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从 COVID-19 大流行前到一年后对多维精神状态的多次时间测量:对日本人口的纵向在线调查。

Multiple time measurements of multidimensional psychiatric states from immediately before the COVID-19 pandemic to one year later: a longitudinal online survey of the Japanese population.

机构信息

The Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.

Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.

出版信息

Transl Psychiatry. 2021 Nov 11;11(1):573. doi: 10.1038/s41398-021-01696-x.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic has profoundly affected the mental health of both infected and uninfected people. Although most psychiatric disorders have highly overlapping genetic and pathogenic backgrounds, most studies investigating the impact of the pandemic have examined only single psychiatric disorders. It is necessary to examine longitudinal trajectories of factors that modulate psychiatric states across multiple dimensions. About 2274 Japanese citizens participated in online surveys presented in December 2019 (before the pandemic), August 2020, Dec 2020, and April 2021. These surveys included nine questionnaires on psychiatric symptoms, such as depression and anxiety. Multidimensional psychiatric time-series data were then decomposed into four principal components. We used generalized linear models to identify modulating factors for the effects of the pandemic on these components. The four principal components can be interpreted as a general psychiatric burden, social withdrawal, alcohol-related problems, and depression/anxiety. Principal components associated with general psychiatric burden and depression/anxiety peaked during the initial phase of the pandemic. They were further exacerbated by the economic burden the pandemic imposed. In contrast, principal components associated with social withdrawal showed a delayed peak, with human relationships as an important risk modulating factor. In addition, being female was a risk factor shared across all components. Our results show that COVID-19 has imposed a large and varied burden on the Japanese population since the commencement of the pandemic. Although components related to the general psychiatric burden remained elevated, peak intensities differed between components related to depression/anxiety and those related to social withdrawal. These results underline the importance of using flexible monitoring and mitigation strategies for mental problems, according to the phase of the pandemic.

摘要

2019 年冠状病毒病(COVID-19)大流行深刻影响了感染者和未感染者的心理健康。虽然大多数精神疾病具有高度重叠的遗传和发病基础,但大多数研究大流行影响的研究仅检查了单一的精神疾病。有必要检查调节多种维度精神状态的因素的纵向轨迹。约 2274 名日本公民参加了 2019 年 12 月(大流行前)、2020 年 8 月、2020 年 12 月和 2021 年 4 月进行的在线调查。这些调查包括九个关于抑郁和焦虑等精神症状的问卷。多维精神时间序列数据随后被分解为四个主要成分。我们使用广义线性模型来确定调节大流行对这些成分影响的因素。四个主要成分可以解释为一般精神负担、社会退缩、与酒精相关的问题和抑郁/焦虑。与一般精神负担和抑郁/焦虑相关的主要成分在大流行的初始阶段达到峰值。大流行造成的经济负担进一步加剧了这一情况。相比之下,与社会退缩相关的主要成分表现出延迟的峰值,人际关系是一个重要的风险调节因素。此外,女性是所有成分共有的危险因素。我们的结果表明,自大流行开始以来,COVID-19 给日本人口带来了巨大且多样的负担。尽管与一般精神负担相关的成分仍然升高,但与抑郁/焦虑相关的成分和与社会退缩相关的成分的峰值强度不同。这些结果强调了根据大流行阶段使用灵活的监测和缓解策略来解决精神问题的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e16/8581018/e0829190461c/41398_2021_1696_Fig1_HTML.jpg

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