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Income inequality and physical and mental health: testing associations consistent with proposed causal pathways

机译:收入不平等与身心健康:与拟议的因果路径一致的测试关联

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Objectives: To test associations between individual health outcomes and ecological variables proposed in causal models of relations between income inequality and health. Design: Regression analysis of a large, nationally representative dataset, linked to US census and other county and state level sources of data on ecological covariates. The regressions control for individual economic and demographic covariates as well as relevant potential ecological confounders. Setting: The US population in the year 2000. Participants: 4817 US adults about age 40, representative of the US population. Main outcome measures: Two outcomes were studied: self reported general health status, dichotomised as "fair" or "poor" compared with "excellent", "very good", or "good", and depression as measured by a score on the Center for Epidemiologic Studies depression instrument > 16. Results: State generosity was significantly associated with a reduced odds of reporting poor general health (OR 0.84, 95%CI: 0.71 to 0.99), and the county unemployment rate with reduced odds of reporting depression (OR 0.91, 95%CI: 0.84 to 0.97). The measure of income inequality is a significant risk factor for reporting poor general health (OR 1.98, CI: 1.08 to 3.62), controlling for all ecological and individual covariates. In stratified models, the index of social capital is associated with reduced odds of reporting poor general health among black people and Hispanics (OR 0.40, CI: 0.1 8 to 0.90), but not significant among white people. The inequality measure is significantly associated with reporting poor general health among white people (OR 2.60, CI: 1.22 to 5.56) but not black people and Hispanics. Conclusions: The effect of income inequality on health may work through the influence of invidious social comparisons (particularly among white subjects) and (among black subjects and Latinos) through a reduction in social capital. Researchers may find it fruitful to recognise the cultural specificity of any such effects.
机译:目的:检验收入不平等与健康之间因果关系模型中提出的个人健康结果与生态变量之间的关联。设计:对具有全国代表性的大型数据集进行回归分析,该数据集与美国人口普查以及其他县和州级生态协变量的数据源相关联。回归控制个体经济和人口协变量以及相关的潜在生态混杂因素。地点:2000年的美国人口。参加者:4817名约40岁的美国成年人,代表美国人口。主要结局指标:研究了两项结局:自我报告的总体健康状况,与“优秀”,“非常好”或“好”相比,分为“一般”或“差”,以及根据中心得分来衡量的抑郁用于流行病学研究的抑郁仪器>16。结果:州慷慨与报告总体健康状况差的几率显着相关(OR 0.84,95%CI:0.71至0.99),县失业率报告抑郁症的几率降低(OR 0.91,95%CI:0.84至0.97)。收入不平等的衡量指标是报告总体健康状况不佳的重要风险因素(OR 1.98,CI:1.08至3.62),控制着所有生态和个体协变量。在分层模型中,社会资本指数与黑人和西班牙裔人报告总体健康状况不佳的几率降低相关(OR 0.40,CI:0.1 8至0.90),而在白人中却不显着。不平等衡量标准与报告的白人总体健康状况不佳(OR 2.60,CI:1.22至5.56)显着相关,而与黑人和西班牙裔无关。结论:收入不平等对健康的影响可能是通过比较激烈的社会比较(尤其是在白人受试者之间)以及(在黑人受试者和拉丁裔之中)通过减少社会资本而产生的。研究人员可能会发现,认识到任何此类影响的文化特殊性是有益的。

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