From the Department of Kinesiology (Y.K.), University of Texas at Arlington, TX; School of Kinesiology (E.T.), University of Michigan, MI; Department of Biostatistics (S.E.J.), University of Alabama at Birmingham, AL; School of Kinesiology (N.C.), University of Michigan, MI.
Neurology. 2021 May 11;96(19):897-907. doi: 10.1212/WNL.0000000000011892. Epub 2021 Mar 25.
To summarize overall patterns of the impact of neighborhood socioeconomic status (nSES) on stroke incidence and uncover potential gaps in the literature, we conducted a systematic review of studies examining the association between nSES and stroke incidence, independent of individual SES.
Four electronic databases and reference lists of included articles were searched, and corresponding authors were contacted to locate additional studies. A keyword search strategy included the 3 broad domains of neighborhood, SES, and stroke. Eight studies met our inclusion criteria (e.g., nSES as an exposure, individual SES as a covariate, and stroke incidence as an outcome). We coded study methodology and findings across the 8 studies.
The results provide evidence for the overall nSES and stroke incidence association in Sweden and Japan, but not within the United States. Findings were inconclusive when examining the nSES-stroke incidence association stratified by race. We found evidence for the mediating role of biological factors in the nSES-stroke incidence association.
Higher neighborhood disadvantage was found to be associated with higher stroke risk, but it was not significant in all the studies. The relationship between nSES and stroke risk within different racial groups in the United States was inconclusive. Inconsistencies may be driven by differences in covariate adjustment (e.g., individual-level sociodemographic characteristics and neighborhood-level racial composition). Additional research is needed to investigate potential intermediate and modifiable factors of the association between nSES and stroke incidence, which could serve as intervention points.
为了总结邻里社会经济地位(nSES)对中风发病率影响的总体模式,并揭示文献中的潜在差距,我们对研究邻里 SES 与中风发病率之间关系的文献进行了系统回顾,这些研究独立于个体 SES。
我们搜索了四个电子数据库和纳入文章的参考文献列表,并联系了相应的作者以找到其他研究。关键字搜索策略包括邻里、SES 和中风这 3 个广泛的领域。有 8 项研究符合我们的纳入标准(例如,nSES 作为暴露,个体 SES 作为协变量,中风发病率作为结局)。我们对 8 项研究的研究方法和结果进行了编码。
结果为瑞典和日本的整体 nSES 和中风发病率关联提供了证据,但在美国则没有。在按种族分层检查 nSES-中风发病率关联时,结果尚无定论。我们发现生物因素在 nSES-中风发病率关联中具有中介作用。
较高的邻里劣势与较高的中风风险相关,但并非所有研究都如此显著。在美国,不同种族群体的 nSES 和中风风险之间的关系尚无定论。差异可能是由协变量调整(例如个体社会人口统计学特征和邻里种族构成)的差异驱动的。需要进一步研究以调查 nSES 与中风发病率之间关联的潜在中间和可调节因素,这些因素可能成为干预点。