Literature DB >> 18420756

Psychological and behavioural impact of genetic testing smokers for lung cancer risk: a phase II exploratory trial.

Saskia C Sanderson1, Steve E Humphries, Christina Hubbart, Eluned Hughes, Martin J Jarvis, Jane Wardle.   

Abstract

The behavioural and psychological impact of genetic testing for lung cancer susceptibility was examined among smokers (N = 61) who were randomly allocated to a GSTM1 genetic testing group (with GSTM1-missing or GSTM1-present result) or no-test control group. The GSTM1-missing (higher risk) group reported greater motivation to quit smoking, and both genetic testing groups reported lower depression than the control group at one-week follow-up (p < .05 for all). Differences were not significant at two months follow-up. This study indicates the feasibility of much-needed research into the risks and benefits for individuals of emerging lifestyle-related genetic susceptibility tests.

Entities:  

Mesh：

Year:  2008        PMID： 18420756     DOI： 10.1177/1359105308088519

Source DB:  PubMed          Journal:  J Health Psychol        ISSN： 1359-1053


  37 in total

1.  Risk perceptions and family history of lung cancer: differences by smoking status.

Authors:  L S Chen; K A Kaphingst
Journal:  Public Health Genomics       Date:  2010-04-08       Impact factor: 2.000

2.  Genetic counseling as a tool for type 2 diabetes prevention: a genetic counseling framework for common polygenetic disorders.

Authors:  Jessica L Waxler; Kelsey E O'Brien; Linda M Delahanty; James B Meigs; Jose C Florez; Elyse R Park; Barbara R Pober; Richard W Grant
Journal:  J Genet Couns       Date:  2012-10       Impact factor: 2.537

3.  'Someday it will be the norm': physician perspectives on the utility of genome sequencing for patient care in the MedSeq Project.

Authors:  Jason L Vassy; Kurt D Christensen; Melody J Slashinski; Denise M Lautenbach; Sridharan Raghavan; Jill Oliver Robinson; Jennifer Blumenthal-Barby; Lindsay Zausmer Feuerman; Lisa Soleymani Lehmann; Michael F Murray; Robert C Green; Amy L McGuire
Journal:  Per Med       Date:  2015       Impact factor: 2.512

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.  Integrating genetic studies of nicotine addiction into public health practice: stakeholder views on challenges, barriers and opportunities.

Authors:  M J Dingel; A D Hicks; M E Robinson; B A Koenig
Journal:  Public Health Genomics       Date:  2011-07-09       Impact factor: 2.000

6.  Young smokers' interpretations of the estimated lung cancer risk associated with a common genetic variant of low penetrance.

Authors:  S C Sanderson; C M McBride; S C O'Neill; S Docherty; J Shepperd; I M Lipkus
Journal:  Public Health Genomics       Date:  2014-02-19       Impact factor: 2.000

7.  Explaining behavior change after genetic testing: the problem of collinearity between test results and risk estimates.

Authors:  Thomas R Fanshawe; A Toby Prevost; J Scott Roberts; Robert C Green; David Armstrong; Theresa M Marteau
Journal:  Genet Test       Date:  2008-09

Review 8.  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

9.  "I don't have to know why it snows, I just have to shovel it!": Addiction Recovery, Genetic Frameworks, and Biological Citizenship.

Authors:  Molly J Dingel; Jenny Ostergren; Kathleen Heaney; Barbara A Koenig; Jennifer McCormick
Journal:  Biosocieties       Date:  2017-07-11

Review 10.  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
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