Evidence map›Paper›PMID 34545110›Full record

ArticleScientific reports2021

Loneliness, social isolation, and pain following the COVID-19 outbreak: data from a nationwide internet survey in Japan.

Keiko Yamada, Kenta Wakaizumi, Yasuhiko Kubota, Hiroshi Murayama, Takahiro Tabuchi

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
–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

38 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. COVID-19 Pandemic Increases the Impact of Low Back Pain: A Systematic Review and Metanalysis.International journal of environmental research and public health · 2022
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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

5 authors.

Keiko YamadaDepartment of Psychology, McGill University, 2001 McGill College Avenue, Montreal, QC, H3A 1G1, Canada. keiko-yamada@umin.org.ORCID 0000-0002-4378-3290
Kenta WakaizumiDepartment of Anesthesiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan.ORCID 0000-0003-4884-6251
Yasuhiko KubotaOsaka Center for Cancer and Cardiovascular Diseases Prevention, 1-6-107 Morinomiya, Jyoto-ku, Osaka, 536-8588, Japan.ORCID 0000-0002-3270-2176
Hiroshi MurayamaResearch Team for Social Participation and Community Health, Tokyo Metropolitan Institute of Gerontology, 35-2 Sakae-cho, Itabashi-ku, Tokyo, 173-0015, Japan.ORCID 0000-0003-2991-7763
Takahiro TabuchiCancer Control Center, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan.ORCID 0000-0002-1050-3125

Funding

Japan Society for the Promotion of Science the JSPS Overseas Research Fellowships (Grant ID was not available)
6 · The paper itself

Abstract

The aim of cross-sectional study was to investigate the association between loneliness, increased social isolation, and pain following the COVID-19 outbreak. A total of 25,482 participants, aged 15-79 years, were assessed using an internet survey; the University of California, Los Angeles Loneliness Scale (Version 3), Short Form 3-item (UCLA-LS3-SF3) was used to assess loneliness, and a modified item of the UCLA-LS3-SF3 was used to measure the perception of increased social isolation during the pandemic. The outcome measures included the prevalence/incidence of pain (i.e., headache, neck or shoulder pain, upper limb pain, low back pain, and leg pain), pain intensity, and the prevalence of past/present chronic pain. Pain intensity was measured by the pain/discomfort item of the 5-level version of the EuroQol 5 Dimension scale. Odds ratios of pain prevalence/incidence and past/present chronic pain prevalence according to the UCLA-LS3-SF3 scoring groups (tertiles) and the frequency of the perceived increase in social isolation (categories 1-5) were calculated using multinomial logistic regression analysis. The mean pain intensity values among different loneliness and social isolation levels were tested using an analysis of covariance. Increased loneliness and the severity of the perceived social isolation were positively associated with the prevalence/incidence of pain, pain intensity, and the prevalence of past/present chronic pain.

Indexed as

Disease OutbreaksInternetLonelinessSocial IsolationSurveys and QuestionnairesAdolescentAdultAgedChronic PainCOVID-19FemaleHumansIncidenceJapanMaleMiddle Aged

Identifiers

PMID34545110
PMCPMC8452720

What OpenQuestion holds

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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.