Literature DB >> 12773736

The impact of learning of a genetic predisposition to nicotine dependence: an analogue study.

A J Wright1, J Weinman, T M Marteau.   

Abstract

OBJECTIVES: To examine the consequences of informing smokers of a genetic predisposition to nicotine dependence and of providing treatment efficacy information tailored to genetic status.
DESIGN: Analogue study using four vignettes; 2 (genetic status) x 2 (whether treatment efficacy information provided) between subjects design. PARTICIPANTS: 269 British adult smokers. OUTCOME MEASURES: Preferred cessation methods and perceived control over quitting.
RESULTS: Gene positive participants were significantly more likely to choose the cessation method described as effective for their genetic status, but significantly less likely to choose to use their own willpower. Providing tailored treatment information did not alter these effects. Perceived control was not significantly affected by either genetic status or information provision.
CONCLUSIONS: Learning of a genetic predisposition to nicotine dependence may increase desire for effective cessation methods, but may undermine the perceived importance of willpower in stopping smoking.

Entities:  

Mesh:

Year:  2003        PMID: 12773736      PMCID: PMC1747704          DOI: 10.1136/tc.12.2.227

Source DB:  PubMed          Journal:  Tob Control        ISSN: 0964-4563            Impact factor:   7.552


  28 in total

1.  Preferences for genetic and behavioral health information: the impact of risk factors and disease attributions.

Authors:  Suzanne C O'Neill; Colleen M McBride; Sharon Hensley Alford; Kimberly A Kaphingst
Journal:  Ann Behav Med       Date:  2010-10

2.  The prediction of disease risk in genomic medicine.

Authors:  Wayne D Hall; Katherine I Morley; Jayne C Lucke
Journal:  EMBO Rep       Date:  2004-10       Impact factor: 8.807

3.  A research agenda for assessing the potential contribution of genomic medicine to tobacco control.

Authors:  Wayne D Hall
Journal:  Tob Control       Date:  2007-02       Impact factor: 7.552

4.  Responses to online GSTM1 genetic test results among smokers related to patients with lung cancer: a pilot study.

Authors:  Saskia C Sanderson; Suzanne C O'Neill; Della Brown White; Gerold Bepler; Lori Bastian; Isaac M Lipkus; Colleen M McBride
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2009-06-30       Impact factor: 4.254

5.  Communication strategies for enhancing understanding of the behavioral implications of genetic and biomarker tests for disease risk: the role of coherence.

Authors:  Linda D Cameron; Theresa M Marteau; Paul M Brown; William M P Klein; Kerry A Sherman
Journal:  J Behav Med       Date:  2011-06-23

6.  Concerns about unintended negative consequences of informing the public about multifactorial risks may be premature for young adult smokers.

Authors:  Erika A Waters; Caroline Kincaid; Annette R Kaufman; Michelle L Stock; Laurel M Peterson; Nicole L Muscanell; Rosanna E Guadagno
Journal:  Br J Health Psychol       Date:  2013-10-01

7.  Attitudes towards cannabis use and genetic testing for schizophrenia.

Authors:  Jason Schiffman; Ryan E Lawrence; Caroline Demro; Paul S Appelbaum; Lisa B Dixon
Journal:  Early Interv Psychiatry       Date:  2014-06-23       Impact factor: 2.732

8.  Causal beliefs about obesity and associated health behaviors: results from a population-based survey.

Authors:  Catharine Wang; Elliot J Coups
Journal:  Int J Behav Nutr Phys Act       Date:  2010-03-03       Impact factor: 6.457

Review 9.  Being more realistic about the public health impact of genomic medicine.

Authors:  Wayne D Hall; Rebecca Mathews; Katherine I Morley
Journal:  PLoS Med       Date:  2010-10-12       Impact factor: 11.069

10.  Trial Protocol: Using genotype to tailor prescribing of nicotine replacement therapy: a randomised controlled trial assessing impact of communication upon adherence.

Authors:  Theresa M Marteau; Marcus R Munafò; Paul Aveyard; Chloe Hill; Sophia Whitwell; Thomas A Willis; Rachel A Crockett; Gareth J Hollands; Elaine C Johnstone; Alison J Wright; A Toby Prevost; David Armstrong; Stephen Sutton; Ann Louise Kinmonth
Journal:  BMC Public Health       Date:  2010-11-09       Impact factor: 3.295

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