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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.
Oka, Taiki; Kubo, Takatomi; Kobayashi, Nao; Nakai, Fumiya; Miyake, Yuka; Hamamura, Toshitaka; Honjo, Masaru; Toda, Hiroyuki; Boku, Shuken; Kanazawa, Tetsufumi; Nagamine, Masanori; Cortese, Aurelio; Takebayashi, Minoru; Kawato, Mitsuo; Chiba, Toshinori.
  • Oka T; The Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.
  • Kubo T; Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
  • Kobayashi N; The Department of Brain robot interface, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.
  • Nakai F; Collaborative AI Laboratory, KDDI Research, Inc., Fujimino, Japan.
  • Miyake Y; The Department of Computational Brain Imaging, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.
  • Hamamura T; Mathematical Informatics Laboratory, Nara Institute of Science and Technology (NAIST), Kyoto, Japan.
  • Honjo M; Technology Affairs Department, Technology Strategy Division, KDDI CORPORATION, Tokyo, Japan.
  • Toda H; Healthcare Medical Group, Future Design Division 2, KDDI Research Atelier, KDDI Research, Inc., Fujimino, Japan.
  • Boku S; Japan Society for the Promotion of Science, Tokyo, Japan.
  • Kanazawa T; Healthcare Medical Group, Future Design Division 2, KDDI Research Atelier, KDDI Research, Inc., Fujimino, Japan.
  • Nagamine M; The Department of Psychiatry, National Defense Medical College, Tokorozawa, Japan.
  • Cortese A; Department of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
  • Takebayashi M; The Department of Neuropsychiatry, Osaka Medical and Pharmaceutical University, Osaka, Japan.
  • Kawato M; The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia.
  • Chiba T; Division of Behavioral Science, National Defense Medical College Research Institute, Tokorozawa, Japan.
Transl Psychiatry ; 11(1): 573, 2021 11 11.
Article in English | MEDLINE | ID: covidwho-1510584
Preprint
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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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Risk factors Limits: Female / Humans Country/Region as subject: Asia Language: English Journal: Transl Psychiatry Year: 2021 Document Type: Article Affiliation country: S41398-021-01696-x

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pandemics / COVID-19 Type of study: Observational study / Prognostic study / Risk factors Limits: Female / Humans Country/Region as subject: Asia Language: English Journal: Transl Psychiatry Year: 2021 Document Type: Article Affiliation country: S41398-021-01696-x