Suppr超能文献

美国 COVID-19 死亡病例的合并症、社会人口因素和健康决定因素。

Comorbidities, sociodemographic factors, and determinants of health on COVID-19 fatalities in the United States.

机构信息

Department of Biomedical Sciences, Rocky Vista University, Parker, CO, United States.

出版信息

Front Public Health. 2022 Nov 3;10:993662. doi: 10.3389/fpubh.2022.993662. eCollection 2022.

Abstract

Previous studies have evaluated comorbidities and sociodemographic factors individually or by type but not comprehensively. This study aims to analyze the influence of a wide variety of factors in a single study to better understand the big picture of their effects on case-fatalities. This cross-sectional study used county-level comorbidities, social determinants of health such as income and race, measures of preventive healthcare, age, education level, average household size, population density, and political voting patterns were all evaluated on a national and regional basis. Analysis was performed through Generalized Additive Models and adjusted by the COVID-19 Community Vulnerability Index (CCVI). Effect estimates of COVID-19 fatality rates for risk factors such as comorbidities, sociodemographic factors and determinant of health. Factors associated with reducing COVID-19 fatality rates were mostly sociodemographic factors such as age, education and income, and preventive health measures. Obesity, minimal leisurely activity, binge drinking, and higher rates of individuals taking high blood pressure medication were associated with increased case fatality rate in a county. Political leaning influenced case case-fatality rates. Regional trends showed contrasting effects where larger household size was protective in the Midwest, yet harmful in Northeast. Notably, higher rates of respiratory comorbidities such as asthma and chronic obstructive pulmonary disease (COPD) diagnosis were associated with reduced case-fatality rates in the Northeast. Increased rates of chronic kidney disease (CKD) within counties were often the strongest predictor of increased case-fatality rates for several regions. Our findings highlight the importance of considering the full context when evaluating contributing factors to case-fatality rates. The spectrum of factors identified in this study must be analyzed in the context of one another and not in isolation.

摘要

先前的研究已经分别评估了合并症和社会人口因素,或者按类型进行评估,但没有全面评估。本研究旨在通过单一研究分析各种因素的影响,以更好地了解它们对病死率的综合影响。这项横断面研究使用了县级合并症、收入和种族等健康社会决定因素、预防保健措施、年龄、教育水平、平均家庭规模、人口密度以及政治投票模式等指标,从国家和地区两个层面进行评估。分析通过广义加性模型进行,并通过 COVID-19 社区脆弱性指数 (CCVI) 进行调整。对 COVID-19 病死率的风险因素(如合并症、社会人口因素和健康决定因素)进行效应估计。与降低 COVID-19 病死率相关的因素主要是社会人口因素,如年龄、教育程度和收入,以及预防保健措施。肥胖、极少闲暇活动、狂饮和服用高血压药物的个体比例较高的县,与病死率增加相关。政治倾向影响病死率。区域趋势显示出相反的效果,即家庭规模较大在中西部地区具有保护作用,但在东北部地区则有害。值得注意的是,东北地区哮喘和慢性阻塞性肺疾病(COPD)等呼吸道合并症的诊断率较高与病死率降低相关。县内慢性肾脏病(CKD)发病率的升高通常是几个地区病死率升高的最强预测因素。我们的研究结果强调了在评估病死率的影响因素时,需要全面考虑整体情况。本研究中确定的因素范围必须相互分析,而不是孤立地分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/76b4/9669977/cab9832ea76a/fpubh-10-993662-g0001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验