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arXiv 1910.06155cs.OHstat.AP
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GeoSES -巴西社会经济研究

GeoSES -- um Índice Socioeconômico para Estudos de Saúde no Brasil

Ligia Vizeu Barrozo, Michel Fornaciali, Carmen Diva Saldiva de André, Guilherme Augusto Zimeo Morais, Giselle Mansur, William Cabral-Miranda, João Ricardo Sato, Edson Amaro Júnior

摘要:

目的:确定一个指数,概述社会经济背景的主要方面,以供研究、评估和监测健康不平等现象。研究方法:该指数是根据2010年巴西人口普查创建的,其变量选择以健康研究的理论参考为指导,包括七个社会经济维度:教育、流动性、贫困、财富、收入、隔离以及资源和服务的剥夺。该指数是使用主成分分析,并评估其结构,内容和适用性组件。结果:GeoSES-BR维度与HDI-M维度具有良好的相关性(> 0.85)。贫困层面的模型最好地解释了巴西可避免原因死亡率的相对风险。在城市内部尺度上,GeoSES-IM模型是最能解释循环系统疾病死亡率相对风险的模型。结论:GeoSES在所研究的量表中表现出显著的解释潜力。

英文摘要:

Objective: to define an index that summarizes the main dimensions of the socioeconomic context for research purposes, evaluation and monitoring health inequalities. Methods: the index was created from the 2010 Brazilian Demographic Census, whose variables selection was guided by theoretical references for health studies, including seven socioeconomic dimensions: education, mobility, poverty, wealth, income, segregation and deprivation of resources and services. The index was developed using principal component analysis, and was evaluated for its construct, content and applicability components. Results: GeoSES-BR dimensions showed good association with HDI-M (above 0.85). The model with the poverty dimension best explained the relative risk of avoidable cause mortality in Brazil. In the intraurban scale, the model with GeoSES-IM was the one that best explained the relative risk of mortality from circulatory system diseases. Conclusion: GeoSES showed significant explanatory potential in the studied scales.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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