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10 个美国州中普查区贫困与地理可达性对晚期乳腺癌诊断的联合影响。

The joint effects of census tract poverty and geographic access on late-stage breast cancer diagnosis in 10 US States.

机构信息

Department of Geography and Huntsman Cancer Institute, Cancer Control and Population Sciences, University of Utah, Salt Lake City, UT 84112, USA.

出版信息

Health Place. 2013 May;21:110-21. doi: 10.1016/j.healthplace.2013.01.007. Epub 2013 Mar 1.

Abstract

This study evaluated independent and joint effects of census tract (CT) poverty and geographic access to mammography on stage at diagnosis for breast cancer. The study included 161,619 women 40+ years old diagnosed with breast cancer between 2004 -2006 in ten participating US states. Multilevel logistic regression was used to estimate the odds of late-stage breast cancer diagnosis for the entire study population and by state. Poverty was independently associated with late-stage in the overall population (poverty rates >20% OR=1.30, 95% CI=1.26- 1.35) and for 9 of the 10 states. Geographic access was not associated with late-stage diagnosis after adjusting for CT poverty. State-specific analysis provided little evidence that geographic access was associated with breast cancer stage at diagnosis, and after adjusting for poverty, geographic access mattered in only 1 state. Overall, compared to women with private insurance, the adjusted odds ratios for late stage at diagnosis among women with either no insurance, Medicaid, or Medicare were 1.80 (95% CI = 1.65, 1.96), 1.75 (95% CI = 1.68, 1.84), and 1.05 (95% CI 1.01, 1.08), respectively. Although geographic access to mammography was not a significant predictor of late-stage breast cancer diagnosis, women in high poverty areas or uninsured are at greatest risk of being diagnosed with late-stage breast cancer regardless of geographic location and may benefit from targeted interventions.

摘要

本研究评估了普查区(CT)贫困状况和获得乳房 X 光检查的地理位置这两个独立因素及其联合效应对乳腺癌诊断时分期的影响。研究纳入了 2004 年至 2006 年期间在十个参与研究的美国州被诊断患有乳腺癌的 161619 名 40 岁以上女性。采用多水平逻辑回归分析方法估计了整个研究人群和各个州的晚期乳腺癌诊断的可能性。在整个研究人群中,贫困状况与晚期乳腺癌显著相关(贫困率>20%的比值比[OR]=1.30,95%置信区间[CI]为 1.26-1.35),且在 10 个州中的 9 个州均如此。在调整 CT 贫困状况后,地理位置与晚期诊断无显著相关性。对各州的分析结果表明,地理位置与诊断时的乳腺癌分期无明显关联,且在调整贫困状况后,仅有一个州的地理位置对诊断结果有影响。总体而言,与有私人保险的女性相比,无保险、医疗补助或医疗保险的女性的晚期诊断调整后比值比(OR)分别为 1.80(95%CI=1.65, 1.96)、1.75(95%CI=1.68, 1.84)和 1.05(95%CI 1.01, 1.08)。尽管获得乳房 X 光检查的地理位置不是晚期乳腺癌诊断的显著预测因素,但无论地理位置如何,高贫困地区或无保险的女性患有晚期乳腺癌的风险最大,可能需要采取有针对性的干预措施。

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