Literature DB >> 27337343

Who Avoids Cancer Information? Examining a Psychological Process Leading to Cancer Information Avoidance.

Jiyoung Chae1.   

Abstract

Although cancer information avoidance (CIA) is detrimental to public health, predictors of CIA have not been fully investigated. Based on uncertainty management theory, this study viewed CIA as a response to uncertainty related to the distress associated with cancer information and illustrated the psychological process leading to CIA. Given the current information context, it was hypothesized that cancer information overload (CIO), accompanied by confusion and stress about cancer information, causes CIA. As trait anxiety is a strong predictor of CIO, it was also hypothesized that trait anxiety has an indirect effect on CIA through CIO. Study 1 tested this relationship in a U.S. sample (N = 384); the results showed that CIO was positively associated with CIA and that trait anxiety indirectly influenced CIA through CIO. Whereas Study 1 tested the relationship with cross-sectional data in the general cancer context, Study 2 replicated Study 1 with 3-wave longitudinal data in the context of a specific cancer (i.e., stomach cancer) in South Korea (N = 1,130 at Wave 1, 813 at Wave 2, and 582 at Wave 3). Trait anxiety at Wave 1 predicted CIO at Wave 2, which in turn increased CIA at Wave 3, suggesting that some people are inherently inclined to avoid cancer information due to their trait anxiety, which results in confusion about cancer information.

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Year:  2016        PMID: 27337343     DOI: 10.1080/10810730.2016.1177144

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


  9 in total

1.  Assessing the impact of the public nutrition information environment: Adapting the cancer information overload scale to measure diet information overload.

Authors:  Steven Ramondt; A Susana Ramírez
Journal:  Patient Educ Couns       Date:  2018-07-26

2.  Cancer Information Overload Across Time: Evidence from Two Longitudinal Studies.

Authors:  Helen Lillie; Rachael A Katz; Nick Carcioppolo; Elizabeth A Giorgi; Jakob D Jensen
Journal:  Health Commun       Date:  2022-02-16

3.  Cancer information overload: Discriminant validity and relationship to sun safe behaviors.

Authors:  Jakob D Jensen; Manusheela Pokharel; Nick Carcioppolo; Sean Upshaw; Kevin K John; Rachael A Katz
Journal:  Patient Educ Couns       Date:  2019-08-28

4.  From information seeking to information avoidance: Understanding the health information behavior during a global health crisis.

Authors:  Saira Hanif Soroya; Ali Farooq; Khalid Mahmood; Jouni Isoaho; Shan-E Zara
Journal:  Inf Process Manag       Date:  2020-11-29       Impact factor: 6.222

5.  Information overload regarding COVID-19: Adaptation and validation of the cancer information overload scale.

Authors:  Sujit Sarkhel; Ajay Kumar Bakhla; Samir Kumar Praharaj; Malay Kumar Ghosal
Journal:  Indian J Psychiatry       Date:  2020-10-10       Impact factor: 1.759

6.  Coping Strategies among Malaysian Women with Recurrent Ovarian Cancer: A Qualitative Study.

Authors:  Yew Kong Lee; K Asokan Praveena; Yin Ling Woo; Chirk Jenn Ng
Journal:  Asia Pac J Oncol Nurs       Date:  2020-10-15

7.  COVID-19 Information Overload and Cyber Aggression during the Pandemic Lockdown: The Mediating Role of Depression/Anxiety and the Moderating Role of Confucian Responsibility Thinking.

Authors:  Qiong Wang; Xiao Luo; Ruilin Tu; Tao Xiao; Wei Hu
Journal:  Int J Environ Res Public Health       Date:  2022-01-29       Impact factor: 3.390

8.  What Causes Health Information Avoidance Behavior under Normalized COVID-19 Pandemic? A Research from Fuzzy Set Qualitative Comparative Analysis.

Authors:  Qingxiu Ding; Yadi Gu; Gongrang Zhang; Xingguo Li; Qin Zhao; Dongxiao Gu; Xuejie Yang; Xiaoyu Wang
Journal:  Healthcare (Basel)       Date:  2022-07-25

9.  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

  9 in total

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