Evidence map›Paper›PMID 41717354›Full record

ArticleGlobal mental health (Cambridge, England)2026

Adolescent health lifestyles and suicidality: Emerging risks in a latent class analysis.

Sarah Bitar, Felipe G Mendes, Joana Lopes Ferreira, Robin Samuel, Carolina Catunda

Abstract read
In one paragraph

Article in Global mental health (Cambridge, England), 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

5 authors.

Sarah BitarDepartment of Social Sciences, University of Luxembourg, Luxembourg.ORCID https://orcid.org/0000-0002-8157-7447
Felipe G MendesDepartment of Social Sciences, University of Luxembourg, Luxembourg.
Joana Lopes FerreiraDepartment of Social Sciences, University of Luxembourg, Luxembourg.
Robin SamuelDepartment of Social Sciences, University of Luxembourg, Luxembourg.
Carolina CatundaDepartment of Social Sciences, University of Luxembourg, Luxembourg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adolescent suicidal behavior is a major global public health concern. Risks are often shaped not only by individual behaviors alone but also by broader constellations of health lifestyles. We aim to identify distinct adolescent health lifestyles and assess their associations with suicidal ideation and suicide attempts. Using data from the 2022 Luxembourg Health Behaviour in School-aged Children survey, latent class analysis identified five health lifestyle classes based on seven behaviors (diet, physical activity, substance use and problematic social media use). Hierarchical logistic regression was employed to assess associations with past-year suicidal ideation and suicide attempt. Compared to Class 1 (Healthy behaviors), adolescents in Class 2 (High substance use) had significantly higher odds of suicidal ideation (odds ratio [OR] = 2.5, 95% confidence interval [CI]: 2.0-3.1) and suicide attempt (OR = 2.9, 95% CI: 2.2-3.8). Class 3 (Digital vulnerabilities) also showed elevated odds of ideation (OR = 3.0, 95% CI: 2.2-4.0) and attempt (OR = 2.3, 95% CI: 1.6-3.4). Class 4 (High alcohol use) was associated with suicidal ideation only (OR = 1.4, 95% CI: 1.1-1.8). Class 5 (No substance use) showed no significant associations with either outcome. Our findings underscore the importance of considering multidimensional health lifestyles, including emerging risks such as vaping and problematic social media use in adolescent suicide prevention strategies.

Indexed as

adolescenthealth lifestylessuicidalitysuicide prevention

Identifiers

PMID41717354
PMCPMC12914475

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LicenceCC BY-NC-ND
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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.