Evidence map›Paper›PMID 41468915›Full record

ArticleJournal of Korean medical science2025

Potential Risk Factors for Lonely Death: A Nationwide Case-Control Study in Korea.

Hye Yeon Koo, Haibin Bai, Jae-Ryun Lee, Min Jung Kang, Young-Ho Jun, Jieun Yun, Jee Hoon Sohn, Jin Yong Lee, Hyejin Lee

Abstract read
In one paragraph

Article in Journal of Korean medical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Hye Yeon Koo *Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0002-0387-4278
Haibin Bai *Department of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0001-5387-3305
Jae-Ryun LeeInstitute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, Korea.ORCID https://orcid.org/0000-0001-6776-3406
Min Jung KangKorea Social Security Information Service, Support Center for Case Management Policy, Seoul, Korea.ORCID https://orcid.org/0009-0000-7145-8009
Young-Ho JunKorea Social Security Information Service, Support Center for Case Management Policy, Seoul, Korea.ORCID https://orcid.org/0009-0007-5199-7989
Jieun YunDepartment of Pharmaceutical Engineering, Cheongju University, Cheongju, Korea.ORCID https://orcid.org/0000-0002-4241-4274
Jee Hoon SohnPublic Healthcare Center, Seoul National University Hospital, Seoul, Korea.ORCID https://orcid.org/0000-0001-7206-460X
Jin Yong LeeDepartment of Health Policy and Management, Seoul National University College of Medicine, Seoul, Korea.ORCID https://orcid.org/0000-0002-7752-2697
Hyejin LeeDepartment of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID https://orcid.org/0000-0001-5279-340X

Funding

Ministry of Health and Welfare
6 · The paper itself

Abstract

backgroundLonely death, referred to the death of an individual at home alone and found after some time has elapsed, has emerged as a significant social issue in many countries. This study aimed to distinguish high-risk groups by comparing the characteristics of individuals who died of loneliness with those of the control group.

methodsThis case-control study was conducted using data from the Korea Crime Scene Investigation and National Health Insurance Service (NHIS) databases. We identified all lonely deaths that occurred in 2021 in Korea and sex- and age-matched controls were randomly selected from the NHIS database in a 1:3 ratio. Data on demographics, health conditions, and healthcare utilisation were analysed. Associations between lonely deaths and various factors were assessed using logistic regression.

resultsThis study included 3,122 lonely death cases and 9,493 controls. Individuals who experienced lonely death were more likely to be covered by medical aid, in the lowest income group, and have high (≥ 3) Charlson comorbidity index scores than the controls (30.8% vs. 4.0%, 54.5% vs. 19.2%, 14.5% vs. 8.6%, respectively). Furthermore, they exhibited a higher prevalence of chronic diseases (including diabetes and heart failure), mental health disorders (including schizophrenia and bipolar disorder), and alcohol-related diseases, along with more frequent healthcare utilisation. Most of these factors exhibited statistical or borderline significance in adjusted logistic regression analyses.

conclusionLonely death is associated with low income, multi-morbidity, underlying diseases, and frequent healthcare utilisation. Targeted intervention strategies that focus on these potentially high-risk populations may help prevent lonely deaths.

Indexed as

LonelinessAdultAgedCase-Control StudiesChronic DiseaseComorbidityDatabases, FactualFemaleHumansLogistic ModelsMaleMental DisordersMiddle AgedOdds RatioRepublic of KoreaRisk FactorsAlcohol-Related DisordersChronic DiseaseKoreaLonely DeathMental HealthPublic HealthSocial Isolation

Identifiers

PMID41468915
PMCPMC12748055

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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.