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新冠疫情期间的疲劳 - 患病率和预测因素:一项前瞻性队列研究的结果。

Fatigue during the COVID-19 pandemic - prevalence and predictors: findings from a prospective cohort study.

机构信息

Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.

Centre for Academic Primary Care, School of Medicine, University of Nottingham, Nottingham, UK.

出版信息

Stress. 2024 Jan;27(1):2352117. doi: 10.1080/10253890.2024.2352117. Epub 2024 May 17.

Abstract

The COVID-19 pandemic and consequent lockdowns had a substantial impact on mental health. Distress and fatigue are highly correlated. However, little is known about the determinants of fatigue in the general population during the pandemic. This study aimed to examine the prevalence and predictors of fatigue during the COVID-19 pandemic in the UK population. Online surveys were completed by a UK community cohort in April 2020 (wave 1), July-September 2020 (wave 2) and November-December 2020 (wave 3). In total, 3097 participants completed the wave 1 survey, and 1385 and 1087 participants (85.4% women) completed wave 2 and 3 surveys respectively. Fatigue was assessed using the Chalder Fatigue Scale at waves 2 and 3. Hair samples were provided by 827 participants (90.6% women) at wave 1 and wave 2, which were analyzed to indicate HairE (stress hormone). The mean total fatigue score during wave 2 was 14.7 (SD = 4.7), significantly higher than pre-pandemic levels observed in the community (mean difference 0.50, = .003). At wave 2, 614 (44.3%) participants met the case definition for fatigue, only 15.6% of whom indicated that fatigue lasted for more than 6 months (suggesting it had started prior to the pandemic). Predictors of fatigue at wave 3 included being in a risk group, depression and belief in having COVID-19, which explained 23.8% of the variability in fatigue scores. Depression at wave 1 was the only significant predictor of remaining a fatigue case at wave 3. Fatigue was highly prevalent in the UK community during the COVID-19 pandemic and limited people's daily function. Depression and sociodemographic variables were significant predictors of fatigue.

摘要

COVID-19 大流行及其导致的封锁对心理健康产生了重大影响。压力和疲劳高度相关。然而,对于大流行期间普通人群疲劳的决定因素知之甚少。本研究旨在调查英国人群中 COVID-19 大流行期间疲劳的患病率和预测因素。2020 年 4 月(第 1 波)、7 月至 9 月(第 2 波)和 11 月至 12 月(第 3 波)期间,通过在线调查完成了对英国社区队列的调查。共有 3097 名参与者完成了第 1 波调查,1385 名和 1087 名参与者(85.4%为女性)分别完成了第 2 波和第 3 波调查。在第 2 波和第 3 波调查中,使用 Chalder 疲劳量表评估疲劳。第 1 波和第 2 波调查中有 827 名参与者(90.6%为女性)提供了头发样本,这些样本用于分析 HairE(应激激素)。第 2 波调查期间的平均总疲劳评分为 14.7(SD=4.7),明显高于社区大流行前观察到的水平(平均差异 0.50,p<.003)。第 2 波调查时,614 名(44.3%)参与者符合疲劳病例定义,其中只有 15.6%的人表示疲劳持续时间超过 6 个月(表明疲劳在大流行前就开始了)。第 3 波调查时疲劳的预测因素包括处于风险组、抑郁和相信自己感染了 COVID-19,这些因素解释了疲劳评分变异性的 23.8%。第 1 波调查时的抑郁是第 3 波调查时仍为疲劳病例的唯一显著预测因素。在 COVID-19 大流行期间,英国社区中疲劳的患病率很高,限制了人们的日常功能。抑郁和社会人口统计学变量是疲劳的显著预测因素。

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