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全国数字心理健康服务患者中长新冠的流行率和预测因素。

Prevalence and Predictors of Long COVID in Patients Accessing a National Digital Mental Health Service.

机构信息

MindSpot Clinic, MQ Health, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW 2109, Australia.

出版信息

Int J Environ Res Public Health. 2023 Sep 13;20(18):6756. doi: 10.3390/ijerph20186756.

Abstract

MindSpot is a national mental health service that provides assessments and treatment to Australian adults online or via telephone. Since the start of 2020, questions related to the mental health impacts of COVID-19 have been routinely administered. The objective of the current study is to report the prevalence and predictors of self-reported "long COVID" in patients completing an assessment at the MindSpot Clinic between 5 September 2022 and 7 May 2023 ( = 17,909). Consistent with the World Health Organization definition, we defined long COVID as the occurrence of ongoing physical or mental health symptoms three months after a COVID-19 infection. We conducted a descriptive univariate analysis of patients who reported: no COVID-19 diagnosis ( = 6151); a current or recent (within 3 months) COVID-19 infection ( = 2417); no symptoms three months post-COVID-19 infection ( = 7468); or COVID-related symptoms at least three months post-infection (n = 1873). Multivariate logistic regression was then used to compare patients with and without symptoms three months post-COVID to identify potential predictors for long COVID. The prevalence of long COVID was 10% of the total sample (1873/17909). Patients reporting symptoms associated with long COVID were older, more likely to be female, and more likely to be depressed and report a reduced ability to perform their usual tasks. Sociodemographic factors, including cultural background, education, and employment, were examined. These results provide evidence of the significant prevalence of symptoms of long COVID in people using a national digital mental health service. Reporting outcomes in an Australian context and in specific sub-populations is important for public health planning and for supporting patients.

摘要

MindSpot 是一家全国性的心理健康服务机构,通过在线或电话为澳大利亚成年人提供评估和治疗。自 2020 年初以来,一直定期进行与 COVID-19 对心理健康影响相关的问题调查。本研究的目的是报告在 2022 年 9 月 5 日至 2023 年 5 月 7 日期间在 MindSpot 诊所接受评估的患者中自我报告的“长新冠”的患病率和预测因素(=17909)。根据世界卫生组织的定义,我们将长新冠定义为 COVID-19 感染后三个月持续出现身体或精神健康症状。我们对报告以下情况的患者进行了描述性单变量分析:没有 COVID-19 诊断(=6151);当前或近期(3 个月内) COVID-19 感染(=2417);COVID-19 感染后三个月无症状(=7468);或 COVID 相关症状至少在感染后三个月(n=1873)。然后使用多变量逻辑回归比较 COVID 后三个月有症状和无症状的患者,以确定长新冠的潜在预测因素。总样本(17909 例)中长新冠的患病率为 10%(1873/17909)。报告与长新冠相关症状的患者年龄较大,更可能为女性,更可能抑郁,并报告执行日常任务的能力下降。还检查了社会人口因素,包括文化背景、教育和就业。这些结果表明,在使用全国性数字心理健康服务的人群中,长新冠症状的患病率很高。在澳大利亚背景下和特定亚人群中报告结果对于公共卫生规划和支持患者非常重要。

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