Literature DB >> 26350552

Current directions in behavioral medicine research on genetic testing for disease susceptibility: introduction to the special section.

Kerry A Sherman1,2, Linda D Cameron3.   

Abstract

The aim of this special section is to showcase research contributing to our understanding of factors influencing decisions to undergo genetic testing and the impact of the genetic testing process on health-related behaviors of tested individuals. The first two articles report studies investigating factors associated with interest in genetic testing and acceptance of test results (Sherman et al. in J Behav Med doi: 10.1007/s10865-015-9630-9 , 2015; Taber et al. in J Behav Med doi: 10.1007/s10865-015-9642-5 , 2015b). The next two papers address the unique contribution of genetic risk information to understanding risk beyond genetic counseling alone (Heiniger et al. in J Behav Med doi 10.1007/s10865-015-9632-7 , 2015; Taber et al. in J Behav Med doi: 10.1007/s10865-015-9648-z , 2015a). The final three articles investigate the effects of genetic risk information on beliefs about disease control and prevention (Aspinwall et al. in J Behav Med doi: 10.1007/s10865-015-9631-8 , 2015; Kelly et al. in J Behav Med doi 10.1007/s10865-014-9613-2 , 2014; Myers et al. in J Behav Med doi: 10.1007/s10865-015-9626-5 , 2015). Collectively, the special section of papers highlights the diverse ways in which behavioural medicine contributes to our understanding of genetic testing for disease risk, and points to the value of further research to better understand ways in which individuals perceive, interpret and respond to genetic risk information.

Keywords:  Disease control; Genetic risk; Genetic testing; Preventive behaviour; Psychosocial; Risk communication

Mesh:

Year:  2015        PMID: 26350552     DOI: 10.1007/s10865-015-9674-x

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  23 in total

1.  Direct-to-consumer genetic testing: good, bad or benign?

Authors:  T Caulfield; N M Ries; P N Ray; C Shuman; B Wilson
Journal:  Clin Genet       Date:  2009-11-21       Impact factor: 4.438

2.  Genetic test reporting enhances understanding of risk information and acceptance of prevention recommendations compared to family history-based counseling alone.

Authors:  Jennifer M Taber; Lisa G Aspinwall; Tammy K Stump; Wendy Kohlmann; Marjan Champine; Sancy A Leachman
Journal:  J Behav Med       Date:  2015-07-16

3.  The effect of disease risk probability and disease type on interest in clinic-based versus direct-to-consumer genetic testing services.

Authors:  Kerry Sherman; Laura-Kate Shaw; Katrina Champion; Fernanda Caldeira; Margaret McCaskill
Journal:  J Behav Med       Date:  2015-03-27

4.  Intuition versus cognition: a qualitative exploration of how women understand and manage their increased breast cancer risk.

Authors:  Louise Heiniger; Phyllis N Butow; Margaret Charles; Melanie A Price
Journal:  J Behav Med       Date:  2015-03-28

5.  Exploring genomic studies in Africa.

Authors:  Scott M Williams; Sarah A Tishkoff
Journal:  Genome Med       Date:  2011-07-08       Impact factor: 11.117

6.  Genetic counseling content: How does it impact health behavior?

Authors:  Kimberly M Kelly; Lee Ellington; Nancy Schoenberg; Thomas Jackson; Stephanie Dickinson; Kyle Porter; Howard Leventhal; Michael Andrykowski
Journal:  J Behav Med       Date:  2014-12-23

7.  Attitudes and beliefs of an albino population toward sun avoidance: advice and services provided by an outreach albino clinic in Tanzania.

Authors:  Sandy R McBride; Barbara J Leppard
Journal:  Arch Dermatol       Date:  2002-05

8.  A health intervention programme for children with albinism at a special school in South Africa.

Authors:  Patricia M Lund; Retha Gaigher
Journal:  Health Educ Res       Date:  2002-06

Review 9.  The Human Genome Project, and recent advances in personalized genomics.

Authors:  Brenda J Wilson; Stuart G Nicholls
Journal:  Risk Manag Healthc Policy       Date:  2015-02-16

10.  Utility of genetic and non-genetic risk factors in prediction of type 2 diabetes: Whitehall II prospective cohort study.

Authors:  Philippa J Talmud; Aroon D Hingorani; Jackie A Cooper; Michael G Marmot; Eric J Brunner; Meena Kumari; Mika Kivimäki; Steve E Humphries
Journal:  BMJ       Date:  2010-01-14
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