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ArticleSocial psychiatry and psychiatric epidemiology2025

Exploring the association of social isolation and loneliness on the experience of COVID-19 infection and hospitalization in the Japanese population: the JACSIS study.

Hiroshi Murayama, Takumi Suda, Isuzu Nakamoto, Takahiro Tabuchi

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In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2025. 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
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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Observational
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4 · The record

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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.

Hiroshi MurayamaResearch Team for Social Participation and Healthy Aging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan. murayama@tmig.or.jp.ORCID http://orcid.org/0000-0003-2991-7763
Takumi SudaResearch Team for Social Participation and Healthy Aging, Tokyo Metropolitan Institute for Geriatrics and Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.ORCID http://orcid.org/0000-0003-0670-524X
Isuzu NakamotoThe Tokyo Metropolitan Support Center for Preventative Long-term and Frail Elderly Care, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.ORCID http://orcid.org/0000-0002-4760-1167
Takahiro TabuchiGraduate School of Medicine, Tohoku University, Miyagi, Japan.ORCID http://orcid.org/0000-0002-1050-3125

Funding

Japan Society for the Promotion of Science 17H03589, 18H03062, 18H03107, 19K10446, 19K10671, 20K10467, 20K13721, 20K19633, and 21H04856
6 · The paper itself

Abstract

purposeSocial isolation and loneliness have been long-standing public health concerns, and the coronavirus disease 2019 (COVID-19) pandemic has exacerbated these issues. Therefore, this study aimed to investigate the associations of social isolation and loneliness during the pandemic with experience of COVID-19 infection and hospitalization in the Japanese population.

methodsData were sourced from the Japan COVID-19 and Society Internet Survey (JACSIS), a large-scale, web-based national survey of individuals aged 15-79. This study used JACSIS data from 2020 to 2022, representing the first and third years of the pandemic. Social isolation was measured by the frequency of direct and indirect contact with people other than co-residing family members. Loneliness was evaluated using the UCLA Loneliness Scale, while COVID-19 infection and hospitalization were self-reported.

resultsA total of 13,612 individuals were included, of whom 1.5% had experienced hospital admission due to COVID-19, and 9.3% were infected but not hospitalized. Social isolation was inversely associated with COVID-19 infection risk (odds ratio = 0.77; 95% confidence interval: 0.66-0.90), while a higher level of loneliness was related to hospitalization (odds ratio = 2.21; 95% confidence interval: 1.59-3.09). Sex-stratified analyses revealed stronger associations in men than women.

conclusionThis study highlights the complex relationship between psychosocial factors and infectious disease outcomes, underscoring the need for comprehensive approaches to address the multifaceted challenges posed by global health crises.

Indexed as

COVID-19East Asian PeopleHospitalizationLonelinessSocial IsolationAdolescentAdultAgedFemaleHumansJapanMaleMiddle AgedSurveys and QuestionnairesYoung AdultCOVID-19HospitalizationInfectionJapanLonelinessSocial isolation

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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.