ArticleRevista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)
Suicide risk configuration system in a clustered clinical sample: a generalized linear model obtained through the LASSO technique.
Article in Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Brazilian Psychiatric Association guidelines for the management of suicidal behavior. Part 2. Screening, intervention, and prevention.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)Pooled it
- Clinical Outcomes Following Suicide Attempts: In-Hospital Mortality and Discharge Against Medical Advice.Turk psikiyatri dergisi = Turkish journal of psychiatry · 2026Observational
- Development and validation of the STeP score for predicting tracheostomy in patients with sepsis using a nationwide ICU database: a retrospective observational study.Journal of intensive care · 2025Article
- Concurrent Validity of Digital Measures of Psychological Dimensions Associated with Suicidality Using AuxiliApp.Behavioral sciences (Basel, Switzerland) · 2025Article
- Recognizing states of psychological vulnerability to suicidal behavior: a Bayesian network of artificial intelligence applied to a clinical sample.BMC psychiatry · 2020Article
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Authors and funding
10 authors.
Funding
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Abstract
objectiveTo identify clinical and sociodemographic factors that increase or decrease suicidal risk in a clinical sample of subjects seeking mental health care.
methodA cross-sectional study was performed at three health centers in Santiago, Chile. The Parental Bonding Instrument (PBI), Depressive Experience Questionnaire (DEQ), Outcome Questionnaire (OQ-45.2), Reasons for Living Inventory (RFL), and State Trait Anger Expression Inventory (STAXI-2), in addition to a sociodemographic survey, were applied to 544 participants (333 with suicidal behavior and 211 without current suicidal behavior). Through hierarchical clustering analysis, participants were grouped by similarity regarding suicidal risk. Then, a regression analysis was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) technique, and factors that decrease or increase suicide risk (SR) were identified for each cluster.
resultsThe resultant clusters were grouped mainly by the age of participants. The most important protective factor was having confidence in one's own coping skills in difficult situations. Relevant risk factors were major depressive disorder (MDD), poor anger management, and difficulties in interpersonal relationships.
conclusionsSuicidal risk manifests differently throughout the life cycle, and different types of bonds may protect from or increase risk of suicide.
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