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与长新冠相关的因素:两项全国性调查的启示。

Factors Associated With Long COVID: Insights From Two Nationwide Surveys.

机构信息

Department of Biostatistics, Yale School of Public Health, New Haven, CT; Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT.

Center for Outcomes Research and Evaluation, Yale New Haven Hospital, New Haven, CT; Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT.

出版信息

Am J Med. 2024 Jun;137(6):515-519. doi: 10.1016/j.amjmed.2024.02.032. Epub 2024 Mar 14.

Abstract

BACKGROUND

Long COVID is a multisystemic condition that affects the lives of millions of people globally, yet factors associated with it are poorly defined. Our purpose in this study was to identify factors associated with long COVID.

METHODS

This cross-sectional study used data from the 2022 Behavioral Risk Factor Surveillance System (BRFSS) and the 2022 National Health Interview Survey (NHIS). We restricted the sample to individuals aged 18 and older who reported a positive COVID-19 test or doctor's diagnosis. Individuals who reported symptoms of at least 3 months were assumed to have long COVID. We identified demographic and clinical characteristics associated with long COVID, in unadjusted and adjusted analyses.

RESULTS

The study included 124,313 individuals in the BRFSS cohort and 10,131 in the NHIS cohort who reported a COVID-19 infection, with 26,783 (21.5%) and 1797 (17.7%) reporting long COVID, respectively. We found middle age, female sex, lack of a college degree, and severity of acute COVID-19 infection to be associated with long COVID. In contrast, non-Hispanic Asian and Black Americans were less likely to report long COVID compared with non-Hispanic White individuals. These findings were consistent across datasets.

CONCLUSIONS

Several demographic features were associated with long COVID, which may be the result of social, clinical, or biological influences.

摘要

背景

长新冠是一种影响着全球数百万人生活的多系统疾病,但与之相关的因素尚未得到明确界定。我们在这项研究中的目的是确定与长新冠相关的因素。

方法

本横断面研究使用了 2022 年行为风险因素监测系统(BRFSS)和 2022 年国家健康访谈调查(NHIS)的数据。我们将样本限制在报告新冠病毒检测阳性或医生诊断为新冠病毒的 18 岁及以上人群。报告至少有 3 个月症状的个体被假定为患有长新冠。我们在未调整和调整分析中确定了与长新冠相关的人口统计学和临床特征。

结果

BRFSS 队列中有 124313 人,NHIS 队列中有 10131 人报告了新冠病毒感染,分别有 26783(21.5%)和 1797(17.7%)人报告了长新冠。我们发现,中年、女性、没有大学学历以及急性新冠病毒感染的严重程度与长新冠相关。相比之下,非西班牙裔亚裔和非西班牙裔黑人群体报告长新冠的可能性低于非西班牙裔白人。这些发现与两个数据集一致。

结论

几个人口统计学特征与长新冠相关,这可能是社会、临床或生物学因素的结果。

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