Evidence map›Paper›PMID 33350047›Full record

ArticleGeriatrics & gerontology international2021

Cross-national comparison of social isolation and mortality among older adults: A 10-year follow-up study in Japan and England.

Masashige Saito, Jun Aida, Noriko Cable, Paola Zaninotto, Takaaki Ikeda, Taishi Tsuji, Shihoko Koyama, Taiji Noguchi, Ken Osaka, Katsunori Kondo

Abstract read
In one paragraph

Article in Geriatrics & gerontology international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

10 authors.

Masashige SaitoFaculty of Social Welfare, Nihon Fukushi University, Mihama, Japan.ORCID https://orcid.org/0000-0002-3997-3884
Jun AidaDepartment of Oral Health Promotion, Tokyo Medical and Dental University, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8405-9872
Noriko CableDepartment of Epidemiology and Public Health, University College London, London, UK.ORCID https://orcid.org/0000-0001-5478-1760
Paola ZaninottoDepartment of Epidemiology and Public Health, University College London, London, UK.ORCID https://orcid.org/0000-0003-3036-0499
Takaaki IkedaDepartment of Health Policy Science, Graduate School of Medical Science, Yamagata University, Yamagata, Japan.ORCID https://orcid.org/0000-0003-4325-4492
Taishi TsujiFaculty of Health and Sport Sciences, University of Tsukuba, Tokyo, Japan.ORCID https://orcid.org/0000-0002-8408-6619
Shihoko KoyamaCancer Control Center, Osaka International Cancer Institute, Osaka, Japan.ORCID https://orcid.org/0000-0002-7786-4910
Taiji NoguchiDepartment of Social Science, National Center for Geriatrics and Gerontology, Obu, Japan.ORCID https://orcid.org/0000-0001-9165-5501
Ken OsakaDepartment of International and Community Oral Health, Tohoku University Graduate School of Dentistry, Sendai, Japan.
Katsunori KondoCenter for Well-being and Society, Nihon Fukushi University, Mihama, Japan.

Funding

Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
Health Labour Sciences Research Grants H22-Choju-Shitei-008Health Labour Sciences Research Grants H24-Chikyukibo-Ippan-009Health Labour Sciences Research Grants H24-Choju-Wakate-009Health Labour Sciences Research Grants H24-Junkanki -Ippan-007Health Labour Sciences Research Grants H25-Choju-Ippan-003Health Labour Sciences Research Grants H25-Kenki-Wakate-015Health Labour Sciences Research Grants H26-Choju-Ippan-006Health Labour Sciences Research Grants H26-Irryo-Shitei-003Health Labour Sciences Research Grants H27-Ninchisyou-Ippan-001Health Labour Sciences Research Grants H28-Choju-Ippan-002Health Labour Sciences Research Grants H28-Ninchisho-Ippan-002Health Labour Sciences Research Grants H30-Junkankitou-Ippan-004Health Labour Sciences Research Grants H30-Kenki-Ippan-006Japan Agency for Medical Research and Development JP17dk0110017Japan Agency for Medical Research and Development JP18dk0110027Japan Agency for Medical Research and Development JP18le0110009Japan Agency for Medical Research and Development JP18ls0110002Japan Society for the Promotion of Science 18KK0057Japan Society for the Promotion of Science JP15H01972Japan Society for the Promotion of Science JP18390200Japan Society for the Promotion of Science JP22330172Japan Society for the Promotion of Science JP22390400Japan Society for the Promotion of Science JP23243070Japan Society for the Promotion of Science JP23590786Japan Society for the Promotion of Science JP23790710Japan Society for the Promotion of Science JP24390469Japan Society for the Promotion of Science JP24530698Japan Society for the Promotion of Science JP24683018Japan Society for the Promotion of Science JP25253052Japan Society for the Promotion of Science JP25870573Japan Society for the Promotion of Science JP25870881Japan Society for the Promotion of Science JP26285138Japan Society for the Promotion of Science JP26882010Ministry of Education, Culture, Sports, Science and Technology-Japan-Supported Program for the Strategic Research Foundation at Private Universities (2009-2013)NatCen Social Research. Funding is currently provided by the National Institute of Aging R01AG017644National Institute for Health ResearchNIA NIH HHS R01 AG017644Research Funding for Longevity Sciences from the National Center for Geriatrics and Gerontology 24-17Research Funding for Longevity Sciences from the National Center for Geriatrics and Gerontology 24-23Research Funding for Longevity Sciences from the National Center for Geriatrics and Gerontology 29-42University College London
6 · The paper itself

Abstract

aimExisting evidence links social isolation with poor health. To examine differences in the mortality risk by social isolation, and in socio-economic correlates of social isolation, we analyzed large-scale cohort studies in Japan and England.

methodsParticipants were drawn from the Japan Gerontological Evaluation Study (JAGES) and the English Longitudinal Study of Ageing (ELSA). We analyzed the 10-year mortality among 15 313 JAGES participants and 5124 ELSA respondents. Social isolation was measured by two scales, i.e., scoring the frequency of contact with close ties, and a composite measurement of social isolation risk. We calculated the population attributable fraction, and Cox regression models with multiple imputations were used to estimate hazard ratios (HRs) for mortality due to social isolation.

resultsThe proportion of those with contact frequency of less than once a month was 8.5% in JAGES and 1.3% in ELSA. Males, older people, those with poor self-rated health, and unmarried people were significantly associated with social isolation in both countries. Both scales showed that social isolation among older adults had a remarkably higher risk for premature death (less frequent contact with others in JAGES: hazard ratio [HR] = 1.18, 95% confidence interval [CI]: 1.05-1.33, in ELSA: HR = 1.27, 95% CI: 0.85-1.89; and high isolation risk score in JAGES: HR = 1.30, 95% CI: 1.12-1.50, in ELSA: HR = 2.05, 95% CI: 1.52-2.73). The population attributable fraction showed less frequent contact with close ties was attributed to about 18 000 premature deaths annually in Japan, in contrast with about 1800 in England.

conclusionsNegative health impacts of social isolation were higher among older Japanese compared with those in England. Geriatr Gerontol Int 2021; 21: 209-214.

Indexed as

Social IsolationAgedCohort StudiesFollow-Up StudiesHumansJapanLongitudinal StudiesMalecross-national comparative studymortalitypopulation attributable risksocial isolationsocial network

Identifiers

PMID33350047
PMCPMC7898799

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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.