Feel Worried, Overloaded, or Fatalistic? The Determinants of Cancer Uncertainty Management Preferences

Wei Peng, Nick Carcioppolo, Aurora Occa, Khudejah Ali, Qinghua Yang, Fan Yang

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


Uncertainty in the context of cancer involves a complex and conflicting decision-making process. Individual preferences of seeking or avoiding information in the decisions of maintaining, reducing, or increasing uncertainty often depend on key cancer-related beliefs. The present study investigates whether cancer worry (CW), information overload (CIO), or fatalism (CF) can predict four constructs of uncertainty management preferences–avoid to maintain hope, avoid insufficient information, seek to increase uncertainty, and seek to reduce uncertainty. A hybrid model with structural and measurement components was specified and tested. The model analysis shows that cancer-related beliefs influenced individuals’ needs and preferences for uncertainty management through seeking or avoiding information. CW was positively related to all but avoiding insufficient information. CIO was positively associated with all four preferences. CF was only associated with avoiding to maintain uncertainty. Theoretical and practical implications were discussed.

Original languageEnglish
Pages (from-to)347-360
Number of pages14
JournalHealth Communication
Issue number3
StatePublished - 2021

Bibliographical note

Publisher Copyright:
© 2019 Taylor & Francis Group, LLC.

ASJC Scopus subject areas

  • Health(social science)
  • Communication


Dive into the research topics of 'Feel Worried, Overloaded, or Fatalistic? The Determinants of Cancer Uncertainty Management Preferences'. Together they form a unique fingerprint.

Cite this