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Race, gender, class, and sexual orientation: intersecting axes of inequality and self-rated health in Canada

机译:种族,性别,阶级和性取向:加拿大不平等和自我评估健康的相交轴

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Background Intersectionality theory, a way of understanding social inequalities by race, gender, class, and sexuality that emphasizes their mutually constitutive natures, possesses potential to uncover and explicate previously unknown health inequalities. In this paper, the intersectionality principles of "directionality," "simultaneity," "multiplicativity," and "multiple jeopardy" are applied to inequalities in self-rated health by race, gender, class, and sexual orientation in a Canadian sample. Methods The Canadian Community Health Survey 2.1 (N = 90,310) provided nationally representative data that enabled binary logistic regression modeling on fair/poor self-rated health in two analytical stages. The additive stage involved regressing self-rated health on race, gender, class, and sexual orientation singly and then as a set. The intersectional stage involved consideration of two-way and three-way interaction terms between the inequality variables added to the full additive model created in the previous stage. Results From an additive perspective, poor self-rated health outcomes were reported by respondents claiming Aboriginal, Asian, or South Asian affiliations, lower class respondents, and bisexual respondents. However, each axis of inequality interacted significantly with at least one other: multiple jeopardy pertained to poor homosexuals and to South Asian women who were at unexpectedly high risks of fair/poor self-rated health and mitigating effects were experienced by poor women and by poor Asian Canadians who were less likely than expected to report fair/poor health. Conclusions Although a variety of intersections between race, gender, class, and sexual orientation were associated with especially high risks of fair/poor self-rated health, they were not all consistent with the predictions of intersectionality theory. I conclude that an intersectionality theory well suited for explicating health inequalities in Canada should be capable of accommodating axis intersections of multiple kinds and qualities.
机译:背景技术交叉性理论是一种通过种族,性别,阶级和性别来理解社会不平等现象的方法,强调了它们的相互构成性质,具有发现和阐明以前未知的健康不平等现象的潜力。在本文中,将“方向性”,“同时性”,“乘法性”和“多重危险”的交叉性原则应用于加拿大样本中按种族,性别,阶级和性取向对自我评价的健康不平等现象。方法加拿大社区健康调查2.1(N = 90,310)提供了全国代表性的数据,该数据可在两个分析阶段对公平/较差的自我评价健康状况进行二元logistic回归建模。累加阶段涉及分别根据种族,性别,阶级和性取向对自测健康进行回归,然后按组回归。相交阶段涉及考虑不等式变量之间的双向和三向交互项,这些不等式变量被添加到前一阶段创建的完全可加模型中。结果从累加的角度来看,声称拥有土著,亚洲或南亚血统的受访者,低下阶层的受访者和双性恋者报告的自我评价健康结果较差。但是,不平等的各个轴之间至少存在着显着的相互作用:多重危害与贫穷的同性恋者以及南亚妇女有关,她们的健康状况受到公平/不良的自我评估,出乎意料地高,贫穷妇女和穷人遭受了缓解的影响加拿大加拿大人的健康状况较差/较预期差。结论尽管种族,性别,阶级和性取向之间的各种交集与自测健康的公平/较差健康的特别高风险相关,但它们并不都与交叉性理论的预测相符。我得出的结论是,非常适合在加拿大阐明健康不平等现象的交叉性理论应该能够容纳多种类型和质量的轴交叉点。

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