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Updated: Jan 15, 2026
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Handwriting Analysis Indicates Spontaneous Dyskinesias in Neuroleptic Naïve Adolescents at High Risk for Psychosis
Published on: November 21, 2013
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Simulation Networks Elucidate the Preliminary Structure of Suicide Risk Factors Among Adolescents
Jeffrey V Tabares1, Alexander Muela2,3, Ennio Ammendola1
1Department of Psychiatry, Larner College of Medicine, University of Vermont; Burlington, Vermont, USA.
Summary
Suicide risk networks differ between adolescents with and without suicidal ideation. Identifying key risk factors like perceived burdensomeness can help prevent adolescent suicide in residential care.
Area of Science:
- Psychiatry
- Public Health
- Network Science
Background:
- Suicide is a global public health issue.
- Adolescent suicide rates are high, yet risk factors remain understudied, especially in residential care.
- This study examines suicide risk factor networks in vulnerable adolescents.
Purpose of the Study:
- To identify structural differences in suicide risk factor networks.
- To compare networks between adolescents reporting suicidal ideation versus those not reporting it.
- To inform targeted interventions for adolescent suicide prevention.
Main Methods:
- Network analysis of data from 415 adolescents (ages 12-18) in residential care.
- Assessment of suicidal cognitions, mental pain, depression, hopelessness, and other risk factors.
- Creation of separate networks for adolescents with and without suicidal ideation.
Main Results:
- Distinct network structures and influential risk factors were found between groups.
- 'Suicidal ideation' network: driven by perceived burdensomeness, suicidal cognitions, and entrapment.
- 'No suicidal ideation' network: driven by perceived burdensomeness, entrapment, and psychache.
Conclusions:
- Network structures and key risk factors differ based on suicidal ideation status.
- Identified influential factors offer potential targets for suicide prevention interventions.
- This research aids in understanding and disrupting adolescent suicide risk networks.
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