Literature DB >> 24433251

Personal cancer knowledge and information seeking through PRISM: the planned risk information seeking model.

Shelly R Hovick1, Leeann Kahlor, Ming-Ching Liang.   

Abstract

This study retested PRISM, a model of risk information seeking, and found that it is applicable to the context of cancer risk communication. The study, which used an online sample of 928 U.S. adults, also tested the effect of additional variables on that model and found that the original model better fit the data. Among the strongest predictors of cancer information seeking were seeking-related subjective norms, attitude toward seeking, perceived knowledge insufficiency, and affective risk response. Furthermore, risk perception was a strong predictor of an affective risk response. The authors suggest that, given the robustness across studies, the path between seeking-related subjective norms and seeking intention is ready to be implemented in communication practice.

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Year:  2014        PMID: 24433251     DOI: 10.1080/10810730.2013.821556

Source DB:  PubMed          Journal:  J Health Commun        ISSN: 1081-0730


  14 in total

1.  Effect of Disclosing Genetic Risk for Coronary Heart Disease on Information Seeking and Sharing: The MI-GENES Study (Myocardial Infarction Genes).

Authors:  Sherry-Ann N Brown; Hayan Jouni; Tariq S Marroush; Iftikhar J Kullo
Journal:  Circ Cardiovasc Genet       Date:  2017-08

2.  Factors affecting breast cancer patients' need for genetic risk information: From information insufficiency to information need.

Authors:  Soo Jung Hong; Barbara Biesecker; Jennifer Ivanovich; Melody Goodman; Kimberly A Kaphingst
Journal:  J Genet Couns       Date:  2019-01-24       Impact factor: 2.537

3.  Exploring genetic counselors' perceptions of usefulness and intentions to use refined risk models in clinical care based on the Technology Acceptance Model (TAM).

Authors:  Christopher Heinlen; Shelly R Hovick; Guy N Brock; Brett G Klamer; Amanda Ewart Toland; Leigha Senter
Journal:  J Genet Couns       Date:  2019-03-07       Impact factor: 2.537

4.  A Video Game Promoting Cancer Risk Perception and Information Seeking Behavior Among Young-Adult College Students: A Randomized Controlled Trial.

Authors:  Georges Elias Khalil; Ivan L Beale; Minxing Chen; Alexander V Prokhorov
Journal:  JMIR Serious Games       Date:  2016-07-28       Impact factor: 4.143

5.  A Cross-Cultural Comparison of an Extended Planned Risk Information Seeking Model on Mental Health Among College Students: Cross-Sectional Study.

Authors:  Zhaomeng Niu; Jessica Fitts Willoughby; Jing Mei; Shaochun Li; Pengwei Hu
Journal:  J Med Internet Res       Date:  2020-05-11       Impact factor: 5.428

6.  Associations of Health Literacy, Social Media Use, and Self-Efficacy With Health Information-Seeking Intentions Among Social Media Users in China: Cross-sectional Survey.

Authors:  Zhaomeng Niu; Jessica Willoughby; Rongting Zhou
Journal:  J Med Internet Res       Date:  2021-02-25       Impact factor: 5.428

7.  Correlates of health information seeking between adults diagnosed with and without cancer.

Authors:  Eric Adjei Boakye; Kahee A Mohammed; Christian J Geneus; Betelihem B Tobo; Lorinette S Wirth; Lei Yang; Nosayaba Osazuwa-Peters
Journal:  PLoS One       Date:  2018-05-10       Impact factor: 3.240

8.  The impact of social media on risk perceptions during the MERS outbreak in South Korea.

Authors:  Doo-Hun Choi; Woohyun Yoo; Ghee-Young Noh; Keeho Park
Journal:  Comput Human Behav       Date:  2017-03-03

9.  Food Safety Risk Information-Seeking Intention of WeChat Users in China.

Authors:  Zhaohui Yang; Krishna P Paudel; Xiaowei Wen; Sangluo Sun; Yong Wang
Journal:  Int J Environ Res Public Health       Date:  2020-03-31       Impact factor: 3.390

10.  Media Exposure, Cancer Beliefs, and Cancer-Related Information-Seeking or Avoidance Behavior Patterns in China.

Authors:  Rui He; Yungeng Li
Journal:  Int J Environ Res Public Health       Date:  2021-03-18       Impact factor: 3.390

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