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
{"title":"Correlations of Socioeconomic and Clinical Determinants with United States County-Level Stroke Prevalence","authors":"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","doi":"10.1002/ana.27039","DOIUrl":null,"url":null,"abstract":"<p>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, <i>R</i><sup>2</sup> = 0.825; adjusted partial correlation coefficient: 0.589, <i>R</i><sup>2</sup> = 0.347). ANN NEUROL 2024;96:739–744</p>","PeriodicalId":127,"journal":{"name":"Annals of Neurology","volume":null,"pages":null},"PeriodicalIF":8.1000,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ana.27039","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Neurology","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ana.27039","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
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
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
