Literature DB >> 26979570

Online discussion effects on intention to participate in genetic research: A longitudinal experimental study.

Sojung Claire Kim1, Joseph N Cappella2, Vincent Price2.   

Abstract

OBJECTIVE: The National Human Genome Research Institute has emphasised community engagement and public dialogue in the U.S. on issues related to genetics. This study examines how online discussions among the U.S. public directly or indirectly influence psychosocial constructs of the Theory of Planned Behavior, including intention to take part in genetic research.
DESIGN: After completing the baseline questionnaire, participants (n = 3754) were randomly assigned to one of the following three groups: the discussion group, the pre-/post-only group and the End-of-Project group. The discussion group (n = 1824) was invited and participated in up to three online discussions, which were held from November 2008 to May 2009. MAIN OUTCOME MEASURES: Behavioural intention, beliefs, attitudes, subjective norm and perceived behavioural control variables were assessed.
RESULTS: The most interesting finding was that those participating in online discussions had fewer negative beliefs about volunteering for genetic research, which in turn contributed to more positive attitudes, increased injunctive and descriptive norms and enhanced behavioural control. These relationships, then, were associated with higher intention to participate in genetic research.
CONCLUSION: These findings suggest that continuous public discussions seem to positively affect volunteer intention for genetic research through ameliorating fears of negative consequences.

Entities:  

Keywords:  Theory of Planned Behavior; intention to participate in genetic research; longitudinal experimental study; mediation analysis; synchronous online discussion

Mesh:

Year:  2016        PMID: 26979570      PMCID: PMC5028115          DOI: 10.1080/08870446.2016.1165221

Source DB:  PubMed          Journal:  Psychol Health        ISSN: 0887-0446


  21 in total

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8.  Consulting the community: public expectations and attitudes about genetics research.

Authors:  Holly Etchegary; Jane Green; Elizabeth Dicks; Daryl Pullman; Catherine Street; Patrick Parfrey
Journal:  Eur J Hum Genet       Date:  2013-04-17       Impact factor: 4.246

9.  Social networking in online support groups for health: how online social networking benefits patients.

Authors:  Jae Eun Chung
Journal:  J Health Commun       Date:  2013-04-04

10.  Introduction to mediation analysis with structural equation modeling.

Authors:  Douglas Gunzler; Tian Chen; Pan Wu; Hui Zhang
Journal:  Shanghai Arch Psychiatry       Date:  2013-12
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  1 in total

1.  Using the diffusion of innovations model to guide participant engagement in the genomics era.

Authors:  Katie L Lewis; Flavia M Facio; Courtney D Berrios
Journal:  J Genet Couns       Date:  2019-01-17       Impact factor: 2.537

  1 in total

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