Literature DB >> 9426791

Genetic susceptibility testing in smoking-cessation treatment: one-year outcomes of a randomized trial.

J Audrain1, N R Boyd, J Roth, D Main, N F Caporaso, C Lerman.   

Abstract

This study evaluated the long-term impact of genetic susceptibility biomarker feedback on smoking behavior change and symptoms of depression in 426 male and female smokers. Smokers were randomized to one of three smoking-cessation interventions: minimal contact quit-smoking counseling (QSC), QSC + exposure biomarker feedback (EBF), and QSC + EBF + biomarker feedback about genetic susceptibility to lung cancer (SBF). The logistic regression model for quit attempt revealed a significant main effect for treatment such that participants in the SBF group were more than two times more likely to make a quit attempt than participants in the QSC group. There was not a significant difference between EBF and QSC participants. The results also revealed a significant effect for baseline stage of change. Those smokers in the preparation stage at baseline were more than three times more likely to make a quit attempt over the 12 months following treatment. The models for 30-day cessation and follow-up smoking rate revealed no significant main or interacting effects for treatment. A repeated measures analysis of variance revealed a significant main effect for time, indicating that an initial increase in depression in the genetic susceptibility group was not maintained over time. Genetic susceptibility feedback has the intended effects on motivation to quit, but it may need to be delivered within a more intensive smoking-cessation treatment for the heightened motivation to translate into smoking cessation.

Entities:  

Mesh:

Year:  1997        PMID: 9426791     DOI: 10.1016/s0306-4603(97)00060-9

Source DB:  PubMed          Journal:  Addict Behav        ISSN: 0306-4603            Impact factor:   3.913


  38 in total

Review 1.  Genetic risk and behavioural change.

Authors:  T M Marteau; C Lerman
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3.  Risk perceptions and family history of lung cancer: differences by smoking status.

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

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5.  The predictive capacity of personal genome sequencing.

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Journal:  Sci Transl Med       Date:  2012-04-02       Impact factor: 17.956

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

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Journal:  Br J Health Psychol       Date:  2013-10-01

7.  Immediate and short-term impact of a brief motivational smoking intervention using a biomedical risk assessment: the Get PHIT trial.

Authors:  Jennifer B McClure; Evette Ludman; Lou Grothaus; Chester Pabiniak; Julie Richards; Amy Mohelnitzky
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8.  Behavioral and psychosocial responses to genomic testing for colorectal cancer risk.

Authors:  Kristi D Graves; Kara-Grace Leventhal; Rachel Nusbaum; Yasmin Salehizadeh; Gillian W Hooker; Beth N Peshkin; Morgan Butrick; William Tuong; Jeena Mathew; David Goerlitz; Mary B Fishman; Peter G Shields; Marc D Schwartz
Journal:  Genomics       Date:  2013-04-11       Impact factor: 5.736

Review 9.  Public health genomics and genetic test evaluation: the challenge of conducting behavioural research on the utility of lifestyle-genetic tests.

Authors:  Saskia C Sanderson; Jane Wardle; Steve E Humphries
Journal:  J Nutrigenet Nutrigenomics       Date:  2008-08-06

10.  Beliefs about heritability of cancer and health information seeking and preventive behaviors.

Authors:  Kimberly A Kaphingst; Christina R Lachance; Celeste M Condit
Journal:  J Cancer Educ       Date:  2009       Impact factor: 2.037

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