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中风差异:从观察到行动:2020 年爱德华·J·肯顿讲座首讲。

Stroke Disparities: From Observations to Actions: Inaugural Edward J. Kenton Lecture 2020.

机构信息

Department of Neurology, Miller School of Medicine, University of Miami, FL.

出版信息

Stroke. 2020 Nov;51(11):3392-3405. doi: 10.1161/STROKEAHA.120.030428. Epub 2020 Oct 26.

Abstract

Numerous epidemiological studies have demonstrated stroke disparities across race and ethnic groups. The goal of the NOMAS (Northern Manhattan Study) was to evaluate race and ethnic differences in stroke within a community with 3 different race-ethnic groups. Starting as a population-based incidence and case-control study, the study evolved into a cohort study. Results from NOMAS have demonstrated differences in stroke incidence, subtypes, risk factors, and outcomes. Disparities in ideal cardiovascular health can help explain many differences in stroke incidence and call for tailored risk factor modification through innovative portals to shift more diverse subjects to ideal cardiovascular health. The results of NOMAS and multiple other studies have provided foundational data to support interventions. Conceptual models to address health disparities have called for moving from detecting disparities in disease incidence, to determining the underlying causes of disparities and developing interventions, and then to testing interventions in human populations. Further actions to address race and ethnic stroke disparities are needed including innovative risk factor interventions, stroke awareness campaigns, quality improvement programs, workforce diversification, and accelerating policy changes.

摘要

大量的流行病学研究表明,不同种族和族裔之间存在中风差异。NOMAS(北曼哈顿研究)的目的是评估一个拥有 3 个不同种族群体的社区中种族和族裔之间的中风差异。该研究最初是一项基于人群的发病率和病例对照研究,后来演变成了一项队列研究。NOMAS 的研究结果表明,中风的发病率、亚型、风险因素和结果存在差异。理想心血管健康的差异可以帮助解释中风发病率的许多差异,并呼吁通过创新的途径来调整风险因素,以使更多不同的人群达到理想的心血管健康。NOMAS 和其他多项研究的结果为干预措施提供了基础数据。解决健康差异的概念模型呼吁从检测疾病发病率的差异,到确定差异的根本原因并制定干预措施,然后在人群中测试干预措施。需要采取进一步行动来解决种族和族裔的中风差异问题,包括创新的风险因素干预措施、中风宣传活动、质量改进计划、劳动力多样化以及加速政策变革。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8410/7594170/0075745f9d48/nihms-1630788-f0001.jpg

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