Evidence map›Paper›PMID 38956575›Full record

ArticleBMC psychiatry2024

Childhood adversity and suicidal ideation in older Korean adults: unraveling the mediating mechanisms of mental health, physical health, and social relationships.

Jin-Kyung Lee, Jinhee Lee, Moo-Kwon Chung, Taeksoo Shin, Ji Young Park, Kyoung-Joung Lee, Hyo-Sang Lim, Sangwon Hwang, Erdenebayar Urtnasan, Yongmie Jo and 1 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2024. 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

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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Jin-Kyung LeeInstitute for Poverty Alleviation and International Development, Yonsei University, Mirae Campus, Wonju, Republic of Korea.
Jinhee LeeDepartment of Psychiatry, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
Moo-Kwon ChungInstitute for Poverty Alleviation and International Development, Yonsei University, Mirae Campus, Wonju, Republic of Korea.
Taeksoo ShinDepartment of Business Administration, Yonsei University, Mirae Campus, Wonju, Republic of Korea.
Ji Young ParkDepartment of Social Welfare, Sangji University, Wonju, Republic of Korea.
Kyoung-Joung LeeDepartment of Biomedical Engineering, Yonsei University, Mirae Campus, Wonju, Republic of Korea.
Hyo-Sang LimDepartment of Computer & Telecommunications Engineering, Yonsei University, Mirae Campus, Wonju, Republic of Korea.
Sangwon HwangDepartment of Precision Medicine, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
Erdenebayar UrtnasanArtificial Intelligence Bigdata Medical Center, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea.
Yongmie JoDepartment of Global Public Administration, Yonsei University, Mirae Campus, Wonju, Republic of Korea.
Min-Hyuk KimDepartment of Psychiatry, Wonju College of Medicine, Yonsei University, Wonju, Republic of Korea. mhkim09@yonsei.ac.kr.

Funding

the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea NRF-2020S1A5A2A03045088
6 · The paper itself

Abstract

backgroundSuicide rates in older adults are much higher than those in younger age groups. Given the rapid increase in the proportion of older adults in Korea and the high suicide rate of this age group, it is worth investigating the mechanism of suicidal ideation for older adults. Generally, adverse childhood experiences are positively associated with suicidal ideation; however, it is not fully understood what mediating relationships are linked to the association between these experiences and current suicidal ideation.

methodsThe data from 685 older Korean adults were analyzed utilizing logistic regression, path analyses, and structural equation modeling. Based on our theoretical background and the empirical findings of previous research, we examined three separate models with mental health, physical health, and social relationship mediators. After that, we tested a combined model including all mediators. We also tested another combined model with mediation via mental health moderated by physical health and social relationships.

resultsThe univariate logistic regression results indicated that childhood adversity was positively associated with suicidal ideation in older adults. However, multivariate logistic regression results demonstrated that the direct effect of childhood adversity became nonsignificant after accounting all variables. Three path models presented significant mediation by depression and social support in the association between childhood adversity and suicidal ideation. However, combined structural equation models demonstrated that only mediation by a latent variable of mental health problems was statistically significant. Social relationships moderated the path from mental health problems to suicidal ideation.

conclusionsDespite several limitations, this study has clinical implications for the development of effective strategies to mitigate suicidal ideation. In particular, effectively screening the exposure to adverse childhood experiences, early identification and treatment of depressive symptoms can play a crucial role in weakening the association between childhood adversity and suicidal ideation in older adults.

Indexed as

Adverse Childhood ExperiencesHealth StatusSocial SupportSuicidal IdeationAgedAged, 80 and overDepressionFemaleHumansMaleMental HealthMiddle AgedRepublic of KoreaAdverse childhood experiencesMediationMental healthOlder adultsPhysical healthSocial relationshipsSuicidal ideation

Identifiers

PMID38956575
PMCPMC11221153

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.