Dermatology Research Centre, The University of Queensland, School of Medicine, Princess Alexandra Hospital, 119 Ipswich Road, Woolloongabba, Queensland, 4102, Australia.
J Clin Epidemiol. 2012 Dec;65(12):1329-36. doi: 10.1016/j.jclinepi.2012.06.014. Epub 2012 Sep 10.
To examine the test-retest reliability and validity of self-reported items capturing phenotypic characteristics and sun exposure measures in the baseline survey instrument used for a prospective study of skin cancer and melanoma.
Repeatability/validity study conducted among 114 participants randomly selected from the cohort to complete the survey instrument a second time and to undergo a physician skin examination. We calculated intraclass correlation coefficients (ICCs) and kappa (κ) statistics as measures of agreement for continuous and categorical measures, respectively.
Measures of phenotypic characteristics showed moderate-to-high agreement (e.g., eye color, κ=0.87; 95% confidence interval [CI]: 0.80, 0.94). Measures of sun exposure had slightly lower estimates of agreement. The repeatability of items relating to medical and family history of skin cancer was high (e.g., the number of skin cancers removed surgically, κ(w)=0.79; 95% CI: 0.71, 0.88). Physician counts of nevi correlated well with categorical measures of self-reported nevus density at the age of 21 years but correlated only modestly with absolute nevus counts conducted by participants (ICC, 0.38; 95% CI: 0.19, 0.54).
Our survey instrument demonstrated fair-to-good test-retest reliability for most self-reported risk factors for melanoma, indicating the suitability of these items for developing risk prediction tools in the future.
检验用于皮肤癌和黑色素瘤前瞻性研究的基线调查工具中,自我报告的表型特征和阳光暴露测量值的重测信度和效度。
在队列中随机选择 114 名参与者重复完成调查工具,并接受医生进行皮肤检查,开展可重复性/有效性研究。我们计算了组内相关系数(ICCs)和kappa(κ)统计量,分别作为连续和分类测量的一致性指标。
表型特征测量值具有中高度一致性(例如,眼睛颜色,κ=0.87;95%置信区间[CI]:0.80,0.94)。阳光暴露测量值的一致性略低。与皮肤癌的医疗和家族史相关的项目的可重复性较高(例如,手术切除的皮肤癌数量,κ(w)=0.79;95%CI:0.71,0.88)。皮肤科医生对痣的计数与自我报告的 21 岁时痣密度的分类测量值相关性良好,但与参与者进行的绝对痣计数相关性仅适度(ICC,0.38;95%CI:0.19,0.54)。
我们的调查工具对黑色素瘤的大多数自我报告风险因素具有良好到中等的重测信度,表明这些项目适合未来开发风险预测工具。