严重 COVID 焦虑症的轨迹和 18 个月队列中的康复预测因素。

Jacob D King, Aisling McQuaid, Kirsten Barnicot, Paul Basett, Verity C Leeson, Martina Di Simplicio, Peter Tyrer, Helen Tyrer, Richard G Watt, Mike J Crawford
{"title":"严重 COVID 焦虑症的轨迹和 18 个月队列中的康复预测因素。","authors":"Jacob D King, Aisling McQuaid, Kirsten Barnicot, Paul Basett, Verity C Leeson, Martina Di Simplicio, Peter Tyrer, Helen Tyrer, Richard G Watt, Mike J Crawford","doi":"10.1101/2024.07.22.24310664","DOIUrl":null,"url":null,"abstract":"Background: People with severe COVID anxiety have significant fears of contagion, physiological symptoms of anxiety in response to a COVID stimuli, and employ safety behaviours which are often in excess of health guidelines and at the expense of other life priorities. The natural course of severe COVID anxiety is not known. Methods: This prospective cohort study followed 285 people with severe COVID anxiety in United Kingdom over 18-months. Descriptive statistics and linear regression models identified factors associated with change in COVID anxiety. Results: Most participants experienced major reductions in COVID anxiety over time (69.8% relative cohort mean decrease; p<0.001), but a quarter of people (23.7%, 95% CI 17.8 to 30.1) continued to worry about COVID every day. Increasing age, being from an ethnic background which conferred greater risk from COVID-19, and the persistence of high levels of health anxiety and depressive symptoms predicted significantly slower improvements in severe COVID anxiety adjusting for other clinical and demographic factors. Conclusions: For most people severe COVID anxiety significantly improves with time. However established interventions treating depression or health anxiety, and targeting older people and people from at-risk minority groups who appear to recover at slower rates, might be clinically indicated in future pandemics.","PeriodicalId":501388,"journal":{"name":"medRxiv - Psychiatry and Clinical Psychology","volume":"11 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Trajectory of severe COVID anxiety and predictors for recovery in an 18-month cohort.\",\"authors\":\"Jacob D King, Aisling McQuaid, Kirsten Barnicot, Paul Basett, Verity C Leeson, Martina Di Simplicio, Peter Tyrer, Helen Tyrer, Richard G Watt, Mike J Crawford\",\"doi\":\"10.1101/2024.07.22.24310664\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: People with severe COVID anxiety have significant fears of contagion, physiological symptoms of anxiety in response to a COVID stimuli, and employ safety behaviours which are often in excess of health guidelines and at the expense of other life priorities. The natural course of severe COVID anxiety is not known. Methods: This prospective cohort study followed 285 people with severe COVID anxiety in United Kingdom over 18-months. Descriptive statistics and linear regression models identified factors associated with change in COVID anxiety. Results: Most participants experienced major reductions in COVID anxiety over time (69.8% relative cohort mean decrease; p<0.001), but a quarter of people (23.7%, 95% CI 17.8 to 30.1) continued to worry about COVID every day. Increasing age, being from an ethnic background which conferred greater risk from COVID-19, and the persistence of high levels of health anxiety and depressive symptoms predicted significantly slower improvements in severe COVID anxiety adjusting for other clinical and demographic factors. Conclusions: For most people severe COVID anxiety significantly improves with time. However established interventions treating depression or health anxiety, and targeting older people and people from at-risk minority groups who appear to recover at slower rates, might be clinically indicated in future pandemics.\",\"PeriodicalId\":501388,\"journal\":{\"name\":\"medRxiv - Psychiatry and Clinical Psychology\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"medRxiv - Psychiatry and Clinical Psychology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1101/2024.07.22.24310664\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Psychiatry and Clinical Psychology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.07.22.24310664","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

背景:患有严重 COVID 焦虑症的人非常害怕传染,在受到 COVID 刺激时会出现焦虑的生理症状,并会采取安全措施,而这些措施往往超出了健康指南的要求,并以牺牲其他生活优先事项为代价。严重 COVID 焦虑症的自然病程尚不清楚。研究方法这项前瞻性队列研究对英国的 285 名严重 COVID 焦虑症患者进行了为期 18 个月的跟踪调查。通过描述性统计和线性回归模型确定了与 COVID 焦虑变化相关的因素。研究结果随着时间的推移,大多数参与者的 COVID 焦虑症都有显著减轻(69.8% 的相对队列平均降幅;p<0.001),但仍有四分之一的人(23.7%,95% CI 17.8 至 30.1)每天都在担心 COVID。年龄的增长、种族背景的增加会增加 COVID-19 的风险,以及高水平健康焦虑和抑郁症状的持续存在,都预示着在调整其他临床和人口学因素后,严重 COVID 焦虑症的改善速度会明显减慢。结论对于大多数人来说,严重 COVID 焦虑症会随着时间的推移而得到明显改善。然而,治疗抑郁或健康焦虑的既定干预措施,以及针对老年人和高危少数群体的干预措施可能适用于未来的大流行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Trajectory of severe COVID anxiety and predictors for recovery in an 18-month cohort.
Background: People with severe COVID anxiety have significant fears of contagion, physiological symptoms of anxiety in response to a COVID stimuli, and employ safety behaviours which are often in excess of health guidelines and at the expense of other life priorities. The natural course of severe COVID anxiety is not known. Methods: This prospective cohort study followed 285 people with severe COVID anxiety in United Kingdom over 18-months. Descriptive statistics and linear regression models identified factors associated with change in COVID anxiety. Results: Most participants experienced major reductions in COVID anxiety over time (69.8% relative cohort mean decrease; p<0.001), but a quarter of people (23.7%, 95% CI 17.8 to 30.1) continued to worry about COVID every day. Increasing age, being from an ethnic background which conferred greater risk from COVID-19, and the persistence of high levels of health anxiety and depressive symptoms predicted significantly slower improvements in severe COVID anxiety adjusting for other clinical and demographic factors. Conclusions: For most people severe COVID anxiety significantly improves with time. However established interventions treating depression or health anxiety, and targeting older people and people from at-risk minority groups who appear to recover at slower rates, might be clinically indicated in future pandemics.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Socio-medical Factors Associated with Neurodevelopmental Disorders on the Kenyan Coast Relationship between blood-cerebrospinal fluid barrier integrity, cardiometabolic and inflammatory factors in schizophrenia-spectrum disorders Whole-exome sequencing study of opioid dependence offers novel insights into the contributions of exome variants Mayo Normative Studies: regression-based normative data for remote self-administration of the Stricker Learning Span, Symbols Test and Mayo Test Drive Screening Battery Composite and validation in individuals with Mild Cognitive Impairment and dementia EEG frontal alpha asymmetry mediates the association between maternal and child internalizing symptoms in childhood
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1