Evidence map›Paper›PMID 38811003›Full record

ArticlePsychiatry investigation2024

Identifying Subgroups of Suicidality Among Adolescents and Influencing Factors Using Latent Class Analysis.

Seojung Kim, SuHyuk Chi, Boram Chae, Jongha Lee

Abstract read
In one paragraph

Article in Psychiatry investigation, 2024. 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

4 authors.

Seojung KimDepartment of Education, Ewha Womans University, Seoul, Republic of Korea.
SuHyuk ChiDepartment of Psychiatry, Korea University Guro Hospital, Seoul, Republic of Korea.
Boram ChaeDepartment of Psychiatry, Korea University Ansan Hospital, Ansan, Republic of Korea.
Jongha LeeDepartment of Psychiatry, Korea University Ansan Hospital, Ansan, Republic of Korea.

Funding

Korea Disease Control and Prevention Agency Q2315581Korea University Ansan Hospital K2316001
6 · The paper itself

Abstract

objectiveWe aimed to classify subgroups of suicidality among adolescents and identify the influencing factors of the classification of these latent classes.

methodsSuicidal thought, plans, and attempts as well as the feelings of sadness/hopelessness and loneliness were utilized as indicators to derive the suicidality classes. Additionally, health behaviors, such as dietary habits, physical activity, experiences of violence victimization, sexual activity, and deviant behavior, along with demographic factors, such as sex, school year, grades, and household income, were considered as influencing factors. The analysis utilized data from the 18th Youth Health Behavior Survey (2022) conducted by the Korea Disease Control and Prevention Agency, involving 51,850 middle and high school students.

resultsThe findings revealed three latent classes of suicidality among adolescents: "active suicidality," "passive suicidality," and "non-suicidality." The influencing factor analysis indicated that all factors, with the exception of high-intensity physical activities, significantly influenced the classification of latent classes of suicidality. Notably, walking exercise and the frequency of exercise during physical education class were found to be factors that differentiated between active and passive suicidality within the suicidality classes.

conclusionThis study employed nationwide data to identify the exhibited suicidality classes among adolescents and tested the influencing factors necessary for predicting such classes. The study's findings offer valuable insights for policy development in suicide prevention and suggest the need for developing customized interventions tailored to each identified class.

Indexed as

AdolescentLatent class analysisLonelinessPhysical activitySuicidal ideation

Identifiers

PMID38811003
PMCPMC11136585

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.