Eide Melody J, Weinstock Martin A, Clark Melissa A
Department of Community Health, Brown University, Center for Gerontology and Healthcare Research, Providence, RI, USA.
J Health Care Poor Underserved. 2009 Feb;20(1):227-45. doi: 10.1353/hpu.0.0113.
Studies suggest sociodemographic factors may influence melanoma prognosis. Our objective was to quantify sociodemographic predictors of U.S. melanoma. Data from 17,702 melanoma cases reported to the Surveillance Epidemiology and End Results (SEER) program from 1988-1993 were merged with sociodemographic data (1990 U.S. Census). Regression analysis was used to model prognosis: melanoma mortality to incidence ratio. Prognosis was significantly associated with neighborhood racial heterogeneity, education and income. Melanoma patients who resided in areas with higher education (OR 0.4, 95% CI 0.3-0.5), more White residents (OR 0.7, 95% CI 0.5-0.8), or higher incomes (OR 0.4, 95% CI 0.2-0.5) were less likely to have poor prognosis. Education explained 3.3 times more variance than race and 1.9 times more than income. Sociodemographic factors were associated with stage and tumor thickness. Neighborhood sociodemographic variables were predictive of melanoma prognosis, and suggest an important direction for targeting public health efforts to reach those in at-risk communities.
研究表明,社会人口统计学因素可能会影响黑色素瘤的预后。我们的目标是量化美国黑色素瘤的社会人口统计学预测因素。1988年至1993年向监测、流行病学和最终结果(SEER)计划报告的17702例黑色素瘤病例的数据与社会人口统计学数据(1990年美国人口普查数据)合并。采用回归分析对预后进行建模:黑色素瘤死亡率与发病率之比。预后与邻里种族异质性、教育程度和收入显著相关。居住在教育程度较高地区(比值比0.4,95%置信区间0.3 - 0.5)、白人居民较多地区(比值比0.7,95%置信区间0.5 - 0.8)或收入较高地区(比值比0.4,95%置信区间0.2 - 0.5)的黑色素瘤患者预后不良的可能性较小。教育程度解释的变异比种族多3.3倍,比收入多1.9倍。社会人口统计学因素与疾病分期和肿瘤厚度相关。邻里社会人口统计学变量可预测黑色素瘤预后,并为针对高危社区人群开展公共卫生工作指明了一个重要方向。