Evidence map›Paper›PMID 39460501›Full record

ArticleNeuropsychopharmacology reports2024

Real-world predictors of severe psychological distress during the COVID-19 pandemic in Japan: Insights from a large-scale internet-based cohort study.

Keita Tokumitsu, Norio Sugawara, Takahiro Tabuchi, Norio Yasui-Furukori

Abstract read
In one paragraph

Article in Neuropsychopharmacology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Keita TokumitsuDepartment of Neuropsychiatry, Towada City Hospital, Towada, Japan.ORCID 0000-0001-6747-4348
Norio SugawaraDepartment of Psychiatry, Dokkyo Medical University School of Medicine, Mibu, Japan.ORCID 0000-0001-7058-664X
Takahiro TabuchiCancer Control Center, Osaka International Cancer Institute, Osaka, Japan.
Norio Yasui-FurukoriDepartment of Psychiatry, Dokkyo Medical University School of Medicine, Mibu, Japan.ORCID 0000-0002-4414-3770

Funding

Health Labor Sciences Research Grants 19FA1005Health Labor Sciences Research Grants 19FA1012Health Labor Sciences Research Grants 19FG2001Health Labor Sciences Research Grants 20EA1017Health Labor Sciences Research Grants 20F1005Health Labor Sciences Research Grants 20FA2001Health Labor Sciences Research Grants 21HA2016Health Labor Sciences Research Grants 22FA1001Health Labor Sciences Research Grants 22FA1002Health Labor Sciences Research Grants 22FA1005Health Labor Sciences Research Grants 22FA1010Health Labor Sciences Research Grants 22FA2001Health Labor Sciences Research Grants 23FA1004Japan Society for the Promotion of Science 19H01073Japan Society for the Promotion of Science 19H01074Japan Society for the Promotion of Science 19K13704Japan Society for the Promotion of Science 20H00040Japan Society for the Promotion of Science 20K10467Japan Society for the Promotion of Science 21H03203Japan Society for the Promotion of Science 21H04856JST Grant JPMJPF2017the intramural fund of the National Institute for Environmental Studiesthe Tokyo Foundation for Policy Research
6 · The paper itself

Abstract

aimThe COVID-19 pandemic has had negative physical and psychological impacts worldwide. However, there has been a lack of real-world evidence concerning the predictors of severe psychological distress (SPD) among the general population in Japan during the COVID-19 pandemic. The aim of this study was to examine predictors of SPD during the COVID-19 pandemic.

methodsWe investigated the predictors of new-onset SPD in the general Japanese population using data from a large-scale internet-based cohort study.

resultsWe included 16 489 study participants (age range = 16-81, mean age = 52.7, percentage of male = 50%) in the analysis. Over the course of 1 year from baseline, the estimated proportion of participants who experienced SPD was 5.2% with inverse probability weighting. The predictors of SPD included younger age, being never married, being unemployed, having a higher education background, scoring higher on the Fear of Coronavirus-19 Scale, experiencing more adverse childhood experiences, reporting poorer subjective health status, and COVID-19 with oxygen therapy. Our internet-based survey of the Japanese population may have selection bias, limiting the generalizability to other countries and cultures.

conclusionThis study revealed that being afflicted with COVID-19 requiring oxygen therapy is the most significant predictor of SPD. In addition, we found that vulnerability to social isolation, such as never being unmarried, anxiety toward COVID-19, and susceptibility to stress, are predictors of the emergence of SPD. Therefore, the implementation of online support systems and ensuring access to accurate information may protect against SPD during the COVID-19 pandemic in Japan.

Indexed as

COVID-19InternetPsychological DistressAdolescentAdultAgedAged, 80 and overCohort StudiesFemaleHumansJapanMaleMiddle AgedRisk FactorsSARS-CoV-2Stress, PsychologicalCOVID‐19general populationJapanpredictorspsychological distress

Identifiers

PMID39460501
PMCPMC11609732

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LicenceCC BY-NC-ND
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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.