Evidence map›Paper›PMID 41112682›Full record

ArticleThe Lancet regional health. Western Pacific2025

Sociodemographic heterogeneity in the association between social isolation and all-cause mortality among Japanese older adults: JAGES longitudinal panel study.

Frances Rom Lunar, Naoki Kondo, Yukiko Honda, Atsushi Nakagomi, Toshiaki Komura, Kosuke Inoue, Koichiro Shiba

Abstract read
In one paragraph

Article in The Lancet regional health. Western Pacific, 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
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

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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
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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

7 authors.

Frances Rom LunarDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Naoki KondoDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Yukiko HondaDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Atsushi NakagomiDepartment of Social Preventive Medical Sciences, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Toshiaki KomuraDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kosuke InoueDepartment of Social Epidemiology, Graduate School of Medicine and School of Public Health, Kyoto University, Kyoto, Japan.
Koichiro ShibaDepartment of Epidemiology, Boston University School of Public Health, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Social isolation has been linked to higher mortality; however, it remains unknown how this association varies across individuals and social groups. Methods: We used a nationwide cohort study of ∼20,000 older adults with a 9·4-year follow-up period (Japan Gerontological Evaluation Study, 2013-2022), adjusting for 60 pre-baseline covariates. We also used a national insurance database to ascertain 4299 all-cause deaths. Using a causal machine-learning method, we estimated the heterogeneous association between social isolation and mortality. Findings: Social isolation was more prevalent among those with lower education and income and associated on average with 69·5-day shorter survival time (restricted mean survival time [RMST] difference; 95% CI: -111, -28·4). There was evidence of heterogeneity where social isolation was associated with even shorter survival days in some subgroups (e.g., -205 days among the bottom quintile of the estimated RMST differences [95% CI: -321, -87·8]). These subgroups tended to be older, men, and have lower education. The adverse association of social isolation and mortality was particularly stronger when lower education was combined with higher income, especially among women. Individuals with lower levels of education accounted for a larger share of deaths attributable to social isolation (58·5% of excess deaths). Interpretation: Social isolation may be more harmful among those from socially disadvantaged backgrounds, and a combination of some characteristics can synergistically amplify its effects on mortality. Proper population-level interventions informed with the evidence of effect heterogeneity might not only improve health on average but also mitigate existing health disparities. Funding: Japan Society for the Promotion of Science, Health Labour Sciences Research Grants, Research Funding for Longevity Sciences from the National Center for Geriatrics and Gerontology, Research Institute of Science and Technology from the Japan Science and Technology, Japan Health Promotion & Fitness Foundation, Department of Active Ageing, Niigata University Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University Priority Research Areas Grant and National Research Institute for Earth Science and Disaster Resilience.

Indexed as

Causal survival forestHeterogeneityHeterogeneous effectsMachine learningMortalityOlder adultsSocial isolationSurvival

Identifiers

PMID41112682
PMCPMC12528936

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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.