23–26 Sept 2025
Charité Campus Mitte
Europe/Berlin timezone

Hopelessness in Youth: A Supervised Machine Learning Classification Approach to Identify Risk Factors

25 Sept 2025, 12:30
1h
CharitéCrossOver/0-0 - Atrium (Virchowweg 6)

CharitéCrossOver/0-0 - Atrium

Virchowweg 6

300
Poster Posters Day 2 (25 September) Posters day 2

Speaker

Accacia Russell (Florida International University)

Description

Authors: Accacia Russell (Florida International University), Catalina Cañizares (Florida International University), Marc Macgowan (Florida International University)

Feelings of hopelessness in adolescents are consistently associated with mental health outcomes such as depression and suicidality (suicide ideation and suicide attempts). Hopelessness has been added to the DSM and research has demonstrated that prominent levels of hopelessness, hopelessness despite treatment, or a co-occurring diagnosis of depression, have been predictors of suicide. As a result, hopelessness is considered within risk-factor guidelines and integrated into structured suicide-risk assessments. However, hopelessness has acquired secondary consideration in literature and research exploring risk factors that increase the likelihood of adolescents feeling hopeless is scarce. The current study aims to fill this gap by exploring the effect of intra and interpersonal risk and protective factors on adolescents' hopelessness.

Conflict of interest None

Author

Dr Catalina Cañizares (Florida International University)

Co-authors

Accacia Russell (Florida International University) Dr Marc Macgowan (Florida International University)

Presentation materials

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