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Risk Factors for Suicidal Thoughts and Behaviors: A Meta-Analysis of 50 Years of Research
A meta-analysis of studies that have attempted to longitudinally predict a specific STB-related outcome suggests the need for a shift in focus from risk factors to machine learning-based risk algorithms.
Main predictions of the interpersonal-psychological theory of suicidal behavior: empirical tests in two samples of young adults.
The interpersonal-psychological theory of suicidal behavior makes 2 overarching predictions: that perceptions of burdening others and of social alienation combine to instill the desire for death and that individuals will not act on the want to die unless they have developed the capability to do so.
Fearlessness about death: the psychometric properties and construct validity of the revision to the acquired capability for suicide scale.
Findings support the viability of the ACSS-FAD, indicating the scale has a replicable factor structure that generalizes across males and females and is substantively related to the construct of fearlessness about death.
Overcoming the fear of lethal injury: evaluating suicidal behavior in the military through the lens of the Interpersonal-Psychological Theory of Suicide.
Sleep problems outperform depression and hopelessness as cross-sectional and longitudinal predictors of suicidal ideation and behavior in young adults in the military.
Meta-analysis of risk factors for nonsuicidal self-injury.
A brief mobile app reduces nonsuicidal and suicidal self-injury: Evidence from three randomized controlled trials.
Future versions of brief, mobile interventions like that tested here may have the potential to reduce SITBs and related behaviors on a large scale.
Depression and hopelessness as risk factors for suicide ideation, attempts and death: meta-analysis of longitudinal studies
- J. Ribeiro, Xieyining Huang, K. Fox, J. Franklin
- PsychologyBritish Journal of Psychiatry
- 28 March 2018
Overall prediction was weaker than anticipated, with weighted mean odds ratios of 1.96 for ideation, attempt or death using any depression or hopelessness variable, and several methodological constraints were prominent across studies.
Predicting Risk of Suicide Attempts Over Time Through Machine Learning
Traditional approaches to the prediction of suicide attempts have limited the accuracy and scale of risk detection for these dangerous behaviors. We sought to overcome these limitations by applying…