How are information seeking, scanning, and processing related to beliefs about the roles of genetics and behavior in cancer causation? Journal Article


Authors: Waters, E. A.; Wheeler, C.; Hamilton, J. G.
Article Title: How are information seeking, scanning, and processing related to beliefs about the roles of genetics and behavior in cancer causation?
Abstract: Understanding that cancer is caused by both genetic and behavioral risk factors is an important component of genomic literacy. However, a considerable percentage of people in the United States do not endorse such multifactorial beliefs. Using nationally representative cross-sectional data from the U.S. Health Information National Trends Survey (N = 2,529), we examined how information seeking, information scanning, and key information-processing characteristics were associated with endorsing a multifactorial model of cancer causation. Multifactorial beliefs about cancer were more common among respondents who engaged in cancer information scanning (p = .001), were motivated to process health information (p = .005), and reported a family history of cancer (p = .0002). Respondents who reported having previous negative information-seeking experiences had lower odds of endorsing multifactorial beliefs (p = .01). Multifactorial beliefs were not associated with cancer information seeking, trusting cancer information obtained from the Internet, trusting cancer information from a physician, self-efficacy for obtaining cancer information, numeracy, or being aware of direct-to-consumer genetic testing (ps >.05). Gaining additional understanding of how people access, process, and use health information will be critical for the continued development and dissemination of effective health communication interventions and for the further translation of genomics research to public health and clinical practice. Copyright © Taylor & Francis Group, LLC.
Journal Title: Journal of Health Communication
Volume: 21
ISSN: 1081-0730
Publisher: Taylor & Francis Group  
Date Published: 2016-01-01
Start Page: 6
End Page: 15
Language: English
DOI: 10.1080/10810730.2016.1193917
PROVIDER: scopus
PMCID: PMC5079642
PUBMED: 27661291
DOI/URL:
Notes: Article -- Export Date: 2 November 2016 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Jada Gabrielle Hamilton
    111 Hamilton