Evidence map›Paper›PMID 41364413›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2025

Beyond Isolation: Social Determinants of Mental Health among Single-Person Households in Urban Contexts.

Lanhee Ryu, Mi Seon Jeon

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2025. 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

2 authors.

Lanhee RyuDepartment of Local Government Administration, College of Social Science, Gangneung-Wonju National University, Gangneung-Si, Gangwon-Do, 25457, Republic of Korea.
Mi Seon JeonDepartment of Public Administration College of Social Sciences, Pusan National University, Busan, 46241, Republic of Korea. jmiseon@pusan.ac.kr.ORCID http://orcid.org/0009-0009-3246-2107

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid global increase in single-person households has created urgent public mental health challenges, with South Korea showing particularly high levels of depression and suicidal ideation in this group. To address this critical gap, this study applies the Social Determinants of Health framework to analyze how individual, community, and policy factors shape mental health among single-person households. Using data from 41,913 individuals in the 2023 Community Health Survey, combined with regional infrastructure and policy data, we conducted T-tests, regression models, and hierarchical linear modeling (HLM). Results show that single-person households experience depression 1.7 times more frequently than multi-person households and report significantly higher suicidal ideation. Trust and interpersonal networks consistently reduced these risks, while urban residency was associated with poorer outcomes. Local governments' policy commitments showed only limited associations with improved mental health. These findings underscore the need for evidence-based, multi-level policy approaches that enhance social capital and strengthen the capacity of local governments to address the mental health needs of single-person households.

Indexed as

Family CharacteristicsMental HealthSocial Determinants of HealthUrban PopulationAdolescentAdultAgedDepressionFemaleHealth SurveysHumansMaleMiddle AgedRepublic of KoreaSuicidal IdeationYoung AdultDepressionPolicy commitmentSingle-person householdSocial determinants of healthSuicidal ideation

Identifiers

PMID41364413
PMCPMC12738460

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.