Literature DB >> 24753357

Undermining optimistic denial reactions to domestic and campus emergency warning messages.

Suzanne C Thompson1, Michele M Schlehofer.   

Abstract

BACKGROUND: Individuals who prepare for public emergencies can mitigate the effects of an incident, but denial of personal susceptibility may reduce the likelihood of preparation. Some denial may be due to a positive self-image that is at odds with being "at risk". The potential for an enhanced warning message that included a positive image of a protector to circumvent this denial was tested in two studies.
METHODS: Optimistic denial threat orientation was measured. Then participants received either a traditional or a positive protector warning message about terrorism (Study 1; nationally representative sample of US adults; N = 587) or campus emergency preparation (Study 2; US college students; N = 179).
RESULTS: As predicted, in the enhanced image condition optimistic denial was no longer related to stronger denial reactions and lower intentions to protect oneself. In addition, Study 2 tested explanatory mediators and found that negative perceptions of and low similarity to a protector partially explained the denial of those higher in optimistic denial and why their denial was dampened in the positive image condition.
CONCLUSIONS: An enhanced message including a positive image of protector may be an effective way to encourage protection for those prone to optimistic denial.
© 2014 The International Association of Applied Psychology.

Entities:  

Keywords:  denial; emergency preparedness; health behaviors; threat orientations

Mesh:

Year:  2014        PMID: 24753357     DOI: 10.1111/aphw.12024

Source DB:  PubMed          Journal:  Appl Psychol Health Well Being        ISSN: 1758-0854


  2 in total

1.  Denial of a sleep deprivation message: situational and dispositional influences on message rejection.

Authors:  Suzanne C Thompson; Haley W Marber; Laeesha N Cornejo; Bryn M Launer; Kimberly Ona Ayala
Journal:  J Behav Med       Date:  2017-05-17

2.  Generalizability of heterogeneous treatment effect estimates across samples.

Authors:  Alexander Coppock; Thomas J Leeper; Kevin J Mullinix
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-16       Impact factor: 11.205

  2 in total

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