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Examining Predictors of Psychological Distress Among Youth Engaging with Jigsaw for a Brief Intervention.

Niall Mac DhonnagáinAileen O ReillyMark ShevlinBarbara Dooley
Published in: Child psychiatry and human development (2022)
Risk factors for psychological distress among help-seeking youth are poorly understood. Addressing this gap is important for informing mental health service provision. This study aimed to identify risk factors among youth attending Jigsaw, a youth mental health service in Ireland. Routine data were collected from N = 9,673 youth who engaged with Jigsaw (Mean age = 16.9 years, SD = 3.14), including presenting issues, levels of psychological distress, age, and gender. Confirmatory Factor Analysis identified thirteen factors of clustering issues. Several factors, including Self-criticism and Negative Thoughts, were strongly associated with items clustering as psychological distress, however these factors were poorly predictive of distress as measured by the CORE (YP-CORE: R 2  = 14.7%, CORE-10: R 2  = 6.9%). The findings provide insight into associations between young people's identified presenting issues and self-identified distress. Implications include applying appropriate therapeutic modalities to focus on risk factors and informing routine outcome measurement in integrated youth mental health services.
Keyphrases
  • mental health
  • physical activity
  • risk factors
  • young adults
  • sleep quality
  • case report
  • machine learning
  • palliative care
  • electronic health record
  • deep learning
  • data analysis