Division of Cancer Prevention and Control, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, Georgia 30341, USA.
J Am Acad Dermatol. 2011 Nov;65(5 Suppl 1):S58-68. doi: 10.1016/j.jaad.2011.05.035.
Socioeconomic status (SES) has been associated with melanoma incidence and outcomes. Examination of the relationship between melanoma and SES at the national level in the United States is limited. Expanding knowledge of this association is needed to improve early detection and eliminate disparities.
We sought to provide a detailed description of cutaneous melanoma incidence and stage of disease in relationship to area-based socioeconomic measures including poverty level, education, income, and unemployment in the United States.
Invasive cutaneous melanoma data reported by 44 population-based central cancer registries for 2004 to 2006 were merged with county-level SES estimates from the US Census Bureau. Age-adjusted incidence rates were calculated by gender, race/ethnicity, poverty, education, income, unemployment, and metro/urban/rural status using software. Poisson multilevel mixed models were fitted, and incidence density ratios were calculated by stage for area-based SES measures, controlling for age, gender, and state random effects.
Counties with lower poverty, higher education, higher income, and lower unemployment had higher age-adjusted melanoma incidence rates for both early and late stage. In multivariate models, SES effects persisted for early-stage but not late-stage melanoma incidence.
Individual-level measures of SES were unavailable, and estimates were based on county-level SES measures.
Our findings show that melanoma incidence in the United States is associated with aggregate county-level measures of high SES. Analyses using finer-level SES measures, such as individual or census tract level, are needed to provide more precise estimates of these associations.
社会经济地位(SES)与黑色素瘤的发病率和结局相关。在美国,从国家层面上检查黑色素瘤与 SES 之间的关系的研究有限。为了改善早期检测并消除差异,需要进一步了解这种相关性。
我们旨在详细描述美国与基于地区的社会经济指标(包括贫困水平、教育、收入和失业率)相关的皮肤黑色素瘤发病率和疾病分期。
合并了 44 个以人群为基础的中央癌症登记处报告的 2004 年至 2006 年侵袭性皮肤黑色素瘤数据,以及美国人口普查局提供的县一级 SES 评估数据。使用软件按性别、种族/族裔、贫困、教育、收入、失业以及城市/农村/城乡结合部状况计算年龄调整发病率。采用 Poisson 多层次混合模型进行拟合,并计算基于地区的 SES 指标的各分期的发病率密度比,同时控制年龄、性别和州的随机效应。
贫困程度较低、教育程度较高、收入较高和失业率较低的县,早期和晚期黑色素瘤的年龄调整发病率均较高。在多变量模型中,SES 效应持续存在于早期黑色素瘤发病中,但晚期黑色素瘤发病中不存在。
无法获得个体层面的 SES 衡量指标,并且估计是基于县一级的 SES 衡量指标。
我们的研究结果表明,美国黑色素瘤的发病率与总体县一级的 SES 高指标有关。需要使用更精细的 SES 衡量指标(如个人或普查区水平)进行分析,以提供这些关联的更准确估计。