Evidence map›Paper›PMID 41458900›Full record

ArticleDialogues in health2026

Intersectional identity, risk behaviors, and adolescent mental health in South Korea: who suffers the most in the loneliness epidemic?

Eun-Young Lee, Heejun Lim

Abstract read
In one paragraph

Article in Dialogues in health, 2026. 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

2 authors.

Eun-Young LeeSchool of Kinesiology & Health Studies, Queen's University, Kingston, ON, Canada.
Heejun LimSchool of Kinesiology & Health Studies, Queen's University, Kingston, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Intersectionality is a theoretical framework that allows researchers to examine how multiple, overlapping social identities such as gender and socioeconomic status (SES) interact to shape individuals' experiences and contribute to inequalities. This study examined the associations between intersectional identity and mental health among South Korean adolescents and whether risk behaviors modify these associations. Methods: The 2023 Korea Youth Behavior Web-Based Survey (n=52,880; 12-18 years) was used. Gender and family SES served as intersectional identities. Outcome included stress, depression, and loneliness. Alcohol, tobacco, and smartphone use were considered as potential effect modifiers. Decision tree models, logistic regressions, and moderation analyses were performed. Results: Overall, girls reported poorer mental health than boys. When SES was considered, gender X SES was associated with loneliness only, and not with stress or depression. Among boys, the odds of reporting loneliness were higher with lower SES, and this association was further compounded by alcohol or tobacco use within each SES level. Girls reported higher odds of loneliness across all SES levels compared to boys, with low-SES girls experiencing the greatest burden. Alcohol and tobacco use further exacerbated the associations between intersectional identity and loneliness across all groups, particularly in girls. Smartphone use did not modify these associations. Conclusions: Interventions targeting alcohol and tobacco use may be important to prevent loneliness for adolescents with intersectional identities. Loneliness may be shaped by both structural and behavioral factors, supporting the intersectionality as a useful analytical framework to better understand mental health disparities among adolescents.

Indexed as

Alcohol and drug use/abuse/addictionanxietydepressiongenderhealthidentityrisk behavior

Identifiers

PMID41458900
PMCPMC12743536

What Socratic holds

Textmetadata
LicenceCC BY-NC
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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 Socratic graph.