农村、潜在心血管疾病和社会经济脆弱性对格鲁吉亚COVID-19结局的影响

M. Morgan, L. Atri, J. Waller, Douglas Miller, A. Berman
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引用次数: 0

摘要

背景:新冠肺炎相关疾病与心血管疾病后遗症患病率增加和社会经济变量恶化有关。我们试图调查新冠肺炎结果、潜在心血管疾病和佐治亚州农村和非农村县健康的社会经济决定因素之间的关系。方法:从包括疾病控制和预防中心的社会脆弱性指数在内的公开数据库中获取新冠肺炎、人口统计和社会经济数据。截至2020年8月初,在佐治亚州县级使用单变量和多变量泊松回归模型评估了新冠肺炎结果与心血管疾病负担、农村和社会经济健康决定因素标志物之间的关系。结果:在调整后的模型中,新冠肺炎发病率在非农村乔治亚州县的居民中显著较高,而我们观察到,在农村和非农村乔治亚县的居民之间,新冠肺炎病死率没有显着差异。发现新冠肺炎累计病死率风险与近期卒中死亡率之间存在显著的不良关联,而历史上冠心病死亡率较高的县新冠肺炎累计病死率的风险比显著较低。此外,社会和经济脆弱性指数恶化的乔治亚州各县新冠肺炎发病率和病死率的风险比显著较高。结论:在佐治亚州,新冠肺炎发病率与非农村县的状况呈负相关,而发病率和病死率均与心血管疾病结果的历史指标和较高的社会脆弱性有关。在格鲁吉亚,缓解新冠肺炎传播和改善新冠肺炎结果的努力可能需要进一步关注这些最脆弱的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of Rurality, Underlying Cardiovascular Disease, and Socioeconomic Vulnerability on COVID-19 Outcomes in Georgia
Background: COVID-19 related illnesses have been associated with an increased prevalence of cardiovascular disease sequelae and worsened socioeconomic variables. We sought to investigate the relationship between COVID-19 outcomes, underlying cardiovascular disease, and socioeconomic determinants of health in rural and non-rural counties in the state of Georgia. Methods: COVID-19, demographic, and socioeconomic data were acquired from publicly available databases including the Centers for Disease Control and Prevention’s Social Vulnerability Index. The relationship between COVID-19 outcomes and markers of cardiovascular disease burden, rurality, and socioeconomic determinants of health was assessed at the county level in Georgia through the beginning of August 2020 using univariable and multivariable Poisson regression modeling. Results: In adjusted models, the risk of COVID-19 incidence was significantly higher in residents of non-rural Georgia counties while we observed no significant difference in COVID-19 case-fatality rates between residents of rural and non-rural Georgia counties. A significant adverse association between risk of COVID-19 cumulative case-fatality rates and recent mortality rates of stroke was detected, while counties with historically higher coronary heart disease death rates demonstrated significantly lower risk ratio of COVID-19 cumulative case-fatality rates. Additionally, Georgia counties with worsened indices of social and economic vulnerability demonstrated significantly higher risk ratio of COVID-19 incidence and case-fatality rates. Conclusions: In Georgia, COVID-19 incidence is adversely associated with non-rural county status, while both incidence and case-fatality rates are associated with historical indices of cardiovascular disease outcomes and higher social vulnerability. Efforts to mitigate COVID-19 spread and improve COVID-19 outcomes in Georgia may require additional focus on these most vulnerable areas.
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