Self-reported pigmentary phenotypes and race are significant but incomplete predictors of Fitzpatrick skin phototype in an ethnically diverse population - 17/09/14
Abstract |
Background |
Fitzpatrick skin phototype (FSPT) is the most common method used to assess sunburn risk and is an independent predictor of skin cancer risk. Because of a conventional assumption that FSPT is predictable based on pigmentary phenotypes, physicians frequently estimate FSPT based on patient appearance.
Objective |
We sought to determine the degree to which self-reported race and pigmentary phenotypes are predictive of FSPT in a large, ethnically diverse population.
Methods |
A cross-sectional survey collected responses from 3386 individuals regarding self-reported FSPT, pigmentary phenotypes, race, age, and sex. Univariate and multivariate logistic regression analyses were performed to determine variables that significantly predict FSPT.
Results |
Race, sex, skin color, eye color, and hair color are significant but weak independent predictors of FSPT (P < .0001). A multivariate model constructed using all independent predictors of FSPT only accurately predicted FSPT to within 1 point on the Fitzpatrick scale with 92% accuracy (weighted kappa statistic 0.53).
Limitations |
Our study enriched for responses from ethnic minorities and does not fully represent the demographics of the US population.
Conclusions |
Patient self-reported race and pigmentary phenotypes are inaccurate predictors of sun sensitivity as defined by FSPT. There are limitations to using patient-reported race and appearance in predicting individual sunburn risk.
Le texte complet de cet article est disponible en PDF.Key words : eye color, Fitzpatrick skin phototype, Fitzpatrick skin type, hair color, pigmentary phenotype, predictor, race, skin cancer risk, skin color, sunburn risk, suntan
Abbreviations used : CI, FSPT, MAE, OR, UV
Plan
| Supported by the American Dermatological Association, Medical Student Research Fellowship (Mr He); National Institutes of Health (NIH)/National Center for Advancing Translational Sciences, University of California at San Francisco Clinical and Translational Science Institute grant number KL2 TR000143 (Dr Arron); NIH/National Institute of Arthritis and Musculoskeletal and Skin Diseases grant number K24 AR052667 (Dr Chren); and National Center for Research Resources grant number KL2 RR024130 and Career Development Award from the American Skin Association and Dermatology Foundation (Dr Linos). |
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| Conflicts of interest: None declared. |
Vol 71 - N° 4
P. 731-737 - octobre 2014 Retour au numéro
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