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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.<\/jats:p>\n                  <jats:p>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\u2009=\u200920.10, SD\u2009=\u20092.41). 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.<\/jats:p>\n                  <jats:p>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.<\/jats:p>\n                  <jats:p>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.<\/jats:p>","DOI":"10.1007\/s11126-026-10256-9","type":"journal-article","created":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T10:15:19Z","timestamp":1769508919000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Latent Profiles of Suicide Risk in University Students: a Multidimensional Model Integrating sleep, mood, interpersonal, and Behavioral Factors"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5795-5834","authenticated-orcid":false,"given":"Valentina","family":"Baldini","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giorgia","family":"Varallo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giulia","family":"Pisan\u00f2","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Martina","family":"Gnazzo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Diana","family":"De Ronchi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrew","family":"Tubbs","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Serge","family":"Brand","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuseppe","family":"Plazzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Andrea","family":"Fiorillo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,1,27]]},"reference":[{"key":"10256_CR1","volume-title":"Suicide worldwide in 2019: global health estimates","author":"World Health Organization","year":"2021","unstructured":"World Health Organization. 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