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新冠疫情期间情绪症状学的演变:来自CovidSense纵向研究的发现

Evolution of Mood Symptomatology Through the COVID-19 Pandemic: Findings From the CovidSense Longitudinal Study.

作者信息

Moukaddam Nidal, Saragadam Vishwanath, Abbasi Mahsan, Barnett Matt, Kumar Vadathya Anil, Veeraraghavan Ashok, Sabharwal Ashutosh

机构信息

Menninger Department of Psychiatry, Baylor College of Medicine, Houston, USA.

Electrical & Computer Engineering, Rice University, Houston, USA.

出版信息

Cureus. 2022 Oct 3;14(10):e29876. doi: 10.7759/cureus.29876. eCollection 2022 Oct.

Abstract

Background The severe acute respiratory syndrome coronavirus 2 global pandemic, with its associated coronavirus disease 2019 (COVID-19) illness, has led to significant mental, physical, social, and economic hardships. Physical distancing, isolation, and fear of illness have significantly affected the mental health of people worldwide. Several studies have documented the cross-sectional elevated prevalence of mental anguish, but due to the sudden nature of the pandemic, very few longitudinal studies have been reported, especially covering the first phase of the pandemic. CovidSense, a longitudinal adaptive study, was initiated to answer some key questions: how did the pandemic and related social and economic conditions affect depression, which groups showed more vulnerability, and what protective factors emerged as the pandemic unfolded? Methodology CovidSense was deployed from April to December 2020. The adaptive design enabled adaption to fluctuating demographics/health status. Participants were regularly queried via SMS messages about their mental health, physical health, and life circumstances. The study included 1,190 participants who answered a total of 18,783 survey panels. This was a prospective longitudinal cohort study following adult participants in the general population through the COVID-19 pandemic. The participant cohort reported self-assessed measures ranging from subjective mood ratings and substance use to validated questionnaires, such as the Quick Inventory of Depressive Symptoms (QIDS) and Cognitive and Affective Mindfulness Scale-Revised (CAMS-R). Results Participants with pre-existing physical (especially pulmonary) or mental conditions had overall higher levels of depression, as measured by the QIDS and self-reported mood. Participants with pre-existing conditions also showed increased vulnerability to the stress caused by watching the news and the increase in COVID-19 cases. Younger participants (aged 18-25 years) were more affected than older groups. People with severe levels of depression had the most variation in QIDS scores, whereas individuals with none to low depressive scores had the most variability in self-reported mood fluctuations. Conclusions The effects of pandemic-related chronic stress were predominant in young adults and individuals with pre-existing mental and medical conditions regardless of whether they had acquired COVID-19 or not. These results point to the possibility of allocating preventive as well as treatment resources based on vulnerability.

摘要

背景 严重急性呼吸综合征冠状病毒2全球大流行及其相关的2019冠状病毒病(COVID-19)导致了重大的心理、身体、社会和经济困难。保持社交距离、隔离以及对疾病的恐惧严重影响了全球人民的心理健康。多项研究记录了心理痛苦的横断面患病率升高,但由于大流行的突发性,很少有纵向研究报告,尤其是涵盖大流行第一阶段的研究。“新冠感知”(CovidSense)是一项纵向适应性研究,旨在回答一些关键问题:大流行以及相关的社会和经济状况如何影响抑郁症,哪些群体表现出更高的易感性,以及随着大流行的发展出现了哪些保护因素?

方法 “新冠感知”于2020年4月至12月开展。适应性设计使其能够适应不断变化的人口统计学/健康状况。通过短信定期询问参与者的心理健康、身体健康和生活状况。该研究包括1190名参与者,他们总共回答了18783个调查板块。这是一项前瞻性纵向队列研究,在COVID-19大流行期间跟踪一般人群中的成年参与者。参与者队列报告了从主观情绪评分和物质使用到经过验证的问卷(如抑郁症状快速量表(QIDS)和修订后的认知与情感正念量表(CAMS-R))等自我评估措施。

结果 患有既往身体(尤其是肺部)或精神疾病的参与者,通过QIDS和自我报告的情绪测量,总体上有更高水平的抑郁。患有既往疾病的参与者也表现出更容易受到观看新闻和COVID-19病例增加所造成压力的影响。较年轻的参与者(18至25岁)比较年长的群体受到的影响更大。抑郁症严重程度高的人群在QIDS评分上的变化最大,而抑郁评分无至低的个体在自我报告的情绪波动上变化最大。

结论 与大流行相关的慢性压力的影响在年轻人以及患有既往精神和医疗疾病的个体中最为显著,无论他们是否感染了COVID-19。这些结果表明有可能根据易感性分配预防和治疗资源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd5e/9529234/72583f145a0c/cureus-0014-00000029876-i01.jpg

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