ArticleThe British journal of psychiatry : the journal of mental science2022
Classification of suicidal thoughts and behaviour in children: results from penalised logistic regression analyses in the Adolescent Brain Cognitive Development study.
Article in The British journal of psychiatry : the journal of mental science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Dynamic Interplay Between Puberty and Structural Brain Development as a Predictor of Mental Health Difficulties in Adolescence: A Systematic Review.Biological psychiatry · 2024Pooled it
- Evidence for the biopsychosocial model of suicide: a review of whole person modeling studies using machine learning.Frontiers in psychiatry · 2023Pooled it
- Social disconnection integrates genetic and proteomic risks in suicidal ideation and depression.Translational psychiatry · 2026Article
- Untangling relationships between cognitive development and child and adolescent mental health: Findings from the ABCD Study.Developmental cognitive neuroscience · 2026Review
- The prospect of suicide biomarkers: from neurobiology to precision prevention.Frontiers in psychology · 2026Review
- Machine learning-based nomogram for non-suicidal self-injury among depressed adolescents: a multicentre study.Frontiers in psychiatry · 2026Article
- Longitudinal panel networks of risk and protective factors for early adolescent suicidality in the ABCD sample.Development and psychopathology · 2025Article
- Characteristics Differentiating Preadolescents With Suicidal Ideation From Those Who Display Suicidal Behaviors.Suicide & life-threatening behavior · 2025Article
- Intersectional marginalized identities as predictors of time until first reported suicide attempt among preadolescent youth using survival analysis.Journal of child psychology and psychiatry, and allied disciplines · 2025Article
- Decoding vital variables in predicting different phases of suicide among young adults with childhood sexual abuse: a machine learning approach.Translational psychiatry · 2025Article
- Correlation and risk factor analysis of suicidal behavior in adolescents with depression: the impact of stress and childhood trauma.Frontiers in psychiatry · 2025Article
- Automatically extracting social determinants of health for suicide: a narrative literature review.Npj mental health research · 2024Review
- Proinflammatory cytokine levels, cognitive function, and suicidal symptoms of adolescents and young adults with major depressive disorder.European archives of psychiatry and clinical neuroscience · 2024Article
- Identifying behaviour-related and physiological risk factors for suicide attempts in the UK Biobank.Nature human behaviour · 2024Article
- Neuroimaging and natural language processing-based classification of suicidal thoughts in major depressive disorder.Translational psychiatry · 2024Article
- Suicidal Thoughts and Trajectories of Psychopathological and Behavioral Symptoms in Adolescence.JAMA network open · 2024Article
- Assessing Detection of Children With Suicide-Related Emergencies: Evaluation and Development of Computable Phenotyping Approaches.JMIR mental health · 2023Article
- A Deeper Dive Into the Relation Between Psychotic-like Experiences and Suicidal Ideation and Behaviors in Children Across the United States.Schizophrenia bulletin · 2022Article
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Abstract
backgroundDespite efforts to predict suicide risk in children, the ability to reliably identify who will engage in suicide thoughts or behaviours has remained unsuccessful.
aimsWe apply a novel machine-learning approach and examine whether children with suicide thoughts or behaviours could be differentiated from children without suicide thoughts or behaviours based on a combination of traditional (sociodemographic, physical health, social-environmental, clinical psychiatric) risk factors, but also more novel risk factors (cognitive, neuroimaging and genetic characteristics).
methodThe study included 5885 unrelated children (50% female, 67% White, 9-11 years of age) from the Adolescent Brain Cognitive Development (ABCD) study. We performed penalised logistic regression analysis to distinguish between: (a) children with current or past suicide thoughts or behaviours; (b) children with a mental illness but no suicide thoughts or behaviours (clinical controls); and (c) healthy control children (no suicide thoughts or behaviours and no history of mental illness). The model was subsequently validated with data from seven independent sites involved in the ABCD study (n = 1712).
resultsOur results showed that we were able to distinguish the suicide thoughts or behaviours group from healthy controls (area under the receiver operating characteristics curve: 0.80 child-report, 0.81 for parent-report) and clinical controls (0.71 child-report and 0.76-0.77 parent-report). However, we could not distinguish children with suicidal ideation from those who attempted suicide (AUROC: 0.55-0.58 child-report; 0.49-0.53 parent-report). The factors that differentiated the suicide thoughts or behaviours group from the clinical control group included family conflict, prodromal psychosis symptoms, impulsivity, depression severity and history of mental health treatment.
conclusionsThis work highlights that mostly clinical psychiatric factors were able to distinguish children with suicide thoughts or behaviours from children without suicide thoughts or behaviours. Future research is needed to determine if these variables prospectively predict subsequent suicidal behaviour.
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