geoffrey T Fong; Mark P Zanna; Ron Borland; Hua-Hie Yong; K Michael Cummings
Journal:  Tob Control       Date:  2012-01-03       Impact factor: 7.552

3.  Path analysis of warning label effects on negative emotions and quit attempts: A longitudinal study of smokers in Australia, Canada, Mexico, and the US.

Authors:  Yoo Jin Cho; James F Thrasher; Hua-Hie Yong; André Salem Szklo; Richard J O'Connor; Maansi Bansal-Travers; David Hammond; Geoffrey T Fong; James Hardin; Ron Borland
Journal:  Soc Sci Med       Date:  2017-10-30       Impact factor: 4.634

4.  Beliefs, experience, and interest in pharmacotherapy among smokers with HIV.

Authors:  Amy McQueen; Enbal Shacham; Walton Sumner; E Turner Overton
Journal:  Am J Health Behav       Date:  2014-03

5.  Mediational pathways of the impact of cigarette warning labels on quit attempts.

Authors:  Hua-Hie Yong; Ron Borland; James F Thrasher; Mary E Thompson; Gera E Nagelhout; Geoffrey T Fong; David Hammond; K Michael Cummings
Journal:  Health Psychol       Date:  2014-06-30       Impact factor: 4.267

6.  Nicotine Metabolite Ratio (NMR) Prospectively Predicts Smoking Relapse: Longitudinal Findings From ITC Surveys in Five Countries.

Authors:  Brian V Fix; Richard J O'Connor; Neal Benowitz; Bryan W Heckman; K Michael Cummings; Geoffrey T Fong; James F Thrasher
Journal:  Nicotine Tob Res       Date:  2017-09-01       Impact factor: 4.244

7.  A comparison of the characteristics of iOS and Android users of a smoking cessation app.

Authors:  Harveen Kaur Ubhi; Daniel Kotz; Susan Michie; Onno C P van Schayck; Robert West
Journal:  Transl Behav Med       Date:  2017-06       Impact factor: 3.046

8.  Functional beliefs and risk minimizing beliefs among Thai healthcare workers in Maharaj Nakorn Chiang Mai hospital: its association with intention to quit tobacco and alcohol.

Authors:  Surin Jiraniramai; Wichuda Jiraporncharoen; Kanokporn Pinyopornpanish; Nalinee Jakkaew; Tinakon Wongpakaran; Chaisiri Angkurawaranon
Journal:  Subst Abuse Treat Prev Policy       Date:  2017-07-12

9.  Impact of tobacco-related health warning labels across socioeconomic, race and ethnic groups: results from a randomized web-based experiment.

Authors:  Jennifer Cantrell; Donna M Vallone; James F Thrasher; Rebekah H Nagler; Shari P Feirman; Larry R Muenz; David Y He; Kasisomayajula Viswanath
Journal:  PLoS One       Date:  2013-01-14       Impact factor: 3.240

10.  Self-Exempting Beliefs and Intention to Quit Smoking within a Socially Disadvantaged Australian Sample of Smokers.

Authors:  Ashleigh Guillaumier; Billie Bonevski; Christine Paul; Catherine D'Este; Laura Twyman; Kerrin Palazzi; Christopher Oldmeadow
Journal:  Int J Environ Res Public Health       Date:  2016-01-11       Impact factor: 3.390

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