Evidence map›Paper›PMID 41495327›Full record

ArticleScientific reports2026

Cluster-derived profiles of suicidal ideation and quality of life among older adults living alone in South Korea.

Hyun Woo Jung, Do Yeon Kim, Ji Young Jung, Ilju Lee, Ok Kim, Seungjin Lee, Sujin Lee, Un Sun Chung, Jae-Hyun Kim, Kwang -Soo Lee and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Hyun Woo JungDigital Mental Health Innovation Center, Dankook University, Cheonan-si, Republic of Korea.
Do Yeon KimDepartment of Psychotherapy, Undergraduate Program, Dankook University, Cheonan-si, Republic of Korea.
Ji Young JungDepartment of Psychotherapy, Undergraduate Program, Dankook University, Cheonan-si, Republic of Korea.
Ilju LeeDigital Mental Health Innovation Center, Dankook University, Cheonan-si, Republic of Korea.
Ok KimDigital Mental Health Innovation Center, Dankook University, Cheonan-si, Republic of Korea.
Seungjin LeeDepartment of Medical Laser, Graduate School of Medicine, Dankook University, Cheonan-si, 31116, Republic of Korea.
Sujin LeeDepartment of Medical Laser, Graduate School of Medicine, Dankook University, Cheonan-si, 31116, Republic of Korea.
Un Sun ChungDepartment of Psychiatry, School of Medicine, Kyungpook National University, Daegu-si, Republic of Korea.
Jae-Hyun KimDepartment of Health Administration, College of Health Science, Dankook University, Cheonan-si, 31116, Republic of Korea.
Kwang -Soo LeeDepartment of Health Administration, Graduate School·BK21 Graduate Program of Developing Global Experts in Health Policy and Management, Yonsei University, Wonju, Republic of Korea.
Jung Jae LeeDigital Mental Health Innovation Center, Dankook University, Cheonan-si, Republic of Korea. mdjjlee@dankook.ac.kr.

Funding

Korea Health Industry Development Institute RS-2024-00438829
6 · The paper itself

Abstract

Older adults living alone are often regarded as a vulnerable group exposed to psychosocial risks, yet they are not a homogeneous population. This study aimed to identify distinct clusters of psychosocial well-being within this group and examine key determinants using the World Health Organization Quality of Life (WHOQOL) framework and data from the Intensive Managed Care for Elderly Living Alone (IMCELA) program. A non-hierarchical cluster analysis was conducted based on scores from the Suicidal Ideation Scale (SIS) and the Older People's Quality of Life questionnaire (OPQOL), resulting in three clusters: a baseline cluster with low SIS and low OPQOL, a High Suicidal Ideation cluster, and a High OPQOL cluster. Multinomial logistic regression revealed that higher meal frequency and lower depression scores significantly reduced the likelihood of belonging to the High Suicidal Ideation cluster. Meanwhile, high OPQOL was shaped by a broader set of factors, with perceived social support as the strongest predictor, followed by cognitive functioning, loneliness, and depressive symptoms. These findings suggest that while clinical risk factors such as depression and poor nutrition are key in addressing suicidal ideation, improving quality of life requires comprehensive strategies that enhance emotional and social resources. The results offer practical guidance for developing targeted interventions and policies to support the psychosocial well-being of older adults living alone.

Indexed as

Quality of LifeSuicidal IdeationAgedAged, 80 and overCluster AnalysisDepressionFemaleHumansLonelinessMaleRepublic of KoreaRisk FactorsSocial SupportSurveys and QuestionnairesCluster analysisElderly living aloneQuality of lifeSuicidal ideation

Identifiers

PMID41495327
PMCPMC12855933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.