Predicting the trajectory of non-suicidal self-injury among adolescents.

Journal: Journal of child psychology and psychiatry, and allied disciplines
PMID: 39136673

Abstract

BACKGROUND: Non-suicidal self-injury (NSSI) is common among adolescents receiving inpatient psychiatric treatment and the months post-discharge is a high-risk period for self-injurious behavior. Thus, identifying predictors that shape the course of post-discharge NSSI may provide insights into ways to improve clinical outcomes. Accordingly, we used machine learning to identify the strongest predictors of NSSI trajectories drawn from a comprehensive clinical assessment.

Authors

  • Geneva E Mason
    Department of Psychology, University of Victoria, Victoria, BC, Canada.
  • Randy P Auerbach
    Department of Psychiatry, Columbia University, New York, NY, USA.
  • Jeremy G Stewart
    Department of Psychology, Queen's University, Kingston, ON, Canada.

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