社会经济和临床决定因素与美国县级中风患病率的相关性。

IF 8.1 1区医学 Q1 CLINICAL NEUROLOGY Annals of Neurology Pub Date : 2024-07-26 DOI:10.1002/ana.27039

Eric L. Stulberg MD, MPH, Lynda Lisabeth PhD, Andrea L. C. Schneider MD, PhD, Lesli Skolarus MD, MS, Kiarri N. Kershaw PhD, Alexander R. Zheutlin MD, MS, Benjamin R. E. Harris MD, Daniel Sarpong PhD, Ka-Ho Wong MBA, Kevin N. Sheth MD, Adam de Havenon MD, MS

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引用次数: 0

摘要

社会经济地位（SES）是一个与中风风险和预后相关的多层面理论概念。了解哪些 SES 指标与人群卒中指标最相关，将有助于改进观察研究中的统计工作，并为干预措施提供依据。利用美国疾病控制和预防中心（CDC）的人口水平分析和社区估计（PLACES）及其他公开数据库，我们进行了一项生态学研究，比较了美国不同县级 SES、医疗保健获取途径和临床风险因素测量与年龄调整后中风患病率的相关性。与其他 SES 和非 SES 指标相比，生活在联邦贫困线 150% 以下的成年人患病率与中风患病率的相关性最强（相关系数 = 0.908，R2 = 0.825；调整后的部分相关系数：0.589，R2 = 0.347）。ann neurol 2024.

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Correlations of Socioeconomic and Clinical Determinants with United States County-Level Stroke Prevalence

Socioeconomic status (SES) is a multi-faceted theoretical construct associated with stroke risk and outcomes. Knowing which SES measures best correlate with population stroke metrics would improve its accounting in observational research and inform interventions. Using the Centers for Disease Control and Prevention's (CDC) Population Level Analysis and Community Estimates (PLACES) and other publicly available databases, we conducted an ecological study comparing correlations of different United States county-level SES, health care access and clinical risk factor measures with age-adjusted stroke prevalence. The prevalence of adults living below 150% of the federal poverty level most strongly correlated with stroke prevalence compared to other SES and non-SES measures (correlation coefficient = 0.908, R² = 0.825; adjusted partial correlation coefficient: 0.589, R² = 0.347). ANN NEUROL 2024;96:739–744

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来源期刊

Annals of Neurology 医学-临床神经学

CiteScore

18.00

自引率

1.80%

发文量

270

审稿时长

3-8 weeks

期刊介绍： Annals of Neurology publishes original articles with potential for high impact in understanding the pathogenesis, clinical and laboratory features, diagnosis, treatment, outcomes and science underlying diseases of the human nervous system. Articles should ideally be of broad interest to the academic neurological community rather than solely to subspecialists in a particular field. Studies involving experimental model system, including those in cell and organ cultures and animals, of direct translational relevance to the understanding of neurological disease are also encouraged.