Evidence map›Paper›PMID 34759293›Full record

ArticleTranslational psychiatry2021

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.

Taiki Oka, Takatomi Kubo, Nao Kobayashi, Fumiya Nakai, Yuka Miyake, Toshitaka Hamamura, Masaru Honjo, Hiroyuki Toda, Shuken Boku, Tetsufumi Kanazawa and 5 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 2 countries.

Taiki OkaThe Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Takatomi KuboThe Department of Brain robot interface, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.ORCID http://orcid.org/0000-0003-0192-7177
Nao KobayashiCollaborative AI Laboratory, KDDI Research, Inc., Fujimino, Japan.
Fumiya NakaiThe Department of Computational Brain Imaging, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.
Yuka MiyakeTechnology Affairs Department, Technology Strategy Division, KDDI CORPORATION, Tokyo, Japan.
Toshitaka HamamuraHealthcare Medical Group, Future Design Division 2, KDDI Research Atelier, KDDI Research, Inc., Fujimino, Japan.
Masaru HonjoHealthcare Medical Group, Future Design Division 2, KDDI Research Atelier, KDDI Research, Inc., Fujimino, Japan.
Hiroyuki TodaThe Department of Psychiatry, National Defense Medical College, Tokorozawa, Japan.
Shuken BokuDepartment of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Tetsufumi KanazawaThe Department of Neuropsychiatry, Osaka Medical and Pharmaceutical University, Osaka, Japan.
Masanori NagamineDivision of Behavioral Science, National Defense Medical College Research Institute, Tokorozawa, Japan.
Aurelio CorteseThe Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.ORCID http://orcid.org/0000-0003-4567-0924
Minoru TakebayashiDepartment of Neuropsychiatry, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan.
Mitsuo KawatoThe Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan.ORCID http://orcid.org/0000-0001-8185-1197
Toshinori ChibaThe Department of Decoded Neurofeedback, Computational Neuroscience Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan. t.chiba0906@gmail.com.ORCID http://orcid.org/0000-0002-2173-4519
Advanced Telecommunications Research Institute International · JPKDDI Research (Japan) · JPKumamoto University · JPNational Defense Medical College · JPFlorey Institute of Neuroscience and Mental Health · AUJapan Society for the Promotion of Science · JPKDDI (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19PandemicsDepressionFemaleHumansJapanSARS-CoV-2

Identifiers

PMID34759293
PMCPMC8581018
OpenAlexW3214029182

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.