Literature DB >> 28858695

Interest in and reactions to genetic risk information: The role of implicit theories and self-affirmation.

Jennifer M Taber1, William M P Klein2, Susan Persky3, Rebecca A Ferrer2, Annette R Kaufman2, Chan L Thai2, Peter R Harris4.   

Abstract

RATIONALE: Implicit theories reflect core assumptions about whether human attributes are malleable or fixed: Incremental theorists believe a characteristic is malleable whereas entity theorists believe it is fixed. People with entity theories about health may be less likely to engage in risk-mitigating behavior. Spontaneous self-affirmation (e.g., reflecting on one's values when threatened) may lessen defensiveness and unhealthy behaviors associated with fixed beliefs, and reduce the likelihood of responding to health risk information with fixed beliefs.
METHOD: Across two studies conducted in the US from 2012 to 2015, we investigated how self-affirmation and implicit theories about health and body weight were linked to engagement with genetic risk information. In Study 1, participants in a genome sequencing trial (n = 511) completed cross-sectional assessments of implicit theories, self-affirmation, and intentions to learn, share, and use genetic information. In Study 2, overweight women (n = 197) were randomized to receive genetic or behavioral explanations for weight; participants completed surveys assessing implicit theories, self-affirmation, self-efficacy, motivation, and intentions.
RESULTS: Fixed beliefs about weight were infrequently endorsed across studies (10.8-15.2%). In Study 1, participants with stronger fixed theories were less interested in learning and using genetic risk information about medically actionable disease; these associations were weaker among participants higher in self-affirmation. In Study 2, among participants given behavioral explanations for weight, stronger fixed theories about weight were associated with lower motivation and intentions to eat a healthy diet. Among participants given genetic explanations, being higher in self-affirmation was associated with less fixed beliefs.
CONCLUSION: Stronger health-related fixed theories may decrease the likelihood of benefiting from genetic information, but less so for people who self-affirm. Published by Elsevier Ltd.

Entities:  

Keywords:  Body weight; Genetic testing; Implicit theories; Lay theories; Mindsets; Risk; Self-affirmation; United States

Mesh:

Year:  2017        PMID: 28858695      PMCID: PMC9318351          DOI: 10.1016/j.socscimed.2017.08.010

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   5.379


  41 in total

Review 1.  Process and outcome in communication of genetic information within families: a systematic review.

Authors:  Clara L Gaff; Angus J Clarke; Paul Atkinson; Stephanie Sivell; Glyn Elwyn; Rachel Iredale; Hazel Thornton; Joanna Dundon; Chris Shaw; Adrian Edwards
Journal:  Eur J Hum Genet       Date:  2007-07-04       Impact factor: 4.246

2.  Perceived ambiguity as a barrier to intentions to learn genome sequencing results.

Authors:  Jennifer M Taber; William M P Klein; Rebecca A Ferrer; Paul K J Han; Katie L Lewis; Leslie G Biesecker; Barbara B Biesecker
Journal:  J Behav Med       Date:  2015-05-24

3.  A new initiative on precision medicine.

Authors:  Francis S Collins; Harold Varmus
Journal:  N Engl J Med       Date:  2015-01-30       Impact factor: 91.245

4.  Motivators for participation in a whole-genome sequencing study: implications for translational genomics research.

Authors:  Flavia M Facio; Stephanie Brooks; Johanna Loewenstein; Susannah Green; Leslie G Biesecker; Barbara B Biesecker
Journal:  Eur J Hum Genet       Date:  2011-07-06       Impact factor: 4.246

5.  The impact of self-affirmation on health-behavior change: a meta-analysis.

Authors:  Tracy Epton; Peter R Harris; Rachel Kane; Guido M van Koningsbruggen; Paschal Sheeran
Journal:  Health Psychol       Date:  2014-08-18       Impact factor: 4.267

6.  Genomic Information may Inhibit Weight-Related Behavior Change Inclinations Among Individuals in a Fear State.

Authors:  Susan Persky; Rebecca A Ferrer; William M P Klein
Journal:  Ann Behav Med       Date:  2016-06

7.  The role of current affect, anticipated affect and spontaneous self-affirmation in decisions to receive self-threatening genetic risk information.

Authors:  Rebecca A Ferrer; Jennifer M Taber; William M P Klein; Peter R Harris; Katie L Lewis; Leslie G Biesecker
Journal:  Cogn Emot       Date:  2014-12-08

8.  The ClinSeq Project: piloting large-scale genome sequencing for research in genomic medicine.

Authors:  Leslie G Biesecker; James C Mullikin; Flavia M Facio; Clesson Turner; Praveen F Cherukuri; Robert W Blakesley; Gerard G Bouffard; Peter S Chines; Pedro Cruz; Nancy F Hansen; Jamie K Teer; Baishali Maskeri; Alice C Young; Teri A Manolio; Alexander F Wilson; Toren Finkel; Paul Hwang; Andrew Arai; Alan T Remaley; Vandana Sachdev; Robert Shamburek; Richard O Cannon; Eric D Green
Journal:  Genome Res       Date:  2009-07-14       Impact factor: 9.043

9.  Health behavior changes after genetic risk assessment for Alzheimer disease: The REVEAL Study.

Authors:  Serena Chao; J Scott Roberts; Theresa M Marteau; Rebecca Silliman; L Adrienne Cupples; Robert C Green
Journal:  Alzheimer Dis Assoc Disord       Date:  2008 Jan-Mar       Impact factor: 2.703

10.  How do research participants perceive "uncertainty" in genome sequencing?

Authors:  Barbara B Biesecker; William Klein; Katie L Lewis; Tyler C Fisher; Martha Frances Wright; Leslie G Biesecker; Paul K Han
Journal:  Genet Med       Date:  2014-05-29       Impact factor: 8.822

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