Cited by 148Cutaneous Melanoma Detection and ManagementNonmelanoma Skin Cancer StudiesGlobal Cancer Incidence and Screening

Skin cancer risk perceptions: A comparison across ethnicity, age, education, gender, and income

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Buster, Kesha J., You, Zhiying, Fouad, Mona, Elmets, Craig·2012·Journal of the American Academy of Dermatology

Abstract

Background Studies of noncutaneous and cutaneous malignancies support the hypothesis that poor risk-perception status contributes to health disparity.Objective We evaluated skin cancer (SC) risk perceptions across race and other demographic markers using the Health Information National Trends Survey (HINTS) and compared them to discover differences in perception that may contribute to the disparities in SC diagnosis and treatment.Methods Respondents with no history of SC were randomly selected to answer questions assessing perceived risk and knowledge of preventive strategies of SC. Logistic regression was performed to identify associations between perceptions of SC and demographic variables including self-described race, age, sex, education, income, and health insurance status.Results Blacks, the elderly, and people with less education perceived themselves as at lower risk of developing SC. They, along with Hispanics, were also more likely to believe that one cannot lower their SC risk and that there are so many different recommendations on how to prevent SC that it makes it difficult to know which ones to follow. Lower education also correlated with greater reluctance to have a skin examination.Limitations HINTS is a cross-sectional instrument, thus it only provides a snapshot of SC perceptions.Conclusion Uncertainty and altered perceptions are more common in the SC risk perceptions of ethnic minorities, the elderly, and those with less education. These are the same groups that are subject to disparities in SC outcomes. Educational programs directed at these demographic groups may help to reduce the SC-related health disparities.

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References 65 · Cited by 148

Research works printed but not linked: 2

  1. [19]Altekruse SFKC Krapcho M Neyman N Aminou R Waldron W Ruhl J Howlader N Tatalovich Z Cho H Mariotto A Eisner MP Lewis DR Cronin K Chen HS Feuer EJ Stinchcomb DG Edwards BK (U.S.). NCI SEER Cancer Statistics Review, 1975–2007 Bethesda, MD 2010
  2. [61]Boutwell WB The Under Cover Skin Cancer Prevention Project. A community-based program in four Texas cities Cancer 1 15 1995 75 2 Suppl 657 660 7804991

Authors
Buster, K. J., You, Z., Fouad, M., & Elmets, C.
Affiliations
University of Alabama at Birmingham (US)
Venue
Journal of the American Academy of Dermatology
Publisher
Elsevier BV
Published
2012-05
Volume
66
Issue
5
Pages
771-779
ISSN
0190-9622 (ISSN-L)
OpenAlex
W2003084339
Cited by
148
References
65
Citations by year
2026: 11 · 2025: 9 · 2024: 11 · 2023: 17 · 2022: 9 · 2021: 8 · 2020: 5 · 2019: 12 · 2018: 10 · 2017: 7 · 2016: 18 · 2015: 10 · 2014: 10 · 2013: 7 · 2012: 3
FWCI
3.30
Type
journal article
Language
en
Open access
Locations
  • Journal of the American Academy of Dermatology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute of Arthritis and Musculoskeletal and Skin Diseases (P30AR050948)
Topics
  • Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
  • Health Sciences › Medicine › Epidemiology › Nonmelanoma Skin Cancer Studies
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Keywords
skin cancer risk perception, health disparities, racial and ethnic minorities, skin self-examination, educational attainment, age differences, health insurance status, Hispanic Americans, African Americans, skin cancer screening
MeSH terms
Adolescent, Adult, Age Factors, Aged, Alabama, Attitude to Health, Cross-Sectional Studies, Educational Status, Ethnicity, Female, Humans, Income, Health Knowledge, Attitudes, Practice, Male, Middle Aged, Perception, Surveys and Questionnaires, Sex Factors, Skin Neoplasms, Socioeconomic Factors, Survival Rate, Logistic Models, Risk Assessment, Health Status Disparities, Young Adult

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