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J Cosmet Dermatol ; 18(4): 1030-1036, 2019 Aug.
Article in English | MEDLINE | ID: mdl-30246369

ABSTRACT

BACKGROUND: Appearance-based messages have shown promise in improving sun protection habits among Caucasians but have scarcely been investigated in Hispanic populations. OBJECTIVE: To compare the effectiveness of appearance-based vs health-based messages in an ethnic patient population, where hyperpigmentation disorders are prevalent and often cosmetically concerning. METHODS: One hundred thirty-seven patients were randomized to receive images of (a) skin cancer, (b) hyperpigmentation, or (c) wrinkles. Analysis of variance tests for repeated measures were used to estimate the effects of the different stimuli on participants' knowledge and intention to sun protect. RESULTS: Appearance-based interventions were more effective in improving intentions to sun protect among both Hispanics and non-Hispanic Whites (P < 0.05). They were furthermore more effective among younger patient populations (≤40 years old) and patients who thought that a tanned appearance is attractive (P < 0.05). CONCLUSIONS: Appearance-based photos of sun damage were more effective than health-based messages among Hispanics, younger patient populations, and those who find tanned appearances to be attractive.


Subject(s)
Hyperpigmentation/prevention & control , Patient Education as Topic , Skin Neoplasms/prevention & control , Sunburn/prevention & control , Sunlight/adverse effects , Adult , Age Factors , Aged , Aged, 80 and over , Double-Blind Method , Esthetics , Female , Health Behavior/ethnology , Health Knowledge, Attitudes, Practice/ethnology , Hispanic or Latino/statistics & numerical data , Humans , Hyperpigmentation/diagnostic imaging , Hyperpigmentation/etiology , Male , Middle Aged , Photography , Skin Aging/radiation effects , Skin Neoplasms/diagnostic imaging , Skin Neoplasms/etiology , Sunbathing , Sunburn/diagnostic imaging , Sunburn/etiology , Sunscreening Agents/administration & dosage , Surveys and Questionnaires/statistics & numerical data , White People/statistics & numerical data , Young Adult
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