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(En)gendering racial disparities in health trajectories: A life course and intersectional analysis

机译:健康轨迹中的(性别)性别差异:生活历程和交叉分析

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Historically, intersectionality has been an underutilized framework in sociological research on racial/ethnic and gender inequalities in health. To demonstrate its utility and importance, we conduct an intersectional analysis of the social stratification of health using the exemplar of hypertension—a health condition in which racial/ethnic and gender differences have been well-documented. Previous research has tended to examine these differences separately and ignore how the interaction of social status dimensions may influence health over time. Using seven waves of data from the Health and Retirement Study and multilevel logistic regression models, we found a multiplicative effect of race/ethnicity and gender on hypertension risk trajectories, consistent with both an intersectionality perspective and persistent inequality hypothesis. Group differences in past and contemporaneous socioeconomic and behavioral factors did not explain this effect. Highlights ? Race/ethnicity and gender have multiplicative impacts on hypertension risk. ? Results are largely consistent with intersectionality hypotheses. ? Additive approaches obscure substantively and theoretically important findings. ? Multiplicative impacts of race/ethnicity and gender are stable across age. ? Findings underscore the utility of intersectionality and life course approaches.
机译:从历史上看,交叉性一直是健康方面种族/族裔和性别不平等的社会学研究中未被充分利用的框架。为了证明其实用性和重要性,我们使用高血压的样本对健康的社会分层进行了交叉分析。高血压是一种健康的疾病,种族/族裔和性别差异已得到充分证明。以前的研究倾向于单独检查这些差异,而忽略了社会地位维度的相互作用如何随着时间的推移影响健康。使用来自健康和退休研究的七波数据和多级Logistic回归模型,我们发现种族/民族和性别对高血压风险轨迹的乘法效应,与交叉性观点和持久性不平等假设相一致。过去和同期的社会经济和行为因素的群体差异不能解释这种影响。强调 ?种族/民族和性别对高血压风险具有成倍的影响。 ?结果在很大程度上与交叉假设相符。 ?加性方法掩盖了实质性和理论上重要的发现。 ?种族/民族和性别的乘法影响在各个年龄段都是稳定的。 ?研究结果强调了交叉性和生命过程方法的实用性。

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