{"title":"COVID-19 大流行期间的疲劳--流行程度和预测因素:一项前瞻性队列研究的结果。","authors":"Michail Kalfas, Kieran Ayling, Ru Jia, Carol Coupland, Kavita Vedhara, Trudie Chalder","doi":"10.1080/10253890.2024.2352117","DOIUrl":null,"url":null,"abstract":"<p><p>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, <i>p</i> = .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.</p>","PeriodicalId":51173,"journal":{"name":"Stress-The International Journal on the Biology of Stress","volume":"27 1","pages":"2352117"},"PeriodicalIF":2.6000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fatigue during the COVID-19 pandemic - prevalence and predictors: findings from a prospective cohort study.\",\"authors\":\"Michail Kalfas, Kieran Ayling, Ru Jia, Carol Coupland, Kavita Vedhara, Trudie Chalder\",\"doi\":\"10.1080/10253890.2024.2352117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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, <i>p</i> = .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.</p>\",\"PeriodicalId\":51173,\"journal\":{\"name\":\"Stress-The International Journal on the Biology of Stress\",\"volume\":\"27 1\",\"pages\":\"2352117\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2024-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Stress-The International Journal on the Biology of Stress\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1080/10253890.2024.2352117\",\"RegionNum\":4,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/5/17 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q2\",\"JCRName\":\"BEHAVIORAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stress-The International Journal on the Biology of Stress","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1080/10253890.2024.2352117","RegionNum":4,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/5/17 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"BEHAVIORAL SCIENCES","Score":null,"Total":0}
Fatigue during the COVID-19 pandemic - prevalence and predictors: findings from a prospective cohort study.
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, p = .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.
期刊介绍:
The journal Stress aims to provide scientists involved in stress research with the possibility of reading a more integrated view of the field. Peer reviewed papers, invited reviews and short communications will deal with interdisciplinary aspects of stress in terms of: the mechanisms of stressful stimulation, including within and between individuals; the physiological and behavioural responses to stress, and their regulation, in both the short and long term; adaptive mechanisms, coping strategies and the pathological consequences of stress.
Stress will publish the latest developments in physiology, neurobiology, molecular biology, genetics research, immunology, and behavioural studies as they impact on the understanding of stress and its adverse consequences and their amelioration.
Specific approaches may include transgenic/knockout animals, developmental/programming studies, electrophysiology, histochemistry, neurochemistry, neuropharmacology, neuroanatomy, neuroimaging, endocrinology, autonomic physiology, immunology, chronic pain, ethological and other behavioural studies and clinical measures.