Accuracy of self-reported nevus and pigmentation phenotype compared to clinical assessment in a population-based study of young Australian adults
Menée en Australie à partir de questionnaires auprès de 456 patients atteints d'un mélanome cutané invasif et auprès de 538 témoins (âge : de 18 à 39 ans), cette étude analyse les résultats d'une évaluation clinique par rapport aux informations auto-déclarées sur le nombre et les caractéristiques des nævus
Background : Awareness of individual risk may encourage improved prevention and early detection of melanoma.
Methods : We evaluated the accuracy of self-reported pigmentation and nevus phenotype compared to clinical assessment, and examined agreement between nevus counts from selected anatomical regions. The sample included 456 cases with invasive cutaneous melanoma diagnosed between ages 18-39 years and 538 controls from the population-based Australian Melanoma Family Study. Participants completed a questionnaire regarding their pigmentation and nevus phenotype, and attended a dermatologic skin examination.
Results : There was strong agreement between self-reported and clinical assessment of eye color (kappa, κ, =0.78, 95% confidence interval (CI) 0.74-0.81); and moderate agreement for hair color (κ =0.46, 95% CI 0.42-0.50). Agreement between self-reported skin color and spectrophotometer-derived measurements was poor (κ =0.12, 95% CI 0.08-0.16) to moderate (Spearman correlation rs=-0.37, 95% CI -0.32- to -0.42). Participants tended to under-estimate their nevus counts and pigmentation; men were more likely to under-report their skin color. The rs was 0.43 (95% CI 0.38-0.49) comparing clinical total body nevus counts with self-reported nevus categories. There was good agreement of quartile distributions of total body nevus counts with site-specific nevus counts, particularly on both arms.
Conclusions : Young adults have sub-optimal accuracy when assessing important risk characteristics including nevus numbers and pigmentation. Measuring nevus count on the arms is a good predictor of full body nevus count.
Impact : These results have implications for the likely success of targeted public health programs that rely on self-assessment of these factors.
Cancer Epidemiology Biomarkers & Prevention , résumé, 2015