Evidence map›Paper›PMID 41591597›Full record

ArticleThe Psychiatric quarterly2026

Latent Profiles of Suicide Risk in University Students: a Multidimensional Model Integrating sleep, mood, interpersonal, and Behavioral Factors.

Valentina Baldini, Giorgia Varallo, Giulia Pisanò, Martina Gnazzo, Diana De Ronchi, Andrew Tubbs, Serge Brand, Giuseppe Plazzi, Andrea Fiorillo

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Article in The Psychiatric quarterly, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
–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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. 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

9 authors.

Valentina BaldiniDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Viale Carlo Pepoli 5, Bologna, 40123, Italy. valentina.baldini@unimore.it.ORCID http://orcid.org/0000-0001-5795-5834
Giorgia VaralloDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Giulia PisanòDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Martina GnazzoDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Diana De RonchiDepartment of Biomedical and Neuromotor Sciences, University of Bologna, Viale Carlo Pepoli 5, Bologna, 40123, Italy.
Andrew TubbsDepartment of Psychiatry, Washington University, Saint Louis, MO, USA.
Serge BrandPsychiatric Clinics of the University of Basel, Centre for Affective, Stress and Sleep Disorders, Basel, Switzerland.
Giuseppe PlazziDepartment of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy.
Andrea FiorilloDepartment of Psychiatry, University of Campania "Luigi Vanvitelli", Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Suicidal ideation is prevalent among university students and is associated with a complex interplay of psychological, interpersonal, and behavioral factors. While prior research has examined individual predictors such as sleep disturbances, depressive symptoms, and impulsivity, less is known about how these factors co-occur in clinically distinct profiles. This study aimed to identify latent profiles of suicide risk using a multidimensional model.We conducted a secondary data analysis using the Assessing Nocturnal Sleep/Wake Effects on Risk of Suicide (ANSWERS) dataset, which includes self-reported data from 971 U.S. university students aged 18 to 52 years (M = 20.10, SD = 2.41). Seven continuous variables were included as indicators: sleep quality (PSQI), insomnia severity (ISI), depressive symptoms (CES-D), suicidal ideation severity (C-SSRS), thwarted belongingness and perceived burdensomeness (INQ), and total impulsivity (UPPS-P). Latent Profile Analysis (LPA) was employed to identify subgroups, and model fit was assessed using the AIC, BIC, and entropy.Latent Profile Analysis identified five distinct profiles based on indicators of sleep, affect, interpersonal behavior, and impulsivity. These included a severely distressed profile characterized by elevated depressive symptoms, suicidal ideation, sleep disturbances, and interpersonal burden; an interpersonally burdened profile with mild affective symptoms; a moderately symptomatic profile; a psychologically resilient profile with minimal symptoms across domains; and a high impulsivity profile accompanied by emotional dysregulation.This study identified five clinically distinct profiles of suicide risk in a large sample of university students. These results may inform the development of tailored screening and intervention strategies in campus-based mental health settings.

Indexed as

DepressionImpulsivityInterpersonal theoryLatent profile analysisSleepSuicidal ideationUniversity students

Identifiers

PMID41591597

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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.