suicide
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Social connectedness is a protective factor against short-term suicide attempts (post discharge) in school children
Researchers in the USA have performed a multi-site, prospective analysis of >2,000 adolescents aged 12-17 years to try to determine the short-term predictors of suicide attempts within 3-months of an emergency department visit. The study population was enriched to include a high proportion of adolescents at risk for suicide attempts.
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Suicide and Self-harm National Conference
Dr. Dennis Ougrin explains more about his session at our National Conference on Suicide and Self Harm.
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Effective prevention of suicidal behaviours in adolescents – from targeted treatments to firearms restriction – Professor Lars Mehlum
Professor Lars Mehlum at the launch of the JCPP Special issue 2019 – Suicide and self-harm. Lars looks at ‘Effective prevention of suicidal behaviours in adolescents – from targeted treatments to firearms restriction’
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Biological explanations of links between childhood adversity and later self-harm: a focus on inflammation – Dr. Abigail Russell
Dr. Abigail Russell at the launch of the JCPP Special issue 2019 – Suicide and self-harm. Abby looks at ‘Biological explanations of links between childhood adversity and later self-harm: a focus on inflammation’
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In Conversation… Suicide and Self-harm with Professor David Cottrell
David discusses school-based interventions, recent studies on prevention/intervention and (SHIFT), a large multi-centre randomised controlled trial, investigating systemic family therapy following teenage self-harm.
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How to reduce self-harm in young people – Professor David Cottrell
Professor David Cottrell at the launch of the JCPP Special issue 2019 – Suicide and self-harm. David looks at ‘How to reduce self-harm in young people – Challenges for future research’
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In Conversation… Suicide and Self-harm with Professor Lars Mehlum
Lars discusses dialectical behaviour therapy for adolescents (DBT-A) as an intervention, his most recent paper in The JCPP, national strategies for suicide prevention and the latest clinical research.
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Machine learning approach predicts suicide risk
A study has evaluated the performance of machine learning on routinely collected electronic health records, as a possible approach to accurately screen and detect adolescents at risk of making suicide attempts.
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The family environment mediates risk of self-harming
Non-suicidal self-injury (NSSI) constitutes any deliberate physical injury to oneself that is not life-threatening. It is a behaviour that commonly starts during adolescence. Childhood family adversity (CFA) is associated with NSSI, but the risk pathways between CFA and NSSI are unclear.
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