Institute of Social and Preventive Medicine (ISPM), University of Bern, Switzerland.
National Institute for Cancer Epidemiology and Registration (NICER), Zürich, Switzerland.
Int J Cancer. 2017 Oct 15;141(8):1529-1539. doi: 10.1002/ijc.30856. Epub 2017 Jul 7.
We explored socioeconomic and demographic disparities in breast cancer (BC) stage at presentation and survival in a Swiss population-based sample of female BC patients linked to the census-based Swiss National Cohort. Tumor stage was classified according to Surveillance, Epidemiology and End Results Program summary stage (in situ/localized/regional/distant). We used highest education level attained to estimate SEP (low/middle/high). Further demographic characteristics of interest were age at presentation (30-49/50-69/70-84 years), living in a canton with organized screening (yes/no), urbanity of residence (urban/peri-urban/rural), civil status (single/married/widowed/divorced) and nationality (Swiss/non-Swiss). We used ordered logistic regression models to analyze factors associated with BC stage at presentation and competing risk regression models for factors associated with survival. Odds of later-stage BC were significantly increased for low SEP women (odds ratio 1.19, 95%CI 1.06-1.34) compared to women of high SEP. Further, women living in a canton without organized screening program, women diagnosed outside the targeted screening age and single/widowed/divorced women were more often diagnosed at later stages. Women of low SEP experienced an increased risk of dying from BC (sub-hazard ratio 1.22, 95%CI 1.05-1.43) compared to women of high SEP. Notably, these survival inequalities could not be explained by socioeconomic differences in stage at presentation and/or other sociodemographic factors. It is concerning that these social gradients have been observed in a country with universal health insurance coverage, high health expenditures and one of the highest life expectancies in the world.
我们探索了瑞士基于人群的女性乳腺癌患者样本中与基于人口普查的瑞士国家队列相关联的乳腺癌(BC)分期和生存方面的社会经济和人口统计学差异。肿瘤分期根据监测、流行病学和最终结果计划总结分期(原位/局部/区域/远处)进行分类。我们使用最高受教育程度来估计社会经济地位(低/中/高)。进一步感兴趣的人口统计学特征是发病年龄(30-49/50-69/70-84 岁)、居住在有组织筛查的州(是/否)、居住的城市性(城市/城郊/农村)、婚姻状况(单身/已婚/丧偶/离婚)和国籍(瑞士/非瑞士)。我们使用有序逻辑回归模型分析与 BC 分期相关的因素,并使用竞争风险回归模型分析与生存相关的因素。与高社会经济地位的女性相比,低社会经济地位的女性患有晚期 BC 的几率明显增加(优势比 1.19,95%CI 1.06-1.34)。此外,居住在没有组织筛查计划的州的女性、在目标筛查年龄之外被诊断出的女性以及单身/丧偶/离婚的女性更常被诊断为晚期。与高社会经济地位的女性相比,低社会经济地位的女性死于 BC 的风险增加(亚风险比 1.22,95%CI 1.05-1.43)。值得注意的是,这些生存不平等现象不能用分期方面的社会经济差异和/或其他社会人口统计学因素来解释。令人担忧的是,在一个拥有全民健康保险覆盖、高卫生支出和世界上最高预期寿命之一的国家,观察到了这些社会阶层。