ArticleBehaviour research and therapy2024
Heterogeneity in suicide risk: Evidence from personalized dynamic models.
Article in Behaviour research and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Heterogeneous trajectories of suicidal ideation and depressive symptoms during an indicated school-based CBT intervention: a group-based trajectory modeling study.BMC psychology · 2026Trial
- Conceptualization From the Sensors to Suicide-Related Outcomes: Scoping Review Based on Layered Hierarchical Sensemaking Framework.JMIR mHealth and uHealth · 2026Article
- Examining the Potential of Person-centered Temporal Network Models to Individualize Type 1 Diabetes Care.International journal of behavioral medicine · 2026Article
- AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation.JMIR AI · 2026Article
- Development and validation of the SuPr-10 questionnaire for suicidality assessment in primary care patients with depressive symptoms.Scientific reports · 2026Article
- Molecular Mechanisms of Menstrual Cycle-Related Suicide Risk: A Selective Review of Promising Candidate Systems.Biological psychiatry · 2026Review
- Evaluating the role of cost and fairness in machine learning models of suicide risk.Scientific reports · 2026Article
- An initial exploration of the daily associations between opioid use and acute suicide risk: The role of posttraumatic stress symptoms.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2026Article
- A methodological proof-of-concept of a data-driven, personalized, blended digital health intervention for suicidal thoughts and behaviors: A case series.Internet interventions · 2026Article
- Momentary stress and social context among adolescents at risk for suicide: An experience sampling study.Journal of affective disorders · 2026Article
- Considerations for evaluating the practical utility of machine learning in suicide risk estimation: the role of cost and equity.Research square · 2025Article
- Personalized models of eating disorder symptoms and suicide risk in anorexia nervosa spectrum disorders: protocol for a longitudinal, passive-sensing study.BMC psychology · 2025Article
- Engagement in Ecological Momentary Assessment of Suicidal Thoughts and Behaviors: A Mixed Methods Study.Behavior therapy · 2025Article
- Rumination as a within-person indirect pathway between daily negative life events and suicidal ideation in recently hospitalized adults.Journal of psychiatric research · 2025Article
- Revisiting the Affect Regulation Model of Suicide Ideation: Bidirectional Effects of Momentary Suicide Ideation and Affect.Suicide & life-threatening behavior · 2025Article
- Article
- Emotion Forecasting: A Transformer-Based Approach.Journal of medical Internet research · 2025Article
- Integrating dynamic psychophysiological indices across time and contexts: Elucidating mechanisms, risk markers, and intervention targets.Psychophysiology · 2024Review
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
Most theories of suicide propose within-person changes in psychological states cause suicidal thoughts/behaviors; however, most studies use between-person analyses. Thus, there are little empirical data exploring current theories in the way they are hypothesized to occur. We used a form of statistical modeling called group iterative multiple model estimation (GIMME) to explore one theory of suicide: The Interpersonal Theory of Suicide (IPTS). GIMME estimates personalized statistical models for each individual and associations shared across individuals. Data were from a real-time monitoring study of individuals with a history of suicidal thoughts/behavior (adult sample: participants = 111, observations = 25,242; adolescent sample: participants = 145, observations = 26,182). Across both samples, none of theorized IPTS effects (i.e., contemporaneous effect from hopeless to suicidal thinking) were shared at the group level. There was significant heterogeneity in the personalized models, suggesting there are different pathways through which different people come to experience suicidal thoughts/behaviors. These findings highlight the complexity of suicide risk and the need for more personalized approaches to assessment and prediction.
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Registered trials
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.