乳腺癌生存的种族差异:宏观社会背景和社会网络因素的中介作用。

Ganga Vijayasiri, Yamile Molina, Ifeanyi Beverly Chukwudozie, Silvia Tejeda, Heather A Pauls, Garth H Rauscher, Richard T Campbell, Richard B Warnecke
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引用次数: 0

摘要

本研究试图澄清宏观社会和社会网络因素与乳腺癌生存中持续的种族差异之间的联系。本研究改进了先前的方法,使用了评估经济和社会劣势的邻里劣势测量和评估关键社会网络特征的自我网络测量工具。我们以人群为基础的样本包括786名乳腺癌患者(nHWhite=388;nHBlack=398)于2005-2008年在伊利诺伊州芝加哥诊断。数据包括人口普查衍生的宏观社会背景、自我报告的社会网络、自我报告的人口统计和医学抽象的健康措施。使用来自国家死亡指数(NDI)的死亡率数据来确定5年生存率。根据我们的研究结果,邻里集中劣势与nHBlack和nHWhite乳腺癌患者的生存率呈负相关。在未调整的模型中,社会网络规模、网络密度、实际支持和财务支持与5年生存率呈正相关。然而,在调整后的模型中,只有实际支持与5年生存率相关。我们的研究结果表明,网络规模和乳腺癌生存之间的关系对网络测量的规模很敏感,这有助于解释过去研究结果的不一致。白人和黑人的社会网络在规模、社会支持维度、网络密度和地理邻近性方面存在差异。在社会因素中,居住在弱势社区和没有得到实际支持解释了生存方面的一些种族差异。非白人和非黑人在晚期诊断和合并症方面的差异也解释了种族生存差异的一些原因。我们的研究结果强调了社会因素的相关性,无论是宏观因素还是人际因素,都与乳腺癌生存的种族差异有关。研究结果表明,非裔黑人妇女存活率降低的部分原因是社会网络资源不足以及居住在社会和经济贫困的社区。为了提高乳腺癌患者的生存率,社会政策需要继续改善保健服务的获得以及种族构成的社会和经济劣势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Racial Disparities in Breast Cancer Survival: The Mediating Effects of Macro-Social Context and Social Network Factors.

This study attempts to clarify the associations between macro-social and social network factors and the continuing racial disparities in breast cancer survival. The study improves on prior methodologies by using a neighborhood disadvantage measure that assesses both economic and social disadvantage and an ego-network measurement tool that assesses key social network characteristics. Our population-based sample included 786 breast cancer patients (nHWhite=388; nHBlack=398) diagnosed during 2005-2008 in Chicago, IL. The data included census-derived macro-social context, self-reported social network, self-reported demographic and medically abstracted health measures. Mortality data from the National Death Index (NDI) were used to determine 5-year survival. Based on our findings, neighborhood concentrated disadvantage was negatively associated with survival among nHBlack and nHWhite breast cancer patients. In unadjusted models, social network size, network density, practical support, and financial support were positively associated with 5-year survival. However, in adjusted models only practical support was associated with 5-year survival. Our findings suggested that the association between network size and breast cancer survival is sensitive to scaling of the network measure, which helps to explain inconsistencies in past findings. Social networks of nHWhites and nHBlacks differed in size, social support dimensions, network density, and geographic proximity. Among social factors, residence in disadvantaged neighborhoods and unmet practical support explained some of the racial disparity in survival. Differences in late stage diagnosis and comorbidities between nHWhites and nHBlacks also explained some of the racial disparity in survival. Our findings highlight the relevance of social factors, both macro and inter-personal in the racial disparity in breast cancer survival. Findings suggest that reduced survival of nHBlack women is in part due to low social network resources and residence in socially and economically deprived neighborhoods. To improve survival among breast cancer patients social policies need to continue improving health care access as well as racially patterned social and economic disadvantage.

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