Visual Tailoring and Skin Cancer Prevention: Comparing Personalized, Stock, and Non-Ultraviolet Images.


Journal

Health communication
ISSN: 1532-7027
Titre abrégé: Health Commun
Pays: England
ID NLM: 8908762

Informations de publication

Date de publication:
12 2023
Historique:
pmc-release: 01 12 2024
medline: 4 10 2023
pubmed: 29 6 2022
entrez: 28 6 2022
Statut: ppublish

Résumé

Past research has demonstrated that ultraviolet (UV) photos - which reveal skin damage as dark patches - can increase preventive behaviors. Emerging camera technology facilitates personalized UV photos for interventions, yet little is known about how personalized photos compare to other visuals and what cognitive or affective mechanism explains their persuasive impact. To engage this research line, the current study compared the impact of personalized UV (PUV), stock UV (SUV), and non-UV (NUV) photos and, to advance theorizing on fear appeals, explored underlying affective mechanisms including physiological fear. A sample of 169 undergraduate students participated in a 3 (Visual conditions: PUV, SUV, NUV) × 2 (Efficacy conditions: No efficacy and Efficacy) between-participants message experiment on a computer equipped with iMotions 6.4 that tracked real-time physiological responses (facial expression and skin conductance). Results demonstrated that PUV skin damage photos produced significantly greater self-reported fear and positive valence (detected by facial expression analysis) than NUV and SUV visuals. Mediation analysis demonstrated that fear had a significant indirect effect on the relationship between exposure to PUV skin damage visuals and behavior expectations.

Identifiants

pubmed: 35765121
doi: 10.1080/10410236.2022.2091917
pmc: PMC9924001
mid: NIHMS1857220
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

2582-2591

Subventions

Organisme : NIBIB NIH HHS
ID : DP2 EB022360
Pays : United States

Auteurs

Manusheela Pokharel (M)

Department of Communication Studies, Texas State University.

Jakob D Jensen (JD)

Department of Communication, University of Utah.

Kevin K John (KK)

School of Communications, Brigham Young University.

Katheryn R Christy (KR)

School of Journalism and Mass Communication, University of Wisconsin-Madison.

Sophia Taylor-Burton (S)

Department of Communication Studies, Texas State University.

Sean Upshaw (S)

School of Advertising & Public Relations, University of Texas at Austin.

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Classifications MeSH