Contextual Predictors of Cumulative Biological Risk: Segregation and Allostatic Load
Contextual Predictors of Cumulative Biological Risk: Segregation and Allostatic Load
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DOI：
10.1111/j.1540-6237.2011.00821.x
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发表时间：
2011-12-01
影响因子：
1.9
通讯作者：
Beck, Audrey N.
中科院分区：
文献类型：
--
作者：
Bellatorre, Anna;Finch, Brian K.;Beck, Audrey N.
目标.隔离被认为是造成种族/族裔健康差距的根本原因。然而，很少有研究使用多层次数据和适当的方法来测试隔离程度是否与健康结果有关。在这项研究中，我们调查了隔离和非稳态负荷的两个不同维度之间的关系，以确定隔离社区中个人的经历是否与非稳态负荷相关，作为可能的病前指标。方法.为了验证我们的假设，我们利用了1988 - 1994年国家健康和营养调查III的公开数据。我们利用随机截距分层广义泊松回归模型进行多变量分析。结果我们发现炎症反应与隔离的均匀性和暴露域有关。也就是说，少数群体在区域单位上的不平等分布以及少数群体和多数群体成员之间的潜在接触程度都与这些疾病前途径有关。结论.在这项研究中，我们建立在Massey（2004）之前的研究基础上，研究了分离和非稳态负荷两个不同维度之间的关系。我们的研究结果表明，隔离是一个显着的预测非稳态负荷，净个人水平的特点。
Objectives. Segregation is considered to be a fundamental cause of race/ethnic disparities in health. However, very few studies have tested whether levels of segregation are related to health outcomes using multilevel data and appropriate methodologies. In this study, we investigate the relationships between two distinct dimensions of segregation and allostatic load to determine whether the experiences of individuals in segregated neighborhoods are related to allostatic load as a possible predisease indicator. Methods. To test our hypotheses, we utilized publicly available data from the National Health and Nutrition Examination Survey III, 1988-1994. We utilized random-intercept hierarchical generalized Poisson regression models to conduct our multivariate analyses. Results. We find that inflammatory response is related to both the evenness and exposure domains of segregation. That is, both the unequal distribution of minority groups over areal units as well as the degree of potential contact between minority and majority group members are related to these predisease pathways. Conclusions. In this study, we build on prior research by Massey (2004) to investigate the relationships between two distinct dimensions of segregation and allostatic load. Our results indicate that segregation is a significant predictor of allostatic load, net of individual-level characteristics.