Literature DB >> 10092438

Proposed model of the relationship of risk information seeking and processing to the development of preventive behaviors.

R J Griffin1, S Dunwoody, K Neuwirth.   

Abstract

We articulate a model that focuses on characteristics of individuals that might predispose them to seek and process information about health in different ways. Specifically, the model proposes that seven factors-(1) individual characteristics, (2) perceived hazard characteristics, (3) affective response to the risk, (4) felt social pressures to possess relevant information, (5) information sufficiency, (6) one's personal capacity to learn, (7) beliefs about the usefulness of information in various channels-will influence the extent to which a person will seek out this risk information in both routine and nonroutine channels and the extent to which he or she will spend time and effort analyzing the risk information critically. By adapting and synthesizing aspects of Eagly and Chaiken's Heuristic-Systematic Model and Ajzen's Theory of Planned Behavior, we also expect that people who engage in more effortful information seeking and processing are more likely to develop risk-related cognitions, attitudes, and behaviors that are more stable (i.e., less changeable or volatile) over time. Since most forms of health information campaigns attempt to get people to adopt habitual or lifestyle changes, factors leading to the stability or volatility of those behavioral changes are essential concerns. Copyright 1999 Academic Press.

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Mesh:

Year:  1999        PMID: 10092438     DOI: 10.1006/enrs.1998.3940

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  91 in total

1.  Preferences for genetic and behavioral health information: the impact of risk factors and disease attributions.

Authors:  Suzanne C O'Neill; Colleen M McBride; Sharon Hensley Alford; Kimberly A Kaphingst
Journal:  Ann Behav Med       Date:  2010-10

Review 2.  Information processing in the context of genetic risk: implications for genetic-risk communication.

Authors:  Holly Etchegary; Colin Perrier
Journal:  J Genet Couns       Date:  2007-05-01       Impact factor: 2.537

3.  Testing communication strategies to convey genomic concepts using virtual reality technology.

Authors:  Kimberly A Kaphingst; Susan Persky; Cade McCall; Christina Lachance; Andrew C Beall; Jim Blascovich
Journal:  J Health Commun       Date:  2009-06

4.  Reduced fatalism and increased prevention behavior after two high-profile lung cancer events.

Authors:  David B Portnoy; Corinne R Leach; Annette R Kaufman; Richard P Moser; Catherine M Alfano
Journal:  J Health Commun       Date:  2013-11-25

5.  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

6.  The relationship between lay and technical views of Escherichia coli O157 risk.

Authors:  N J C Strachan; C J Hunter; C D R Jones; R S Wilson; S Ethelberg; P Cross; A P Williams; L MacRitchie; O Rotariu; D Chadwick
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2011-07-12       Impact factor: 6.237

7.  Parents' attitudes toward pediatric genetic testing for common disease risk.

Authors:  Kenneth P Tercyak; Sharon Hensley Alford; Karen M Emmons; Isaac M Lipkus; Benjamin S Wilfond; Colleen M McBride
Journal:  Pediatrics       Date:  2011-04-18       Impact factor: 7.124

8.  Effects of patient-provider race concordance and smoking status on lung cancer risk perception accuracy among African-Americans.

Authors:  Susan Persky; Kimberly A Kaphingst; Vincent C Allen; Ibrahim Senay
Journal:  Ann Behav Med       Date:  2013-06

9.  How Are Information Seeking, Scanning, and Processing Related to Beliefs About the Roles of Genetics and Behavior in Cancer Causation?

Authors:  Erika A Waters; Courtney Wheeler; Jada G Hamilton
Journal:  J Health Commun       Date:  2016-09-23

10.  Application and modification of the integrative model for environmental health.

Authors:  Barbara J Polivka; Rosemary Chaudry; J Mac Crawford; Robyn Wilson; Dylan Galos
Journal:  Public Health Nurs       Date:  2012-09-07       Impact factor: 1.462

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