This article advances the field by integrating insights from intersectionality perspectives with the emerging literatures on structural racism and structural sexism—which point to promising new ways to measure systems of inequality at a macro level—to introduce a structural intersectionality approach to population health. We demonstrate an application of structural intersectionality using administrative data representing macrolevel structural racism, structural sexism, and income inequality in U.S. states linked to individual data from the Behavioral Risk Factor Surveillance System to estimate multilevel models (N = 420,644 individuals nested in 76 state-years) investigating how intersecting dimensions of structural oppression shape health. Analyses show that these structural inequalities: (1) vary considerably across U.S. states, (2) intersect in numerous ways but do not strongly or positively covary, (3) individually and jointly shape health, and (4) are most consistently associated with poor health for black women. We conclude by outlining an agenda for future research on structural intersectionality and health.

本文通过将交叉性观点的见解与关于结构性种族主义和结构性性别歧视的新兴文献相结合来推进该领域——这些文献指出了在宏观层面衡量不平等系统的有希望的新方法——以引入结构性交叉性人口健康的方法。我们使用代表美国各州宏观结构性种族主义、结构性性别歧视和收入不平等的行政数据与行为风险因素监测系统中的个人数据相关联，以估计多级模型（N = 420,644 个人，嵌套在 76 个州年），展示了结构交叉性的应用) 调查结构性压迫的交叉维度如何塑造健康。分析表明，这些结构性不平等：（1）在美国各州之间差异很大，（2）以多种方式相交，但没有强烈或积极的共同变化，（3）单独和共同塑造健康，以及（4）与穷人最一致黑人妇女的健康。最后，我们概述了关于结构交叉性和健康的未来研究议程。